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Karaba AH, Morgenlander WR, Johnston TS, Hage C, Pekosz A, Durand CM, Segev DL, Robien MA, Heeger PS, Larsen CP, Blankson JN, Werbel WA, Larman HB, Tobian AAR. Epitope Mapping of SARS-CoV-2 Spike Antibodies in Vaccinated Kidney Transplant Recipients Reveals Poor Spike Coverage Compared to Healthy Controls. J Infect Dis 2024; 229:1366-1371. [PMID: 38019656 PMCID: PMC11095532 DOI: 10.1093/infdis/jiad534] [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] [Received: 08/24/2023] [Revised: 11/17/2023] [Accepted: 11/27/2023] [Indexed: 12/01/2023] Open
Abstract
Kidney transplant recipients (KTRs) develop decreased antibody titers to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination compared to healthy controls (HCs), but whether KTRs generate antibodies against key epitopes associated with neutralization is unknown. Plasma from 78 KTRs from a clinical trial of third doses of SARS-CoV-2 vaccines and 12 HCs underwent phage display immunoprecipitation and sequencing (PhIP-Seq) to map antibody responses against SARS-CoV-2. KTRs had lower antibody reactivity to SARS-CoV-2 than HCs, but KTRs and HCs recognized similar epitopes associated with neutralization. Thus, epitope gaps in antibody breadth of KTRs are unlikely responsible for decreased efficacy of SARS-CoV-2 vaccines in this immunosuppressed population. Clinical Trials Registration. NCT04969263.
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Affiliation(s)
- Andrew H Karaba
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - William R Morgenlander
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Trevor S Johnston
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Camille Hage
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andrew Pekosz
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Christine M Durand
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dorry L Segev
- Department of Surgery, NewYork University Grossman School of Medicine, New York, New York, USA
| | - Mark A Robien
- Transplantation Branch, Division of Allergy Immunology and Transplantation, National Institute of Allergy and Infectious Diseases, Rockville, Maryland, USA
| | - Peter S Heeger
- Department of Medicine, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles California, USA
| | | | - Joel N Blankson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - William A Werbel
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Aaron A R Tobian
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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2
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Liebhoff AM, Venkataraman T, Morgenlander WR, Na M, Kula T, Waugh K, Morrison C, Rewers M, Longman R, Round J, Elledge S, Ruczinski I, Langmead B, Larman HB. Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn. Nat Commun 2024; 15:1577. [PMID: 38383452 PMCID: PMC10881494 DOI: 10.1038/s41467-024-45601-8] [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] [Received: 07/14/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
We investigate a relatively underexplored component of the gut-immune axis by profiling the antibody response to gut phages using Phage Immunoprecipitation Sequencing (PhIP-Seq). To cover large antigenic spaces, we develop Dolphyn, a method that uses machine learning to select peptides from protein sets and compresses the proteome through epitope-stitching. Dolphyn compresses the size of a peptide library by 78% compared to traditional tiling, increasing the antibody-reactive peptides from 10% to 31%. We find that the immune system develops antibodies to human gut bacteria-infecting viruses, particularly E.coli-infecting Myoviridae. Cost-effective PhIP-Seq libraries designed with Dolphyn enable the assessment of a wider range of proteins in a single experiment, thus facilitating the study of the gut-immune axis.
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Affiliation(s)
- Anna-Maria Liebhoff
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- Institute of Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Thiagarajan Venkataraman
- Institute of Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - William R Morgenlander
- Institute of Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Miso Na
- Institute of Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Tomasz Kula
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, USA
| | - Kathleen Waugh
- Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, CO, USA
| | - Charles Morrison
- Behavioral, Clinical and Epidemiologic Sciences, FHI 360, Durham, NC, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, CO, USA
| | - Randy Longman
- Jill Roberts Institute for Research in IBD, Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - June Round
- Department of Pathology, Division of Microbiology and Immunology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Stephen Elledge
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Ben Langmead
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - H Benjamin Larman
- Institute of Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
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3
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Liechti T, Van Gassen S, Beddall M, Ballard R, Iftikhar Y, Du R, Venkataraman T, Novak D, Mangino M, Perfetto S, Larman HB, Spector T, Saeys Y, Roederer M. A robust pipeline for high-content, high-throughput immunophenotyping reveals age- and genetics-dependent changes in blood leukocytes. Cell Rep Methods 2023; 3:100619. [PMID: 37883924 PMCID: PMC10626267 DOI: 10.1016/j.crmeth.2023.100619] [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] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 05/29/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023]
Abstract
High-dimensional flow cytometry is the gold standard to study the human immune system in large cohorts. However, large sample sizes increase inter-experimental variation because of technical and experimental inaccuracies introduced by batch variability. Our high-throughput sample processing pipeline in combination with 28-color flow cytometry focuses on increased throughput (192 samples/experiment) and high reproducibility. We implemented quality control checkpoints to reduce technical and experimental variation. Finally, we integrated FlowSOM clustering to facilitate automated data analysis and demonstrate the reproducibility of our pipeline in a study with 3,357 samples. We reveal age-associated immune dynamics in 2,300 individuals, signified by decreasing T and B cell subsets with age. In addition, by combining genetic analyses, our approach revealed unique immune signatures associated with a single nucleotide polymorphism (SNP) that abrogates CD45 isoform splicing. In summary, we provide a versatile and reliable high-throughput, flow cytometry-based pipeline for immune discovery and exploration in large cohorts.
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Affiliation(s)
- Thomas Liechti
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA.
| | - Sofie Van Gassen
- Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Margaret Beddall
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Reid Ballard
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Yaser Iftikhar
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Renguang Du
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Thiagarajan Venkataraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - David Novak
- Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK; National Heart and Lung Institute, Cardiovascular Science Division, Imperial College London, London, UK
| | - Stephen Perfetto
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Tim Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Yvan Saeys
- Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Mario Roederer
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA.
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4
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Jayaraman S, Montagne JM, Nirschl TR, Marcisak E, Johnson J, Huff A, Hsiao MH, Nauroth J, Heumann T, Zarif JC, Jaffee EM, Azad N, Fertig EJ, Zaidi N, Larman HB. Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses. Cell Rep Methods 2023; 3:100600. [PMID: 37776855 PMCID: PMC10626196 DOI: 10.1016/j.crmeth.2023.100600] [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] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/23/2023] [Accepted: 09/07/2023] [Indexed: 10/02/2023]
Abstract
Assays linking cellular phenotypes with T cell or B cell antigen receptor sequences are crucial for characterizing adaptive immune responses. Existing methodologies are limited by low sample throughput and high cost. Here, we present INtraCEllular Reverse Transcription with Sorting and sequencing (INCERTS), an approach that combines molecular indexing of receptor repertoires within intact cells and fluorescence-activated cell sorting (FACS). We demonstrate that INCERTS enables efficient processing of millions of cells from pooled human peripheral blood mononuclear cell (PBMC) samples while retaining robust association between T cell receptor (TCR) sequences and cellular phenotypes. We used INCERTS to discover antigen-specific TCRs from patients with cancer immunized with a novel mutant KRAS peptide vaccine. After ex vivo stimulation, 28 uniquely barcoded samples were pooled prior to FACS into peptide-reactive and non-reactive CD4+ and CD8+ populations. Combining complementary patient-matched single-cell RNA sequencing (scRNA-seq) data enabled retrieval of full-length, paired TCR alpha and beta chain sequences for future validation of therapeutic utility.
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Affiliation(s)
- Sahana Jayaraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Janelle M Montagne
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Thomas R Nirschl
- Pathobiology Graduate Program, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg∼Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21205, USA
| | - Emily Marcisak
- Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeanette Johnson
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Immunology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Amanda Huff
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Meng-Hsuan Hsiao
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Julie Nauroth
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Thatcher Heumann
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Division of Hematology Oncology, Vanderbilt-Ingram Comprehensive Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jelani C Zarif
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg∼Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21205, USA
| | - Elizabeth M Jaffee
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nilo Azad
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Elana J Fertig
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Neeha Zaidi
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Convergence Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Bloomberg Kimmel Immunology Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
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5
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Ruhs EC, Chia WN, Foo R, Peel AJ, Li Y, Larman HB, Irving AT, Wang L, Brook CE. Applications of VirScan to broad serological profiling of bat reservoirs for emerging zoonoses. Front Public Health 2023; 11:1212018. [PMID: 37808979 PMCID: PMC10559906 DOI: 10.3389/fpubh.2023.1212018] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/04/2023] [Indexed: 10/10/2023] Open
Abstract
Introduction Bats are important providers of ecosystem services such as pollination, seed dispersal, and insect control but also act as natural reservoirs for virulent zoonotic viruses. Bats host multiple viruses that cause life-threatening pathology in other animals and humans but, themselves, experience limited pathological disease from infection. Despite bats' importance as reservoirs for several zoonotic viruses, we know little about the broader viral diversity that they host. Bat virus surveillance efforts are challenged by difficulties of field capture and the limited scope of targeted PCR- or ELISA-based molecular and serological detection. Additionally, virus shedding is often transient, thus also limiting insights gained from nucleic acid testing of field specimens. Phage ImmunoPrecipitation Sequencing (PhIP-Seq), a broad serological tool used previously to comprehensively profile viral exposure history in humans, offers an exciting prospect for viral surveillance efforts in wildlife, including bats. Methods Here, for the first time, we apply PhIP-Seq technology to bat serum, using a viral peptide library originally designed to simultaneously assay exposures to the entire human virome. Results Using VirScan, we identified past exposures to 57 viral genera-including betacoronaviruses, henipaviruses, lyssaviruses, and filoviruses-in semi-captive Pteropus alecto and to nine viral genera in captive Eonycteris spelaea. Consistent with results from humans, we find that both total peptide hits (the number of enriched viral peptides in our library) and the corresponding number of inferred past virus exposures in bat hosts were correlated with poor bat body condition scores and increased with age. High and low body condition scores were associated with either seropositive or seronegative status for different viruses, though in general, virus-specific age-seroprevalence curves defied assumptions of lifelong immunizing infection, suggesting that many bat viruses may circulate via complex transmission dynamics. Discussion Overall, our work emphasizes the utility of applying biomedical tools, like PhIP-Seq, first developed for humans to viral surveillance efforts in wildlife, while highlighting opportunities for taxon-specific improvements.
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Affiliation(s)
- Emily Cornelius Ruhs
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
- Grainger Bioinformatics Center, Field Museum of Natural History, Chicago, IL, United States
| | - Wan Ni Chia
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
- CoV Biotechnology Pte Ltd., Singapore, Singapore
| | - Randy Foo
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Alison J. Peel
- Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Brisband, QLD, Australia
| | - Yimei Li
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
- Quantitative and Computational Biology, Princeton University, Princeton, NJ, United States
| | - H. Benjamin Larman
- HBL – Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, United States
| | - Aaron T. Irving
- Second Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Zhejiang University-University of Edinburgh Institute, Haining, Zhejiang, China
- BIMET - Biomedical and Translational Research Centre of Zhejiang Province, Zhejiang Province, China
| | - Linfa Wang
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Global Health Institute, Singapore, Singapore
| | - Cara E. Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
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6
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Grant-McAuley W, Morgenlander W, Hudelson SE, Thakar M, Piwowar-Manning E, Clarke W, Breaud A, Blankson J, Wilson E, Ayles H, Bock P, Moore A, Kosloff B, Shanaube K, Meehan SA, van Deventer A, Fidler S, Hayes R, Ruczinski I, Kammers K, Laeyendecker O, Larman HB, Eshleman SH. Comprehensive profiling of pre-infection antibodies identifies HIV targets associated with viremic control and viral load. Front Immunol 2023; 14:1178520. [PMID: 37744365 PMCID: PMC10512082 DOI: 10.3389/fimmu.2023.1178520] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 08/15/2023] [Indexed: 09/26/2023] Open
Abstract
Background High HIV viral load (VL) is associated with increased transmission risk and faster disease progression. HIV controllers achieve viral suppression without antiretroviral (ARV) treatment. We evaluated viremic control in a community-randomized trial with >48,000 participants. Methods A massively multiplexed antibody profiling system, VirScan, was used to quantify pre- and post-infection antibody reactivity to HIV peptides in 664 samples from 429 participants (13 controllers, 135 viremic non-controllers, 64 other non-controllers, 217 uninfected persons). Controllers had VLs <2,000 copies/mL with no ARV drugs detected at the first HIV-positive visit and one year later. Viremic non-controllers had VLs 2,000 copies/mL with no ARV drugs detected at the first HIV-positive visit. Other non-controllers had either ARV drugs detected at the first HIV-positive visit (n=47) or VLs <2,000 copies/mL with no ARV drugs detected at only one HIV-positive visit (n=17). Results We identified pre-infection HIV antibody reactivities that correlated with post-infection VL. Pre-infection reactivity to an epitope in the HR2 domain of gp41 was associated with controller status and lower VL. Pre-infection reactivity to an epitope in the C2 domain of gp120 was associated with non-controller status and higher VL. Different patterns of antibody reactivity were observed over time for these two epitopes. Conclusion These studies suggest that pre-infection HIV antibodies are associated with controller status and modulation of HIV VL. These findings may inform research on antibody-based interventions for HIV treatment.
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Affiliation(s)
- Wendy Grant-McAuley
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - William Morgenlander
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Sarah E. Hudelson
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Manjusha Thakar
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Estelle Piwowar-Manning
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - William Clarke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Autumn Breaud
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Joel Blankson
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Ethan Wilson
- Statistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Helen Ayles
- Zambart, University of Zambia School of Public Health, Lusaka, Zambia
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Peter Bock
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa
| | | | - Barry Kosloff
- Zambart, University of Zambia School of Public Health, Lusaka, Zambia
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Kwame Shanaube
- Zambart, University of Zambia School of Public Health, Lusaka, Zambia
| | - Sue-Ann Meehan
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa
| | - Anneen van Deventer
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa
| | - Sarah Fidler
- Department of Infectious Disease, Imperial College London, London, United Kingdom
| | - Richard Hayes
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Kai Kammers
- Quantitative Sciences Division, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Oliver Laeyendecker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, United States
| | - H. Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Susan H. Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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7
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Cohen GS, Kallarakal MA, Jayaraman S, Ibukun FI, Tong KP, Orzolek LD, Larman HB, Krummey SM. Transplantation elicits a clonally diverse CD8 + T cell response that is comprised of potent CD43 + effectors. Cell Rep 2023; 42:112993. [PMID: 37590141 PMCID: PMC10727118 DOI: 10.1016/j.celrep.2023.112993] [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] [Received: 08/31/2022] [Revised: 06/09/2023] [Accepted: 08/02/2023] [Indexed: 08/19/2023] Open
Abstract
CD8+ T cells mediate acute rejection of allografts, which threatens the long-term survival of transplanted organs. Using MHC class I tetramers, we find that allogeneic CD8+ T cells are present at an elevated naive precursor frequency relative to other epitopes, only modestly increase in number after grafting, and maintain high T cell receptor diversity throughout the immune response. While antigen-specific effector CD8+ T cells poorly express the canonical effector marker KLRG-1, expression of the activated glycoform of CD43 defines potent effectors after transplantation. Activated CD43+ effector T cells maintain high expression of the coreceptor induced T cell costimulator (ICOS) in the presence of CTLA-4 immunoglobulin (Ig), and dual CTLA-4 Ig/anti-ICOS treatment prolongs graft survival. These data demonstrate that graft-specific CD8+ T cells have a distinct response profile relative to anti-pathogen CD8+ T cells and that CD43 and ICOS are critical surface receptors that define potent effector CD8+ T cell populations that form after transplantation.
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Affiliation(s)
- Gregory S Cohen
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Melissa A Kallarakal
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Sahana Jayaraman
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Francis I Ibukun
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Katherine P Tong
- Emory Transplant Center, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Linda D Orzolek
- Department of Molecular Biology and Genetics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - H Benjamin Larman
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Scott M Krummey
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA.
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8
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Liebhoff AM, Venkataraman T, Morgenlander WR, Na M, Kula T, Waugh K, Morrison C, Rewers M, Longman R, Round J, Elledge S, Ruczinski I, Langmead B, Larman HB. Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn. bioRxiv 2023:2023.07.30.551179. [PMID: 37577562 PMCID: PMC10418057 DOI: 10.1101/2023.07.30.551179] [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] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
We investigated a relatively underexplored component of the gut-immune axis by profiling the antibody response to gut phages using Phage Immunoprecipitation Sequencing (PhIP-Seq). To enhance this approach, we developed Dolphyn, a novel method that uses machine learning to select peptides from protein sets and compresses the proteome through epitope-stitching. Dolphyn improves the fraction of gut phage library peptides bound by antibodies from 10% to 31% in healthy individuals, while also reducing the number of synthesized peptides by 78%. In our study on gut phages, we discovered that the immune system develops antibodies to bacteria-infecting viruses in the human gut, particularly E.coli-infecting Myoviridae. Cost-effective PhIP-Seq libraries designed with Dolphyn enable the assessment of a wider range of proteins in a single experiment, thus facilitating the study of the gut-immune axis.
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Affiliation(s)
- Anna-Maria Liebhoff
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | | | - William R Morgenlander
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Miso Na
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Tomasz Kula
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, USA
| | - Kathleen Waugh
- Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, Colorado, USA
| | - Charles Morrison
- Behavioral, Clinical and Epidemiologic Sciences, FHI 360, Durham, NC, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, Colorado, USA
| | - Randy Longman
- Jill Roberts Institute for Research in IBD, Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - June Round
- Department of Pathology, Division of Microbiology and Immunology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Stephen Elledge
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Ben Langmead
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
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9
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Hosono Y, Sie B, Pinal-Fernandez I, Pak K, Mecoli CA, Casal-Dominguez M, Warner BM, Kaplan MJ, Albayda J, Danoff S, Lloyd TE, Paik JJ, Tiniakou E, Aggarwal R, Oddis CV, Moghadam-Kia S, Carmona-Rivera C, Milisenda JC, Grau-Junyent JM, Selva-O'Callaghan A, Christopher-Stine L, Larman HB, Mammen AL. Coexisting autoantibodies against transcription factor Sp4 are associated with decreased cancer risk in patients with dermatomyositis with anti-TIF1γ autoantibodies. Ann Rheum Dis 2023; 82:246-252. [PMID: 36008132 PMCID: PMC9870850 DOI: 10.1136/ard-2022-222441] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [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: 03/07/2022] [Accepted: 08/11/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVES In dermatomyositis (DM), autoantibodies are associated with unique clinical phenotypes. For example, anti-TIF1γ autoantibodies are associated with an increased risk of cancer. The purpose of this study was to discover novel DM autoantibodies. METHODS Phage ImmunoPrecipitation Sequencing using sera from 43 patients with DM suggested that transcription factor Sp4 is a novel autoantigen; this was confirmed by showing that patient sera immunoprecipitated full-length Sp4 protein. Sera from 371 Johns Hopkins patients with myositis (255 with DM, 28 with antisynthetase syndrome, 40 with immune-mediated necrotising myopathy, 29 with inclusion body myositis and 19 with polymyositis), 80 rheumatological disease controls (25 with Sjogren's syndrome, 25 with systemic lupus erythematosus and 30 with rheumatoid arthritis (RA)) and 200 healthy comparators were screened for anti-SP4 autoantibodies by ELISA. A validation cohort of 46 anti-TIF1γ-positive patient sera from the University of Pittsburgh was also screened for anti-Sp4 autoantibodies. RESULTS Anti-Sp4 autoantibodies were present in 27 (10.5%) patients with DM and 1 (3.3%) patient with RA but not in other clinical groups. In patients with DM, 96.3% of anti-Sp4 autoantibodies were detected in those with anti-TIF1γ autoantibodies. Among 26 TIF1γ-positive patients with anti-Sp4 autoantibodies, none (0%) had cancer. In contrast, among 35 TIF1γ-positive patients without anti-Sp4 autoantibodies, 5 (14%, p=0.04) had cancer. In the validation cohort, among 15 TIF1γ-positive patients with anti-Sp4 autoantibodies, 2 (13.3%) had cancer. By comparison, among 31 TIF1γ-positive patients without anti-Sp4 autoantibodies, 21 (67.7%, p<0.001) had cancer. CONCLUSIONS Anti-Sp4 autoantibodies appear to identify a subgroup of anti-TIF1γ-positive DM patients with lower cancer risk.
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Affiliation(s)
- Yuji Hosono
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Brandon Sie
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Iago Pinal-Fernandez
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Katherine Pak
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Christopher A Mecoli
- Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Maria Casal-Dominguez
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Blake M Warner
- National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Mariana J Kaplan
- Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Jemima Albayda
- Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sonye Danoff
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Thomas E Lloyd
- Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Julie J Paik
- Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Eleni Tiniakou
- Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rohit Aggarwal
- Department of Medicine, Division of Rheumatology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Chester V Oddis
- Department of Medicine, Division of Rheumatology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Siamak Moghadam-Kia
- Department of Medicine, Division of Rheumatology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Carmelo Carmona-Rivera
- Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | | | | | | | - Lisa Christopher-Stine
- Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - H Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andrew Lee Mammen
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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10
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Grant-McAuley W, Laeyendecker O, Monaco D, Chen A, Hudelson SE, Klock E, Brookmeyer R, Morrison D, Piwowar-Manning E, Morrison CS, Hayes R, Ayles H, Bock P, Kosloff B, Shanaube K, Mandla N, van Deventer A, Ruczinski I, Kammers K, Larman HB, Eshleman SH. Evaluation of multi-assay algorithms for cross-sectional HIV incidence estimation in settings with universal antiretroviral treatment. BMC Infect Dis 2022; 22:838. [PMID: 36368950 PMCID: PMC9652879 DOI: 10.1186/s12879-022-07850-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 11/07/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Multi-assay algorithms (MAAs) are used to estimate population-level HIV incidence and identify individuals with recent infection. Many MAAs use low viral load (VL) as a biomarker for long-term infection. This could impact incidence estimates in settings with high rates of early HIV treatment initiation. We evaluated the performance of two MAAs that do not include VL. METHODS Samples were collected from 219 seroconverters (infected < 1 year) and 4376 non-seroconverters (infected > 1 year) in the HPTN 071 (PopART) trial; 28.8% of seroconverter samples and 73.2% of non-seroconverter samples had VLs ≤ 400 copies/mL. Samples were tested with the Limiting Antigen Avidity assay (LAg) and JHU BioRad-Avidity assays. Antibody reactivity to two HIV peptides was measured using the MSD U-PLEX assay. Two MAAs were evaluated that do not include VL: a MAA that includes the LAg-Avidity assay and BioRad-Avidity assay (LAg + BR) and a MAA that includes the LAg-Avidity assay and two peptide biomarkers (LAg + PepPair). Performance of these MAAs was compared to a widely used MAA that includes LAg and VL (LAg + VL). RESULTS The incidence estimate for LAg + VL (1.29%, 95% CI: 0.97-1.62) was close to the observed longitudinal incidence (1.34% 95% CI: 1.17-1.53). The incidence estimates for the other two MAAs were higher (LAg + BR: 2.56%, 95% CI 2.01-3.11; LAg + PepPair: 2.84%, 95% CI: 1.36-4.32). LAg + BR and LAg + PepPair also misclassified more individuals infected > 2 years as recently infected than LAg + VL (1.2% [42/3483 and 1.5% [51/3483], respectively, vs. 0.2% [6/3483]). LAg + BR classified more seroconverters as recently infected than LAg + VL or LAg + PepPair (80 vs. 58 and 50, respectively) and identified ~ 25% of virally suppressed seroconverters as recently infected. CONCLUSIONS The LAg + VL MAA produced a cross-sectional incidence estimate that was closer to the longitudinal estimate than two MAAs that did not include VL. The LAg + BR MAA classified the greatest number of individual seroconverters as recently infected but had a higher false recent rate.
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Affiliation(s)
- Wendy Grant-McAuley
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oliver Laeyendecker
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Monaco
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Athena Chen
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sarah E Hudelson
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ethan Klock
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ron Brookmeyer
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Douglas Morrison
- Department of Public Health Sciences, UC Davis School of Medicine, Davis, CA, USA
| | | | - Charles S Morrison
- Behavioral, Epidemiologic, and Clinical Sciences, Durham, NC, FHI 360, USA
| | - Richard Hayes
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Helen Ayles
- Zambart, University of Zambia School of Public Health, Lusaka, Zambia
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Peter Bock
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa
| | - Barry Kosloff
- Zambart, University of Zambia School of Public Health, Lusaka, Zambia
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Kwame Shanaube
- Zambart, University of Zambia School of Public Health, Lusaka, Zambia
| | - Nomtha Mandla
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa
| | - Anneen van Deventer
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kai Kammers
- Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - H Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan H Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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11
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Chen A, Kammers K, Larman HB, Scharpf RB, Ruczinski I. Detecting antibody reactivities in Phage ImmunoPrecipitation Sequencing data. BMC Genomics 2022; 23:654. [PMID: 36109689 PMCID: PMC9476399 DOI: 10.1186/s12864-022-08869-y] [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] [Received: 02/02/2022] [Accepted: 08/31/2022] [Indexed: 11/10/2022] Open
Abstract
Phage ImmunoPrecipitation Sequencing (PhIP-Seq) is a recently developed technology to assess antibody reactivity, quantifying antibody binding towards hundreds of thousands of candidate epitopes. The output from PhIP-Seq experiments are read count matrices, similar to RNA-Seq data; however some important differences do exist. In this manuscript we investigated whether the publicly available method edgeR (Robinson et al., Bioinformatics 26(1):139-140, 2010) for normalization and analysis of RNA-Seq data is also suitable for PhIP-Seq data. We find that edgeR is remarkably effective, but improvements can be made and introduce a Bayesian framework specifically tailored for data from PhIP-Seq experiments (Bayesian Enrichment Estimation in R, BEER).
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Affiliation(s)
- Athena Chen
- grid.21107.350000 0001 2171 9311Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Kai Kammers
- grid.21107.350000 0001 2171 9311Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, USA
| | - H Benjamin Larman
- grid.21107.350000 0001 2171 9311Department of Pathology and the Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Robert B. Scharpf
- grid.21107.350000 0001 2171 9311Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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12
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Ursin RL, Dhakal S, Liu H, Jayaraman S, Park HS, Powell HR, Sherer ML, Littlefield KE, Fink AL, Ma Z, Mueller AL, Chen AP, Seddu K, Woldetsadik YA, Gearhart PJ, Larman HB, Maul RW, Pekosz A, Klein SL. Greater Breadth of Vaccine-Induced Immunity in Females than Males Is Mediated by Increased Antibody Diversity in Germinal Center B Cells. mBio 2022; 13:e0183922. [PMID: 35856618 PMCID: PMC9426573 DOI: 10.1128/mbio.01839-22] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [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: 06/30/2022] [Accepted: 07/01/2022] [Indexed: 11/20/2022] Open
Abstract
Inactivated influenza vaccines induce greater antibody responses in females than males among both humans and mice. To test the breadth of protection, we used recombinant mouse-adapted A/California/2009 (maA/Cal/09) H1N1 viruses containing mutations at one (1M), two (2M), or three (3M) antigenic sites, in addition to a virus containing the 1M mutation and a substitution of the Ca2 antigenic site (Sub) with one derived from an H5 hemagglutinin (HA) to challenge mice of both sexes. Following maA/Cal/09 vaccination, females produced greater virus-specific, class-switched total IgG and IgG2c antibodies against the vaccine and all mutant viruses, and antibodies from females recognized a greater number of unique, linear HA epitopes than did antibodies from males. While females had greater neutralizing antibody titers against the vaccine virus, both sexes showed a lower neutralization capacity against mutant viruses. After virus challenge, vaccinated females had lower pulmonary virus titers and reduced morbidity than males for the 1M and 2M viruses, but not the Sub virus. Females generated greater numbers of germinal center (GC) B cells containing superior somatic hypermutation (SHM) frequencies than vaccinated males. Deletion of activation-induced cytidine deaminase (Aicda) eliminated female-biased immunity and protection against the 2M virus. Harnessing methods to improve GC B cell responses and frequencies of SHM, especially in males, should be considered in the development of universal influenza vaccines. IMPORTANCE Adult females develop greater antibody responses to influenza vaccines than males. We hypothesized that female-biased immunity and protection would be dependent on the extent of virus diversity as well as molecular mechanisms in B cells which constrain the breadth of epitope recognition. We developed a panel of mouse-adapted (ma) A/Cal/09 viruses that had mutations in the immunodominant hemagglutinin. Following vaccination against maA/Cal/09, females were better able to neutralize maA/Cal/09 than males, but neutralization of mutant maA/Cal/09 viruses was equally poor in both sexes, despite vaccinated females being better protected against these viruses. Vaccinated females benefited from the greater production of class-switched, somatically hypermutated antibodies generated in germinal center B cells, which increased recognition of more diverse maA/Cal/09 hemagglutinin antigen epitopes. Female-biased protection against influenza infection and disease after vaccination is driven by differential mechanisms in males versus females and should be considered in the design of novel vaccine platforms.
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Affiliation(s)
- Rebecca L. Ursin
- Department of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Santosh Dhakal
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Hsuan Liu
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sahana Jayaraman
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Han-Sol Park
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Harrison R. Powell
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Morgan L. Sherer
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kirsten E. Littlefield
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Ashley L. Fink
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Zexu Ma
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Alice L. Mueller
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Allison P. Chen
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kumba Seddu
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Yishak A. Woldetsadik
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Patricia J. Gearhart
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - H. Benjamin Larman
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Robert W. Maul
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Sabra L. Klein
- Department of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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13
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Chen A, Kammers K, Larman HB, Scharpf RB, Ruczinski I. Detecting and quantifying antibody reactivity in PhIP-Seq data with BEER. Bioinformatics 2022; 38:4647-4649. [PMID: 35959988 PMCID: PMC9525010 DOI: 10.1093/bioinformatics/btac555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/05/2022] [Accepted: 08/09/2022] [Indexed: 12/24/2022] Open
Abstract
SUMMARY Because of their high abundance, easy accessibility in peripheral blood, and relative stability ex vivo, antibodies serve as excellent records of environmental exposures and immune responses. Phage Immuno-Precipitation Sequencing (PhIP-Seq) is the most efficient technique available for assessing antibody binding to hundreds of thousands of peptides at a cohort scale. PhIP-Seq is a high-throughput approach for assessing antibody reactivity to hundreds of thousands of candidate epitopes. Accurate detection of weakly reactive peptides is particularly important for characterizing the development and decline of antibody responses. Here, we present BEER (Bayesian Enrichment Estimation in R), a software package specifically developed for the quantification of peptide reactivity from PhIP-Seq experiments. BEER implements a hierarchical model and produces posterior probabilities for peptide reactivity and a fold change estimate to quantify the magnitude. BEER also offers functionality to infer peptide reactivity based on the edgeR package, though the improvement in speed is offset by slightly lower sensitivity compared to the Bayesian approach, specifically for weakly reactive peptides. AVAILABILITY AND IMPLEMENTATION BEER is implemented in R and freely available from the Bioconductor repository at https://bioconductor.org/packages/release/bioc/html/beer.html.
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Affiliation(s)
- Athena Chen
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Kai Kammers
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - H Benjamin Larman
- Department of Pathology and the Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Robert B Scharpf
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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14
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Credle JJ, Gunn J, Sangkhapreecha P, Monaco DR, Zheng XA, Tsai HJ, Wilbon A, Morgenlander WR, Rastegar A, Dong Y, Jayaraman S, Tosi L, Parekkadan B, Baer AN, Roederer M, Bloch EM, Tobian AAR, Zyskind I, Silverberg JI, Rosenberg AZ, Cox AL, Lloyd T, Mammen AL, Benjamin Larman H. Unbiased discovery of autoantibodies associated with severe COVID-19 via genome-scale self-assembled DNA-barcoded protein libraries. Nat Biomed Eng 2022; 6:992-1003. [PMID: 35986181 PMCID: PMC10034860 DOI: 10.1038/s41551-022-00925-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [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: 05/07/2021] [Accepted: 07/14/2022] [Indexed: 12/13/2022]
Abstract
Pathogenic autoreactive antibodies that may be associated with life-threatening coronavirus disease 2019 (COVID-19) remain to be identified. Here, we show that self-assembled genome-scale libraries of full-length proteins covalently coupled to unique DNA barcodes for analysis by sequencing can be used for the unbiased identification of autoreactive antibodies in plasma samples. By screening 11,076 DNA-barcoded proteins expressed from a sequence-verified human ORFeome library, the method, which we named MIPSA (for Molecular Indexing of Proteins by Self-Assembly), allowed us to detect circulating neutralizing type-I and type-III interferon (IFN) autoantibodies in five plasma samples from 55 patients with life-threatening COVID-19. In addition to identifying neutralizing type-I IFN-α and IFN-ω autoantibodies and other previously known autoreactive antibodies in patient plasma, MIPSA enabled the detection of as yet unidentified neutralizing type-III anti-IFN-λ3 autoantibodies that were not seen in healthy plasma samples or in convalescent plasma from ten non-hospitalized individuals with COVID-19. The low cost and simple workflow of MIPSA will facilitate unbiased high-throughput analyses of protein-antibody, protein-protein and protein-small-molecule interactions.
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Affiliation(s)
- Joel J Credle
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jonathan Gunn
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Puwanat Sangkhapreecha
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel R Monaco
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Xuwen Alice Zheng
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hung-Ji Tsai
- Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Azaan Wilbon
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - William R Morgenlander
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andre Rastegar
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yi Dong
- Center for Cell Dynamics and Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sahana Jayaraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lorenzo Tosi
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA
| | - Biju Parekkadan
- Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA
| | - Alan N Baer
- Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mario Roederer
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Evan M Bloch
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aaron A R Tobian
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Israel Zyskind
- Department of Pediatrics, NYU Langone Medical Center, New York City, NY, USA
- Department of Pediatrics, Maimonides Medical Center, Brooklyn, NY, USA
| | - Jonathan I Silverberg
- Department of Dermatology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Avi Z Rosenberg
- Division of Kidney-Urologic Pathology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrea L Cox
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tom Lloyd
- Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew L Mammen
- Department of Neurology and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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15
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Rasquinha MT, Lasrado N, Petro-Turnquist E, Weaver E, Venkataraman T, Anderson D, Laserson U, Larman HB, Reddy J. PhIP-Seq Reveals Autoantibodies for Ubiquitously Expressed Antigens in Viral Myocarditis. Biology 2022; 11:biology11071055. [PMID: 36101433 PMCID: PMC9312229 DOI: 10.3390/biology11071055] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/09/2022] [Accepted: 07/11/2022] [Indexed: 12/01/2022]
Abstract
Simple Summary Myocarditis is the inflammation of the heart muscle, and viral infections are a common cause of this disease. Myocarditis in some patients can progress to dilated cardiomyopathy (DCM). The mouse model of coxsackievirus B3 (CVB3) is commonly used to understand this disease progression in DCM patients. In this paper, we have attempted to analyze antibodies for heart antigens that could be produced as a result of heart damage in animals infected with CVB3 using a technique called Phage ImmunoPrecipitation Sequencing (PhIP-Seq). The analyses led us to identify antibodies for several proteins that were not previously reported that may have relevance to human disease. Abstract Enteroviruses such as group B coxsackieviruses (CVB) are commonly suspected as causes of myocarditis that can lead to dilated cardiomyopathy (DCM), and the mouse model of CVB3 myocarditis is routinely used to understand DCM pathogenesis. Mechanistically, autoimmunity is suspected due to the presence of autoantibodies for select antigens. However, their role continues to be enigmatic, which also raises the question of whether the breadth of autoantibodies is sufficiently characterized. Here, we attempted to comprehensively analyze the autoantibody repertoire using Phage ImmunoPrecipitation Sequencing (PhIP-Seq), a versatile and high-throughput platform, in the mouse model of CVB3 myocarditis. First, PhIP-Seq analysis using the VirScan library revealed antibody reactivity only to CVB3 in the infected group but not in controls, thus validating the technique in this model. Second, using the mouse peptide library, we detected autoantibodies to 32 peptides from 25 proteins in infected animals that are ubiquitously expressed and have not been previously reported. Third, by using ELISA as a secondary assay, we confirmed antibody reactivity in sera from CVB3-infected animals to cytochrome c oxidase assembly factor 4 homolog (COA4) and phosphoinositide-3-kinase adaptor protein 1 (PIK3AP1), indicating the specificity of antibody detection by PhIP-Seq technology. Fourth, we noted similar antibody reactivity patterns in CVB3 and CVB4 infections, suggesting that the COA4- and PIK3AP1-reactive antibodies could be common to multiple CVB infections. The specificity of the autoantibodies was affirmed with influenza-infected animals that showed no reactivity to any of the antigens tested. Taken together, our data suggest that the autoantibodies identified by PhIP-Seq may have relevance to CVB pathogenesis, with a possibility that similar reactivity could be expected in human DCM patients.
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Affiliation(s)
- Mahima T. Rasquinha
- School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (M.T.R.); (N.L.)
| | - Ninaad Lasrado
- School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (M.T.R.); (N.L.)
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Erika Petro-Turnquist
- Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (E.P.-T.); (E.W.)
| | - Eric Weaver
- Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (E.P.-T.); (E.W.)
| | - Thiagarajan Venkataraman
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA;
| | - Daniel Anderson
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA;
| | - Uri Laserson
- Department of Genetics and Genomic Sciences and Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - H. Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA;
- Correspondence: (H.B.L.); (J.R.); Tel.: +1-(410)-614-6525 (H.B.L); +1-(402)-472-8541 (J.R.)
| | - Jay Reddy
- School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; (M.T.R.); (N.L.)
- Correspondence: (H.B.L.); (J.R.); Tel.: +1-(410)-614-6525 (H.B.L); +1-(402)-472-8541 (J.R.)
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16
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Angkeow JW, Monaco DR, Chen A, Venkataraman T, Jayaraman S, Valencia C, Sie BM, Liechti T, Farhadi PN, Funez-dePagnier G, Sherman-Baust CA, Wong MQ, Ruczinski I, Caturegli P, Sears CL, Simner PJ, Round JL, Duggal P, Laserson U, Steiner TS, Sen R, Lloyd TE, Roederer M, Mammen AL, Longman RS, Rider LG, Larman HB. Phage display of environmental protein toxins and virulence factors reveals the prevalence, persistence, and genetics of antibody responses. Immunity 2022; 55:1051-1066.e4. [PMID: 35649416 PMCID: PMC9203978 DOI: 10.1016/j.immuni.2022.05.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [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: 09/03/2021] [Revised: 02/17/2022] [Accepted: 05/03/2022] [Indexed: 11/19/2022]
Abstract
Microbial exposures are crucial environmental factors that impact healthspan by sculpting the immune system and microbiota. Antibody profiling via Phage ImmunoPrecipitation Sequencing (PhIP-Seq) provides a high-throughput, cost-effective approach for detecting exposure and response to microbial protein products. We designed and constructed a library of 95,601 56-amino acid peptide tiles spanning 14,430 proteins with "toxin" or "virulence factor" keyword annotations. We used PhIP-Seq to profile the antibodies of ∼1,000 individuals against this "ToxScan" library. In addition to enumerating immunodominant antibody epitopes, we studied the age-dependent stability of the ToxScan profile and used a genome-wide association study to find that the MHC-II locus modulates bacterial epitope selection. We detected previously described anti-flagellin antibody responses in a Crohn's disease cohort and identified an association between anti-flagellin antibodies and juvenile dermatomyositis. PhIP-Seq with the ToxScan library is thus an effective tool for studying the environmental determinants of health and disease at cohort scale.
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Affiliation(s)
- Julia W Angkeow
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel R Monaco
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Athena Chen
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Thiagarajan Venkataraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sahana Jayaraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cristian Valencia
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Brandon M Sie
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas Liechti
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Payam N Farhadi
- Environmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, NIH, Bethesda, MD, USA
| | - Gabriela Funez-dePagnier
- Jill Roberts Institute for Research in IBD, Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Cheryl A Sherman-Baust
- Laboratory of Molecular Biology and Immunology, NIH/National Institute on Aging, Baltimore, MD, USA
| | - May Q Wong
- BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Patrizio Caturegli
- Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cynthia L Sears
- Departments of Medicine and Oncology, Johns Hopkins University School of Medicine, and Department of Molecular Microbiology & Immunology, Bloomberg School of Public Health, Baltimore, MD, USA
| | - Patricia J Simner
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - June L Round
- Department of Pathology, Division of Microbiology and Immunology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Priya Duggal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Uri Laserson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Ranjan Sen
- Laboratory of Molecular Biology and Immunology, NIH/National Institute on Aging, Baltimore, MD, USA
| | - Thomas E Lloyd
- Department of Neurology, Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Mario Roederer
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Andrew L Mammen
- Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulations, National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD, USA
| | - Randy S Longman
- Jill Roberts Institute for Research in IBD, Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lisa G Rider
- Environmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, NIH, Bethesda, MD, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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17
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Britson KA, Ling JP, Braunstein KE, Montagne JM, Kastenschmidt JM, Wilson A, Ikenaga C, Tsao W, Pinal-Fernandez I, Russell KA, Reed N, Mozaffar T, Wagner KR, Ostrow LW, Corse AM, Mammen AL, Villalta SA, Larman HB, Wong PC, Lloyd TE. Loss of TDP-43 function and rimmed vacuoles persist after T cell depletion in a xenograft model of sporadic inclusion body myositis. Sci Transl Med 2022; 14:eabi9196. [PMID: 35044790 PMCID: PMC9118725 DOI: 10.1126/scitranslmed.abi9196] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [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] [Indexed: 12/15/2022]
Abstract
Sporadic inclusion body myositis (IBM) is the most common acquired muscle disease in adults over age 50, yet it remains unclear whether the disease is primarily driven by T cell–mediated autoimmunity. IBM muscle biopsies display nuclear clearance and cytoplasmic aggregation of TDP-43 in muscle cells, a pathologic finding observed initially in neurodegenerative diseases, where nuclear loss of TDP-43 in neurons causes aberrant RNA splicing. Here, we show that loss of TDP-43–mediated splicing repression, as determined by inclusion of cryptic exons, occurs in skeletal muscle of subjects with IBM. Of 119 muscle biopsies tested, RT-PCR–mediated detection of cryptic exon inclusion was able to diagnose IBM with 84% sensitivity and 99% specificity. To determine the role of T cells in pathogenesis, we generated a xenograft model by transplanting human IBM muscle into the hindlimb of immunodeficient mice. Xenografts from subjects with IBM displayed robust regeneration of human myofibers and recapitulated both inflammatory and degenerative features of the disease. Myofibers in IBM xenografts showed invasion by human, oligoclonal CD8+ T cells and exhibited MHC-I up-regulation, rimmed vacuoles, mitochondrial pathology, p62-positive inclusions, and nuclear clearance and cytoplasmic aggregation of TDP-43, associated with cryptic exon inclusion. Reduction of human T cells within IBM xenografts by treating mice intraperitoneally with anti-CD3 (OKT3) suppressed MHC-I up-regulation. However, rimmed vacuoles and loss of TDP-43 function persisted. These data suggest that T cell depletion does not alter muscle degenerative pathology in IBM.
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Affiliation(s)
- Kyla A. Britson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jonathan P. Ling
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kerstin E. Braunstein
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Janelle M. Montagne
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Jenna M. Kastenschmidt
- Department of Physiology and Biophysics, Institute for Immunology, University of California Irvine, Irvine, CA 92697, USA
| | - Andrew Wilson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Chiseko Ikenaga
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - William Tsao
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Iago Pinal-Fernandez
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Katelyn A. Russell
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nicole Reed
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tahseen Mozaffar
- Institute for Immunology, Department of Neurology, University of California Irvine, Irvine, CA 92697, USA
| | - Kathryn R. Wagner
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Center for Genetic Muscle Disorders, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Lyle W. Ostrow
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Andrea M. Corse
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Andrew L. Mammen
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - S. Armando Villalta
- Department of Physiology and Biophysics, Institute for Immunology, University of California Irvine, Irvine, CA 92697, USA
| | - H. Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Philip C. Wong
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Synder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Thomas E. Lloyd
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Solomon H. Synder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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18
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Venkataraman T, Valencia C, Mangino M, Morgenlander W, Clipman SJ, Liechti T, Valencia A, Christofidou P, Spector T, Roederer M, Duggal P, Larman HB. Analysis of antibody binding specificities in twin and SNP-genotyped cohorts reveals that antiviral antibody epitope selection is a heritable trait. Immunity 2022; 55:174-184.e5. [PMID: 35021055 PMCID: PMC8852220 DOI: 10.1016/j.immuni.2021.12.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [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: 04/30/2021] [Revised: 08/19/2021] [Accepted: 12/07/2021] [Indexed: 01/13/2023]
Abstract
Human immune responses to viral infections are highly variable, but the genetic factors that contribute to this variability are not well characterized. We used VirScan, a high-throughput epitope scanning technology, to analyze pan-viral antibody reactivity profiles of twins and SNP-genotyped individuals. Using these data, we determined the heritability and genomic loci associated with antibody epitope selection, response breadth, and control of Epstein-Barr virus (EBV) viral load. 107 EBV peptide reactivities were heritable and at least two Epstein-Barr nuclear antigen 2 (EBNA-2) reactivities were associated with variants in the MHC class II locus. We identified an EBV serosignature that predicted viral load in peripheral blood mononuclear cells and was associated with variants in the MHC class I locus. Our study illustrates the utility of epitope profiling to investigate the genetics of pathogen immunity, reports heritable features of the antibody response to viruses, and identifies specific HLA loci important for EBV epitope selection.
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Affiliation(s)
- Thiagarajan Venkataraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Cristian Valencia
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King’s College of London, London, UK,NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London SE1 9RT, UK
| | - William Morgenlander
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Steven J. Clipman
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Thomas Liechti
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Ana Valencia
- School of Medicine, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Paraskevi Christofidou
- Department of Twin Research & Genetic Epidemiology, King’s College of London, London, UK
| | - Tim Spector
- Department of Twin Research & Genetic Epidemiology, King’s College of London, London, UK
| | - Mario Roederer
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Priya Duggal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - H. Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA,Lead contact,Correspondence: (H.B.L)
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19
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Monaco DR, Kottapalli SV, Breitwieser FP, Anderson DE, Wijaya L, Tan K, Chia WN, Kammers K, Caturegli P, Waugh K, Roederer M, Petri M, Goldman DW, Rewers M, Wang LF, Larman HB. Deconvoluting virome-wide antibody epitope reactivity profiles. EBioMedicine 2022; 75:103747. [PMID: 34922324 PMCID: PMC8688874 DOI: 10.1016/j.ebiom.2021.103747] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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: 06/10/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Comprehensive characterization of exposures and immune responses to viral infections is critical to a basic understanding of human health and disease. We previously developed the VirScan system, a programmable phage-display technology for profiling antibody binding to a library of peptides designed to span the human virome. Previous VirScan analytical approaches did not carefully account for antibody cross-reactivity among sequences shared by related viruses or for the disproportionate representation of individual viruses in the library. METHODS Here we present the AntiViral Antibody Response Deconvolution Algorithm (AVARDA), a multi-module software package for analyzing VirScan datasets. AVARDA provides a probabilistic assessment of infection with species-level resolution by considering sequence alignment of all library peptides to each other and to all human viruses. We employed AVARDA to analyze VirScan data from a cohort of encephalitis patients with either known viral infections or undiagnosed etiologies. We further assessed AVARDA's utility in associating viral infection with type 1 diabetes and lupus. FINDINGS By comparing acute and convalescent sera, AVARDA successfully confirmed or detected encephalitis-associated responses to human herpesviruses 1, 3, 4, 5, and 6, improving the rate of diagnosing viral encephalitis in this cohort by 44%. AVARDA analyses of VirScan data from the type 1 diabetes and lupus cohorts implicated enterovirus and herpesvirus infections, respectively. INTERPRETATION AVARDA, in combination with VirScan and other pan-pathogen serological techniques, is likely to find broad utility in the epidemiology and diagnosis of infectious diseases. FUNDING This work was made possible by support from the National Institutes of Health (NIH), the US Army Research Office, the Singapore Infectious Diseases Initiative (SIDI), the Singapore Ministry of Health's National Medical Research Council (NMRC) and the Singapore National Research Foundation (NRF).
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Affiliation(s)
- Daniel R Monaco
- Department of Pathology, Division of Immunology, Institute of Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Sanjay V Kottapalli
- Department of Pathology, Division of Immunology, Institute of Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Florian P Breitwieser
- Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Danielle E Anderson
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, 8 College Road, 169857, Singapore
| | - Limin Wijaya
- Department of Infectious Diseases, Singapore General Hospital, 20 College Road, 169856, Singapore
| | - Kevin Tan
- National Neuroscience Institute, 11 Jalan Tan Tock Seng, 308433, Singapore
| | - Wan Ni Chia
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, 8 College Road, 169857, Singapore
| | - Kai Kammers
- Department of Oncology, Division of Biostatistics and Bioinformatics, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Patrizio Caturegli
- Department of Pathology, Division of Immunology, Institute of Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kathleen Waugh
- Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, CO, USA
| | - Mario Roederer
- ImmunoTechnology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Michelle Petri
- Department of Medicine, Division of Rheumatology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel W Goldman
- Department of Medicine, Division of Rheumatology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, CO, USA
| | - Lin-Fa Wang
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, 8 College Road, 169857, Singapore
| | - H Benjamin Larman
- Department of Pathology, Division of Immunology, Institute of Cell Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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20
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Román-Meléndez GD, Monaco DR, Montagne JM, Quizon RS, Konig MF, Astatke M, Darrah E, Larman HB. Citrullination of a phage-displayed human peptidome library reveals the fine specificities of rheumatoid arthritis-associated autoantibodies. EBioMedicine 2021; 71:103506. [PMID: 34481243 PMCID: PMC8414044 DOI: 10.1016/j.ebiom.2021.103506] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 04/29/2021] [Revised: 07/09/2021] [Accepted: 07/13/2021] [Indexed: 11/17/2022] Open
Abstract
Background Post-translational modifications (PTMs) on proteins can be targeted by antibodies associated with autoimmunity. Despite a growing appreciation for their intrinsic role in disease, there is a lack of highly multiplexed serological assays to characterize the fine specificities of PTM-directed autoantibodies. Methods In this study, we used the programmable phage display technology, Phage ImmunoPrecipitation Sequencing (PhIP-Seq), to profile rheumatoid arthritis (RA) associated anti-citrullinated protein antibody (ACPA) reactivities. Findings Using both unmodified and peptidylarginine deiminase (PAD)-modified phage display libraries consisting of ~250,000 overlapping 90 amino acid peptide tiles spanning the human proteome, PTM PhIP-Seq robustly identified antibodies to citrulline-dependent epitopes. Interpretation PTM PhIP-Seq was used to quantify key differences among RA patients, including PAD isoform specific ACPA profiles, and thus represents a powerful tool for proteome-scale antibody-binding analyses. Funding This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA). The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of ODNI, IARPA, or the US Government. The US Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein. This study was made possible by a National Institute of General Medical Sciences (NIGMS) grant R01 GM136724 (HBL). MFK was supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) grant T32AR048522. ED was supported by the Rheumatology Research Foundation.
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Affiliation(s)
- Gabriel D Román-Meléndez
- Immunology Division, Department of Pathology, Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel R Monaco
- Immunology Division, Department of Pathology, Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Janelle M Montagne
- Immunology Division, Department of Pathology, Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Rachel S Quizon
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Maximilian F Konig
- Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mekbib Astatke
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Erika Darrah
- Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - H Benjamin Larman
- Immunology Division, Department of Pathology, Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD, USA.
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21
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Kammers K, Chen A, Monaco DR, Hudelson SE, Grant-McAuley W, Moore RD, Alter G, Deeks SG, Morrison CS, Eller LA, Blankson JN, Laeyendecker O, Ruczinski I, Eshleman SH, Larman HB. HIV Antibody Profiles in HIV Controllers and Persons With Treatment-Induced Viral Suppression. Front Immunol 2021; 12:740395. [PMID: 34512672 PMCID: PMC8428532 DOI: 10.3389/fimmu.2021.740395] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 08/10/2021] [Indexed: 11/25/2022] Open
Abstract
Introduction Low HIV viral load is associated with delayed disease progression and reduced HIV transmission. HIV controllers suppress viral load to low levels in the absence of antiretroviral treatment (ART). We used an antibody profiling system, VirScan, to compare antibody reactivity and specificity in HIV controllers, non-controllers with treatment-induced viral suppression, and viremic non-controllers. Methods The VirScan library contains 3,384 phage-displayed peptides spanning the HIV proteome. Antibody reactivity to these peptides was measured in plasma from a Discovery Cohort that included 13 elite controllers, 27 viremic controllers, 12 viremic non-controllers, and 21 non-controllers who were virally suppressed on ART. Antibody reactivity to selected peptides was also assessed in an independent cohort of 29 elite controllers and 37 non-controllers who were virally suppressed on ART (Validation Cohort) and in a longitudinal cohort of non-controllers. Results In the Discovery Cohort, 62 peptides were preferentially targeted in HIV controllers compared to non-controllers who were virally suppressed on ART. These specificities were not significantly different when comparing controllers versus viremic non-controllers. Aggregate reactivity to these peptides was also high in elite controllers from the independent Validation Cohort. The 62 peptides formed seven clusters of homologous epitopes in env, gag, integrase, and vpu. Reactivity to one of these clusters located in gag p17 was inversely correlated with viral load set point in an independent cohort of non-controllers. Conclusions Antibody reactivity was low in non-controllers suppressed on ART, but remained high in viremic controllers despite viral suppression. Antibodies in controllers and viremic non-controllers were directed against epitopes in diverse HIV proteins; higher reactivity against p17 peptides was associated with lower viral load set point. Further studies are needed to determine if these antibodies play a role in regulation of HIV viral load.
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Affiliation(s)
- Kai Kammers
- Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Athena Chen
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States
| | - Daniel R. Monaco
- Department of Pathology and the Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Sarah E. Hudelson
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Wendy Grant-McAuley
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Richard D. Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Galit Alter
- Department of Medicine, Ragon Institute of Massachusetts General Hospital (MGH), Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, United States
| | - Steven G. Deeks
- Department of Medicine, University of California, San Francisco (UCSF), San Francisco, CA, United States
| | - Charles S. Morrison
- Behavioral, Epidemiologic and Clinical Sciences, Family Health International (FHI) 360, Durham, NC, United States
| | - Leigh A. Eller
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Joel N. Blankson
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Oliver Laeyendecker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States,Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, United States
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States
| | - Susan H. Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States,*Correspondence: H. Benjamin Larman, ; Susan H. Eshleman,
| | - H. Benjamin Larman
- Department of Pathology and the Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States,*Correspondence: H. Benjamin Larman, ; Susan H. Eshleman,
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22
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Lopez-Bujanda ZA, Obradovic A, Nirschl TR, Crowley L, Macedo R, Papachristodoulou A, O'Donnell T, Laserson U, Zarif JC, Reshef R, Yuan T, Soni MK, Antonarakis ES, Haffner MC, Larman HB, Shen MM, Muranski P, Drake CG. TGM4: an immunogenic prostate-restricted antigen. J Immunother Cancer 2021; 9:e001649. [PMID: 34193566 PMCID: PMC8246381 DOI: 10.1136/jitc-2020-001649] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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] [Accepted: 03/08/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Prostate cancer is the second leading cause of cancer-related death in men in the USA; death occurs when patients progress to metastatic castration-resistant prostate cancer (CRPC). Although immunotherapy with the Food and Drug Administration-approved vaccine sipuleucel-T, which targets prostatic acid phosphatase (PAP), extends survival for 2-4 months, the identification of new immunogenic tumor-associated antigens (TAAs) continues to be an unmet need. METHODS We evaluated the differential expression profile of castration-resistant prostate epithelial cells that give rise to CRPC from mice following an androgen deprivation/repletion cycle. The expression levels of a set of androgen-responsive genes were further evaluated in prostate, brain, colon, liver, lung, skin, kidney, and salivary gland from murine and human databases. The expression of a novel prostate-restricted TAA was then validated by immunostaining of mouse tissues and analyzed in primary tumors across all human cancer types in The Cancer Genome Atlas. Finally, the immunogenicity of this TAA was evaluated in vitro and in vivo using autologous coculture assays with cells from healthy donors as well as by measuring antigen-specific antibodies in sera from patients with prostate cancer (PCa) from a neoadjuvant clinical trial. RESULTS We identified a set of androgen-responsive genes that could serve as potential TAAs for PCa. In particular, we found transglutaminase 4 (Tgm4) to be highly expressed in prostate tumors that originate from luminal epithelial cells and only expressed at low levels in most extraprostatic tissues evaluated. Furthermore, elevated levels of TGM4 expression in primary PCa tumors correlated with unfavorable prognosis in patients. In vitro and in vivo assays confirmed the immunogenicity of TGM4. We found that activated proinflammatory effector memory CD8 and CD4 T cells were expanded by monocyte-derived dendritic cell (moDCs) pulsed with TGM4 to a greater extent than moDCs pulsed with either PAP or prostate-specific antigen (PSA), and T cells primed with TGM4-pulsed moDCs produce functional cytokines following a prime/boost regiment or in vitro stimulation. An IgG antibody response to TGM4 was detected in 30% of vaccinated patients, while fewer than 8% of vaccinated patients developed antibody responses to PSA or prostate-specific membrane antigen (PSMA). CONCLUSIONS These results suggest that TGM4 is an immunogenic, prostate-restricted antigen with the potential for further development as an immunotherapy target.
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Affiliation(s)
- Zoila A Lopez-Bujanda
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
- Current: Molecular Pathogenesis Program, The Kimmel Center for Biology and Medicine of the Skirball Institute, New York University School of Medicine, New York, NY, USA
| | - Aleksandar Obradovic
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | - Thomas R Nirschl
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
| | - Laura Crowley
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA
- Department of Urology, Columbia University Irving Medical Center, New York, New York, USA
| | - Rodney Macedo
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | - Alexandros Papachristodoulou
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York, USA
- Department of Molecular Pharmacology and Therapeutics, Columbia University Irving Medical Center, New York, New York, USA
| | - Timothy O'Donnell
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Uri Laserson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jelani C Zarif
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
- Department of Oncology, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
| | - Ran Reshef
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
- Division of Hematology Oncology, Columbia University Irving Medical Center, New York, New York, USA
| | - Tiezheng Yuan
- Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Institute of Cell Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Mithil K Soni
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
| | - Emmanuel S Antonarakis
- Department of Oncology, Johns Hopkins Medicine Sidney Kimmel Comprehensive Cancer Center, Baltimore, Maryland, USA
| | - Michael C Haffner
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Institute of Cell Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Michael M Shen
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA
- Department of Urology, Columbia University Irving Medical Center, New York, New York, USA
| | - Pawel Muranski
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Charles G Drake
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, New York, USA
- Department of Urology, Columbia University Irving Medical Center, New York, New York, USA
- Division of Hematology Oncology, Columbia University Irving Medical Center, New York, New York, USA
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23
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Natarajan H, Crowley AR, Butler SE, Xu S, Weiner JA, Bloch EM, Littlefield K, Wieland-Alter W, Connor RI, Wright PF, Benner SE, Bonny TS, Laeyendecker O, Sullivan D, Shoham S, Quinn TC, Larman HB, Casadevall A, Pekosz A, Redd AD, Tobian AAR, Ackerman ME. Markers of Polyfunctional SARS-CoV-2 Antibodies in Convalescent Plasma. mBio 2021; 12:e00765-21. [PMID: 33879585 PMCID: PMC8092262 DOI: 10.1128/mbio.00765-21] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [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: 03/17/2021] [Accepted: 03/19/2021] [Indexed: 01/08/2023] Open
Abstract
Convalescent plasma is a promising therapy for coronavirus disease 2019 (COVID-19), but the antibody characteristics that contribute to efficacy remain poorly understood. This study analyzed plasma samples from 126 eligible convalescent blood donors in addition to 15 naive individuals, as well as an additional 20 convalescent individuals as a validation cohort. Multiplexed Fc Array binding assays and functional antibody response assays were utilized to evaluate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody composition and activity. Donor convalescent plasma samples contained a range of antibody cell- and complement-mediated effector functions, indicating the diverse antiviral activity of humoral responses observed among recovered individuals. In addition to viral neutralization, convalescent plasma samples contained antibodies capable of mediating such Fc-dependent functions as complement activation, phagocytosis, and antibody-dependent cellular cytotoxicity against SARS-CoV-2. Plasma samples from a fraction of eligible donors exhibited high activity across all activities evaluated. These polyfunctional plasma samples could be identified with high accuracy with even single Fc Array features, whose correlation with polyfunctional activity was confirmed in the validation cohort. Collectively, these results expand understanding of the diversity of antibody-mediated antiviral functions associated with convalescent plasma, and the polyfunctional antiviral functions suggest that it could retain activity even when its neutralizing capacity is reduced by mutations in variant SARS-CoV-2.IMPORTANCE Convalescent plasma has been deployed globally as a treatment for COVID-19, but efficacy has been mixed. Better understanding of the antibody characteristics that may contribute to its antiviral effects is important for this intervention as well as offer insights into correlates of vaccine-mediated protection. Here, a survey of convalescent plasma activities, including antibody neutralization and diverse effector functions, was used to define plasma samples with broad activity profiles. These polyfunctional plasma samples could be reliably identified in multiple cohorts by multiplex assay, presenting a widely deployable screening test for plasma selection and investigation of vaccine-elicited responses.
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Affiliation(s)
- Harini Natarajan
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire, USA
| | - Andrew R Crowley
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire, USA
| | - Savannah E Butler
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire, USA
| | - Shiwei Xu
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
| | - Joshua A Weiner
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
| | - Evan M Bloch
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Kirsten Littlefield
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Wendy Wieland-Alter
- Department of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Ruth I Connor
- Department of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Peter F Wright
- Department of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA
| | - Sarah E Benner
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Tania S Bonny
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Oliver Laeyendecker
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - David Sullivan
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Shmuel Shoham
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Thomas C Quinn
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - H Benjamin Larman
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Arturo Casadevall
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Andrew D Redd
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Aaron A R Tobian
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Margaret E Ackerman
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, New Hampshire, USA
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
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24
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Morgenlander WR, Henson SN, Monaco DR, Chen A, Littlefield K, Bloch EM, Fujimura E, Ruczinski I, Crowley AR, Natarajan H, Butler SE, Weiner JA, Li MZ, Bonny TS, Benner SE, Balagopal A, Sullivan D, Shoham S, Quinn TC, Eshleman SH, Casadevall A, Redd AD, Laeyendecker O, Ackerman ME, Pekosz A, Elledge SJ, Robinson M, Tobian AA, Larman HB. Antibody responses to endemic coronaviruses modulate COVID-19 convalescent plasma functionality. J Clin Invest 2021; 131:146927. [PMID: 33571169 DOI: 10.1172/jci146927] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [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: 12/17/2020] [Accepted: 02/03/2021] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2 (CoV2) antibody therapies, including COVID-19 convalescent plasma (CCP), monoclonal antibodies, and hyperimmune globulin, are among the leading treatments for individuals with early COVID-19 infection. The functionality of convalescent plasma varies greatly, but the association of antibody epitope specificities with plasma functionality remains uncharacterized. We assessed antibody functionality and reactivities to peptides across the CoV2 and the 4 endemic human coronavirus (HCoV) genomes in 126 CCP donations. We found strong correlation between plasma functionality and polyclonal antibody targeting of CoV2 spike protein peptides. Antibody reactivity to many HCoV spike peptides also displayed strong correlation with plasma functionality, including pan-coronavirus cross-reactive epitopes located in a conserved region of the fusion peptide. After accounting for antibody cross-reactivity, we identified an association between greater alphacoronavirus NL63 antibody responses and development of highly neutralizing antibodies against CoV2. We also found that plasma preferentially reactive to the CoV2 spike receptor binding domain (RBD), versus the betacoronavirus HKU1 RBD, had higher neutralizing titer. Finally, we developed a 2-peptide serosignature that identifies plasma donations with high anti-spike titer, but that suffer from low neutralizing activity. These results suggest that analysis of coronavirus antibody fine specificities may be useful for selecting desired therapeutics and understanding the complex immune responses elicited by CoV2 infection.
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Affiliation(s)
- William R Morgenlander
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Stephanie N Henson
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Daniel R Monaco
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Kirsten Littlefield
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Evan M Bloch
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Eric Fujimura
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, and Department of Genetics, Program in Virology, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Andrew R Crowley
- Department of Microbiology and Immunology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Harini Natarajan
- Department of Microbiology and Immunology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Savannah E Butler
- Department of Microbiology and Immunology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Joshua A Weiner
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
| | - Mamie Z Li
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, and Department of Genetics, Program in Virology, Harvard Medical School, Boston, Massachusetts, USA
| | - Tania S Bonny
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sarah E Benner
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ashwin Balagopal
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - David Sullivan
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.,Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shmuel Shoham
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Thomas C Quinn
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, Maryland, USA
| | - Susan H Eshleman
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Arturo Casadevall
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Andrew D Redd
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, Maryland, USA
| | - Oliver Laeyendecker
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), NIH, Bethesda, Maryland, USA
| | - Margaret E Ackerman
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Stephen J Elledge
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, and Department of Genetics, Program in Virology, Harvard Medical School, Boston, Massachusetts, USA
| | - Matthew Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Aaron Ar Tobian
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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25
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Credle JJ, Gunn J, Sangkhapreecha P, Monaco DR, Zheng XA, Tsai HJ, Wilbon A, Morgenlander WR, Dong Y, Jayaraman S, Tosi L, Parekkadan B, Baer AN, Roederer M, Bloch EM, Tobian AAR, Zyskind I, Silverberg JI, Rosenberg AZ, Cox AL, Lloyd T, Mammen AL, Larman HB. Neutralizing IFNL3 Autoantibodies in Severe COVID-19 Identified Using Molecular Indexing of Proteins by Self-Assembly. bioRxiv 2021:2021.03.02.432977. [PMID: 33688651 PMCID: PMC7941622 DOI: 10.1101/2021.03.02.432977] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Unbiased antibody profiling can identify the targets of an immune reaction. A number of likely pathogenic autoreactive antibodies have been associated with life-threatening SARS-CoV-2 infection; yet, many additional autoantibodies likely remain unknown. Here we present Molecular Indexing of Proteins by Self Assembly (MIPSA), a technique that produces ORFeome-scale libraries of proteins covalently coupled to uniquely identifying DNA barcodes for analysis by sequencing. We used MIPSA to profile circulating autoantibodies from 55 patients with severe COVID-19 against 11,076 DNA-barcoded proteins of the human ORFeome library. MIPSA identified previously known autoreactivities, and also detected undescribed neutralizing interferon lambda 3 (IFN-λ3) autoantibodies. At-risk individuals with anti- IFN-λ3 antibodies may benefit from interferon supplementation therapies, such as those currently undergoing clinical evaluation.
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Affiliation(s)
- Joel J. Credle
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Jonathan Gunn
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Puwanat Sangkhapreecha
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Daniel R. Monaco
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Xuwen Alice Zheng
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Hung-Ji Tsai
- Institute of Microbiology and Infection, School of Biosciences, University of Birmingham, Edgbaston; Birmingham, United Kingdom
| | - Azaan Wilbon
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - William R. Morgenlander
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Yi Dong
- Center for Cell Dynamics and Department of Cell Biology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Sahana Jayaraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Lorenzo Tosi
- Department of Biomedical Engineering, Rutgers University; Piscataway, NJ, USA
| | - Biju Parekkadan
- Department of Biomedical Engineering, Rutgers University; Piscataway, NJ, USA
| | - Alan N. Baer
- Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Mario Roederer
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH; Bethesda, MD, USA
| | - Evan M. Bloch
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Aaron A. R. Tobian
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Israel Zyskind
- Department of Pediatrics, NYU Langone Medical Center, New York, NY and Maimonides Medical Center; Brooklyn, NY, USA
| | - Jonathan I. Silverberg
- Department of Dermatology, George Washington University School of Medicine and Health Sciences; Washington, DC, USA
| | - Avi Z. Rosenberg
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University; Baltimore, MD, USA
| | - Andrea L. Cox
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University; Baltimore, MD, USA
| | - Tom Lloyd
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - Andrew L. Mammen
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH; Bethesda, MD, USA and Departments of Neurology and Medicine, Johns Hopkins University School of Medicine; Baltimore, MD, USA
| | - H. Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine; Baltimore, MD, USA
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26
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Monaco DR, Sie BM, Nirschl TR, Knight AC, Sampson HA, Nowak-Wegrzyn A, Wood RA, Hamilton RG, Frischmeyer-Guerrerio PA, Larman HB. Profiling serum antibodies with a pan allergen phage library identifies key wheat allergy epitopes. Nat Commun 2021; 12:379. [PMID: 33483508 PMCID: PMC7822912 DOI: 10.1038/s41467-020-20622-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [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] [Received: 09/21/2020] [Accepted: 12/14/2020] [Indexed: 01/01/2023] Open
Abstract
Allergic reactions occur when IgE molecules become crosslinked by antigens such as food proteins. Here we create the 'AllerScan' programmable phage display system to characterize the binding specificities of anti-allergen IgG and IgE antibodies in serum against thousands of allergenic proteins from hundreds of organisms at peptide resolution. Using AllerScan, we identify robust anti-wheat IgE reactivities in wheat allergic individuals but not in wheat-sensitized individuals. Meanwhile, a key wheat epitope in alpha purothionin elicits dominant IgE responses among allergic patients, and frequent IgG responses among sensitized and non-allergic patients. A double-blind, placebo-controlled trial shows that alpha purothionin reactivity, among others, is strongly modulated by oral immunotherapy in tolerized individuals. AllerScan may thus serve as a high-throughput platform for unbiased analysis of anti-allergen antibody specificities.
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Affiliation(s)
- Daniel R Monaco
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Brandon M Sie
- Bioinformatics and Integrative Genomics PhD Program, Harvard Medical School, Boston, MA, USA
| | - Thomas R Nirschl
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Audrey C Knight
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Hugh A Sampson
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Robert A Wood
- Johns Hopkins University School of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Robert G Hamilton
- Division of Allergy and Clinical Immunology, Department of Medicine, and Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | | | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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27
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Conklin SE, Martin K, Manabe YC, Schmidt HA, Miller J, Keruly M, Klock E, Kirby CS, Baker OR, Fernandez RE, Eby YJ, Hardick J, Shaw-Saliba K, Rothman RE, Caturegli PP, Redd AD, Tobian AAR, Bloch EM, Larman HB, Quinn TC, Clarke W, Laeyendecker O. Evaluation of Serological SARS-CoV-2 Lateral Flow Assays for Rapid Point-of-Care Testing. J Clin Microbiol 2021; 59:e02020-20. [PMID: 33208477 PMCID: PMC8111122 DOI: 10.1128/jcm.02020-20] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [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] [Received: 08/04/2020] [Accepted: 11/16/2020] [Indexed: 11/20/2022] Open
Abstract
Rapid point-of-care tests (POCTs) for detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibodies vary in performance. A critical need exists to perform head-to-head comparisons of these assays. The performances of 15 different lateral flow POCTs for the detection of SARS-CoV-2-specific antibodies were compared on a well-characterized set of 100 samples. Of these, 40 samples from known SARS-CoV-2-infected, convalescent individuals (collected an average of 45 days after symptom onset) were used to assess sensitivity. Sixty samples from the prepandemic era (negative control) that were known to represent infections with other respiratory viruses (rhinoviruses A, B, and C and/or coronavirus 229E, HKU1, and NL63 OC43) were used to assess specificity. The timing of seroconversion was assessed using five lateral flow assays (LFAs) and a panel of 272 longitudinal samples from 47 patients for whom the time since symptom onset was known. Among the assays that were evaluated, the sensitivity and specificity for any reactive band ranged from 55% to 97% and from 78% to 100%, respectively. Assessing the performance of the IgM and the IgG bands alone, sensitivity and specificity ranged from 0% to 88% and 80% to 100% for IgM and from 25% to 95% and 90% to 100% for IgG, respectively. Longitudinal testing revealed that the median times after symptom onset to a positive result were 7 days (interquartile range [IQR], 5.4 to 9.8) for IgM and 8.2 days (IQR, 6.3 to 11.3) for IgG. The testing performances differed widely among LFAs, with greatest amount of variation related to the sensitivity of the assays. The IgM band was the band most likely to misclassify prepandemic samples. The appearances of IgM and IgG bands occurred almost simultaneously.
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Affiliation(s)
- Steven E Conklin
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kathryn Martin
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yukari C Manabe
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Haley A Schmidt
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jernelle Miller
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Morgan Keruly
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Ethan Klock
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Charles S Kirby
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Owen R Baker
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Reinaldo E Fernandez
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yolanda J Eby
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Justin Hardick
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kathryn Shaw-Saliba
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Richard E Rothman
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Patrizio P Caturegli
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Andrew D Redd
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Aaron A R Tobian
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Evan M Bloch
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - H Benjamin Larman
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Thomas C Quinn
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - William Clarke
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Oliver Laeyendecker
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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28
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Morgenlander W, Henson S, Monaco D, Chen A, Littlefield K, Bloch EM, Fujimura E, Ruczinski I, Crowley AR, Natarajan H, Butler SE, Weiner JA, Li MZ, Bonny TS, Benner SE, Ashwin Balagopal, Sullivan D, Shoham S, Quinn TC, Eshleman S, Casadevall A, Redd AD, Laeyendecker O, Ackerman ME, Pekosz A, Elledge SJ, Robinson M, Tobian AAR, Larman HB. Antibody responses to endemic coronaviruses modulate COVID-19 convalescent plasma functionality. medRxiv 2020:2020.12.16.20248294. [PMID: 33354688 PMCID: PMC7755150 DOI: 10.1101/2020.12.16.20248294] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [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
COVID-19 convalescent plasma, particularly plasma with high-titer SARS-CoV-2 (CoV2) antibodies, has been successfully used for treatment of COVID-19. The functionality of convalescent plasma varies greatly, but the association of antibody epitope specificities with plasma functionality remains uncharacterized. We assessed antibody functionality and reactivities to peptides across the CoV2 and the four endemic human coronavirus (HCoV) genomes in 126 COVID-19 convalescent plasma donations. We found strong correlation between plasma functionality and polyclonal antibody targeting of CoV2 spike protein peptides. Antibody reactivity to many HCoV spike peptides also displayed strong correlation with plasma functionality, including pan-coronavirus cross-reactive epitopes located in a conserved region of the fusion peptide. After accounting for antibody cross-reactivity, we identified an association between greater alphacoronavirus NL63 antibody responses and development of highly neutralizing antibodies to SARS-CoV-2. We also found that plasma preferentially reactive to the CoV2 receptor binding domain (RBD), versus the betacoronavirus HKU1 RBD, had higher neutralizing titer. Finally, we developed a two-peptide serosignature that identifies plasma donations with high anti-S titer but that suffer from low neutralizing activity. These results suggest that analysis of coronavirus antibody fine specificities may be useful for selecting therapeutic plasma with desired functionalities.
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Affiliation(s)
- William Morgenlander
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephanie Henson
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Monaco
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Athena Chen
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kirsten Littlefield
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Evan M Bloch
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eric Fujimura
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, USA; Department of Genetics, Program in Virology, Harvard University Medical School, Boston, MA, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrew R Crowley
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Harini Natarajan
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Savannah E Butler
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Joshua A Weiner
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - Mamie Z Li
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, USA; Department of Genetics, Program in Virology, Harvard University Medical School, Boston, MA, USA
| | - Tania S Bonny
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sarah E Benner
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ashwin Balagopal
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David Sullivan
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shmuel Shoham
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas C Quinn
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Susan Eshleman
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Arturo Casadevall
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrew D Redd
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Oliver Laeyendecker
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Stephen J Elledge
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, USA; Department of Genetics, Program in Virology, Harvard University Medical School, Boston, MA, USA
| | - Matthew Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aaron A R Tobian
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - H Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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29
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Pisanic N, Randad PR, Kruczynski K, Manabe YC, Thomas DL, Pekosz A, Klein SL, Betenbaugh MJ, Clarke WA, Laeyendecker O, Caturegli PP, Larman HB, Detrick B, Fairley JK, Sherman AC, Rouphael N, Edupuganti S, Granger DA, Granger SW, Collins MH, Heaney CD. COVID-19 Serology at Population Scale: SARS-CoV-2-Specific Antibody Responses in Saliva. J Clin Microbiol 2020; 59:e02204-20. [PMID: 33067270 PMCID: PMC7771435 DOI: 10.1128/jcm.02204-20] [Citation(s) in RCA: 157] [Impact Index Per Article: 39.3] [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] [Received: 08/21/2020] [Accepted: 10/14/2020] [Indexed: 01/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of an ongoing pandemic that has infected over 36 million and killed over 1 million people. Informed implementation of government public health policies depends on accurate data on SARS-CoV-2 immunity at a population scale. We hypothesized that detection of SARS-CoV-2 salivary antibodies could serve as a noninvasive alternative to serological testing for monitoring of SARS-CoV-2 infection and seropositivity at a population scale. We developed a multiplex SARS-CoV-2 antibody immunoassay based on Luminex technology that comprised 12 CoV antigens, mostly derived from SARS-CoV-2 nucleocapsid (N) and spike (S). Saliva and sera collected from confirmed coronavirus disease 2019 (COVID-19) cases and from the pre-COVID-19 era were tested for IgG, IgA, and IgM to the antigen panel. Matched saliva and serum IgG responses (n = 28) were significantly correlated. The salivary anti-N IgG response resulted in the highest sensitivity (100%), exhibiting a positive response in 24/24 reverse transcription-PCR (RT-PCR)-confirmed COVID-19 cases sampled at >14 days post-symptom onset (DPSO), whereas the salivary anti-receptor binding domain (RBD) IgG response yielded 100% specificity. Temporal kinetics of IgG in saliva were consistent with those observed in blood and indicated that most individuals seroconvert at around 10 DPSO. Algorithms employing a combination of the IgG responses to N and S antigens result in high diagnostic accuracy (100%) by as early as 10 DPSO. These results support the use of saliva-based antibody testing as a noninvasive and scalable alternative to blood-based antibody testing.
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Affiliation(s)
- Nora Pisanic
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Pranay R Randad
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kate Kruczynski
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yukari C Manabe
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - David L Thomas
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Andrew Pekosz
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sabra L Klein
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Michael J Betenbaugh
- Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - William A Clarke
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Oliver Laeyendecker
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, Maryland, USA
| | - Patrizio P Caturegli
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - H Benjamin Larman
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Barbara Detrick
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jessica K Fairley
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Amy C Sherman
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Nadine Rouphael
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Srilatha Edupuganti
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Douglas A Granger
- Institute for Interdisciplinary Salivary Bioscience Research, University of California at Irvine, Irvine, California, USA
| | | | - Matthew H Collins
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Christopher D Heaney
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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30
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Shrock E, Fujimura E, Kula T, Timms RT, Lee IH, Leng Y, Robinson ML, Sie BM, Li MZ, Chen Y, Logue J, Zuiani A, McCulloch D, Lelis FJN, Henson S, Monaco DR, Travers M, Habibi S, Clarke WA, Caturegli P, Laeyendecker O, Piechocka-Trocha A, Li JZ, Khatri A, Chu HY, Villani AC, Kays K, Goldberg MB, Hacohen N, Filbin MR, Yu XG, Walker BD, Wesemann DR, Larman HB, Lederer JA, Elledge SJ. Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity. Science 2020; 370:science.abd4250. [PMID: 32994364 PMCID: PMC7857405 DOI: 10.1126/science.abd4250] [Citation(s) in RCA: 423] [Impact Index Per Article: 105.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 09/25/2020] [Indexed: 12/11/2022]
Abstract
Understanding humoral responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical for improving diagnostics, therapeutics, and vaccines. Deep serological profiling of 232 coronavirus disease 2019 (COVID-19) patients and 190 pre-COVID-19 era controls using VirScan revealed more than 800 epitopes in the SARS-CoV-2 proteome, including 10 epitopes likely recognized by neutralizing antibodies. Preexisting antibodies in controls recognized SARS-CoV-2 ORF1, whereas only COVID-19 patient antibodies primarily recognized spike protein and nucleoprotein. A machine learning model trained on VirScan data predicted SARS-CoV-2 exposure history with 99% sensitivity and 98% specificity; a rapid Luminex-based diagnostic was developed from the most discriminatory SARS-CoV-2 peptides. Individuals with more severe COVID-19 exhibited stronger and broader SARS-CoV-2 responses, weaker antibody responses to prior infections, and higher incidence of cytomegalovirus and herpes simplex virus 1, possibly influenced by demographic covariates. Among hospitalized patients, males produce stronger SARS-CoV-2 antibody responses than females.
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Affiliation(s)
- Ellen Shrock
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA
| | - Eric Fujimura
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA.,Chemical Biology Program, Harvard University, Cambridge, MA, USA
| | - Tomasz Kula
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA
| | - Richard T. Timms
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA
| | - I-Hsiu Lee
- Center for Systems Biology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yumei Leng
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA
| | - Matthew L. Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brandon M. Sie
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA
| | - Mamie Z. Li
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA
| | - Yuezhou Chen
- Division of Allergy and Immunology and Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - Jennifer Logue
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Adam Zuiani
- Division of Allergy and Immunology and Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - Denise McCulloch
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Felipe J. N. Lelis
- Division of Allergy and Immunology and Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - Stephanie Henson
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel R. Monaco
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Meghan Travers
- Division of Allergy and Immunology and Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - Shaghayegh Habibi
- Division of Allergy and Immunology and Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - William A. Clarke
- Division of Clinical Chemistry, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Patrizio Caturegli
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Oliver Laeyendecker
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Division of Intramural Research, NIAID, NIH, Baltimore, MD, USA
| | - Alicja Piechocka-Trocha
- Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA.,Howard Hughes Medical Institute, Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Jonathan Z. Li
- Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA.,Infectious Disease Division, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ashok Khatri
- Endocrine Unit and Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Helen Y. Chu
- Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Alexandra-Chloé Villani
- Massachusetts General Hospital Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kyle Kays
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Marcia B. Goldberg
- Center for Bacterial Pathogenesis, Division of Infectious Diseases, Department of Medicine and Microbiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nir Hacohen
- Massachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Michael R. Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Xu G. Yu
- Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA.,Infectious Disease Division, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA.,Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Bruce D. Walker
- Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA.,Howard Hughes Medical Institute, Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.,Centre for the AIDS Programme of Research in South Africa, Congella, South Africa
| | - Duane R. Wesemann
- Division of Allergy and Immunology and Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA
| | - H. Benjamin Larman
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - James A. Lederer
- Department of Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Stephen J. Elledge
- Department of Genetics, Harvard Medical School, Boston, MA, USA.,Howard Hughes Medical Institute, Division of Genetics, Brigham and Women’s Hospital, Program in Virology, Harvard Medical School, Boston, MA, USA.,Massachusetts Consortium on Pathogen Readiness, Boston, MA, USA.,Corresponding author.
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31
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Román-Meléndez GD, Venkataraman T, Monaco DR, Larman HB. Protease Activity Profiling via Programmable Phage Display of Comprehensive Proteome-Scale Peptide Libraries. Cell Syst 2020; 11:375-381.e4. [PMID: 33099407 DOI: 10.1016/j.cels.2020.08.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 04/04/2020] [Revised: 06/10/2020] [Accepted: 08/18/2020] [Indexed: 12/28/2022]
Abstract
Endopeptidases catalyze the internal cleavage of proteins, playing pivotal roles in protein turnover, substrate maturation, and the activation of signaling cascades. A broad range of biological functions in health and disease are controlled by proteases, yet assays to characterize their activities at a proteomic scale do not exist. To address this unmet need, we developed Sensing EndoPeptidase Activity via Release and recapture using flAnking Tag Epitopes (SEPARATE), which uses a monovalent phage display of the human proteome at a 90-aa peptide resolution. We demonstrate that SEPARATE is compatible with several human proteases from distinct catalytic classes, including caspase-1, ADAM17, and thrombin. Both well-characterized and newly identified substrates of these enzymes were detected in the assay. SEPARATE was used to discover a non-canonical caspase-1 substrate, the E3 ubiquitin ligase HUWE1, a key mediator of apoptotic cell death. SEPARATE enables efficient, unbiased assessment of endopeptidase activity by using a phage-displayed proteome. A record of this paper's Transparent Peer Review process is included in the Supplemental Information.
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Affiliation(s)
- Gabriel D Román-Meléndez
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA 21205
| | - Thiagarajan Venkataraman
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA 21205
| | - Daniel R Monaco
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA 21205
| | - H Benjamin Larman
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA 21205.
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Natarajan H, Crowley AR, Butler SE, Xu S, Weiner JA, Bloch EM, Littlefield K, Wieland-Alter W, Connor RI, Wright PF, Benner SE, Bonny TS, Laeyendecker O, Sullivan D, Shoham S, Quinn TC, Larman HB, Casadevall A, Pekosz A, Redd AD, Tobian AA, Ackerman ME. SARS-CoV-2 antibody signatures robustly predict diverse antiviral functions relevant for convalescent plasma therapy. medRxiv 2020:2020.09.16.20196154. [PMID: 32995801 PMCID: PMC7523138 DOI: 10.1101/2020.09.16.20196154] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [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
Convalescent plasma has emerged as a promising COVID-19 treatment. However, the humoral factors that contribute to efficacy are poorly understood. This study functionally and phenotypically profiled plasma from eligible convalescent donors. In addition to viral neutralization, convalescent plasma contained antibodies capable of mediating such Fc-dependent functions as complement activation, phagocytosis and antibody-dependent cellular cytotoxicity against SARS-CoV-2. These activities expand the antiviral functions associated with convalescent plasma and together with neutralization efficacy, could be accurately and robustly from antibody phenotypes. These results suggest that high-throughput profiling could be used to screen donors and plasma may provide benefits beyond neutralization.
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Affiliation(s)
- Harini Natarajan
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Andrew R. Crowley
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Savannah E. Butler
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Shiwei Xu
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - Joshua A. Weiner
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - Evan M. Bloch
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kirsten Littlefield
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wendy Wieland-Alter
- Department of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Ruth I. Connor
- Department of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Peter F. Wright
- Department of Pediatrics, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Sarah E. Benner
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Tania S. Bonny
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Oliver Laeyendecker
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - David Sullivan
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Shmuel Shoham
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Thomas C. Quinn
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - H. Benjamin Larman
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Arturo Casadevall
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrew D. Redd
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Aaron A.R. Tobian
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Margaret E. Ackerman
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
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Conklin SE, Martin K, Manabe YC, Schmidt HA, Keruly M, Klock E, Kirby CS, Baker OR, Fernandez RE, Eby YJ, Hardick J, Shaw-Saliba K, Rothman RE, Caturegli PP, Redd AR, Tobian AA, Bloch EM, Larman HB, Quinn TC, Clarke W, Laeyendecker O. Evaluation of Serological SARS-CoV-2 Lateral Flow Assays for Rapid Point of Care Testing. medRxiv 2020. [PMID: 32793916 DOI: 10.1101/2020.07.31.20166041] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Rapid point-of-care tests (POCTs) for SARS-CoV-2-specific antibodies vary in performance. A critical need exists to perform head-to-head comparison of these assays. METHODS Performance of fifteen different lateral flow POCTs for the detection of SARS-CoV-2-specific antibodies was performed on a well characterized set of 100 samples. Of these, 40 samples from known SARS-CoV-2-infected, convalescent individuals (average of 45 days post symptom onset) were used to assess sensitivity. Sixty samples from the pre-pandemic era (negative control), that were known to have been infected with other respiratory viruses (rhinoviruses A, B, C and/or coronavirus 229E, HKU1, NL63 OC43) were used to assess specificity. The timing of seroconversion was assessed on five POCTs on a panel of 272 longitudinal samples from 47 patients of known time since symptom onset. RESULTS For the assays that were evaluated, the sensitivity and specificity for any reactive band ranged from 55%-97% and 78%-100%, respectively. When assessing the performance of the IgM and the IgG bands alone, sensitivity and specificity ranged from 0%-88% and 80%-100% for IgM and 25%-95% and 90%-100% for IgG. Longitudinal testing revealed that median time post symptom onset to a positive result was 7 days (IQR 5.4, 9.8) for IgM and 8.2 days (IQR 6.3 to 11.3). CONCLUSION The testing performance varied widely among POCTs with most variation related to the sensitivity of the assays. The IgM band was most likely to misclassify pre-pandemic samples. The appearance of IgM and IgG bands occurred almost simultaneously.
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Credle JJ, Robinson ML, Gunn J, Monaco D, Sie B, Tchir A, Hardick J, Zheng X, Shaw-Saliba K, Rothman RE, Eshleman SH, Pekosz A, Hansen K, Mostafa H, Steinegger M, Larman HB. Highly multiplexed oligonucleotide probe-ligation testing enables efficient extraction-free SARS-CoV-2 detection and viral genotyping. bioRxiv 2020:2020.06.03.130591. [PMID: 32577648 PMCID: PMC7302202 DOI: 10.1101/2020.06.03.130591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 12/14/2022]
Abstract
The emergence of SARS-CoV-2 has caused the current COVID-19 pandemic with catastrophic societal impact. Because many individuals shed virus for days before symptom onset, and many show mild or no symptoms, an emergent and unprecedented need exists for development and deployment of sensitive and high throughput molecular diagnostic tests. RNA-mediated oligonucleotide Annealing Selection and Ligation with next generation DNA sequencing (RASL-seq) is a highly multiplexed technology for targeted analysis of polyadenylated mRNA, which incorporates sample barcoding for massively parallel analyses. Here we present a more generalized method, capture RASL-seq ("cRASL-seq"), which enables analysis of any targeted pathogen- (and/or host-) associated RNA molecules. cRASL-seq enables highly sensitive (down to ~1-100 pfu/ml or cfu/ml) and highly multiplexed (up to ~10,000 target sequences) detection of pathogens. Importantly, cRASL-seq analysis of COVID-19 patient nasopharyngeal (NP) swab specimens does not involve nucleic acid extraction or reverse transcription, steps that have caused testing bottlenecks associated with other assays. Our simplified workflow additionally enables the direct and efficient genotyping of selected, informative SARS-CoV-2 polymorphisms across the entire genome, which can be used for enhanced characterization of transmission chains at population scale and detection of viral clades with higher or lower virulence. Given its extremely low per-sample cost, simple and automatable protocol and analytics, probe panel modularity, and massive scalability, we propose that cRASL-seq testing is a powerful new surveillance technology with the potential to help mitigate the current pandemic and prevent similar public health crises.
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Affiliation(s)
- Joel J. Credle
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Matthew L Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jonathan Gunn
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel Monaco
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Brandon Sie
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Alexandra Tchir
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Justin Hardick
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Xuwen Zheng
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Kathryn Shaw-Saliba
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Richard E. Rothman
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan H. Eshleman
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kasper Hansen
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Heba Mostafa
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Martin Steinegger
- Biological Sciences & Institute of Molecular Biology and Genetics, Seoul National University, Seoul, South Korea
| | - H. Benjamin Larman
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
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35
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Randad PR, Pisanic N, Kruczynski K, Manabe YC, Thomas D, Pekosz A, Klein SL, Betenbaugh MJ, Clarke WA, Laeyendecker O, Caturegli PP, Larman HB, Detrick B, Fairley JK, Sherman AC, Rouphael N, Edupuganti S, Granger DA, Granger SW, Collins M, Heaney CD. COVID-19 serology at population scale: SARS-CoV-2-specific antibody responses in saliva. medRxiv 2020:2020.05.24.20112300. [PMID: 32511537 PMCID: PMC7273305 DOI: 10.1101/2020.05.24.20112300] [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] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Non-invasive SARS-CoV-2 antibody testing is urgently needed to estimate the incidence and prevalence of SARS-CoV-2 infection at the general population level. Precise knowledge of population immunity could allow government bodies to make informed decisions about how and when to relax stay-at-home directives and to reopen the economy. We hypothesized that salivary antibodies to SARS-CoV-2 could serve as a non-invasive alternative to serological testing for widespread monitoring of SARS-CoV-2 infection throughout the population. We developed a multiplex SARS-CoV-2 antibody immunoassay based on Luminex technology and tested 167 saliva and 324 serum samples, including 134 and 118 negative saliva and serum samples, respectively, collected before the COVID-19 pandemic, and 33 saliva and 206 serum samples from participants with RT-PCR-confirmed SARS-CoV-2 infection. We evaluated the correlation of results obtained in saliva vs. serum and determined the sensitivity and specificity for each diagnostic media, stratified by antibody isotype, for detection of SARS-CoV-2 infection based on COVID-19 case designation for all specimens. Matched serum and saliva SARS-CoV-2 antigen-specific IgG responses were significantly correlated. Within the 10-plex SARS-CoV-2 panel, the salivary anti-nucleocapsid (N) protein IgG response resulted in the highest sensitivity for detecting prior SARS-CoV-2 infection (100% sensitivity at ≥10 days post-SARS-CoV-2 symptom onset). The salivary anti-receptor binding domain (RBD) IgG response resulted in 100% specificity. Among individuals with SARS-CoV-2 infection confirmed with RT-PCR, the temporal kinetics of IgG, IgA, and IgM in saliva were consistent with those observed in serum. SARS-CoV-2 appears to trigger a humoral immune response resulting in the almost simultaneous rise of IgG, IgM and IgA levels both in serum and in saliva, mirroring responses consistent with the stimulation of existing, cross-reactive B cells. SARS-CoV-2 antibody testing in saliva can play a critically important role in large-scale "sero"-surveillance to address key public health priorities and guide policy and decision-making for COVID-19.
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Affiliation(s)
- Pranay R Randad
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Nora Pisanic
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kate Kruczynski
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yukari C Manabe
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - David Thomas
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Andrew Pekosz
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Sabra L Klein
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Michael J Betenbaugh
- Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - William A Clarke
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Oliver Laeyendecker
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, Maryland, USA
| | - Patrizio P Caturegli
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - H Benjamin Larman
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Barbara Detrick
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Immunology, Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jessica K Fairley
- Hubert Department of Global Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Amy C Sherman
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Nadine Rouphael
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Srilatha Edupuganti
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Douglas A Granger
- Institute for Interdisciplinary Salivary Bioscience Research, University of California Irvine, Irvine, California, USA
| | | | - Matthew Collins
- The Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Decatur, Georgia, USA
| | - Christopher D Heaney
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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36
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Irving AT, Rozario P, Kong PS, Luko K, Gorman JJ, Hastie ML, Chia WN, Mani S, Lee BPH, Smith GJD, Mendenhall IH, Larman HB, Elledge SJ, Wang LF. Robust dengue virus infection in bat cells and limited innate immune responses coupled with positive serology from bats in IndoMalaya and Australasia. Cell Mol Life Sci 2020; 77:1607-1622. [PMID: 31352533 DOI: 10.1007/s00018-019-03242-x] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 07/10/2019] [Accepted: 07/22/2019] [Indexed: 01/19/2023]
Abstract
Natural reservoir hosts can sustain infection of pathogens without succumbing to overt disease. Multiple bat species host a plethora of viruses, pathogenic to other mammals, without clinical symptoms. Here, we detail infection of bat primary cells, immune cells, and cell lines with Dengue virus. While antibodies and viral RNA were previously detected in wild bats, their ability to sustain infection is not conclusive. Old-world fruitbat cells can be infected, producing high titres of virus with limited cellular responses. In addition, there is minimal interferon (IFN) response in cells infected with MOIs leading to dengue production. The ability to support in vitro replication/production raises the possibility of bats as a transient host in the life cycle of dengue or similar flaviviruses. New antibody serology evidence from Asia/Pacific highlights the previous exposure and raises awareness that bats may be involved in flavivirus dynamics and infection of other hosts.
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Affiliation(s)
| | | | | | | | - Jeffrey J Gorman
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Marcus L Hastie
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Wan Ni Chia
- Duke-NUS Medical School, Singapore, Singapore
| | | | | | | | | | | | - Stephen J Elledge
- Harvard University Medical School, Boston, MA, 02115, USA
- Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Lin-Fa Wang
- Duke-NUS Medical School, Singapore, Singapore.
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37
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Miyahira AK, Sharp A, Ellis L, Jones J, Kaochar S, Larman HB, Quigley DA, Ye H, Simons JW, Pienta KJ, Soule HR. Prostate cancer research: The next generation; report from the 2019 Coffey-Holden Prostate Cancer Academy Meeting. Prostate 2020; 80:113-132. [PMID: 31825540 PMCID: PMC7301761 DOI: 10.1002/pros.23934] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 11/18/2019] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The 2019 Coffey-Holden Prostate Cancer Academy (CHPCA) Meeting, "Prostate Cancer Research: The Next Generation," was held 20 to 23 June, 2019, in Los Angeles, California. METHODS The CHPCA Meeting is an annual conference held by the Prostate Cancer Foundation, that is uniquely structured to stimulate intense discussion surrounding topics most critical to accelerating prostate cancer research and the discovery of new life-extending treatments for patients. The 7th Annual CHPCA Meeting was attended by 86 investigators and concentrated on many of the most promising new treatment opportunities and next-generation research technologies. RESULTS The topics of focus at the meeting included: new treatment strategies and novel agents for targeted therapies and precision medicine, new treatment strategies that may synergize with checkpoint immunotherapy, next-generation technologies that visualize tumor microenvironment (TME) and molecular pathology in situ, multi-omics and tumor heterogeneity using single cells, 3D and TME models, and the role of extracellular vesicles in cancer and their potential as biomarkers. DISCUSSION This meeting report provides a comprehensive summary of the talks and discussions held at the 2019 CHPCA Meeting, for the purpose of globally disseminating this knowledge and ultimately accelerating new treatments and diagnostics for patients with prostate cancer.
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Affiliation(s)
- Andrea K. Miyahira
- Science Department, Prostate Cancer Foundation, Santa Monica, California
| | - Adam Sharp
- Division of Clinical Studies, Institute of Cancer Research, London, UK
- Department of Medicine, The Royal Marsden NHS Foundation Trust, London, UK
| | - Leigh Ellis
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Pathology, Brigham and Womenʼs Hospital, Harvard Medical School, Boston, Massachusetts
- The Broad Institute of MIT and Harvard University, Cambridge, Massachusetts
| | - Jennifer Jones
- National Cancer Institute, Center for Cancer Research, National Institutes of Health, Bethesda, Maryland
| | - Salma Kaochar
- Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - H. Benjamin Larman
- Division of Immunology, Department of Pathology, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - David A. Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California
| | - Huihui Ye
- Department of Pathology, University of California Los Angeles, Los Angeles, California
- Department of Urology, University of California Los Angeles, Los Angeles, California
| | - Jonathan W. Simons
- Science Department, Prostate Cancer Foundation, Santa Monica, California
| | - Kenneth J. Pienta
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Urology, The James Buchanan Brady Urological Institute, Baltimore, Maryland
- Department of Pharmacology and Molecular Sciences, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Howard R. Soule
- Science Department, Prostate Cancer Foundation, Santa Monica, California
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38
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Ardeljan D, Wang X, Oghbaie M, Taylor MS, Husband D, Deshpande V, Steranka JP, Gorbounov M, Yang WR, Sie B, Larman HB, Jiang H, Molloy KR, Altukhov I, Li Z, McKerrow W, Fenyö D, Burns KH, LaCava J. LINE-1 ORF2p expression is nearly imperceptible in human cancers. Mob DNA 2019; 11:1. [PMID: 31892958 PMCID: PMC6937734 DOI: 10.1186/s13100-019-0191-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 11/22/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Long interspersed element-1 (LINE-1, L1) is the major driver of mobile DNA activity in modern humans. When expressed, LINE-1 loci produce bicistronic transcripts encoding two proteins essential for retrotransposition, ORF1p and ORF2p. Many types of human cancers are characterized by L1 promoter hypomethylation, L1 transcription, L1 ORF1p protein expression, and somatic L1 retrotransposition. ORF2p encodes the endonuclease and reverse transcriptase activities required for L1 retrotransposition. Its expression is poorly characterized in human tissues and cell lines. RESULTS We report mass spectrometry-based tumor proteome profiling studies wherein ORF2p eludes detection. To test whether ORF2p could be detected with specific reagents, we developed and validated five rabbit monoclonal antibodies with immunoreactivity for specific epitopes on the protein. These reagents readily detect ectopic ORF2p expressed from bicistronic L1 constructs. However, endogenous ORF2p is not detected in human tumor samples or cell lines by western blot, immunoprecipitation, or immunohistochemistry despite high levels of ORF1p expression. Moreover, we report endogenous ORF1p-associated interactomes, affinity isolated from colorectal cancers, wherein we similarly fail to detect ORF2p. These samples include primary tumors harboring hundreds of somatically acquired L1 insertions. The new data are available via ProteomeXchange with identifier PXD013743. CONCLUSIONS Although somatic retrotransposition provides unequivocal genetic evidence for the expression of ORF2p in human cancers, we are unable to directly measure its presence using several standard methods. Experimental systems have previously indicated an unequal stoichiometry between ORF1p and ORF2p, but in vivo, the expression of these two proteins may be more strikingly uncoupled. These findings are consistent with observations that ORF2p is not tolerable for cell growth.
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Affiliation(s)
- Daniel Ardeljan
- McKusick Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Xuya Wang
- Institute for Systems Genetics, Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016 USA
| | - Mehrnoosh Oghbaie
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, NY 10065 USA
| | - Martin S. Taylor
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA
| | - David Husband
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Vikram Deshpande
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA
| | - Jared P. Steranka
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Mikhail Gorbounov
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Wan Rou Yang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Brandon Sie
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - H. Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - Hua Jiang
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, NY 10065 USA
| | - Kelly R. Molloy
- Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, NY 10065 USA
| | - Ilya Altukhov
- Moscow Institute of Physics and Technology, Dolgoprudny, 141701 Russia
| | - Zhi Li
- Institute for Systems Genetics, Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016 USA
| | - Wilson McKerrow
- Institute for Systems Genetics, Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016 USA
| | - David Fenyö
- Institute for Systems Genetics, Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016 USA
| | - Kathleen H. Burns
- McKusick Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA
| | - John LaCava
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, NY 10065 USA
- European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, 9713 AV The Netherlands
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Mina MJ, Kula T, Leng Y, Li M, de Vries RD, Knip M, Siljander H, Rewers M, Choy DF, Wilson MS, Larman HB, Nelson AN, Griffin DE, de Swart RL, Elledge SJ. Measles virus infection diminishes preexisting antibodies that offer protection from other pathogens. Science 2019; 366:599-606. [PMID: 31672891 PMCID: PMC8590458 DOI: 10.1126/science.aay6485] [Citation(s) in RCA: 224] [Impact Index Per Article: 44.8] [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: 07/09/2019] [Accepted: 09/30/2019] [Indexed: 12/25/2022]
Abstract
Measles virus is directly responsible for more than 100,000 deaths yearly. Epidemiological studies have associated measles with increased morbidity and mortality for years after infection, but the reasons why are poorly understood. Measles virus infects immune cells, causing acute immune suppression. To identify and quantify long-term effects of measles on the immune system, we used VirScan, an assay that tracks antibodies to thousands of pathogen epitopes in blood. We studied 77 unvaccinated children before and 2 months after natural measles virus infection. Measles caused elimination of 11 to 73% of the antibody repertoire across individuals. Recovery of antibodies was detected after natural reexposure to pathogens. Notably, these immune system effects were not observed in infants vaccinated against MMR (measles, mumps, and rubella), but were confirmed in measles-infected macaques. The reduction in humoral immune memory after measles infection generates potential vulnerability to future infections, underscoring the need for widespread vaccination.
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Affiliation(s)
- Michael J Mina
- Division of Genetics, Brigham and Women's Hospital, Howard Hughes Medical Institute, Boston, MA 02115, USA.
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Tomasz Kula
- Division of Genetics, Brigham and Women's Hospital, Howard Hughes Medical Institute, Boston, MA 02115, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Yumei Leng
- Division of Genetics, Brigham and Women's Hospital, Howard Hughes Medical Institute, Boston, MA 02115, USA
| | - Mamie Li
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Rory D de Vries
- Department of Viroscience, Postgraduate School of Molecular Medicine, Erasmus MC, University Medical Centre Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Mikael Knip
- Children's Hospital, University of Helsinki and Helsinki University Hospital, 00290 Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, 00014 Helsinki, Finland
| | - Heli Siljander
- Children's Hospital, University of Helsinki and Helsinki University Hospital, 00290 Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, University of Helsinki, 00014 Helsinki, Finland
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Denver, CO 80045, USA
| | - David F Choy
- Genentech Inc., South San Francisco, CA 94080, USA
| | | | - H Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Ashley N Nelson
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Diane E Griffin
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Rik L de Swart
- Department of Viroscience, Postgraduate School of Molecular Medicine, Erasmus MC, University Medical Centre Rotterdam, 3015 CN, Rotterdam, Netherlands
| | - Stephen J Elledge
- Division of Genetics, Brigham and Women's Hospital, Howard Hughes Medical Institute, Boston, MA 02115, USA.
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Program in Virology, Harvard Medical School, Boston, MA 02115, USA
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Johnson TP, Larman HB, Lee MH, Whitehead SS, Kowalak J, Toro C, Lau CC, Kim J, Johnson KR, Reoma LB, Faustin A, Pardo CA, Kottapalli S, Howard J, Monaco D, Weisfeld-Adams J, Blackstone C, Galetta S, Snuderl M, Gahl WA, Kister I, Nath A. Chronic Dengue Virus Panencephalitis in a Patient with Progressive Dementia with Extrapyramidal Features. Ann Neurol 2019; 86:695-703. [PMID: 31461177 DOI: 10.1002/ana.25588] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 08/16/2019] [Accepted: 08/25/2019] [Indexed: 01/10/2023]
Abstract
OBJECTIVE To determine the underlying etiology in a patient with progressive dementia with extrapyramidal signs and chronic inflammation referred to the National Institutes of Health Undiagnosed Diseases Program. METHODS Extensive investigations included metabolic profile, autoantibody panel, infectious etiologies, genetic screening, whole exome sequencing, and the phage-display assay, VirScan, for viral immune responses. An etiological diagnosis was established postmortem. RESULTS Using VirScan, enrichment of dengue viral antibodies was detected in cerebrospinal fluid as compared to serum. No virus was detected in serum or cerebrospinal fluid, but postmortem analysis confirmed dengue virus in the brain by immunohistochemistry, in situ hybridization, quantitative polymerase chain reaction, and sequencing. Dengue virus was also detectable by polymerase chain reaction and sequencing from brain biopsy tissue collected 33 months antemortem, confirming a chronic infection despite a robust immune response directed against the virus. Immunoprofiling and whole exome sequencing of the patient did not reveal any immunodeficiency, and sequencing of the virus demonstrated wild-type dengue virus in the central nervous system. INTERPRETATION Dengue virus is the most common arbovirus worldwide and represents a significant public health concern. Infections with dengue virus are usually self-limiting, and chronic dengue infections have not been previously reported. Our findings suggest that dengue virus infections may persist in the central nervous system causing a panencephalitis and should be considered in patients with progressive dementia with extrapyramidal features in endemic regions or with relevant travel history. Furthermore, this work highlights the utility of comprehensive antibody profiling assays to aid in the diagnosis of encephalitis of unknown etiology. ANN NEUROL 2019;86:695-703.
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Affiliation(s)
- Tory P Johnson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - H Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Myoung-Hwa Lee
- Section of Infections of the Nervous System, Translational Neuroscience Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Stephen S Whitehead
- Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Jeffrey Kowalak
- Section of Infections of the Nervous System, Translational Neuroscience Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Camilo Toro
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - C Christopher Lau
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Juyun Kim
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kory R Johnson
- Bioinformatics Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Lauren B Reoma
- Section of Infections of the Nervous System, Translational Neuroscience Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Arline Faustin
- Department of Neurology, New York University, New York, NY
| | - Carlos A Pardo
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Sanjay Kottapalli
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Daniel Monaco
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Craig Blackstone
- Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Steven Galetta
- Department of Neurology, New York University, New York, NY
| | - Matija Snuderl
- Division of Neuropathology, Department of Pathology, New York University, New York, NY
| | - William A Gahl
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Ilya Kister
- Department of Neurology, New York University, New York, NY
| | - Avindra Nath
- Section of Infections of the Nervous System, Translational Neuroscience Center, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
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Shukor S, Tamayo A, Tosi L, Larman HB, Parekkadan B. Quantitative assessment of LASSO probe assembly and long-read multiplexed cloning. BMC Biotechnol 2019; 19:50. [PMID: 31340783 PMCID: PMC6657055 DOI: 10.1186/s12896-019-0547-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 07/11/2019] [Indexed: 12/02/2022] Open
Abstract
Background Long Adapter Single-Stranded Oligonucleotide (LASSO) probes were developed as a novel tool for massively parallel cloning of kilobase-long genomic DNA sequences. LASSO dramatically improves the capture length limit of current DNA padlock probe technology from approximately 150 bps to several kbps. High-throughput LASSO capture involves the parallel assembly of thousands of probes. However, malformed probes are indiscernible from properly formed probes using gel electrophoretic techniques. Therefore, we used next-generation sequencing (NGS) to assess the efficiency of LASSO probe assembly and how it relates to the nature of DNA capture and amplification. Additionally, we introduce a simplified single target LASSO protocol using classic molecular biology techniques for qualitative and quantitative assessment of probe specificity. Results A LASSO probe library targeting 3164 unique E. coli ORFs was assembled using two different probe assembly reaction conditions with a 40-fold difference in DNA concentration. Unique probe sequences are located within the first 50 bps of the 5′ and 3′ ends, therefore we used paired-end NGS to assess probe library quality. Properly mapped read pairs, representing correctly formed probes, accounted for 10.81 and 0.65% of total reads, corresponding to ~ 80% and ~ 20% coverage of the total probe library for the lower and higher DNA concentration conditions, respectively. Subsequently, we used single-end NGS to correlate probe assembly efficiency and capture quality. Significant enrichment of LASSO targets over non-targets was only observed for captures done using probes assembled with a lower DNA concentration. Additionally, semi-quantitative polyacrylamide gel electrophoresis revealed a ~ 10-fold signal-to-noise ratio of LASSO capture in a simplified system. Conclusions These results suggest that LASSO probe coverage for target sequences is more predictive of successful capture than probe assembly depth-enrichment. Concomitantly, these results demonstrate that DNA concentration at a critical step in the probe assembly reaction significantly impacts probe formation. Additionally, we show that a simplified LASSO capture protocol coupled to PAGE (polyacrylamide gel electrophoresis) is highly specific and more amenable to small-scale LASSO approaches, such as screening novel probes and templates. Electronic supplementary material The online version of this article (10.1186/s12896-019-0547-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Syukri Shukor
- Center for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, 51 Blossom Street, Boston, MA, 02114, USA
| | - Alfred Tamayo
- Center for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, 51 Blossom Street, Boston, MA, 02114, USA
| | - Lorenzo Tosi
- Center for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, 51 Blossom Street, Boston, MA, 02114, USA
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Biju Parekkadan
- Center for Surgery, Innovation, and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School and the Shriners Hospitals for Children, 51 Blossom Street, Boston, MA, 02114, USA. .,Harvard Stem Cell Institute, Cambridge, MA, 02138, USA. .,Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
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42
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Eshleman SH, Laeyendecker O, Kammers K, Chen A, Sivay MV, Kottapalli S, Sie BM, Yuan T, Monaco DR, Mohan D, Wansley D, Kula T, Morrison C, Elledge SJ, Brookmeyer R, Ruczinski I, Larman HB. Comprehensive Profiling of HIV Antibody Evolution. Cell Rep 2019; 27:1422-1433.e4. [PMID: 31042470 PMCID: PMC6519133 DOI: 10.1016/j.celrep.2019.03.097] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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: 10/03/2018] [Revised: 12/06/2018] [Accepted: 03/26/2019] [Indexed: 01/02/2023] Open
Abstract
This study evaluates HIV antibody responses and their evolution during the course of HIV infection. A phage display system is used to characterize antibody binding to >3,300 HIV peptides in 57 adults with early- to late-stage infection. We find that the number of unique epitopes targeted ("antibody breadth") increases early in infection and then stabilizes or declines. A decline in antibody breadth 9 months to 2 years after infection is associated with subsequent antiretroviral treatment (ART) initiation, and a faster decline in antibody breadth is associated with a shorter time to ART initiation. We identify 266 peptides with increasing antibody reactivity over time and 43 peptides with decreasing reactivity over time. These data are used to design a prototype four-peptide "serosignature" to predict duration of HIV infection. We also demonstrate that epitope engineering can be used to optimize peptide binding properties for applications such as cross-sectional HIV incidence estimation.
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Affiliation(s)
- Susan H Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Oliver Laeyendecker
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, NIH, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kai Kammers
- Division of Biostatistics and Bioinformatics, Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Athena Chen
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mariya V Sivay
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sanjay Kottapalli
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brandon M Sie
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tiezheng Yuan
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel R Monaco
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Divya Mohan
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Wansley
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tomasz Kula
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA
| | | | - Stephen J Elledge
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA
| | - Ron Brookmeyer
- Department of Biostatistics, University of California at Los Angeles, Los Angeles, CA, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - H Benjamin Larman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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43
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Mohan D, Wansley DL, Sie BM, Noon MS, Baer AN, Laserson U, Larman HB. PhIP-Seq characterization of serum antibodies using oligonucleotide-encoded peptidomes. Nat Protoc 2019; 13:1958-1978. [PMID: 30190553 DOI: 10.1038/s41596-018-0025-6] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The binding specificities of an individual's antibody repertoire contain a wealth of biological information. They harbor evidence of environmental exposures, allergies, ongoing or emerging autoimmune disease processes, and responses to immunomodulatory therapies, for example. Highly multiplexed methods to comprehensively interrogate antibody-binding specificities have therefore emerged in recent years as important molecular tools. Here, we provide a detailed protocol for performing 'phage immunoprecipitation sequencing' (PhIP-Seq), which is a powerful method for analyzing antibody-repertoire binding specificities with high throughput and at low cost. The methodology uses oligonucleotide library synthesis (OLS) to encode proteomic-scale peptide libraries for display on bacteriophage. These libraries are then immunoprecipitated, using an individual's antibodies, for subsequent analysis by high-throughput DNA sequencing. We have used PhIP-Seq to identify novel self-antigens associated with autoimmune disease, to characterize the self-reactivity of broadly neutralizing HIV antibodies, and in a large international cross-sectional study of exposure to hundreds of human viruses. Compared with alternative array-based techniques, PhIP-Seq is far more scalable in terms of sample throughput and cost per analysis. Cloning and expression of recombinant proteins are not required (versus protein microarrays), and peptide lengths are limited only by DNA synthesis chemistry (up to 90-aa (amino acid) peptides versus the typical 8- to 12-aa length limit of synthetic peptide arrays). Compared with protein microarrays, however, PhIP-Seq libraries lack discontinuous epitopes and post-translational modifications. To increase the accessibility of PhIP-Seq, we provide detailed instructions for the design of phage-displayed peptidome libraries, their immunoprecipitation using serum antibodies, deep sequencing-based measurement of peptide abundances, and statistical determination of peptide enrichments that reflect antibody-peptide interactions. Once a library has been constructed, PhIP-Seq data can be obtained for analysis within a week.
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Affiliation(s)
- Divya Mohan
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel L Wansley
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Brandon M Sie
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Muhammad S Noon
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Alan N Baer
- Division of Rheumatology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Uri Laserson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
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44
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Mohan D, Wansley DL, Sie BM, Noon MS, Baer AN, Laserson U, Larman HB. Publisher Correction: PhIP-Seq characterization of serum antibodies using oligonucleotide-encoded peptidomes. Nat Protoc 2018; 14:2596. [PMID: 30361618 DOI: 10.1038/s41596-018-0088-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The version of this paper originally published contained typesetter-introduced errors in some of the code commands, consisting of conversion of a closing backslash (\) to a forward slash (/). These errors have been corrected in the HTML and PDF versions of the protocol.
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Affiliation(s)
- Divya Mohan
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel L Wansley
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Brandon M Sie
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Muhammad S Noon
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Alan N Baer
- Division of Rheumatology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Uri Laserson
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
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45
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Credle JJ, Itoh CY, Yuan T, Sharma R, Scott ER, Workman RE, Fan Y, Housseau F, Llosa NJ, Bell WR, Miller H, Zhang SX, Timp W, Larman HB. Multiplexed analysis of fixed tissue RNA using Ligation in situ Hybridization. Nucleic Acids Res 2017; 45:e128. [PMID: 28854731 PMCID: PMC5737328 DOI: 10.1093/nar/gkx471] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 05/12/2017] [Indexed: 12/26/2022] Open
Abstract
Clinical tissues are prepared for histological analysis and long-term storage via formalin fixation and paraffin embedding (FFPE). The FFPE process results in fragmentation and chemical modification of RNA, rendering it less suitable for analysis by techniques that rely on reverse transcription (RT) such as RT-qPCR and RNA-Seq. Here we describe a broadly applicable technique called ‘Ligation in situ Hybridization’ (‘LISH’), which is an alternative methodology for the analysis of FFPE RNA. LISH utilizes the T4 RNA Ligase 2 to efficiently join adjacent chimeric RNA–DNA probe pairs hybridized in situ on fixed RNA target sequences. Subsequent treatment with RNase H releases RNA-templated ligation products into solution for downstream analysis. We demonstrate several unique advantages of LISH-based assays using patient-derived FFPE tissue. These include >100-plex capability, compatibility with common histochemical stains and suitability for analysis of decade-old materials and exceedingly small microdissected tissue fragments. High-throughput DNA sequencing modalities, including single molecule sequencing, can be used to analyze ligation products from complex panels of LISH probes (‘LISH-seq’), which can be amplified efficiently and with negligible bias. LISH analysis of FFPE RNA is a novel methodology with broad applications that range from multiplexed gene expression analysis to the sensitive detection of infectious organisms.
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Affiliation(s)
- Joel J Credle
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Christopher Y Itoh
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Tiezheng Yuan
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Rajni Sharma
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Erick R Scott
- Department of Genetics & Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10078, USA
| | - Rachael E Workman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Yunfan Fan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Franck Housseau
- Sidney Kimmel Comprehensive Cancer Center, Department of Oncology, and the Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nicolas J Llosa
- Sidney Kimmel Comprehensive Cancer Center, Department of Oncology, and the Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - W Robert Bell
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Heather Miller
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Sean X Zhang
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.,Microbiology Laboratory, Johns Hopkins Hospital, Johns Hopkins Medical Institutes, Baltimore, MD 21287, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
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46
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Liu T, Jia P, Ma H, Reed SA, Luo X, Larman HB, Schultz PG. Construction and Screening of a Lentiviral Secretome Library. Cell Chem Biol 2017; 24:767-771.e3. [PMID: 28602759 DOI: 10.1016/j.chembiol.2017.05.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [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: 12/31/2016] [Revised: 04/11/2017] [Accepted: 05/15/2017] [Indexed: 12/22/2022]
Abstract
Over 2,000 human proteins are predicted to be secreted, but the biological function of the many of these proteins is still unknown. Moreover, a number of these proteins may act as new therapeutic agents or be targets for the development of therapeutic antibodies. To further explore the extracellular proteome, we have developed a secretome-enriched open reading frame (ORF) library that can be readily screened for autocrine activity in cell-based phenotypic or reporter assays. Next-generation sequencing (NGS) and database analysis predict that the library contains approximately 900 ORFs encoding known secreted proteins (accounting for 77.8% of the library), as well as genes encoding potentially unknown secreted proteins. In a proof-of-principle study, human TF-1 cells were screened for proliferative factors, and the known cytokine GMCSF was identified as a dominant hit. This library offers a relatively low-cost and straightforward approach for functional autocrine screens of secreted proteins.
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Affiliation(s)
- Tao Liu
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China.
| | - Panpan Jia
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Huailei Ma
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Sean A Reed
- Department of Chemistry and the Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Xiaozhou Luo
- Department of Chemistry and the Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Peter G Schultz
- Department of Chemistry and the Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
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Caturegli P, Di Dalmazi G, Lombardi M, Grosso F, Larman HB, Larman T, Taverna G, Cosottini M, Lupi I. Hypophysitis Secondary to Cytotoxic T-Lymphocyte-Associated Protein 4 Blockade: Insights into Pathogenesis from an Autopsy Series. Am J Pathol 2016; 186:3225-3235. [PMID: 27750046 PMCID: PMC5225294 DOI: 10.1016/j.ajpath.2016.08.020] [Citation(s) in RCA: 230] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Revised: 08/08/2016] [Accepted: 08/10/2016] [Indexed: 12/19/2022]
Abstract
Hypophysitis that develops in cancer patients treated with monoclonal antibodies blocking cytotoxic T-lymphocyte-associated protein 4 (CTLA-4; an inhibitory molecule classically expressed on T cells) is now reported at an incidence of approximately 10%. Its pathogenesis is unknown, in part because no pathologic examination of the pituitary gland has been reported to date. We analyzed at autopsy the pituitary glands of six cancer patients treated with CTLA-4 blockade, one with clinical and pathologic evidence of hypophysitis, one with mild lymphocytic infiltration in the pituitary gland but no clinical signs of hypophysitis, and four with normal pituitary structure and function. CTLA-4 antigen was expressed by pituitary endocrine cells in all patients but at different levels. The highest levels were found in the patient who had clinical and pathologic evidence of severe hypophysitis. This high pituitary CTLA-4 expression was associated with T-cell infiltration and IgG-dependent complement fixation and phagocytosis, immune reactions that induced an extensive destruction of the adenohypophyseal architecture. Pituitary CTLA-4 expression was confirmed in a validation group of 37 surgical pituitary adenomas and 11 normal pituitary glands. The study suggests that administration of CTLA-4 blocking antibodies to patients who express high levels of CTLA-4 antigen in the pituitary can cause an aggressive (necrotizing) form of hypophysitis through type IV (T-cell dependent) and type II (IgG dependent) immune mechanisms.
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Affiliation(s)
- Patrizio Caturegli
- Division of Immunology, Department of Pathology, The Johns Hopkins School of Medicine, Baltimore, Maryland.
| | - Giulia Di Dalmazi
- Division of Immunology, Department of Pathology, The Johns Hopkins School of Medicine, Baltimore, Maryland; Department of Medicine, G. D'Annunzio University of Chieti, Chieti, Italy
| | - Martina Lombardi
- Endocrinology Unit, Saints Anthony and Biagio, and Cesare Arrigo Hospital, Alessandria, Italy; Oncology Center, Saints Anthony and Biagio, and Cesare Arrigo Hospital, Alessandria, Italy
| | - Federica Grosso
- Oncology Center, Saints Anthony and Biagio, and Cesare Arrigo Hospital, Alessandria, Italy
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Tatianna Larman
- Division of Immunology, Department of Pathology, The Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Giacomo Taverna
- Department of Radiology, Mesothelioma Unit, Saint Spirit Hospital, Casale Monferrato, Italy
| | - Mirco Cosottini
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Isabella Lupi
- Department of Endocrinology, University of Pisa, Pisa, Italy
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Xu GJ, Kula T, Xu Q, Li MZ, Vernon SD, Ndung'u T, Ruxrungtham K, Sanchez J, Brander C, Chung RT, O'Connor KC, Walker B, Larman HB, Elledge SJ. Viral immunology. Comprehensive serological profiling of human populations using a synthetic human virome. Science 2015; 348:aaa0698. [PMID: 26045439 DOI: 10.1126/science.aaa0698] [Citation(s) in RCA: 302] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The human virome plays important roles in health and immunity. However, current methods for detecting viral infections and antiviral responses have limited throughput and coverage. Here, we present VirScan, a high-throughput method to comprehensively analyze antiviral antibodies using immunoprecipitation and massively parallel DNA sequencing of a bacteriophage library displaying proteome-wide peptides from all human viruses. We assayed over 10(8) antibody-peptide interactions in 569 humans across four continents, nearly doubling the number of previously established viral epitopes. We detected antibodies to an average of 10 viral species per person and 84 species in at least two individuals. Although rates of specific virus exposure were heterogeneous across populations, antibody responses targeted strongly conserved "public epitopes" for each virus, suggesting that they may elicit highly similar antibodies. VirScan is a powerful approach for studying interactions between the virome and the immune system.
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Affiliation(s)
- George J Xu
- Program in Biophysics, Harvard University, Cambridge, MA 02115, USA. Harvard-Massachusetts Institute of Technology (MIT) Division of Health Sciences and Technology, Cambridge, MA 02139, USA. Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA. Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA
| | - Tomasz Kula
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA. Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02115, USA
| | - Qikai Xu
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA. Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA
| | - Mamie Z Li
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA. Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA
| | | | - Thumbi Ndung'u
- KwaZulu-Natal Research Institute for Tuberculosis and HIV, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa. HIV Pathogenesis Programme, Doris Duke Medical Research Institute, Nelson R. Mandela School of Medicine, Durban, South Africa. Ragon Institute of Massachusetts General Hospital, MIT, and Harvard University, Cambridge, MA 02139, USA. Max Planck Institute for Infection Biology, Chariteplatz, D-10117 Berlin, Germany
| | - Kiat Ruxrungtham
- Vaccine and Cellular Immunology Laboratory, Department of Medicine, Faculty of Medicine; and Chula-Vaccine Research Center, Chulalongkorn University, Bangkok, Thailand
| | - Jorge Sanchez
- Asociación Civil IMPACTA Salud y Educación, Lima, Peru
| | - Christian Brander
- AIDS Research Institute-IrsiCaixa and AIDS Unit, Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Raymond T Chung
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Kevin C O'Connor
- Department of Neurology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Bruce Walker
- HIV Pathogenesis Programme, Doris Duke Medical Research Institute, Nelson R. Mandela School of Medicine, Durban, South Africa. Ragon Institute of Massachusetts General Hospital, MIT, and Harvard University, Cambridge, MA 02139, USA
| | - H Benjamin Larman
- Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Stephen J Elledge
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA. Department of Genetics, Harvard University Medical School, Boston, MA 02115, USA. Solve ME/CFS Initiative, Los Angeles, CA 90036, USA.
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49
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Finton KAK, Friend D, Jaffe J, Gewe M, Holmes MA, Larman HB, Stuart A, Larimore K, Greenberg PD, Elledge SJ, Stamatatos L, Strong RK. Ontogeny of recognition specificity and functionality for the broadly neutralizing anti-HIV antibody 4E10. PLoS Pathog 2014; 10:e1004403. [PMID: 25254371 PMCID: PMC4177983 DOI: 10.1371/journal.ppat.1004403] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [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: 02/05/2014] [Accepted: 08/16/2014] [Indexed: 01/07/2023] Open
Abstract
The process of antibody ontogeny typically improves affinity, on-rate, and thermostability, narrows polyspecificity, and rigidifies the combining site to the conformer optimal for binding from the broader ensemble accessible to the precursor. However, many broadly-neutralizing anti-HIV antibodies incorporate unusual structural elements and recognition specificities or properties that often lead to autoreactivity. The ontogeny of 4E10, an autoreactive antibody with unexpected combining site flexibility, was delineated through structural and biophysical comparisons of the mature antibody with multiple potential precursors. 4E10 gained affinity primarily by off-rate enhancement through a small number of mutations to a highly conserved recognition surface. Controverting the conventional paradigm, the combining site gained flexibility and autoreactivity during ontogeny, while losing thermostability, though polyspecificity was unaffected. Details of the recognition mechanism, including inferred global effects due to 4E10 binding, suggest that neutralization by 4E10 may involve mechanisms beyond simply binding, also requiring the ability of the antibody to induce conformational changes distant from its binding site. 4E10 is, therefore, unlikely to be re-elicited by conventional vaccination strategies.
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Affiliation(s)
- Kathryn A. K. Finton
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Della Friend
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - James Jaffe
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Mesfin Gewe
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Margaret A. Holmes
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - H. Benjamin Larman
- Department of Genetics, Harvard University Medical School, and Division of Genetics, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Andrew Stuart
- Seattle Biomedical Research Institute, Seattle, Washington, United States of America
| | - Kevin Larimore
- Department of Immunology, University of Washington, Seattle, Washington, United States of America
| | - Philip D. Greenberg
- Department of Immunology, University of Washington, Seattle, Washington, United States of America
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Program in Immunology, Cancer Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Stephen J. Elledge
- Department of Genetics, Harvard University Medical School, and Division of Genetics, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
| | - Leonidas Stamatatos
- Seattle Biomedical Research Institute, Seattle, Washington, United States of America
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
| | - Roland K. Strong
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail:
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50
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Larman HB, Scott ER, Wogan M, Oliveira G, Torkamani A, Schultz PG. Sensitive, multiplex and direct quantification of RNA sequences using a modified RASL assay. Nucleic Acids Res 2014; 42:9146-57. [PMID: 25063296 PMCID: PMC4132746 DOI: 10.1093/nar/gku636] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
UNLABELLED A sensitive and highly multiplex method to directly measure RNA sequence abundance without requiring reverse transcription would be of value for a number of biomedical applications, including high throughput small molecule screening, pathogen transcript detection and quantification of short/degraded RNAs. R NA A nnealing, S: election and L: igation (RASL) assays, which are based on RNA template-dependent oligonucleotide probe ligation, have been developed to meet this need, but technical limitations have impeded their adoption. Whereas DNA ligase-based RASL assays suffer from extremely low and sequence-dependent ligation efficiencies that compromise assay robustness, Rnl2 can join a fully DNA donor probe to a 3'-diribonucleotide-terminated acceptor probe with high efficiency on an RNA template strand. Rnl2-based RASL exhibits sub-femtomolar transcript detection sensitivity, and permits the rational tuning of probe signals for optimal analysis by massively parallel DNA sequencing (RASL-seq). A streamlined Rnl2-based RASL-seq protocol was assessed in a small molecule screen using 77 probe sets designed to monitor complex human B cell phenotypes during antibody class switch recombination. Our data demonstrate the robustness, cost-efficiency and broad applicability of Rnl2-based RASL assays.
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Affiliation(s)
- H Benjamin Larman
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA California Institute for Biomedical Research (Calibr), La Jolla, CA 92307, USA
| | - Erick R Scott
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA The Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Megan Wogan
- California Institute for Biomedical Research (Calibr), La Jolla, CA 92307, USA
| | - Glenn Oliveira
- The Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ali Torkamani
- The Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA 92037, USA Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Peter G Schultz
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA California Institute for Biomedical Research (Calibr), La Jolla, CA 92307, USA
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