1
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Alanizi AA, Sorlin AM, Parker MFL, López-Álvarez M, Qin H, Lee SH, Blecha J, Rosenberg OS, Engel J, Ohliger MA, Flavell RR, Wilson DM. Bioorthogonal Radiolabeling of Azide-Modified Bacteria Using [ 18F]FB-sulfo-DBCO. Bioconjug Chem 2024; 35:517-527. [PMID: 38482815 PMCID: PMC11036355 DOI: 10.1021/acs.bioconjchem.4c00024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 04/18/2024]
Abstract
Purpose: This study was motivated by the need for better positron emission tomography (PET)-compatible tools to image bacterial infection. Our previous efforts have targeted bacteria-specific metabolism via assimilation of carbon-11 labeled d-amino acids into the bacterial cell wall. Since the chemical determinants of this incorporation are not fully understood, we sought a high-throughput method to label d-amino acid derived structures with fluorine-18. Our strategy employed a chemical biology approach, whereby an azide (-N3) bearing d-amino acid is incorporated into peptidoglycan muropeptides, with subsequent "click" cycloaddition with an 18F-labeled strained cyclooctyne partner. Procedures: A water-soluble, 18F-labeled and dibenzocyclooctyne (DBCO)-derived radiotracer ([18F]FB-sulfo-DBCO) was synthesized. This tracer was incubated with pathogenic bacteria treated with azide-bearing d-amino acids, and incorporated 18F was determined via gamma counting. In vitro uptake in bacteria previously treated with azide-modified d-amino acids was compared to that in cultures treated with amino acid controls. The biodistribution of [18F]FB-sulfo-DBCO was studied in a cohort of healthy mice with implications for future in vivo imaging. Results: The new strain-promoted azide-alkyne cycloaddition (SPAAC) radiotracer [18F]FB-sulfo-DBCO was synthesized with high radiochemical yield and purity via N-succinimidyl 4-[18F]fluorobenzoate ([18F]SFB). Accumulation of [18F]FB-sulfo-DBCO was significantly higher in several bacteria treated with azide-modified d-amino acids than in controls; for example, we observed 7 times greater [18F]FB-sulfo-DBCO ligation in Staphylococcus aureus cultures incubated with 3-azido-d-alanine versus those incubated with d-alanine. Conclusions: The SPAAC radiotracer [18F]FB-sulfo-DBCO was validated in vitro via metabolic labeling of azide-bearing peptidoglycan muropeptides. d-Amino acid-derived PET radiotracers may be more efficiently screened via [18F]FB-sulfo-DBCO modification.
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Affiliation(s)
- Aryn A. Alanizi
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Alexandre M. Sorlin
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Matthew F. L. Parker
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
- Department
of Psychiatry, Renaissance School of Medicine
at Stony Brook University, Stony
Brook, New York 11794, United States
| | - Marina López-Álvarez
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Hecong Qin
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Sang Hee Lee
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Joseph Blecha
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Oren S. Rosenberg
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Joanne Engel
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Michael A. Ohliger
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
- Department
of Radiology, Zuckerberg San Francisco General
Hospital, San Francisco, California 94110, United States
| | - Robert R. Flavell
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - David M. Wilson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
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2
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Yu MA, Banta AB, Ward RD, Prasad NK, Kwon MS, Rosenberg OS, Peters JM. Investigating Pseudomonas aeruginosa Gene Function During Pathogenesis Using Mobile-CRISPRi. Methods Mol Biol 2024; 2721:13-32. [PMID: 37819512 DOI: 10.1007/978-1-0716-3473-8_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
CRISPR interference (CRISPRi) is a robust gene silencing technique that is ideal for targeting essential and conditionally essential (CE) genes. CRISPRi is especially valuable for investigating gene function in pathogens such as P. aeruginosa where essential and CE genes underlie clinically important phenotypes such as antibiotic susceptibility and virulence. To facilitate the use of CRISPRi in diverse bacteria-including P. aeruginosa-we developed a suite of modular, mobilizable, and integrating vectors we call, "Mobile-CRISPRi." We further optimized Mobile-CRISPRi for use in P. aeruginosa mouse models of acute lung infection by expressing the CRISPRi machinery at low levels constitutively, enabling partial knockdown of essential and CE genes without the need for an exogenous inducer. Here, we describe protocols for creating Mobile-CRISPRi knockdown strains and testing their phenotypes in a mouse pneumonia model of P. aeruginosa infection. In addition, we provide comprehensive guide RNA designs to target genes in common laboratory strains of P. aeruginosa and other Pseudomonas species.
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Affiliation(s)
- Michelle A Yu
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Amy B Banta
- Pharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
- Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI, USA
| | - Ryan D Ward
- Pharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI, USA
| | - Neha K Prasad
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Michael S Kwon
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Oren S Rosenberg
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Jason M Peters
- Pharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
- Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA.
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3
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Sunshine S, Puschnik AS, Replogle JM, Laurie MT, Liu J, Zha BS, Nuñez JK, Byrum JR, McMorrow AH, Frieman MB, Winkler J, Qiu X, Rosenberg OS, Leonetti MD, Ye CJ, Weissman JS, DeRisi JL, Hein MY. Systematic functional interrogation of SARS-CoV-2 host factors using Perturb-seq. Nat Commun 2023; 14:6245. [PMID: 37803001 PMCID: PMC10558542 DOI: 10.1038/s41467-023-41788-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/15/2023] [Indexed: 10/08/2023] Open
Abstract
Genomic and proteomic screens have identified numerous host factors of SARS-CoV-2, but efficient delineation of their molecular roles during infection remains a challenge. Here we use Perturb-seq, combining genetic perturbations with a single-cell readout, to investigate how inactivation of host factors changes the course of SARS-CoV-2 infection and the host response in human lung epithelial cells. Our high-dimensional data resolve complex phenotypes such as shifts in the stages of infection and modulations of the interferon response. However, only a small percentage of host factors showed such phenotypes upon perturbation. We further identified the NF-κB inhibitor IκBα (NFKBIA), as well as the translation factors EIF4E2 and EIF4H as strong host dependency factors acting early in infection. Overall, our study provides massively parallel functional characterization of host factors of SARS-CoV-2 and quantitatively defines their roles both in virus-infected and bystander cells.
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Affiliation(s)
- Sara Sunshine
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | | | - Joseph M Replogle
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
| | - Matthew T Laurie
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Jamin Liu
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
- University of California, Berkeley-UCSF Joint Graduate Program in Bioengineering, San Francisco, CA, USA
| | - Beth Shoshana Zha
- Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - James K Nuñez
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Department of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Janie R Byrum
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA
| | | | - Matthew B Frieman
- Department of Microbiology and Immunology, Center for Pathogen Research, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Juliane Winkler
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
- Center for Cancer Research, Medical University of Vienna, Vienna, Austria
| | - Xiaojie Qiu
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Oren S Rosenberg
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | | | - Chun Jimmie Ye
- Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Institute of Human Genetics, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Jonathan S Weissman
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Joseph L DeRisi
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.
| | - Marco Y Hein
- Chan Zuckerberg Biohub, San Francisco, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Vienna, Austria.
- Medical University of Vienna, Center for Medical Biochemistry, Vienna, Austria.
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4
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Parker MFL, López-Álvarez M, Alanizi AA, Luu JM, Polvoy I, Sorlin AM, Qin H, Lee S, Rabbitt SJ, Pichardo-González PA, Ordonez AA, Blecha J, Rosenberg OS, Flavell RR, Engel J, Jain SK, Ohliger MA, Wilson DM. Evaluating the Performance of Pathogen-Targeted Positron Emission Tomography Radiotracers in a Rat Model of Vertebral Discitis-Osteomyelitis. J Infect Dis 2023; 228:S281-S290. [PMID: 37788505 PMCID: PMC11009497 DOI: 10.1093/infdis/jiad159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Vertebral discitis-osteomyelitis (VDO) is a devastating infection of the spine that is challenging to distinguish from noninfectious mimics using computed tomography and magnetic resonance imaging. We and others have developed novel metabolism-targeted positron emission tomography (PET) radiotracers for detecting living Staphylococcus aureus and other bacteria in vivo, but their head-to-head performance in a well-validated VDO animal model has not been reported. METHODS We compared the performance of several PET radiotracers in a rat model of VDO. [11C]PABA and [18F]FDS were assessed for their ability to distinguish S aureus, the most common non-tuberculous pathogen VDO, from Escherichia coli. RESULTS In the rat S aureus VDO model, [11C]PABA could detect as few as 103 bacteria and exhibited the highest signal-to-background ratio, with a 20-fold increased signal in VDO compared to uninfected tissues. In a proof-of-concept experiment, detection of bacterial infection and discrimination between S aureus and E coli was possible using a combination of [11C]PABA and [18F]FDS. CONCLUSIONS Our work reveals that several bacteria-targeted PET radiotracers had sufficient signal to background in a rat model of S aureus VDO to be potentially clinically useful. [11C]PABA was the most promising tracer investigated and warrants further investigation in human VDO.
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Affiliation(s)
- Matthew F L Parker
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, New York
| | - Marina López-Álvarez
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Aryn A Alanizi
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Justin M Luu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Ilona Polvoy
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Alexandre M Sorlin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Hecong Qin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Sanghee Lee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Sarah J Rabbitt
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | | | - Alvaro A Ordonez
- Center for Infection and Inflammation Imaging Research, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Joseph Blecha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | | | - Robert R Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Joanne Engel
- Department of Medicine, University of California, San Francisco
- UCSF Department of Microbiology and Immunology, San Francisco, California
| | - Sanjay K Jain
- Center for Infection and Inflammation Imaging Research, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
- Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - David M Wilson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
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5
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Sorlin A, López-Álvarez M, Rabbitt SJ, Alanizi AA, Shuere R, Bobba KN, Blecha J, Sakhamuri S, Evans MJ, Bayles KW, Flavell RR, Rosenberg OS, Sriram R, Desmet T, Nidetzky B, Engel J, Ohliger MA, Fraser JS, Wilson DM. Chemoenzymatic Syntheses of Fluorine-18-Labeled Disaccharides from [ 18F] FDG Yield Potent Sensors of Living Bacteria In Vivo. J Am Chem Soc 2023; 145:17632-17642. [PMID: 37535945 PMCID: PMC10436271 DOI: 10.1021/jacs.3c03338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Indexed: 08/05/2023]
Abstract
Chemoenzymatic techniques have been applied extensively to pharmaceutical development, most effectively when routine synthetic methods fail. The regioselective and stereoselective construction of structurally complex glycans is an elegant application of this approach that is seldom applied to positron emission tomography (PET) tracers. We sought a method to dimerize 2-deoxy-[18F]-fluoro-d-glucose ([18F]FDG), the most common tracer used in clinical imaging, to form [18F]-labeled disaccharides for detecting microorganisms in vivo based on their bacteria-specific glycan incorporation. When [18F]FDG was reacted with β-d-glucose-1-phosphate in the presence of maltose phosphorylase, the α-1,4- and α-1,3-linked products 2-deoxy-[18F]-fluoro-maltose ([18F]FDM) and 2-deoxy-2-[18F]-fluoro-sakebiose ([18F]FSK) were obtained. This method was further extended with the use of trehalose (α,α-1,1), laminaribiose (β-1,3), and cellobiose (β-1,4) phosphorylases to synthesize 2-deoxy-2-[18F]fluoro-trehalose ([18F]FDT), 2-deoxy-2-[18F]fluoro-laminaribiose ([18F]FDL), and 2-deoxy-2-[18F]fluoro-cellobiose ([18F]FDC). We subsequently tested [18F]FDM and [18F]FSK in vitro, showing accumulation by several clinically relevant pathogens including Staphylococcus aureus and Acinetobacter baumannii, and demonstrated their specific uptake in vivo. Both [18F]FDM and [18F]FSK were stable in human serum with high accumulation in preclinical infection models. The synthetic ease and high sensitivity of [18F]FDM and [18F]FSK to S. aureus including methicillin-resistant (MRSA) strains strongly justify clinical translation of these tracers to infected patients. Furthermore, this work suggests that chemoenzymatic radiosyntheses of complex [18F]FDG-derived oligomers will afford a wide array of PET radiotracers for infectious and oncologic applications.
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Affiliation(s)
- Alexandre
M. Sorlin
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Marina López-Álvarez
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Sarah J. Rabbitt
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Aryn A. Alanizi
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Rebecca Shuere
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Kondapa Naidu Bobba
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Joseph Blecha
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Sasank Sakhamuri
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Michael J. Evans
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Kenneth W. Bayles
- Department
of Pathology and Microbiology, University
of Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Robert R. Flavell
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Oren S. Rosenberg
- Department
of Medicine University of California, San
Francisco, San Francisco, California 94158, United States
| | - Renuka Sriram
- Department
of Biotechnology, Ghent University, Gent B-9000, Belgium
| | - Tom Desmet
- Department
of Biotechnology, Ghent University, Gent B-9000, Belgium
| | - Bernd Nidetzky
- Institute
of Biotechnology and Biochemical Engineering, Graz University of Technology, Graz 8010, Austria
| | - Joanne Engel
- Department
of Biotechnology, Ghent University, Gent B-9000, Belgium
| | - Michael A. Ohliger
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
- Department
of Radiology Zuckerberg San Francisco General
Hospital, San Francisco, California 94110, United States
| | - James S. Fraser
- Department
of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94158, United States
| | - David M. Wilson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
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6
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Sorlin AM, López-Álvarez M, Rabbitt SJ, Alanizi AA, Shuere R, Bobba KN, Blecha J, Sakhamuri S, Evans MJ, Bayles KW, Flavell RR, Rosenberg OS, Sriram R, Desmet T, Nidetzky B, Engel J, Ohliger MA, Fraser JS, Wilson DM. Chemoenzymatic syntheses of fluorine-18-labeled disaccharides from [ 18 F]FDG yield potent sensors of living bacteria in vivo. bioRxiv 2023:2023.05.20.541529. [PMID: 37293043 PMCID: PMC10245702 DOI: 10.1101/2023.05.20.541529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Chemoenzymatic techniques have been applied extensively to pharmaceutical development, most effectively when routine synthetic methods fail. The regioselective and stereoselective construction of structurally complex glycans is an elegant application of this approach, that is seldom applied to positron emission tomography (PET) tracers. We sought a method to dimerize 2-deoxy-[ 18 F]-fluoro-D-glucose ([ 18 F]FDG), the most common tracer used in clinical imaging, to form [ 18 F]-labeled disaccharides for detecting microorganisms in vivo based on their bacteria-specific glycan incorporation. When [ 18 F]FDG was reacted with β-D-glucose-1-phosphate in the presence of maltose phosphorylase, both the α-1,4 and α-1,3-linked products 2-deoxy-[ 18 F]-fluoro-maltose ([ 18 F]FDM) and 2-deoxy-2-[ 18 F]-fluoro-sakebiose ([ 18 F]FSK) were obtained. This method was further extended with the use of trehalose (α,α-1,1), laminaribiose (β-1,3), and cellobiose (β-1,4) phosphorylases to synthesize 2-deoxy-2-[ 18 F]fluoro-trehalose ([ 18 F]FDT), 2-deoxy-2-[ 18 F]fluoro-laminaribiose ([ 18 F]FDL), and 2-deoxy-2-[ 18 F]fluoro-cellobiose ([ 18 F]FDC). We subsequently tested [ 18 F]FDM and [ 18 F]FSK in vitro, showing accumulation by several clinically relevant pathogens including Staphylococcus aureus and Acinetobacter baumannii, and demonstrated their specific uptake in vivo. The lead sakebiose-derived tracer [ 18 F]FSK was stable in human serum and showed high uptake in preclinical models of myositis and vertebral discitis-osteomyelitis. Both the synthetic ease, and high sensitivity of [ 18 F]FSK to S. aureus including methicillin-resistant (MRSA) strains strongly justify clinical translation of this tracer to infected patients. Furthermore, this work suggests that chemoenzymatic radiosyntheses of complex [ 18 F]FDG-derived oligomers will afford a wide array of PET radiotracers for infectious and oncologic applications.
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7
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Remesh SG, Merz GE, Brilot AF, Chio US, Rizo AN, Pospiech TH, Lui I, Laurie MT, Glasgow J, Le CQ, Zhang Y, Diwanji D, Hernandez E, Lopez J, Mehmood H, Pawar KI, Pourmal S, Smith AM, Zhou F, DeRisi J, Kortemme T, Rosenberg OS, Glasgow A, Leung KK, Wells JA, Verba KA. Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps. Structure 2023; 31:253-264.e6. [PMID: 36805129 PMCID: PMC9936628 DOI: 10.1016/j.str.2023.01.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/23/2022] [Accepted: 01/25/2023] [Indexed: 02/19/2023]
Abstract
The SARS-CoV-2 Omicron variant, with 15 mutations in Spike receptor-binding domain (Spike-RBD), renders virtually all clinical monoclonal antibodies against WT SARS-CoV-2 ineffective. We recently engineered the SARS-CoV-2 host entry receptor, ACE2, to tightly bind WT-RBD and prevent viral entry into host cells ("receptor traps"). Here we determine cryo-EM structures of our receptor traps in complex with stabilized Spike ectodomain. We develop a multi-model pipeline combining Rosetta protein modeling software and cryo-EM to allow interface energy calculations even at limited resolution and identify interface side chains that allow for high-affinity interactions between our ACE2 receptor traps and Spike-RBD. Our structural analysis provides a mechanistic rationale for the high-affinity (0.53-4.2 nM) binding of our ACE2 receptor traps to Omicron-RBD confirmed with biolayer interferometry measurements. Finally, we show that ACE2 receptor traps potently neutralize Omicron and Delta pseudotyped viruses, providing alternative therapeutic routes to combat this evolving virus.
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Affiliation(s)
- Soumya G Remesh
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA; QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Gregory E Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Axel F Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Alexandrea N Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Thomas H Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Irene Lui
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Mathew T Laurie
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jeff Glasgow
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Chau Q Le
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yun Zhang
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Hevatib Mehmood
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Amber M Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Joseph DeRisi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; QBI, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA; The University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Oren S Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Anum Glasgow
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.
| | - Kevin K Leung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA.
| | - Kliment A Verba
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, San Francisco, CA 94158, USA; QBI, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA.
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8
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Kim SK, Dickinson MS, Finer-Moore J, Guan Z, Kaake RM, Echeverria I, Chen J, Pulido EH, Sali A, Krogan NJ, Rosenberg OS, Stroud RM. Structure and dynamics of the essential endogenous mycobacterial polyketide synthase Pks13. Nat Struct Mol Biol 2023; 30:296-308. [PMID: 36782050 PMCID: PMC10312659 DOI: 10.1038/s41594-022-00918-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 12/21/2022] [Indexed: 02/15/2023]
Abstract
The mycolic acid layer of the Mycobacterium tuberculosis cell wall is essential for viability and virulence, and the enzymes responsible for its synthesis are targets for antimycobacterial drug development. Polyketide synthase 13 (Pks13) is a module encoding several enzymatic and transport functions that carries out the condensation of two different long-chain fatty acids to produce mycolic acids. We determined structures by cryogenic-electron microscopy of dimeric multi-enzyme Pks13 purified from mycobacteria under normal growth conditions, captured with native substrates. Structures define the ketosynthase (KS), linker and acyl transferase (AT) domains at 1.8 Å resolution and two alternative locations of the N-terminal acyl carrier protein. These structures suggest intermediate states on the pathway for substrate delivery to the KS domain. Other domains, visible at lower resolution, are flexible relative to the KS-AT core. The chemical structures of three bound endogenous long-chain fatty acid substrates were determined by electrospray ionization mass spectrometry.
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Affiliation(s)
- Sun Kyung Kim
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Miles Sasha Dickinson
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
- Chemistry and Chemical Biology Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Janet Finer-Moore
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Ziqiang Guan
- Department of Biochemistry, Duke University Medical Center, Durham, NC, USA
| | - Robyn M Kaake
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ignacia Echeverria
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, USA
| | - Jen Chen
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Ernst H Pulido
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | - Andrej Sali
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Nevan J Krogan
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.
- Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA.
| | - Robert M Stroud
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.
- Chemistry and Chemical Biology Graduate Program, University of California San Francisco, San Francisco, CA, USA.
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9
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Stroud RM, Kyung Kim S, Dickinson MSS, Rosenberg OS. Structure and dynamics of the essential endogenous mycobacterial polyketide synthase PKs13 by cryogenic electron microscopy. Biophys J 2023; 122:543a. [PMID: 36784814 DOI: 10.1016/j.bpj.2022.11.2877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Affiliation(s)
- Robert M Stroud
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Sun Kyung Kim
- University of California San Francisco, San Francisco, CA, USA
| | - Miles Sasha S Dickinson
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
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10
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Kim SK, Dickinson MS, Finer-Moore J, Guan Z, Kaake RM, Echeverria I, Chen J, Pulido EH, Sali A, Krogan NJ, Rosenberg OS, Stroud RM. Structure and dynamics of the essential endogenous mycobacterial polyketide synthase Pks13. bioRxiv 2023:2023.01.27.525930. [PMID: 36747776 PMCID: PMC9900942 DOI: 10.1101/2023.01.27.525930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Mycobacterium tuberculosis is currently the leading cause of death by any bacterial infection1. The mycolic acid layer of the cell wall is essential for viability and virulence, and the enzymes responsible for its synthesis are therefore front line targets for antimycobacterial drug development2,3. Polyketide synthase 13 (Pks13) is a module comprised of a closely symmetric parallel dimer of chains, each encoding several enzymatic and transport functions, that carries out the condensation of two different very long chain fatty acids to produce mycolic acids that are essential components of the mycobacterial cell wall. Consequently individual enzymatic domains of Pks13 are targets for antimycobacterial drug development4. To understand this machinery, we sought to determine the structure and domain trajectories of the dimeric multi-enzyme Pks13, a 2×198,426 Dalton complex, from protein purified endogenously from mycobacteria under normal growth conditions, to capture it with normal substrates bound trapped 'in action'. Structures of the multi-domain assembly revealed by cryogenic electron microscopy (cryoEM) define the ketosynthase (KS), linker, and acyltransferase (AT) domains, each at atomic resolution (1.8Å), with bound substrates defined at 2.4Å and 2.9Å resolution. Image classification reveals two distinct structures with alternate locations of the N-terminal acyl carrier protein (termed ACP1a, ACP1b) seen at 3.6Å and 4.6Å resolution respectively. These two structures suggest plausible intermediate states, related by a ~60Å movement of ACP1, on the pathway for substrate delivery from the fatty acyl-ACP ligase (FadD32) to the ketosynthase domain. The linking sequence between ACP1 and the KS includes an 11 amino acid sequence with 6 negatively charged side chains that lies in different positively charged grooves on the KS in ACP1a versus ACP1b structures. This charge complementarity between the extended chain and the grooves suggests some stabilization of these two distinct orientations. Other domains are visible at lower resolution and indicate flexibility relative to the KS-AT core. The chemical structures of three bound endogenous long chain fatty acid substrates with their proximal regions defined in the structures were determined by electrospray ionization mass spectrometry. The domain proximities were probed by chemical cross-linking and identified by mass spectrometry. These were incorporated into integrative structure modeling to define multiple domain configurations that transport the very long fatty acid chains throughout the multistep Pks13 mediated synthetic pathway.
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Affiliation(s)
- Sun Kyung Kim
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, U.S.A
- These authors contributed equally
| | - Miles Sasha Dickinson
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, U.S.A
- Chemistry and Chemical Biology Graduate Program, University of California San Francisco, San Francisco, CA 94143, U.S.A
- These authors contributed equally
| | - Janet Finer-Moore
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, U.S.A
| | - Ziqiang Guan
- Department of Biochemistry, Duke University Medical Center, Durham, NC 27710
| | - Robyn M. Kaake
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, U.S.A
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, U.S.A
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, California, U.S.A
| | - Ignacia Echeverria
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, U.S.A
- Department of Bioengineering and Therapeutic sciences
| | - Jen Chen
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, U.S.A
| | - Ernst H. Pulido
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, U.S.A
| | - Andrej Sali
- Department of Bioengineering and Therapeutic sciences
| | - Nevan J. Krogan
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, U.S.A
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, U.S.A
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, California, U.S.A
| | - Oren S. Rosenberg
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, U.S.A
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, U.S.A
| | - Robert M. Stroud
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, U.S.A
- Chemistry and Chemical Biology Graduate Program, University of California San Francisco, San Francisco, CA 94143, U.S.A
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11
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Perier C, Nasinghe E, Charles I, Ssetaba LJ, Ahyong V, Bangs D, Beatty PR, Czudnochowski N, Diallo A, Dugan E, Fabius JM, Fong Baker H, Gardner J, Isaacs S, Joanah B, Kalantar K, Kateete D, Knight M, Krasilnikov M, Krogan NJ, Langelier C, Lee E, Li LM, Licht D, Lien K, Lyons Z, Mboowa G, Mwebaza I, Mwesigwa S, Nalwadda G, Nichols R, Penaranda ME, Petnic S, Phelps M, Popper SJ, Rape M, Reingold A, Robbins R, Rosenberg OS, Savage DF, Schildhauer S, Settles ML, Sserwadda I, Stanley S, Tato CM, Tsitsiklis A, Van Dis E, Vanaerschot M, Vinden J, Cox JS, Joloba ML, Schaletzky J. Workshop-based learning and networking: a scalable model for research capacity strengthening in low- and middle-income countries. Glob Health Action 2022; 15:2062175. [PMID: 35730550 PMCID: PMC9225690 DOI: 10.1080/16549716.2022.2062175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Science education and research have the potential to drive profound change in low- and middle-income countries (LMICs) through encouraging innovation, attracting industry, and creating job opportunities. However, in LMICs, research capacity is often limited, and acquisition of funding and access to state-of-the-art technologies is challenging. The Alliance for Global Health and Science (the Alliance) was founded as a partnership between the University of California, Berkeley (USA) and Makerere University (Uganda), with the goal of strengthening Makerere University’s capacity for bioscience research. The flagship program of the Alliance partnership is the MU/UCB Biosciences Training Program, an in-country, hands-on workshop model that trains a large number of students from Makerere University in infectious disease and molecular biology research. This approach nucleates training of larger and more diverse groups of students, development of mentoring and bi-directional research partnerships, and support of the local economy. Here, we describe the project, its conception, implementation, challenges, and outcomes of bioscience research workshops. We aim to provide a blueprint for workshop implementation, and create a valuable resource for bioscience research capacity strengthening in LMICs.
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Affiliation(s)
- Celine Perier
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA
| | | | - Isabelle Charles
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA
| | | | - Vida Ahyong
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Derek Bangs
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - P Robert Beatty
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | | | - Amy Diallo
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Eli Dugan
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Jacqueline M Fabius
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
| | - Hildy Fong Baker
- School of Public Health, Center for Global Public Health (CGPH), University of California, Berkeley, CA, USA
| | - Jackson Gardner
- Department of Medicine, University of California, San Francisco, CA, USA
| | | | - Birungi Joanah
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | | | - David Kateete
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Matt Knight
- Department of Plant and Microbial Biology, University of California, Berkeley, CA, USA
| | - Maria Krasilnikov
- Department of Molecular Biology and Microbiology, Tufts Graduate School of Biomedical Sciences, Boston, MA, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA.,Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | | | - Eric Lee
- Graduate Group in Infectious Diseases and Immunity, School of Public Health, University of California, Berkeley, CA, USA
| | - Lucy M Li
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Daniel Licht
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Katie Lien
- Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Zilose Lyons
- California China Climate Institute, University of California, Berkeley, CA, USA
| | - Gerald Mboowa
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Ivan Mwebaza
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | | | | | - Robert Nichols
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | | | - Sarah Petnic
- Quality and Clinical Excellence Department, Providence Queen of the Valley Medical Center, Napa, CA, USA
| | | | - Stephen J Popper
- Sustainable Sciences Institute, San Francisco, CA, USA.,School of Public Health, Department of Infectious Disease and Vaccinology, University of California, Berkeley, CA, USA
| | - Michael Rape
- Howard Hughes Medical Institute, University of California, Berkeley, CA, USA
| | - Arthur Reingold
- Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, CA, USA
| | | | - Oren S Rosenberg
- Department of Medicine, University of California, San Francisco, CA, USA
| | - David F Savage
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | | | | | - Ivan Sserwadda
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Sarah Stanley
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.,Division of Infectious Disease and Vaccinology, School of Public Health, University of California, Berkeley, CA, USA
| | | | | | - Erik Van Dis
- Department of Immunology, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Joanna Vinden
- Division of Infectious Diseases and Immunity, School of Public Health, University of California, Berkeley, CA, USA
| | - Jeffery S Cox
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Moses L Joloba
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Julia Schaletzky
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA
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12
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Polvoy I, Seo Y, Parker M, Stewart M, Siddiqua K, Manacsa HS, Ravanfar V, Blecha J, Hope TA, Vanbrocklin H, Flavell RR, Barry J, Hansen E, Villanueva-Meyer JE, Engel J, Rosenberg OS, Wilson DM, Ohliger MA. Imaging joint infections using D-methyl- 11C-methionine PET/MRI: initial experience in humans. Eur J Nucl Med Mol Imaging 2022; 49:3761-3771. [PMID: 35732972 PMCID: PMC9399217 DOI: 10.1007/s00259-022-05858-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 05/30/2022] [Indexed: 01/03/2023]
Abstract
PURPOSE Non-invasive imaging is a key clinical tool for detection and treatment monitoring of infections. Existing clinical imaging techniques are frequently unable to distinguish infection from tumors or sterile inflammation. This challenge is well-illustrated by prosthetic joint infections that often complicate joint replacements. D-methyl-11C-methionine (D-11C-Met) is a new bacteria-specific PET radiotracer, based on an amino acid D-enantiomer, that is rapidly incorporated into the bacterial cell wall. In this manuscript, we describe the biodistribution, radiation dosimetry, and initial human experience using D-11C-Met in patients with suspected prosthetic joint infections. METHODS 614.5 ± 100.2 MBq of D-11C-Met was synthesized using an automated in-loop radiosynthesis method and administered to six healthy volunteers and five patients with suspected prosthetic joint infection, who were studied by PET/MRI. Time-activity curves were used to calculate residence times for each source organ. Absorbed doses to each organ and body effective doses were calculated using OLINDA/EXM 1.1 with both ICRP 60 and ICRP 103 tissue weighting factors. SUVmax and SUVpeak were calculated for volumes of interest (VOIs) in joints with suspected infection, the unaffected contralateral joint, blood pool, and soft tissue background. A two-tissue compartment model was used for kinetic modeling. RESULTS D-11C-Met was well tolerated in all subjects. The tracer showed clearance from both urinary (rapid) and hepatobiliary (slow) pathways as well as low effective doses. Moreover, minimal background was observed in both organs with resident micro-flora and target organs, such as the spine and musculoskeletal system. Additionally, D-11C-Met showed increased focal uptake in areas of suspected infection, demonstrated by a significantly higher SUVmax and SUVpeak calculated from VOIs of joints with suspected infections compared to the contralateral joints, blood pool, and background (P < 0.01). Furthermore, higher distribution volume and binding potential were observed in suspected infections compared to the unaffected joints. CONCLUSION D-11C-Met has a favorable radiation profile, minimal background uptake, and fast urinary extraction. Furthermore, D-11C-Met showed increased uptake in areas of suspected infection, making this a promising approach. Validation in larger clinical trials with a rigorous gold standard is still required.
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Affiliation(s)
- Ilona Polvoy
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Youngho Seo
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
- Department of Nuclear Engineering, University of California, Berkeley, CA USA
| | - Matthew Parker
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Megan Stewart
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Khadija Siddiqua
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Harrison S. Manacsa
- Department of Orthopedic Surgery, University of California, San Francisco, CA USA
| | - Vahid Ravanfar
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Joseph Blecha
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Thomas A. Hope
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Henry Vanbrocklin
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Robert R. Flavell
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Jeffrey Barry
- Department of Orthopedic Surgery, University of California, San Francisco, CA USA
| | - Erik Hansen
- Department of Orthopedic Surgery, University of California, San Francisco, CA USA
| | - Javier E. Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
| | - Joanne Engel
- Department of Medicine, University of California, San Francisco, CA USA
- Departments of Medicine and Microbiology and Immunology, University of California, San Francisco, CA USA
| | - Oren S. Rosenberg
- Department of Medicine, University of California, San Francisco, CA USA
- Chan Zuckerberg Biohub, San Francisco, CA USA
| | - David M. Wilson
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Ave., San Francisco, CA 94143 USA
| | - Michael A. Ohliger
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry Street, San Francisco, CA 94107 USA
- Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, CA USA
- Department of Radiology and Biomedical Imaging, University of California, 1001 Potrero Ave. 1x55D, San Francisco, CA 94110 USA
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13
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Remesh SG, Merz GE, Brilot AF, Chio US, Rizo AN, Pospiech TH, Lui I, Laurie MT, Glasgow J, Le CQ, Zhang Y, Diwanji D, Hernandez E, Lopez J, Pawar KI, Pourmal S, Smith AM, Zhou F, DeRisi J, Kortemme T, Rosenberg OS, Glasgow A, Leung KK, Wells JA, Verba KA. Computational pipeline provides mechanistic understanding of Omicron variant of concern neutralizing engineered ACE2 receptor traps. bioRxiv 2022:2022.08.09.503400. [PMID: 35982665 PMCID: PMC9387132 DOI: 10.1101/2022.08.09.503400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The SARS-CoV-2 Omicron variant, with 15 mutations in Spike receptor binding domain (Spike-RBD), renders virtually all clinical monoclonal antibodies against WT SARS-CoV-2 ineffective. We recently engineered the SARS-CoV-2 host entry receptor, ACE2, to tightly bind WT-Spike-RBD and prevent viral entry into host cells ("receptor traps"). Here we determine cryo-EM structures of our receptor traps in complex with full length Spike. We develop a multi-model pipeline combining Rosetta protein modeling software and cryo-EM to allow interface energy calculations even at limited resolution and identify interface side chains that allow for high affinity interactions between our ACE2 receptor traps and Spike-RBD. Our structural analysis provides a mechanistic rationale for the high affinity (0.53 - 4.2nM) binding of our ACE2 receptor traps to Omicron-RBD confirmed with biolayer interferometry measurements. Finally, we show that ACE2 receptor traps potently neutralize Omicron- and Delta-pseudotyped viruses, providing alternative therapeutic routes to combat this evolving virus.
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Affiliation(s)
- Soumya G. Remesh
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Gregory E. Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Axel F. Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Alexandrea N. Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Thomas H. Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Irene Lui
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
| | - Mathew T. Laurie
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA - 94158, USA
| | - Jeff Glasgow
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
| | - Chau Q. Le
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
| | - Yun Zhang
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Amber M. Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | | | - Joseph DeRisi
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA - 94158, USA
- Chan Zuckerberg Biohub, San Francisco, CA - 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA - 94158, USA
- The University of California, Berkeley–University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA - 94158, USA
| | - Oren S. Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
| | - Anum Glasgow
- Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA
| | - Kevin K. Leung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
| | - James A. Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
- Chan Zuckerberg Biohub, San Francisco, CA - 94158, USA
- Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA - 94158, USA
| | - Kliment A. Verba
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA - 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA - 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Lead contact
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14
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Solomon PE, Kirkemo LL, Wilson GM, Leung KK, Almond MH, Sayles LC, Sweet-Cordero EA, Rosenberg OS, Coon JJ, Wells JA. Discovery Proteomics Analysis Determines That Driver Oncogenes Suppress Antiviral Defense Pathways Through Reduction in Interferon-β Autocrine Stimulation. Mol Cell Proteomics 2022; 21:100247. [PMID: 35594991 PMCID: PMC9212846 DOI: 10.1016/j.mcpro.2022.100247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 04/27/2022] [Accepted: 05/12/2022] [Indexed: 11/25/2022] Open
Abstract
Since the discovery of oncogenes, there has been tremendous interest to understand their mechanistic basis and to develop broadly actionable therapeutics. Some of the most frequently activated oncogenes driving diverse cancers are c-MYC, EGFR, HER2, AKT, KRAS, BRAF, and MEK. Using a reductionist approach, we explored how cellular proteomes are remodeled in isogenic cell lines engineered with or without these driver oncogenes. The most striking discovery for all oncogenic models was the systematic downregulation of scores of antiviral proteins regulated by type 1 interferon. These findings extended to cancer cell lines and patient-derived xenograft models of highly refractory pancreatic cancer and osteosarcoma driven by KRAS and MYC oncogenes. The oncogenes reduced basal expression of and autocrine stimulation by type 1 interferon causing remarkable convergence on common phenotypic and functional profiles. In particular, there was dramatically lower expression of dsRNA sensors including DDX58 (RIG-I) and OAS proteins, which resulted in attenuated functional responses when the oncogenic cells were treated with the dsRNA mimetic, polyI:C, and increased susceptibility to infection with an RNA virus shown using SARS-CoV-2. Our reductionist approach provides molecular and functional insights connected to immune evasion hallmarks in cancers and suggests therapeutic opportunities.
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Affiliation(s)
- Paige E Solomon
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA
| | - Lisa L Kirkemo
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA
| | - Gary M Wilson
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Kevin K Leung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA
| | - Mark H Almond
- Division of Infectious Diseases, Department of Medicine, UCSF Medical Center, University of California, San Francisco, California, USA
| | - Leanne C Sayles
- Department of Pediatrics, University of California San Francisco, California, USA
| | | | - Oren S Rosenberg
- Division of Infectious Diseases, Department of Medicine, UCSF Medical Center, University of California, San Francisco, California, USA; Department of Biophysics and Biochemistry, Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA.
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15
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Abstract
The World Health Organization (WHO) has warned that our current arsenal of antibiotics is not innovative enough to face impending infectious diseases, especially those caused by multidrug-resistant Gram-negative pathogens. Although the current preclinical pipeline is well stocked with novel candidates, the last U.S. Food and Drug Administration (FDA)-approved antibiotic with a novel mechanism of action against Gram-negative bacteria was discovered nearly 60 years ago. Of all the antibiotic candidates that initiated investigational new drug (IND) applications in the 2000s, 17% earned FDA approval within 12 years, while an overwhelming 62% were discontinued in that time frame. These "leaks" in the clinical pipeline, where compounds with clinical potential are abandoned during clinical development, indicate that scientific innovations are not reaching the clinic and providing benefits to patients. This is true for not only novel candidates but also candidates from existing antibiotic classes with clinically validated targets. By identifying the sources of the leaks in the clinical pipeline, future developmental efforts can be directed toward strategies that are more likely to flow into clinical use. In this review, we conduct a detailed failure analysis of clinical candidates with Gram-negative activity that have fallen out of the clinical pipeline over the past decade. Although limited by incomplete data disclosure from companies engaging in antibiotic development, we attempt to distill the developmental challenges faced by each discontinued candidate. It is our hope that this insight can help de-risk antibiotic development and bring new, effective antibiotics to the clinic.
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Affiliation(s)
- Neha K. Prasad
- Chan Zuckerberg Biohub, San Francisco, California, USA
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA
| | - Ian B. Seiple
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California, USA
| | | | - Oren S. Rosenberg
- Chan Zuckerberg Biohub, San Francisco, California, USA
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Department of Biochemistry, University of California, San Francisco, San Francisco, California, USA
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16
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Gupta M, Azumaya CM, Moritz M, Pourmal S, Diallo A, Merz GE, Jang G, Bouhaddou M, Fossati A, Brilot AF, Diwanji D, Hernandez E, Herrera N, Kratochvil HT, Lam VL, Li F, Li Y, Nguyen HC, Nowotny C, Owens TW, Peters JK, Rizo AN, Schulze-Gahmen U, Smith AM, Young ID, Yu Z, Asarnow D, Billesbølle C, Campbell MG, Chen J, Chen KH, Chio US, Dickinson MS, Doan L, Jin M, Kim K, Li J, Li YL, Linossi E, Liu Y, Lo M, Lopez J, Lopez KE, Mancino A, Moss FR, Paul MD, Pawar KI, Pelin A, Pospiech TH, Puchades C, Remesh SG, Safari M, Schaefer K, Sun M, Tabios MC, Thwin AC, Titus EW, Trenker R, Tse E, Tsui TKM, Wang F, Zhang K, Zhang Y, Zhao J, Zhou F, Zhou Y, Zuliani-Alvarez L, Agard DA, Cheng Y, Fraser JS, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Swaney DL, Krogan NJ, Frost A, Rosenberg OS, Verba KA. CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes. Res Sq 2021:rs.3.rs-515215. [PMID: 34031651 PMCID: PMC8142659 DOI: 10.21203/rs.3.rs-515215/v1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The SARS-CoV-2 protein Nsp2 has been implicated in a wide range of viral processes, but its exact functions, and the structural basis of those functions, remain unknown. Here, we report an atomic model for full-length Nsp2 obtained by combining cryo-electron microscopy with deep learning-based structure prediction from AlphaFold2. The resulting structure reveals a highly-conserved zinc ion-binding site, suggesting a role for Nsp2 in RNA binding. Mapping emerging mutations from variants of SARS-CoV-2 on the resulting structure shows potential host-Nsp2 interaction regions. Using structural analysis together with affinity tagged purification mass spectrometry experiments, we identify Nsp2 mutants that are unable to interact with the actin-nucleation-promoting WASH protein complex or with GIGYF2, an inhibitor of translation initiation and modulator of ribosome-associated quality control. Our work suggests a potential role of Nsp2 in linking viral transcription within the viral replication-transcription complexes (RTC) to the translation initiation of the viral message. Collectively, the structure reported here, combined with mutant interaction mapping, provides a foundation for functional studies of this evolutionary conserved coronavirus protein and may assist future drug design.
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Affiliation(s)
- Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Caleigh M. Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E. Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Axel F. Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T. Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L. Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C. Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tristan W. Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K. Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N. Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M. Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Iris D. Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G. Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Edmond Linossi
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E. Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adamo Mancino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R. Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michael D. Paul
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Thomas H. Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Soumya Govinda Remesh
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Beam Therapeutics, Cambridge, MA 02139, USA
| | - Mariano C Tabios
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C. Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W. Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - David A Agard
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - James S Fraser
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley–University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R. Southworth
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Frost
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Oren S Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
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17
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Gupta M, Azumaya CM, Moritz M, Pourmal S, Diallo A, Merz GE, Jang G, Bouhaddou M, Fossati A, Brilot AF, Diwanji D, Hernandez E, Herrera N, Kratochvil HT, Lam VL, Li F, Li Y, Nguyen HC, Nowotny C, Owens TW, Peters JK, Rizo AN, Schulze-Gahmen U, Smith AM, Young ID, Yu Z, Asarnow D, Billesbølle C, Campbell MG, Chen J, Chen KH, Chio US, Dickinson MS, Doan L, Jin M, Kim K, Li J, Li YL, Linossi E, Liu Y, Lo M, Lopez J, Lopez KE, Mancino A, Moss FR, Paul MD, Pawar KI, Pelin A, Pospiech TH, Puchades C, Remesh SG, Safari M, Schaefer K, Sun M, Tabios MC, Thwin AC, Titus EW, Trenker R, Tse E, Tsui TKM, Wang F, Zhang K, Zhang Y, Zhao J, Zhou F, Zhou Y, Zuliani-Alvarez L, Agard DA, Cheng Y, Fraser JS, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Swaney DL, Krogan NJ, Frost A, Rosenberg OS, Verba KA. CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes. bioRxiv 2021:2021.05.10.443524. [PMID: 34013269 PMCID: PMC8132225 DOI: 10.1101/2021.05.10.443524] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The SARS-CoV-2 protein Nsp2 has been implicated in a wide range of viral processes, but its exact functions, and the structural basis of those functions, remain unknown. Here, we report an atomic model for full-length Nsp2 obtained by combining cryo-electron microscopy with deep learning-based structure prediction from AlphaFold2. The resulting structure reveals a highly-conserved zinc ion-binding site, suggesting a role for Nsp2 in RNA binding. Mapping emerging mutations from variants of SARS-CoV-2 on the resulting structure shows potential host-Nsp2 interaction regions. Using structural analysis together with affinity tagged purification mass spectrometry experiments, we identify Nsp2 mutants that are unable to interact with the actin-nucleation-promoting WASH protein complex or with GIGYF2, an inhibitor of translation initiation and modulator of ribosome-associated quality control. Our work suggests a potential role of Nsp2 in linking viral transcription within the viral replication-transcription complexes (RTC) to the translation initiation of the viral message. Collectively, the structure reported here, combined with mutant interaction mapping, provides a foundation for functional studies of this evolutionary conserved coronavirus protein and may assist future drug design.
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Affiliation(s)
- Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Caleigh M Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Andrea Fossati
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Axel F Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Evelyn Hernandez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tristan W Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Iris D Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kuei-Ho Chen
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Edmond Linossi
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jocelyne Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adamo Mancino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michael D Paul
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Adrian Pelin
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Thomas H Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Soumya Govinda Remesh
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Current affiliation: Beam Therapeutics, Cambridge, MA 02139, USA
| | - Mariano C Tabios
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Lorena Zuliani-Alvarez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - David A Agard
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - James S Fraser
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R Southworth
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Adam Frost
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Oren S Rosenberg
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
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Gordon DE, Hiatt J, Bouhaddou M, Rezelj VV, Ulferts S, Braberg H, Jureka AS, Obernier K, Guo JZ, Batra J, Kaake RM, Weckstein AR, Owens TW, Gupta M, Pourmal S, Titus EW, Cakir M, Soucheray M, McGregor M, Cakir Z, Jang G, O'Meara MJ, Tummino TA, Zhang Z, Foussard H, Rojc A, Zhou Y, Kuchenov D, Hüttenhain R, Xu J, Eckhardt M, Swaney DL, Fabius JM, Ummadi M, Tutuncuoglu B, Rathore U, Modak M, Haas P, Haas KM, Naing ZZC, Pulido EH, Shi Y, Barrio-Hernandez I, Memon D, Petsalaki E, Dunham A, Marrero MC, Burke D, Koh C, Vallet T, Silvas JA, Azumaya CM, Billesbølle C, Brilot AF, Campbell MG, Diallo A, Dickinson MS, Diwanji D, Herrera N, Hoppe N, Kratochvil HT, Liu Y, Merz GE, Moritz M, Nguyen HC, Nowotny C, Puchades C, Rizo AN, Schulze-Gahmen U, Smith AM, Sun M, Young ID, Zhao J, Asarnow D, Biel J, Bowen A, Braxton JR, Chen J, Chio CM, Chio US, Deshpande I, Doan L, Faust B, Flores S, Jin M, Kim K, Lam VL, Li F, Li J, Li YL, Li Y, Liu X, Lo M, Lopez KE, Melo AA, Moss FR, Nguyen P, Paulino J, Pawar KI, Peters JK, Pospiech TH, Safari M, Sangwan S, Schaefer K, Thomas PV, Thwin AC, Trenker R, Tse E, Tsui TKM, Wang F, Whitis N, Yu Z, Zhang K, Zhang Y, Zhou F, Saltzberg D, Hodder AJ, Shun-Shion AS, Williams DM, White KM, Rosales R, Kehrer T, Miorin L, Moreno E, Patel AH, Rihn S, Khalid MM, Vallejo-Gracia A, Fozouni P, Simoneau CR, Roth TL, Wu D, Karim MA, Ghoussaini M, Dunham I, Berardi F, Weigang S, Chazal M, Park J, Logue J, McGrath M, Weston S, Haupt R, Hastie CJ, Elliott M, Brown F, Burness KA, Reid E, Dorward M, Johnson C, Wilkinson SG, Geyer A, Giesel DM, Baillie C, Raggett S, Leech H, Toth R, Goodman N, Keough KC, Lind AL, Klesh RJ, Hemphill KR, Carlson-Stevermer J, Oki J, Holden K, Maures T, Pollard KS, Sali A, Agard DA, Cheng Y, Fraser JS, Frost A, Jura N, Kortemme T, Manglik A, Southworth DR, Stroud RM, Alessi DR, Davies P, Frieman MB, Ideker T, Abate C, Jouvenet N, Kochs G, Shoichet B, Ott M, Palmarini M, Shokat KM, García-Sastre A, Rassen JA, Grosse R, Rosenberg OS, Verba KA, Basler CF, Vignuzzi M, Peden AA, Beltrao P, Krogan NJ. Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms. Science 2020; 370:eabe9403. [PMID: 33060197 PMCID: PMC7808408 DOI: 10.1126/science.abe9403] [Citation(s) in RCA: 427] [Impact Index Per Article: 106.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 10/12/2020] [Indexed: 01/18/2023]
Abstract
The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a grave threat to public health and the global economy. SARS-CoV-2 is closely related to the more lethal but less transmissible coronaviruses SARS-CoV-1 and Middle East respiratory syndrome coronavirus (MERS-CoV). Here, we have carried out comparative viral-human protein-protein interaction and viral protein localization analyses for all three viruses. Subsequent functional genetic screening identified host factors that functionally impinge on coronavirus proliferation, including Tom70, a mitochondrial chaperone protein that interacts with both SARS-CoV-1 and SARS-CoV-2 ORF9b, an interaction we structurally characterized using cryo-electron microscopy. Combining genetically validated host factors with both COVID-19 patient genetic data and medical billing records identified molecular mechanisms and potential drug treatments that merit further molecular and clinical study.
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Affiliation(s)
- David E Gordon
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Joseph Hiatt
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Department of Microbiology and Immunology, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Mehdi Bouhaddou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France
| | - Svenja Ulferts
- Institute for Clinical and Experimental Pharmacology and Toxicology I, University of Freiburg, 79104 Freiburg, Germany
| | - Hannes Braberg
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Alexander S Jureka
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA
| | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jeffrey Z Guo
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jyoti Batra
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Robyn M Kaake
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - Tristan W Owens
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Meghna Gupta
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sergei Pourmal
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Erron W Titus
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Merve Cakir
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Margaret Soucheray
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Michael McGregor
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Zeynep Cakir
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Tia A Tummino
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Ziyang Zhang
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - Helene Foussard
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ajda Rojc
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Dmitry Kuchenov
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ruth Hüttenhain
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jiewei Xu
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Manon Eckhardt
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Jacqueline M Fabius
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
| | - Manisha Ummadi
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Beril Tutuncuoglu
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ujjwal Rathore
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Maya Modak
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Paige Haas
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Kelsey M Haas
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Zun Zar Chi Naing
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ernst H Pulido
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ying Shi
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Danish Memon
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Eirini Petsalaki
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Alistair Dunham
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Miguel Correa Marrero
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - David Burke
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France
| | - Jesus A Silvas
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA
| | - Caleigh M Azumaya
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Christian Billesbølle
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Axel F Brilot
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Melody G Campbell
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Amy Diallo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Miles Sasha Dickinson
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Devan Diwanji
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nadia Herrera
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Nick Hoppe
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Huong T Kratochvil
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yanxin Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Gregory E Merz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Michelle Moritz
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Henry C Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Carlos Nowotny
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cristina Puchades
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alexandrea N Rizo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ursula Schulze-Gahmen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Amber M Smith
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ming Sun
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Beam Therapeutics, Cambridge, MA 02139, USA
| | - Iris D Young
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jianhua Zhao
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Asarnow
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Justin Biel
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Alisa Bowen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Julian R Braxton
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jen Chen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Cynthia M Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Un Seng Chio
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Ishan Deshpande
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Loan Doan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Bryan Faust
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Sebastian Flores
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Mingliang Jin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kate Kim
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Victor L Lam
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fei Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Junrui Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yen-Li Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Li
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Xi Liu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Megan Lo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kyle E Lopez
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Arthur A Melo
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Frank R Moss
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Phuong Nguyen
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Joana Paulino
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Komal Ishwar Pawar
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Jessica K Peters
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Thomas H Pospiech
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Maliheh Safari
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Smriti Sangwan
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Paul V Thomas
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Aye C Thwin
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Raphael Trenker
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Eric Tse
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Tsz Kin Martin Tsui
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Feng Wang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Natalie Whitis
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Zanlin Yu
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Kaihua Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Yang Zhang
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Fengbo Zhou
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
| | - Daniel Saltzberg
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
| | - Anthony J Hodder
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK
| | - Amber S Shun-Shion
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK
| | - Daniel M Williams
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Romel Rosales
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Thomas Kehrer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Arvind H Patel
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland, UK
| | - Suzannah Rihn
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland, UK
| | - Mir M Khalid
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - Parinaz Fozouni
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Camille R Simoneau
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Theodore L Roth
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Department of Microbiology and Immunology, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - David Wu
- Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA 94143, USA
| | - Mohd Anisul Karim
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
- Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Maya Ghoussaini
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK
- Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Ian Dunham
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
- Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Francesco Berardi
- Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari 'ALDO MORO', Via Orabona, 4 70125, Bari, Italy
| | - Sebastian Weigang
- Institute of Virology, Medical Center-University of Freiburg, 79104 Freiburg, Germany
| | - Maxime Chazal
- Département de Virologie, CNRS UMR 3569, Institut Pasteur, Paris 75015, France
| | - Jisoo Park
- Department of Medicine, University of California, San Diego, CA 92093, USA
| | - James Logue
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Marisa McGrath
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Stuart Weston
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Robert Haupt
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - C James Hastie
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Matthew Elliott
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Fiona Brown
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Kerry A Burness
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Elaine Reid
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Mark Dorward
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Clare Johnson
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Stuart G Wilkinson
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Anna Geyer
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Daniel M Giesel
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Carla Baillie
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Samantha Raggett
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Hannah Leech
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Rachel Toth
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Nicola Goodman
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | | | - Abigail L Lind
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | | | - Kafi R Hemphill
- Department of Neurology, University of California, San Francisco, CA 94143, USA
| | | | - Jennifer Oki
- Synthego Corporation, Redwood City, CA 94063, USA
| | - Kevin Holden
- Synthego Corporation, Redwood City, CA 94063, USA
| | | | - Katherine S Pollard
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Andrej Sali
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
| | - David A Agard
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Yifan Cheng
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - James S Fraser
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
| | - Adam Frost
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Natalia Jura
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA
| | - Tanja Kortemme
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
- The University of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, University of California, San Francisco, CA 94158, USA
| | - Aashish Manglik
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Daniel R Southworth
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Robert M Stroud
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
| | - Dario R Alessi
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Paul Davies
- MRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK
| | - Matthew B Frieman
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Trey Ideker
- Department of Medicine, University of California, San Diego, CA 92093, USA
- Department to Bioengineering, University of California, San Diego, CA 92093, USA
| | - Carmen Abate
- Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari 'ALDO MORO', Via Orabona, 4 70125, Bari, Italy
| | - Nolwenn Jouvenet
- Institute of Virology, Medical Center-University of Freiburg, 79104 Freiburg, Germany
- Département de Virologie, CNRS UMR 3569, Institut Pasteur, Paris 75015, France
| | - Georg Kochs
- Institute of Virology, Medical Center-University of Freiburg, 79104 Freiburg, Germany
| | - Brian Shoichet
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Melanie Ott
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Massimo Palmarini
- MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland, UK
| | - Kevan M Shokat
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, San Francisco, CA 94158, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Robert Grosse
- Institute for Clinical and Experimental Pharmacology and Toxicology I, University of Freiburg, 79104 Freiburg, Germany.
- Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, 79104 Freiburg, Germany
| | - Oren S Rosenberg
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA.
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158, USA
- Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Kliment A Verba
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA.
- QBI, University of California, San Francisco, CA 94158, USA
- QBI Coronavirus Research Group Structural Biology Consortium, University of California, San Francisco, CA 94158, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Christopher F Basler
- Center for Microbial Pathogenesis, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA.
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724, Paris, cedex 15, France.
| | - Andrew A Peden
- Department of Biomedical Science, Centre for Membrane Interactions and Dynamics, University of Sheffield, Firth Court, Sheffield S10 2TN, UK.
| | - Pedro Beltrao
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA.
- QBI, University of California, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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Glasgow A, Glasgow J, Limonta D, Solomon P, Lui I, Zhang Y, Nix MA, Rettko NJ, Zha S, Yamin R, Kao K, Rosenberg OS, Ravetch JV, Wiita AP, Leung KK, Lim SA, Zhou XX, Hobman TC, Kortemme T, Wells JA. Engineered ACE2 receptor traps potently neutralize SARS-CoV-2. Proc Natl Acad Sci U S A 2020; 117:28046-28055. [PMID: 33093202 PMCID: PMC7668070 DOI: 10.1073/pnas.2016093117] [Citation(s) in RCA: 169] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
An essential mechanism for severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection begins with the viral spike protein binding to the human receptor protein angiotensin-converting enzyme II (ACE2). Here, we describe a stepwise engineering approach to generate a set of affinity optimized, enzymatically inactivated ACE2 variants that potently block SARS-CoV-2 infection of cells. These optimized receptor traps tightly bind the receptor binding domain (RBD) of the viral spike protein and prevent entry into host cells. We first computationally designed the ACE2-RBD interface using a two-stage flexible protein backbone design process that improved affinity for the RBD by up to 12-fold. These designed receptor variants were affinity matured an additional 14-fold by random mutagenesis and selection using yeast surface display. The highest-affinity variant contained seven amino acid changes and bound to the RBD 170-fold more tightly than wild-type ACE2. With the addition of the natural ACE2 collectrin domain and fusion to a human immunoglobulin crystallizable fragment (Fc) domain for increased stabilization and avidity, the most optimal ACE2 receptor traps neutralized SARS-CoV-2-pseudotyped lentivirus and authentic SARS-CoV-2 virus with half-maximal inhibitory concentrations (IC50s) in the 10- to 100-ng/mL range. Engineered ACE2 receptor traps offer a promising route to fighting infections by SARS-CoV-2 and other ACE2-using coronaviruses, with the key advantage that viral resistance would also likely impair viral entry. Moreover, such traps can be predesigned for viruses with known entry receptors for faster therapeutic response without the need for neutralizing antibodies isolated from convalescent patients.
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Affiliation(s)
- Anum Glasgow
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
| | - Jeff Glasgow
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
| | - Daniel Limonta
- Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada
- Department of Cell Biology, University of Alberta, Edmonton, AB T6G 2H7, Canada
| | - Paige Solomon
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
| | - Irene Lui
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
| | - Yang Zhang
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
| | - Matthew A Nix
- Department of Laboratory Medicine, University of California, San Francisco, CA 94143
| | - Nicholas J Rettko
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
| | - Shoshana Zha
- Department of Medicine, University of California, San Francisco, CA 94143
| | - Rachel Yamin
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY 10065
| | - Kevin Kao
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY 10065
| | - Oren S Rosenberg
- Department of Medicine, University of California, San Francisco, CA 94143
| | - Jeffrey V Ravetch
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY 10065
| | - Arun P Wiita
- Department of Laboratory Medicine, University of California, San Francisco, CA 94143
| | - Kevin K Leung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
| | - Shion A Lim
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
| | - Xin X Zhou
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158
| | - Tom C Hobman
- Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada
- Department of Cell Biology, University of Alberta, Edmonton, AB T6G 2H7, Canada
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2R3, Canada
| | - Tanja Kortemme
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158;
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158
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20
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Polvoy I, Flavell RR, Rosenberg OS, Ohliger MA, Wilson DM. Nuclear Imaging of Bacterial Infection: The State of the Art and Future Directions. J Nucl Med 2020; 61:1708-1716. [PMID: 32764120 DOI: 10.2967/jnumed.120.244939] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 06/23/2020] [Indexed: 12/11/2022] Open
Abstract
Increased mortality rates from infectious diseases is a growing public health concern. Successful management of acute bacterial infections requires early diagnosis and treatment, which are not always easy to achieve. Structural imaging techniques such as CT and MRI are often applied to this problem. However, these methods generally rely on secondary inflammatory changes and are frequently not specific to infection. The use of nuclear medicine techniques can add crucial complementary information, allowing visualization of infectious pathophysiology beyond morphologic imaging. This review will discuss the current structural and functional imaging techniques used for the diagnosis of bacterial infection and their roles in different clinical scenarios. We will also present several new radiotracers in development, with an emphasis on probes targeting bacteria-specific metabolism. As highlighted by the current coronavirus disease 2019 epidemic, caused by the novel severe acute respiratory syndrome coronavirus 2, similar thinking may apply in imaging viral pathogens; for this case, prominent effects on host proteins, most notably angiotensin-converting enzyme 2, might also provide worthwhile imaging targets.
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Affiliation(s)
- Ilona Polvoy
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Robert R Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Oren S Rosenberg
- Department of Medicine, University of California, San Francisco, San Francisco, California; and
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.,Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - David M Wilson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
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21
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Glasgow A, Glasgow J, Limonta D, Solomon P, Lui I, Zhang Y, Nix MA, Rettko NJ, Lim SA, Zha S, Yamin R, Kao K, Rosenberg OS, Ravetch JV, Wiita AP, Leung KK, Zhou XX, Hobman TC, Kortemme T, Wells JA. Engineered ACE2 receptor traps potently neutralize SARS-CoV-2. bioRxiv 2020:2020.07.31.231746. [PMID: 32766586 PMCID: PMC7402043 DOI: 10.1101/2020.07.31.231746] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
An essential mechanism for SARS-CoV-1 and -2 infection begins with the viral spike protein binding to the human receptor protein angiotensin-converting enzyme II (ACE2). Here we describe a stepwise engineering approach to generate a set of affinity optimized, enzymatically inactivated ACE2 variants that potently block SARS-CoV-2 infection of cells. These optimized receptor traps tightly bind the receptor binding domain (RBD) of the viral spike protein and prevent entry into host cells. We first computationally designed the ACE2-RBD interface using a two-stage flexible protein backbone design process that improved affinity for the RBD by up to 12-fold. These designed receptor variants were affinity matured an additional 14-fold by random mutagenesis and selection using yeast surface display. The highest affinity variant contained seven amino acid changes and bound to the RBD 170-fold more tightly than wild-type ACE2. With the addition of the natural ACE2 collectrin domain and fusion to a human Fc domain for increased stabilization and avidity, the most optimal ACE2 receptor traps neutralized SARS-CoV-2 pseudotyped lentivirus and authentic SARS-CoV-2 virus with half-maximal inhibitory concentrations (IC50) in the 10-100 ng/ml range. Engineered ACE2 receptor traps offer a promising route to fighting infections by SARS-CoV-2 and other ACE2-utilizing coronaviruses, with the key advantage that viral resistance would also likely impair viral entry. Moreover, such traps can be predesigned for viruses with known entry receptors for faster therapeutic response without the need for neutralizing antibodies isolated or generated from convalescent patients.
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Affiliation(s)
- Anum Glasgow
- Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, CA
| | - Jeff Glasgow
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
| | - Daniel Limonta
- Li Ka Shing Institute of Virology, University of Alberta, Edmonton, Canada
- Department of Cell Biology, University of Alberta, Edmonton, Canada
| | - Paige Solomon
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
| | - Irene Lui
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
| | - Yang Zhang
- Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, CA
| | - Matthew A. Nix
- Department of Laboratory Medicine, University of California at San Francisco, CA
| | - Nicholas J. Rettko
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
| | - Shion A. Lim
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
| | - Shoshana Zha
- Department of Medicine, University of California at San Francisco, CA
| | - Rachel Yamin
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY
| | - Kevin Kao
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY
| | - Oren S. Rosenberg
- Department of Medicine, University of California at San Francisco, CA
| | - Jeffrey V. Ravetch
- Laboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY
| | - Arun P. Wiita
- Department of Laboratory Medicine, University of California at San Francisco, CA
| | - Kevin K. Leung
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
| | - Xin X. Zhou
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
| | - Tom C. Hobman
- Li Ka Shing Institute of Virology, University of Alberta, Edmonton, Canada
- Department of Cell Biology, University of Alberta, Edmonton, Canada
- Department of Medical Microbiology & Immunology, University of Alberta, Edmonton, Canada
| | - Tanja Kortemme
- Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, CA
| | - James A. Wells
- Department of Pharmaceutical Chemistry, University of California at San Francisco, CA
- Department of Cellular and Molecular Pharmacology, University of California at San Francisco, CA
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22
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Abstract
This review highlights recent efforts to detect bacteria using engineered small molecules that are processed and incorporated similarly to their natural counterparts. There are both scientific and clinical justifications for these endeavors. The use of detectable, cell-wall targeted chemical probes has elucidated microbial behavior, with several fluorescent labeling methods in widespread laboratory use. Furthermore, many existing efforts including ours, focus on developing new imaging tools to study infection in clinical practice. The bacterial cell wall, a remarkably rich and complex structure, is an outstanding target for bacteria-specific detection. Several cell wall components are found in bacteria but not mammals, especially peptidoglycan, lipopolysaccharide, and teichoic acids. As this review highlights, the development of laboratory tools for fluorescence microscopy has vastly outstripped related positron emission tomography (PET) or single photon emission computed tomography (SPECT) radiotracer development. However, there is great synergy between these chemical strategies, which both employ mimicry of endogenous substrates to incorporate detectable structures. As the field of bacteria-specific imaging grows, it will be important to understand the mechanisms involved in microbial incorporation of radionuclides. Additionally, we will highlight the clinical challenges motivating this imaging effort.
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Affiliation(s)
- Matthew F. L. Parker
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
| | - Robert R. Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
| | - Justin M. Luu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
| | - Oren S. Rosenberg
- Department of Medicine, University of California, San Francisco, San Francisco, California 94158, United States
| | - Michael A. Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
- Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, California 94110, United States
| | - David M. Wilson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
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23
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, White KM, O'Meara MJ, Rezelj VV, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Meyer B, Roesch F, Vallet T, Mac Kain A, Miorin L, Moreno E, Naing ZZC, Zhou Y, Peng S, Shi Y, Zhang Z, Shen W, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Lyu J, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Rakesh R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Liboy-Lugo J, Lin Y, Huang XP, Liu Y, Wankowicz SA, Bohn M, Safari M, Ugur FS, Koh C, Savar NS, Tran QD, Shengjuler D, Fletcher SJ, O'Neal MC, Cai Y, Chang JCJ, Broadhurst DJ, Klippsten S, Sharp PP, Wenzell NA, Kuzuoglu-Ozturk D, Wang HY, Trenker R, Young JM, Cavero DA, Hiatt J, Roth TL, Rathore U, Subramanian A, Noack J, Hubert M, Stroud RM, Frankel AD, Rosenberg OS, Verba KA, Agard DA, Ott M, Emerman M, Jura N, von Zastrow M, Verdin E, Ashworth A, Schwartz O, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor SN, Fraser JS, Gross JD, Sali A, Roth BL, Ruggero D, Taunton J, Kortemme T, Beltrao P, Vignuzzi M, García-Sastre A, Shokat KM, Shoichet BK, Krogan NJ. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature 2020; 583:459-468. [PMID: 32353859 PMCID: PMC7431030 DOI: 10.1038/s41586-020-2286-9] [Citation(s) in RCA: 2853] [Impact Index Per Article: 713.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 04/22/2020] [Indexed: 02/07/2023]
Abstract
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bjoern Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Alice Mac Kain
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jiankun Lyu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Kala Bharath Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Ramachandran Rakesh
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Lorenzo Calviello
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Srivats Venkataramanan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jose Liboy-Lugo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Yizhu Lin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Xi-Ping Huang
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - YongFeng Liu
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- Biophysics Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Markus Bohn
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Maliheh Safari
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Fatima S Ugur
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Nastaran Sadat Savar
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Djoshkun Shengjuler
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Sabrina J Fletcher
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | | | | | | | | | | | - Phillip P Sharp
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Nicole A Wenzell
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Duygu Kuzuoglu-Ozturk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Hao-Yuan Wang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Raphael Trenker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Devin A Cavero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph Hiatt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Theodore L Roth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Ujjwal Rathore
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, Paris, France
| | - Robert M Stroud
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Alan D Frankel
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kliment A Verba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - David A Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- J. David Gladstone Institutes, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Eric Verdin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Alan Ashworth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Matt Jacobson
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Trey Ideker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Division of Genetics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Charles S Craik
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Stephen N Floor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - John D Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Bryan L Roth
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Davide Ruggero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
- The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Pedro Beltrao
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France.
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kevan M Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.
- Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.
- J. David Gladstone Institutes, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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24
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Kalita M, Parker MFL, Luu JM, Stewart MN, Blecha JE, VanBrocklin HF, Evans MJ, Flavell RR, Rosenberg OS, Ohliger MA, Wilson DM. Arabinofuranose-derived positron-emission tomography radiotracers for detection of pathogenic microorganisms. J Labelled Comp Radiopharm 2020; 63:231-239. [PMID: 32222086 DOI: 10.1002/jlcr.3835] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/06/2020] [Accepted: 02/26/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE Detection of bacteria-specific metabolism via positron emission tomography (PET) is an emerging strategy to image human pathogens, with dramatic implications for clinical practice. In silico and in vitro screening tools have recently been applied to this problem, with several monosaccharides including l-arabinose showing rapid accumulation in Escherichia coli and other organisms. Our goal for this study was to evaluate several synthetically viable arabinofuranose-derived 18 F analogs for their incorporation into pathogenic bacteria. PROCEDURES We synthesized four radiolabeled arabinofuranose-derived sugars: 2-deoxy-2-[18 F]fluoro-arabinofuranoses (d-2-18 F-AF and l-2-18 F-AF) and 5-deoxy-5-[18 F]fluoro-arabinofuranoses (d-5-18 F-AF and l-5-18 F-AF). The arabinofuranoses were synthesized from 18 F- via triflated, peracetylated precursors analogous to the most common radiosynthesis of 2-deoxy-2-[18 F]fluoro-d-glucose ([18 F]FDG). These radiotracers were screened for their uptake into E. coli and Staphylococcus aureus. Subsequently, the sensitivity of d-2-18 F-AF and l-2-18 F-AF to key human pathogens was investigated in vitro. RESULTS All 18 F radiotracer targets were synthesized in high radiochemical purity. In the screening study, d-2-18 F-AF and l-2-18 F-AF showed greater accumulation in E. coli than in S. aureus. When evaluated in a panel of pathologic microorganisms, both d-2-18 F-AF and l-2-18 F-AF demonstrated sensitivity to most gram-positive and gram-negative bacteria. CONCLUSIONS Arabinofuranose-derived 18 F PET radiotracers can be synthesized with high radiochemical purity. Our study showed absence of bacterial accumulation for 5-substitued analogs, a finding that may have mechanistic implications for related tracers. Both d-2-18 F-AF and l-2-18 F-AF showed sensitivity to most gram-negative and gram-positive organisms. Future in vivo studies will evaluate the diagnostic accuracy of these radiotracers in animal models of infection.
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Affiliation(s)
- Mausam Kalita
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Matthew F L Parker
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Justin M Luu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Megan N Stewart
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Joseph E Blecha
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Henry F VanBrocklin
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Michael J Evans
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Robert R Flavell
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Oren S Rosenberg
- Department of Medicine, University of California San Francisco, San Francisco, California
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.,Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - David M Wilson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
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25
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Gordon DE, Jang GM, Bouhaddou M, Xu J, Obernier K, White KM, O'Meara MJ, Rezelj VV, Guo JZ, Swaney DL, Tummino TA, Hüttenhain R, Kaake RM, Richards AL, Tutuncuoglu B, Foussard H, Batra J, Haas K, Modak M, Kim M, Haas P, Polacco BJ, Braberg H, Fabius JM, Eckhardt M, Soucheray M, Bennett MJ, Cakir M, McGregor MJ, Li Q, Meyer B, Roesch F, Vallet T, Mac Kain A, Miorin L, Moreno E, Naing ZZC, Zhou Y, Peng S, Shi Y, Zhang Z, Shen W, Kirby IT, Melnyk JE, Chorba JS, Lou K, Dai SA, Barrio-Hernandez I, Memon D, Hernandez-Armenta C, Lyu J, Mathy CJP, Perica T, Pilla KB, Ganesan SJ, Saltzberg DJ, Rakesh R, Liu X, Rosenthal SB, Calviello L, Venkataramanan S, Liboy-Lugo J, Lin Y, Huang XP, Liu Y, Wankowicz SA, Bohn M, Safari M, Ugur FS, Koh C, Savar NS, Tran QD, Shengjuler D, Fletcher SJ, O'Neal MC, Cai Y, Chang JCJ, Broadhurst DJ, Klippsten S, Sharp PP, Wenzell NA, Kuzuoglu-Ozturk D, Wang HY, Trenker R, Young JM, Cavero DA, Hiatt J, Roth TL, Rathore U, Subramanian A, Noack J, Hubert M, Stroud RM, Frankel AD, Rosenberg OS, Verba KA, Agard DA, Ott M, Emerman M, Jura N, von Zastrow M, Verdin E, Ashworth A, Schwartz O, d'Enfert C, Mukherjee S, Jacobson M, Malik HS, Fujimori DG, Ideker T, Craik CS, Floor SN, Fraser JS, Gross JD, Sali A, Roth BL, Ruggero D, Taunton J, Kortemme T, Beltrao P, Vignuzzi M, García-Sastre A, Shokat KM, Shoichet BK, Krogan NJ. A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature 2020. [PMID: 32353859 DOI: 10.1038/s41586‐020‐2286‐9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. Further studies of these host-factor-targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
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Affiliation(s)
- David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Gwendolyn M Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew J O'Meara
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tia A Tummino
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Helene Foussard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Kelsey Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Paige Haas
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Hannes Braberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Manon Eckhardt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Melanie J Bennett
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Michael J McGregor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Bjoern Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Ferdinand Roesch
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Alice Mac Kain
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zun Zar Chi Naing
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Shiming Peng
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ziyang Zhang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Wenqi Shen
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Ilsa T Kirby
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - John S Chorba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Kevin Lou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Shizhong A Dai
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
| | - Inigo Barrio-Hernandez
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Jiankun Lyu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Tina Perica
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Kala Bharath Pilla
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Sai J Ganesan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Daniel J Saltzberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Ramachandran Rakesh
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Xi Liu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Sara B Rosenthal
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Lorenzo Calviello
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Srivats Venkataramanan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jose Liboy-Lugo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Yizhu Lin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA
| | - Xi-Ping Huang
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - YongFeng Liu
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Stephanie A Wankowicz
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,Biophysics Graduate Program, University of California San Francisco, San Francisco, CA, USA
| | - Markus Bohn
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Maliheh Safari
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Fatima S Ugur
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Nastaran Sadat Savar
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Djoshkun Shengjuler
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | - Sabrina J Fletcher
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France
| | | | | | | | | | | | - Phillip P Sharp
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Nicole A Wenzell
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Duygu Kuzuoglu-Ozturk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Hao-Yuan Wang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Raphael Trenker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Janet M Young
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Devin A Cavero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph Hiatt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Theodore L Roth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.,Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA
| | - Ujjwal Rathore
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Advait Subramanian
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Julia Noack
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Mathieu Hubert
- Virus and Immunity Unit, Institut Pasteur, Paris, France
| | - Robert M Stroud
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Alan D Frankel
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Oren S Rosenberg
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kliment A Verba
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - David A Agard
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Melanie Ott
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,J. David Gladstone Institutes, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michael Emerman
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Natalia Jura
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Mark von Zastrow
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Eric Verdin
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA.,Buck Institute for Research on Aging, Novato, CA, USA
| | - Alan Ashworth
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Shaeri Mukherjee
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,George William Hooper Foundation, Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Matt Jacobson
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Harmit S Malik
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Danica G Fujimori
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Trey Ideker
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Division of Genetics, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Charles S Craik
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Stephen N Floor
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - James S Fraser
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - John D Gross
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA
| | - Andrej Sali
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Bryan L Roth
- Department of Pharmacology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Davide Ruggero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Jack Taunton
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.,The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, USA
| | - Pedro Beltrao
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA.,European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, Paris, France.
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .,The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Kevan M Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA. .,Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
| | - Brian K Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, USA.
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA. .,Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA. .,J. David Gladstone Institutes, San Francisco, CA, USA. .,Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA. .,Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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26
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Parker ML, Luu JM, Schulte B, Huynh TL, Stewart MN, Sriram R, Yu MA, Jivan S, Turnbaugh PJ, Flavell RR, Rosenberg OS, Ohliger MA, Wilson DM. Sensing Living Bacteria in Vivo Using d-Alanine-Derived 11C Radiotracers. ACS Cent Sci 2020; 6:155-165. [PMID: 32123733 PMCID: PMC7047270 DOI: 10.1021/acscentsci.9b00743] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Indexed: 06/05/2023]
Abstract
Incorporation of d-amino acids into peptidoglycan is a unique metabolic feature of bacteria. Since d-amino acids are not metabolic substrates in most mammalian tissues, this difference can be exploited to detect living bacteria in vivo. Given the prevalence of d-alanine in peptidoglycan muropeptides, as well as its role in several antibiotic mechanisms, we targeted this amino acid for positron emission tomography (PET) radiotracer development. d-[3-11C]Alanine and the dipeptide d-[3-11C]alanyl-d-alanine were synthesized via asymmetric alkylation of glycine-derived Schiff-base precursors with [11C]methyl iodide in the presence of a cinchonidinium phase-transfer catalyst. In cell experiments, both tracers showed accumulation by a wide variety of both Gram-positive and Gram-negative pathogens including Staphylococcus aureus and Pseudomonas aeruginosa. In a mouse model of acute bacterial myositis, d-[3-11C]alanine was accumulated by living microorganisms but was not taken up in areas of sterile inflammation. When compared to existing clinical nuclear imaging tools, specifically 2-deoxy-2-[18F]fluoro-d-glucose and a gallium citrate radiotracer, d-alanine showed more bacteria-specific uptake. Decreased d-[3-11C]alanine uptake was also observed in antibiotic-sensitive microbes after antimicrobial therapy, when compared to that in resistant organisms. Finally, prominent uptake of d-[3-11C]alanine uptake was seen in rodent models of discitis-osteomyelitis and P. aeruginosa pneumonia. These data provide strong justification for clinical translation of d-[3-11C]alanine to address a number of important human infections.
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Affiliation(s)
- Matthew
F. L. Parker
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Justin M. Luu
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Brailee Schulte
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Tony L. Huynh
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Megan N. Stewart
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Renuka Sriram
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Michelle A. Yu
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Salma Jivan
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Peter J. Turnbaugh
- Department
of Microbiology and Immunology, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Robert R. Flavell
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Oren S. Rosenberg
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Michael A. Ohliger
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
- Department
of Radiology, Zuckerberg San Francisco General
Hospital, San Francisco, California 94110, United States
| | - David M. Wilson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
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27
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Poweleit N, Czudnochowski N, Nakagawa R, Trinidad DD, Murphy KC, Sassetti CM, Rosenberg OS. The structure of the endogenous ESX-3 secretion system. eLife 2019; 8:52983. [PMID: 31886769 PMCID: PMC6986878 DOI: 10.7554/elife.52983] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 12/30/2019] [Indexed: 12/15/2022] Open
Abstract
The ESX (or Type VII) secretion systems are protein export systems in mycobacteria and many Gram-positive bacteria that mediate a broad range of functions including virulence, conjugation, and metabolic regulation. These systems translocate folded dimers of WXG100-superfamily protein substrates across the cytoplasmic membrane. We report the cryo-electron microscopy structure of an ESX-3 system, purified using an epitope tag inserted with recombineering into the chromosome of the model organism Mycobacterium smegmatis. The structure reveals a stacked architecture that extends above and below the inner membrane of the bacterium. The ESX-3 protomer complex is assembled from a single copy of the EccB3, EccC3, and EccE3 and two copies of the EccD3 protein. In the structure, the protomers form a stable dimer that is consistent with assembly into a larger oligomer. The ESX-3 structure provides a framework for further study of these important bacterial transporters.
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Affiliation(s)
- Nicole Poweleit
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, United States.,Chan-Zuckerberg Biohub, University of California, San Francisco, San Francisco, United States
| | - Nadine Czudnochowski
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, United States.,Chan-Zuckerberg Biohub, University of California, San Francisco, San Francisco, United States
| | - Rachel Nakagawa
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, United States
| | - Donovan D Trinidad
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, United States.,Chan-Zuckerberg Biohub, University of California, San Francisco, San Francisco, United States
| | - Kenan C Murphy
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, United States
| | - Christopher M Sassetti
- Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, United States
| | - Oren S Rosenberg
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, United States.,Chan-Zuckerberg Biohub, University of California, San Francisco, San Francisco, United States
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28
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Kundert K, Lucas JE, Watters KE, Fellmann C, Ng AH, Heineike BM, Fitzsimmons CM, Oakes BL, Qu J, Prasad N, Rosenberg OS, Savage DF, El-Samad H, Doudna JA, Kortemme T. Controlling CRISPR-Cas9 with ligand-activated and ligand-deactivated sgRNAs. Nat Commun 2019; 10:2127. [PMID: 31073154 PMCID: PMC6509140 DOI: 10.1038/s41467-019-09985-2] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 04/10/2019] [Indexed: 12/26/2022] Open
Abstract
The CRISPR-Cas9 system provides the ability to edit, repress, activate, or mark any gene (or DNA element) by pairing of a programmable single guide RNA (sgRNA) with a complementary sequence on the DNA target. Here we present a new method for small-molecule control of CRISPR-Cas9 function through insertion of RNA aptamers into the sgRNA. We show that CRISPR-Cas9-based gene repression (CRISPRi) can be either activated or deactivated in a dose-dependent fashion over a >10-fold dynamic range in response to two different small-molecule ligands. Since our system acts directly on each target-specific sgRNA, it enables new applications that require differential and opposing temporal control of multiple genes.
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Affiliation(s)
- Kale Kundert
- Graduate Group in Biophysics, University of California San Francisco, San Francisco, CA, 94158, USA.
| | - James E Lucas
- UC Berkeley - UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Kyle E Watters
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94704, USA
| | - Christof Fellmann
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94704, USA
| | - Andrew H Ng
- UC Berkeley - UCSF Graduate Program in Bioengineering, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Benjamin M Heineike
- Bioinformatics Graduate Program, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Christina M Fitzsimmons
- Chemistry and Chemical Biology Graduate Program, University of California San Francisco, San Francisco, CA, 94158, USA
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Benjamin L Oakes
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94704, USA
| | - Jiuxin Qu
- Department of Medicine, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Neha Prasad
- Department of Medicine, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Oren S Rosenberg
- Department of Medicine, University of California San Francisco, San Francisco, CA, 94158, USA
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - David F Savage
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94704, USA
| | - Hana El-Samad
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Jennifer A Doudna
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA, 94704, USA
- Howard Hughes Medical Institute, University of California Berkeley, Berkeley, CA, 94704, USA
| | - Tanja Kortemme
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, 94158, USA.
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29
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Peters JM, Koo BM, Patino R, Heussler GE, Hearne CC, Qu J, Inclan YF, Hawkins JS, Lu CHS, Silvis MR, Harden MM, Osadnik H, Peters JE, Engel JN, Dutton RJ, Grossman AD, Gross CA, Rosenberg OS. Enabling genetic analysis of diverse bacteria with Mobile-CRISPRi. Nat Microbiol 2019; 4:244-250. [PMID: 30617347 PMCID: PMC6424567 DOI: 10.1038/s41564-018-0327-z] [Citation(s) in RCA: 116] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 11/21/2018] [Indexed: 01/31/2023]
Abstract
The vast majority of bacteria, including human pathogens and microbiome species, lack genetic tools needed to systematically associate genes with phenotypes. This is the major impediment to understanding the fundamental contributions of genes and gene networks to bacterial physiology and human health. Clustered regularly interspaced short palindromic repeats interference (CRISPRi), a versatile method of blocking gene expression using a catalytically inactive Cas9 protein (dCas9) and programmable single guide RNAs, has emerged as a powerful genetic tool to dissect the functions of essential and non-essential genes in species ranging from bacteria to humans1-6. However, the difficulty of establishing effective CRISPRi systems across bacteria is a major barrier to its widespread use to dissect bacterial gene function. Here, we establish 'Mobile-CRISPRi', a suite of CRISPRi systems that combines modularity, stable genomic integration and ease of transfer to diverse bacteria by conjugation. Focusing predominantly on human pathogens associated with antibiotic resistance, we demonstrate the efficacy of Mobile-CRISPRi in gammaproteobacteria and Bacillales Firmicutes at the individual gene scale, by examining drug-gene synergies, and at the library scale, by systematically phenotyping conditionally essential genes involved in amino acid biosynthesis. Mobile-CRISPRi enables genetic dissection of non-model bacteria, facilitating analyses of microbiome function, antibiotic resistances and sensitivities, and comprehensive screens for host-microorganism interactions.
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Affiliation(s)
- Jason M Peters
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.
- Pharmaceutical Sciences Division, and Departments of Bacteriology, and of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA.
| | - Byoung-Mo Koo
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Ramiro Patino
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Gary E Heussler
- Division of Biological Sciences, University of California, San Diego, San Diego, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, San Diego, CA, USA
| | - Cameron C Hearne
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Jiuxin Qu
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Clinical Laboratory, The Third People's Hospital of Shenzhen, Shenzhen, China
| | - Yuki F Inclan
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - John S Hawkins
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Candy H S Lu
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Melanie R Silvis
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - M Michael Harden
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hendrik Osadnik
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph E Peters
- Department of Microbiology, Cornell University, Ithaca, NY, USA
| | - Joanne N Engel
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Rachel J Dutton
- Division of Biological Sciences, University of California, San Diego, San Diego, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, San Diego, CA, USA
| | - Alan D Grossman
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Carol A Gross
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA.
- California Institute of Quantitative Biology, University of California, San Francisco, San Francisco, CA, USA.
| | - Oren S Rosenberg
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
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30
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Elwell CA, Czudnochowski N, von Dollen J, Johnson JR, Nakagawa R, Mirrashidi K, Krogan NJ, Engel JN, Rosenberg OS. Chlamydia interfere with an interaction between the mannose-6-phosphate receptor and sorting nexins to counteract host restriction. eLife 2017; 6. [PMID: 28252385 PMCID: PMC5364026 DOI: 10.7554/elife.22709] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 02/26/2017] [Indexed: 02/02/2023] Open
Abstract
Chlamydia trachomatis is an obligate intracellular pathogen that resides in a membrane-bound compartment, the inclusion. The bacteria secrete a unique class of proteins, Incs, which insert into the inclusion membrane and modulate the host-bacterium interface. We previously reported that IncE binds specifically to the Sorting Nexin 5 Phox domain (SNX5-PX) and disrupts retromer trafficking. Here, we present the crystal structure of the SNX5-PX:IncE complex, showing IncE bound to a unique and highly conserved hydrophobic groove on SNX5. Mutagenesis of the SNX5-PX:IncE binding surface disrupts a previously unsuspected interaction between SNX5 and the cation-independent mannose-6-phosphate receptor (CI-MPR). Addition of IncE peptide inhibits the interaction of CI-MPR with SNX5. Finally, C. trachomatis infection interferes with the SNX5:CI-MPR interaction, suggesting that IncE and CI-MPR are dependent on the same binding surface on SNX5. Our results provide new insights into retromer assembly and underscore the power of using pathogens to discover disease-related cell biology.
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Affiliation(s)
- Cherilyn A Elwell
- Department of Medicine, University of California, San Francisco, San Francisco, United States
| | - Nadine Czudnochowski
- Department of Medicine, University of California, San Francisco, San Francisco, United States
| | - John von Dollen
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Jeffrey R Johnson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Rachel Nakagawa
- Department of Medicine, University of California, San Francisco, San Francisco, United States
| | - Kathleen Mirrashidi
- Department of Medicine, University of California, San Francisco, San Francisco, United States
| | - Nevan J Krogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States.,QB3, California Institute for Quantitative Biosciences, San Francisco, United States.,Gladstone Institutes, San Francisco, United States
| | - Joanne N Engel
- Department of Medicine, University of California, San Francisco, San Francisco, United States.,Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States
| | - Oren S Rosenberg
- Department of Medicine, University of California, San Francisco, San Francisco, United States
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31
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Rosenberg OS, Dovala D, Li X, Connolly L, Bendebury A, Finer-Moore J, Holton J, Cheng Y, Stroud RM, Cox JS. Substrates Control Multimerization and Activation of the Multi-Domain ATPase Motor of Type VII Secretion. Cell 2015; 161:501-512. [PMID: 25865481 DOI: 10.1016/j.cell.2015.03.040] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Revised: 11/10/2014] [Accepted: 02/11/2015] [Indexed: 01/13/2023]
Abstract
Mycobacterium tuberculosis and Staphylococcus aureus secrete virulence factors via type VII protein secretion (T7S), a system that intriguingly requires all of its secretion substrates for activity. To gain insights into T7S function, we used structural approaches to guide studies of the putative translocase EccC, a unique enzyme with three ATPase domains, and its secretion substrate EsxB. The crystal structure of EccC revealed that the ATPase domains are joined by linker/pocket interactions that modulate its enzymatic activity. EsxB binds via its signal sequence to an empty pocket on the C-terminal ATPase domain, which is accompanied by an increase in ATPase activity. Surprisingly, substrate binding does not activate EccC allosterically but, rather, by stimulating its multimerization. Thus, the EsxB substrate is also an integral T7S component, illuminating a mechanism that helps to explain interdependence of substrates, and suggests a model in which binding of substrates modulates their coordinate release from the bacterium.
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Affiliation(s)
- Oren S Rosenberg
- Division of Infectious Diseases, Department of Medicine, UCSF Medical Center, University of California, San Francisco, San Francisco, CA 94143-0654, USA
| | - Dustin Dovala
- Department of Microbiology and Immunology, Program in Microbial Pathogenesis and Host Defense, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Xueming Li
- School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Lynn Connolly
- Division of Infectious Diseases, Department of Medicine, UCSF Medical Center, University of California, San Francisco, San Francisco, CA 94143-0654, USA; Achaogen, Inc., South San Francisco, CA 94080, USA
| | - Anastasia Bendebury
- Department of Microbiology and Immunology, Program in Microbial Pathogenesis and Host Defense, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Janet Finer-Moore
- Department of Biophysics and Biochemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - James Holton
- Department of Biophysics and Biochemistry, University of California, San Francisco, San Francisco, CA 94158, USA; Lawrence Berkeley National Laboratory, MS6-2100, Berkeley, CA 94720, USA
| | - Yifan Cheng
- Department of Biophysics and Biochemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Robert M Stroud
- Department of Biophysics and Biochemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jeffery S Cox
- Department of Microbiology and Immunology, Program in Microbial Pathogenesis and Host Defense, University of California, San Francisco, San Francisco, CA 94158, USA.
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32
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Hadjivassiliou H, Rosenberg OS, Guthrie C. The crystal structure of S. cerevisiae Sad1, a catalytically inactive deubiquitinase that is broadly required for pre-mRNA splicing. RNA 2014; 20:656-69. [PMID: 24681967 PMCID: PMC3988567 DOI: 10.1261/rna.042838.113] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Accepted: 02/03/2014] [Indexed: 05/27/2023]
Abstract
Sad1 is an essential splicing factor initially identified in a genetic screen in Saccharomyces cerevisiae for snRNP assembly defects. Based on sequence homology, Sad1, or USP39 in humans, is predicted to comprise two domains: a zinc finger ubiquitin binding domain (ZnF-UBP) and an inactive ubiquitin-specific protease (iUSP) domain, both of which are well conserved. The role of these domains in splicing and their interaction with ubiquitin are unknown. We first used splicing microarrays to analyze Sad1 function in vivo and found that Sad1 is critical for the splicing of nearly all yeast intron-containing genes. By using in vitro assays, we then showed that it is required for the assembly of the active spliceosome. To gain structural insights into Sad1 function, we determined the crystal structure of the full-length protein at 1.8 Å resolution. In the structure, the iUSP domain forms the characteristic ubiquitin binding pocket, though with an amino acid substitution in the active site that results in complete inactivation of the enzymatic activity of the domain. The ZnF-UBP domain of Sad1 shares high structural similarly to other ZnF-UBPs; however, Sad1's ZnF-UBP does not possess the canonical ubiquitin binding motif. Given the precedents for ZnF-UBP domains to function as activators for their neighboring USP domains, we propose that Sad1's ZnF-UBP acts in a ubiquitin-independent capacity to recruit and/or activate Sad1's iUSP domain to interact with the spliceosome.
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Affiliation(s)
- Haralambos Hadjivassiliou
- Department of Biochemistry and Biophysics, University of California, San Francisco, California 94158, USA
| | - Oren S. Rosenberg
- Division of Infectious Diseases, Department of Medicine, University of California, San Francisco, California 94143-0414, USA
| | - Christine Guthrie
- Department of Biochemistry and Biophysics, University of California, San Francisco, California 94158, USA
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33
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Dovala D, Rosenberg OS, Cox JS. Molecular Determinants of Substrate Specificity in Type VII Secretion Systems. Biophys J 2014. [DOI: 10.1016/j.bpj.2013.11.2682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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34
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Scharschmidt TC, Amerson EH, Rosenberg OS, Jacobs RA, McCalmont TH, Shinkai K. Immune reconstitution reactions in human immunodeficiency virus-negative patients: report of a case and review of the literature. JAMA Dermatol 2013; 149:74-8. [PMID: 23324760 DOI: 10.1001/2013.jamadermatol.503] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Immune reconstitution inflammatory syndrome (IRIS) is a phenomenon initially described in patients with human immunodeficiency virus. Upon initiation of combination antiretroviral therapy, recovery of cellular immunity triggers inflammation to a preexisting infection or antigen that causes paradoxical worsening of clinical disease. A similar phenomenon can occur in human immunodeficiency virus-negative patients, including pregnant women, neutropenic hosts, solid-organ or stem cell transplant recipients, and patients receiving tumor necrosis factor inhibitors. OBSERVATIONS We report a case of leprosy unmasking and downgrading reaction after stem cell transplantation that highlights some of the challenges inherent to the diagnosis of IRIS, especially in patients without human immunodeficiency virus infection, as well as review the spectrum of previously reported cases of IRIS reactions in this population. CONCLUSIONS The mechanism of immune reconstitution reactions is complex and variable, depending on the underlying antigen and the mechanism of immunosuppression or shift in immune status. Use of the term IRIS can aid our recognition of an important phenomenon that occurs in the setting of immunosuppression or shifts in immunity but should not deter us from thinking critically about the distinct processes that underlie this heterogeneous group of conditions.
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35
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Chao LH, Stratton MM, Lee IH, Rosenberg OS, Levitz J, Mandell DJ, Kortemme T, Groves JT, Schulman H, Kuriyan J. A mechanism for tunable autoinhibition in the structure of a human Ca2+/calmodulin- dependent kinase II holoenzyme. Cell 2011; 146:732-45. [PMID: 21884935 DOI: 10.1016/j.cell.2011.07.038] [Citation(s) in RCA: 179] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2011] [Revised: 05/11/2011] [Accepted: 07/29/2011] [Indexed: 01/16/2023]
Abstract
Calcium/calmodulin-dependent kinase II (CaMKII) forms a highly conserved dodecameric assembly that is sensitive to the frequency of calcium pulse trains. Neither the structure of the dodecameric assembly nor how it regulates CaMKII are known. We present the crystal structure of an autoinhibited full-length human CaMKII holoenzyme, revealing an unexpected compact arrangement of kinase domains docked against a central hub, with the calmodulin-binding sites completely inaccessible. We show that this compact docking is important for the autoinhibition of the kinase domains and for setting the calcium response of the holoenzyme. Comparison of CaMKII isoforms, which differ in the length of the linker between the kinase domain and the hub, demonstrates that these interactions can be strengthened or weakened by changes in linker length. This equilibrium between autoinhibited states provides a simple mechanism for tuning the calcium response without changes in either the hub or the kinase domains.
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Affiliation(s)
- Luke H Chao
- Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA
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36
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Rosenberg OS, Deindl S, Comolli LR, Hoelz A, Downing KH, Nairn AC, Kuriyan J. Oligomerization states of the association domain and the holoenyzme of Ca2+/CaM kinase II. FEBS J 2006; 273:682-94. [PMID: 16441656 DOI: 10.1111/j.1742-4658.2005.05088.x] [Citation(s) in RCA: 80] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Ca2+/calmodulin activated protein kinase II (CaMKII) is an oligomeric protein kinase with a unique holoenyzme architecture. The subunits of CaMKII are bound together into the holoenzyme by the association domain, a C-terminal region of approximately 140 residues in the CaMKII polypeptide. Single particle analyses of electron micrographs have suggested previously that the holoenyzme forms a dodecamer that contains two stacked 6-fold symmetric rings. In contrast, a recent crystal structure of the isolated association domain of mouse CaMKIIalpha has revealed a tetradecameric assembly with two stacked 7-fold symmetric rings. In this study, we have determined the crystal structure of the Caenorhabditis elegans CaMKII association domain and it too forms a tetradecamer. We also show by electron microscopy that in its fully assembled form the CaMKII holoenzyme is a dodecamer but without the kinase domains, either from expression of the isolated association domain in bacteria or following their removal by proteolysis, the association domains form a tetradecamer. We speculate that the holoenzyme is held in its 6-fold symmetric state by the interactions of the N-terminal approximately 1-335 residues and that the removal of this region allows the association domain to convert into a more stable 7-fold symmetric form.
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Affiliation(s)
- Oren S Rosenberg
- Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720-3202, USA
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37
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Rosenberg OS, Deindl S, Sung RJ, Nairn AC, Kuriyan J. Structure of the Autoinhibited Kinase Domain of CaMKII and SAXS Analysis of the Holoenzyme. Cell 2005; 123:849-60. [PMID: 16325579 DOI: 10.1016/j.cell.2005.10.029] [Citation(s) in RCA: 243] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2005] [Revised: 10/02/2005] [Accepted: 10/19/2005] [Indexed: 11/25/2022]
Abstract
Ca2+/calmodulin-dependent protein kinase-II (CaMKII) is unique among protein kinases for its dodecameric assembly and its complex response to Ca2+. The crystal structure of the autoinhibited kinase domain of CaMKII, determined at 1.8 A resolution, reveals an unexpected dimeric organization in which the calmodulin-responsive regulatory segments form a coiled-coil strut that blocks peptide and ATP binding to the otherwise intrinsically active kinase domains. A threonine residue in the regulatory segment, which when phosphorylated renders CaMKII calmodulin independent, is held apart from the catalytic sites by the organization of the dimer. This ensures a strict Ca2+ dependence for initial activation. The structure of the kinase dimer, when combined with small-angle X-ray scattering data for the holoenzyme, suggests that inactive CaMKII forms tightly packed autoinhibited assemblies that convert upon activation into clusters of loosely tethered and independent kinase domains.
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Affiliation(s)
- Oren S Rosenberg
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
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38
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Terlouw DJ, Nahlen BL, Courval JM, Kariuki SK, Rosenberg OS, Oloo AJ, Kolczak MS, Hawley WA, Lal AA, Kuile FOT. Sulfadoxine-pyrimethamine in treatment of malaria in Western Kenya: increasing resistance and underdosing. Antimicrob Agents Chemother 2003; 47:2929-32. [PMID: 12936996 PMCID: PMC182608 DOI: 10.1128/aac.47.9.2929-2932.2003] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Between 1993 and 1999, we monitored the efficacy of sulfadoxine-pyrimethamine in 1175 children aged <24 months receiving 2789 treatments for falciparum malaria in western Kenya using a widely deployed age-based dose regimen: infants, 125 plus 6.25 mg (sulfadoxine plus pyrimethamine); children aged 12 to 23 months; 250 plus 12.5 mg. Cumulative treatment failure by day 7, defined as early clinical failure by day 3 or presence of parasitemia on day 7, increased from 18% in 1993 to 1994 to 22% in 1997 to 1998 (P-trend test = 0.20). Based on body weight, the median dose received was 20 plus 1.00 mg/kg, and 73% of the treatments were given at lower than the recommended target dose of 25 plus 1.25 mg/kg. Underdosing accounted for 26% of cumulative treatment failures. After the dose was increased in 1998 (median, 36 plus 1.8 mg/kg), only 4.2% of patients received less than 25 plus 1.25 mg/kg and there was no association with treatment failure. However, the proportion of cumulative treatment failure continued to increase to 27% by 1999 (P-trend test = 0.03). These results raise concern about the longevity of sulfadoxine-pyrimethamine in these settings. Underdosing may have contributed to the rate at which sulfadoxine-pyrimethamine resistance developed in this area. Treatment guidelines should ensure that adequate doses are given from the initial deployment of antimalarials onward.
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Affiliation(s)
- Dianne J Terlouw
- Division of Parasitic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
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Terlouw DJ, Courval JM, Kolczak MS, Rosenberg OS, Oloo AJ, Kager PA, Lal AA, Nahlen BL, ter Kuile FO. Treatment history and treatment dose are important determinants of sulfadoxine-pyrimethamine efficacy in children with uncomplicated malaria in Western Kenya. J Infect Dis 2003; 187:467-76. [PMID: 12552431 DOI: 10.1086/367705] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2002] [Revised: 10/01/2002] [Indexed: 11/03/2022] Open
Abstract
This study retrospectively studied amendable determinants of sulfadoxine-pyrimethamine (SP) efficacy involving 2869 treatments among 1072 Kenyan children <5 years old who had uncomplicated malaria. The dose was based on age: one-quarter tablet was given to infants <1 year old, one-half tablet was given to 1-3-year-old children, and a full tablet was given to 4-year-old children. Only 23.5% received the internationally recommended target dose of 25/1.25 mg of SP per kg of body weight. SP intake in the previous 15-35 days (adjusted relative risk, 1.67; 95% confidence interval, 1.35-2.07) and low SP dose (<27.5/1.375 mg/kg) (adjusted relative risk, 1.58; 95% confidence interval, 1.17-2.13) explained 38% of parasitological treatment failures by day 7. Patients with recent SP intake are likely to have recrudescent infections and may need close follow-up if treated with SP or alternative treatment. Applying our weight-for-age data to 31 existing age-based SP dose recommendations predicted that 22 of them would result in underdosing of >25% of children <5 years. Many age-based dose recommendations need urgent revision, because SP is increasingly used as first-line treatment in sub-Saharan Africa.
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Affiliation(s)
- Dianne J Terlouw
- Division of Parasitic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, USA
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