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Kang HM, Subramaniam M, Targ S, Nguyen M, Maliskova L, McCarthy E, Wan E, Wong S, Byrnes L, Lanata CM, Gate RE, Mostafavi S, Marson A, Zaitlen N, Criswell LA, Ye CJ. Author Correction: Multiplexed droplet single-cell RNA-sequencing using natural genetic variation. Nat Biotechnol 2020; 38:1356. [PMID: 33057163 DOI: 10.1038/s41587-020-0715-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Affiliation(s)
- Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
| | - Meena Subramaniam
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, California, USA.,Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA.,Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Sasha Targ
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, California, USA.,Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA.,Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA.,Medical Scientist Training Program (MSTP), University of California, San Francisco, San Francisco, California, USA
| | - Michelle Nguyen
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA.,Diabetes Center, University of California, San Francisco, San Francisco, California, USA.,Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
| | - Lenka Maliskova
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA.,Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Elizabeth McCarthy
- Medical Scientist Training Program (MSTP), University of California, San Francisco, San Francisco, California, USA
| | - Eunice Wan
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
| | - Simon Wong
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
| | - Lauren Byrnes
- Developmental and Stem Cell Biology Graduate Program, University of California, San Francisco, San Francisco, California, USA
| | - Cristina M Lanata
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Rosalind Russell/Ephraim P Engleman Rheumatology Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Rachel E Gate
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, California, USA.,Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA.,Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Sara Mostafavi
- Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Marson
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA.,Diabetes Center, University of California, San Francisco, San Francisco, California, USA.,Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA.,Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA.,Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Noah Zaitlen
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA.,Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Lung Biology Center, University of California, San Francisco, San Francisco, California, USA
| | - Lindsey A Criswell
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA.,Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Rosalind Russell/Ephraim P Engleman Rheumatology Research Center, University of California, San Francisco, San Francisco, California, USA.,Department of Orofacial Sciences, University of California, San Francisco, San Francisco, USA
| | - Chun Jimmie Ye
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA. .,Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA. .,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA. .,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA.
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Ye CJ, Chen J, Villani AC, Gate RE, Subramaniam M, Bhangale T, Lee MN, Raj T, Raychowdhury R, Li W, Rogel N, Simmons S, Imboywa SH, Chipendo PI, McCabe C, Lee MH, Frohlich IY, Stranger BE, De Jager PL, Regev A, Behrens T, Hacohen N. Genetic analysis of isoform usage in the human anti-viral response reveals influenza-specific regulation of ERAP2 transcripts under balancing selection. Genome Res 2018; 28:1812-1825. [PMID: 30446528 PMCID: PMC6280757 DOI: 10.1101/gr.240390.118] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [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: 06/08/2018] [Accepted: 10/09/2018] [Indexed: 02/02/2023]
Abstract
While genetic variants are known to be associated with overall gene abundance in stimulated immune cells, less is known about their effects on alternative isoform usage. By analyzing RNA-seq profiles of monocyte-derived dendritic cells from 243 individuals, we uncovered thousands of unannotated isoforms synthesized in response to influenza infection and type 1 interferon stimulation. We identified more than a thousand quantitative trait loci (QTLs) associated with alternate isoform usage (isoQTLs), many of which are independent of expression QTLs (eQTLs) for the same gene. Compared with eQTLs, isoQTLs are enriched for splice sites and untranslated regions, but depleted of sequences upstream of annotated transcription start sites. Both eQTLs and isoQTLs explain a significant proportion of the disease heritability attributed to common genetic variants. At the ERAP2 locus, we shed light on the function of the gene and how two frequent, highly differentiated haplotypes with intermediate frequencies could be maintained by balancing selection. At baseline and following type 1 interferon stimulation, the major haplotype is associated with low ERAP2 expression caused by nonsense-mediated decay, while the minor haplotype, known to increase Crohn's disease risk, is associated with high ERAP2 expression. In response to influenza infection, we found two uncharacterized isoforms expressed from the major haplotype, likely the result of multiple perfectly linked variants affecting the transcription and splicing at the locus. Thus, genetic variants at a single locus could modulate independent gene regulatory processes in innate immune responses and, in the case of ERAP2, may confer a historical fitness advantage in response to virus.
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Affiliation(s)
- Chun Jimmie Ye
- Institute for Human Genetics, Institute for Health and Computational Sciences, Department of Biostatistics and Epidemiology, Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California 94143, USA
| | - Jenny Chen
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Alexandra-Chloé Villani
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts 02114, USA
| | - Rachel E Gate
- Institute for Human Genetics, Institute for Health and Computational Sciences, Department of Biostatistics and Epidemiology, Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California 94143, USA.,Biomedical Informatics Program, University of California, San Francisco, California 94143, USA
| | - Meena Subramaniam
- Institute for Human Genetics, Institute for Health and Computational Sciences, Department of Biostatistics and Epidemiology, Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California 94143, USA.,Biomedical Informatics Program, University of California, San Francisco, California 94143, USA
| | - Tushar Bhangale
- Genentech Incorporated, South San Francisco, California 94080, USA
| | - Mark N Lee
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts 02114, USA.,Harvard Medical School, Boston, Massachusetts 02116, USA
| | - Towfique Raj
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Harvard Medical School, Boston, Massachusetts 02116, USA.,Departments of Neurology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | | | - Weibo Li
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Noga Rogel
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | - Sean Simmons
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
| | | | | | - Cristin McCabe
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Departments of Neurology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | - Michelle H Lee
- Harvard Medical School, Boston, Massachusetts 02116, USA
| | | | - Barbara E Stranger
- Section of Genetic Medicine, Department of Medicine, Institute for Genomics and Systems Biology, Center for Data Intensive Science, The University of Chicago, Chicago, Illinois 60637, USA
| | - Philip L De Jager
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Harvard Medical School, Boston, Massachusetts 02116, USA.,Departments of Neurology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | - Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.,Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA
| | - Tim Behrens
- Genentech Incorporated, South San Francisco, California 94080, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.,Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts 02114, USA
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3
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Simeonov DR, Gowen BG, Boontanrart M, Roth TL, Gagnon JD, Mumbach MR, Satpathy AT, Lee Y, Bray NL, Chan AY, Lituiev DS, Nguyen ML, Gate RE, Subramaniam M, Li Z, Woo JM, Mitros T, Ray GJ, Curie GL, Naddaf N, Chu JS, Ma H, Boyer E, Van Gool F, Huang H, Liu R, Tobin VR, Schumann K, Daly MJ, Farh KK, Ansel KM, Ye CJ, Greenleaf WJ, Anderson MS, Bluestone JA, Chang HY, Corn JE, Marson A. Author Correction: Discovery of stimulation-responsive immune enhancers with CRISPR activation. Nature 2018; 559:E13. [PMID: 29899441 DOI: 10.1038/s41586-018-0227-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
In this Letter, analysis of steady-state regulatory T (Treg) cell percentages from Il2ra enhancer deletion (EDEL) and wild-type (WT) mice revealed no differences between them (Extended Data Fig. 9d). This analysis included two mice whose genotypes were incorrectly assigned. Even after correction of the genotypes, no significant differences in Treg cell percentages were seen when data across experimental cohorts were averaged (as was done in Extended Data Fig. 9d). However, if we normalize the corrected data to account for variation among experimental cohorts, a subtle decrease in EDEL Treg cell percentages is revealed and, using the corrected and normalized data, we have redrawn Extended Data Fig. 9d in Supplementary Fig. 1. The Supplementary Information to this Amendment contains the corrected and reanalysed Extended Data Fig. 9d. The sentence "This enhancer deletion (EDEL) strain also had no obvious T cell phenotypes at steady state (Extended Data Fig. 9)." should read: "This enhancer deletion (EDEL) strain had a small decrease in the percentage of Treg cells (Extended Data Fig. 9).". This error does not affect any of the main figures in the Letter or the data from mice with the human autoimmune-associated single nucleotide polymorphism (SNP) knocked in or with a 12-base-pair deletion at the site (12DEL). In addition, we stated in the Methods that we observed consistent immunophenotypes of EDEL mice across three founders, but in fact, we observed consistent phenotypes in mice from two founders. This does not change any of our conclusions and the original Letter has not been corrected.
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Affiliation(s)
- Dimitre R Simeonov
- Biomedical Sciences Graduate Program, University of California, San Francisco, California, 94143, USA.,Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Benjamin G Gowen
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Mandy Boontanrart
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Theodore L Roth
- Biomedical Sciences Graduate Program, University of California, San Francisco, California, 94143, USA.,Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - John D Gagnon
- Biomedical Sciences Graduate Program, University of California, San Francisco, California, 94143, USA.,Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Sandler Asthma Basic Research Center, University of California, San Francisco, California, 94143, USA
| | - Maxwell R Mumbach
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, 94305, USA.,Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, 94305, USA
| | - Ansuman T Satpathy
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, 94305, USA
| | - Youjin Lee
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Nicolas L Bray
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Alice Y Chan
- Diabetes Center, University of California, San Francisco, California, 94143, USA.,Department of Pediatrics, University of California, San Francisco, California, 94143, USA
| | - Dmytro S Lituiev
- Department of Epidemiology and Biostatistics, Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics (IHG), University of California, San Francisco, California, 94143, USA
| | - Michelle L Nguyen
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Rachel E Gate
- Department of Epidemiology and Biostatistics, Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics (IHG), University of California, San Francisco, California, 94143, USA.,Biological and Medical Informatics Graduate Program, University of California, San Francisco, California, 94158, USA
| | - Meena Subramaniam
- Department of Epidemiology and Biostatistics, Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics (IHG), University of California, San Francisco, California, 94143, USA.,Biological and Medical Informatics Graduate Program, University of California, San Francisco, California, 94158, USA
| | - Zhongmei Li
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Jonathan M Woo
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Therese Mitros
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Graham J Ray
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Gemma L Curie
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Nicki Naddaf
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Julia S Chu
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Hong Ma
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA
| | - Eric Boyer
- Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Frederic Van Gool
- Diabetes Center, University of California, San Francisco, California, 94143, USA
| | - Hailiang Huang
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, 02142, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Ruize Liu
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, 02142, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Victoria R Tobin
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Kathrin Schumann
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Diabetes Center, University of California, San Francisco, California, 94143, USA.,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA
| | - Mark J Daly
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, 02142, USA.,Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Kyle K Farh
- Illumina Inc., 5200 Illumina Way, San Diego, California, 92122, USA
| | - K Mark Ansel
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA.,Sandler Asthma Basic Research Center, University of California, San Francisco, California, 94143, USA
| | - Chun J Ye
- Department of Epidemiology and Biostatistics, Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics (IHG), University of California, San Francisco, California, 94143, USA
| | - William J Greenleaf
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, 94305, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, California, 94305, USA.,Department of Applied Physics, Stanford University, Stanford, California, 94025, USA.,Chan Zuckerberg Biohub, San Francisco, California, 94158, USA
| | - Mark S Anderson
- Diabetes Center, University of California, San Francisco, California, 94143, USA.,Department of Medicine, University of California, San Francisco, California, 94143, USA
| | - Jeffrey A Bluestone
- Diabetes Center, University of California, San Francisco, California, 94143, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, 94305, USA.,Program in Epithelial Biology, Stanford University School of Medicine, Stanford, California, 94305, USA
| | - Jacob E Corn
- Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA. .,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, 94720, USA.
| | - Alexander Marson
- Department of Microbiology and Immunology, University of California, San Francisco, California, 94143, USA. .,Diabetes Center, University of California, San Francisco, California, 94143, USA. .,Innovative Genomics Institute, University of California, Berkeley, California, 94720, USA. .,Chan Zuckerberg Biohub, San Francisco, California, 94158, USA. .,Department of Medicine, University of California, San Francisco, California, 94143, USA. .,UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, 94158, USA.
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4
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Chang A, Abderemane-Ali F, Hura GL, Rossen ND, Gate RE, Minor DL. A Calmodulin C-Lobe Ca 2+-Dependent Switch Governs Kv7 Channel Function. Neuron 2018; 97:836-852.e6. [PMID: 29429937 DOI: 10.1016/j.neuron.2018.01.035] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 12/07/2017] [Accepted: 01/12/2018] [Indexed: 12/22/2022]
Abstract
Kv7 (KCNQ) voltage-gated potassium channels control excitability in the brain, heart, and ear. Calmodulin (CaM) is crucial for Kv7 function, but how this calcium sensor affects activity has remained unclear. Here, we present X-ray crystallographic analysis of CaM:Kv7.4 and CaM:Kv7.5 AB domain complexes that reveal an Apo/CaM clamp conformation and calcium binding preferences. These structures, combined with small-angle X-ray scattering, biochemical, and functional studies, establish a regulatory mechanism for Kv7 CaM modulation based on a common architecture in which a CaM C-lobe calcium-dependent switch releases a shared Apo/CaM clamp conformation. This C-lobe switch inhibits voltage-dependent activation of Kv7.4 and Kv7.5 but facilitates Kv7.1, demonstrating that mechanism is shared by Kv7 isoforms despite the different directions of CaM modulation. Our findings provide a unified framework for understanding how CaM controls different Kv7 isoforms and highlight the role of membrane proximal domains for controlling voltage-gated channel function. VIDEO ABSTRACT.
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Affiliation(s)
- Aram Chang
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158, USA
| | - Fayal Abderemane-Ali
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158, USA
| | - Greg L Hura
- Molecular Biophysics and Integrated Bio-imaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Nathan D Rossen
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158, USA
| | - Rachel E Gate
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158, USA
| | - Daniel L Minor
- Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158, USA; Molecular Biophysics and Integrated Bio-imaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Departments of Biochemistry and Biophysics, and Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California San Francisco, San Francisco, CA 94158, USA.
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5
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Kang HM, Subramaniam M, Targ S, Nguyen M, Maliskova L, McCarthy E, Wan E, Wong S, Byrnes L, Lanata CM, Gate RE, Mostafavi S, Marson A, Zaitlen N, Criswell LA, Ye CJ. Multiplexed droplet single-cell RNA-sequencing using natural genetic variation. Nat Biotechnol 2018; 36:89-94. [PMID: 29227470 PMCID: PMC5784859 DOI: 10.1038/nbt.4042] [Citation(s) in RCA: 483] [Impact Index Per Article: 80.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 11/16/2017] [Indexed: 12/25/2022]
Abstract
Droplet single-cell RNA-sequencing (dscRNA-seq) has enabled rapid, massively parallel profiling of transcriptomes. However, assessing differential expression across multiple individuals has been hampered by inefficient sample processing and technical batch effects. Here we describe a computational tool, demuxlet, that harnesses natural genetic variation to determine the sample identity of each droplet containing a single cell (singlet) and detect droplets containing two cells (doublets). These capabilities enable multiplexed dscRNA-seq experiments in which cells from unrelated individuals are pooled and captured at higher throughput than in standard workflows. Using simulated data, we show that 50 single-nucleotide polymorphisms (SNPs) per cell are sufficient to assign 97% of singlets and identify 92% of doublets in pools of up to 64 individuals. Given genotyping data for each of eight pooled samples, demuxlet correctly recovers the sample identity of >99% of singlets and identifies doublets at rates consistent with previous estimates. We apply demuxlet to assess cell-type-specific changes in gene expression in 8 pooled lupus patient samples treated with interferon (IFN)-β and perform eQTL analysis on 23 pooled samples.
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Affiliation(s)
- Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Meena Subramaniam
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, California, USA
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
- Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Sasha Targ
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, California, USA
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
- Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
- Medical Scientist Training Program (MSTP), University of California, San Francisco, San Francisco, California, USA
| | - Michelle Nguyen
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA
- Diabetes Center, University of California, San Francisco, San Francisco, California, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
| | - Lenka Maliskova
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Elizabeth McCarthy
- Medical Scientist Training Program (MSTP), University of California, San Francisco, San Francisco, California, USA
| | - Eunice Wan
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
| | - Simon Wong
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
| | - Lauren Byrnes
- Developmental and Stem Cell Biology Graduate Program, University of California, San Francisco, San Francisco, California, USA
| | - Cristina M Lanata
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Rosalind Russell/Ephraim P Engleman Rheumatology Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Rachel E Gate
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, California, USA
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
- Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Sara Mostafavi
- Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alexander Marson
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, California, USA
- Diabetes Center, University of California, San Francisco, San Francisco, California, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, California, USA
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Noah Zaitlen
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Lung Biology Center, University of California, San Francisco, San Francisco, California, USA
| | - Lindsey A Criswell
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
- Rosalind Russell/Ephraim P Engleman Rheumatology Research Center, University of California, San Francisco, San Francisco, California, USA
- Department of Orofacial Sciences, University of California, San Francisco, San Francisco, USA
| | - Chun Jimmie Ye
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, California, USA
- Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA
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6
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Van Dyken SJ, Nussbaum JC, Lee J, Molofsky AB, Liang HE, Pollack JL, Gate RE, Haliburton GE, Ye CJ, Marson A, Erle DJ, Locksley RM. A tissue checkpoint regulates type 2 immunity. Nat Immunol 2016; 17:1381-1387. [PMID: 27749840 PMCID: PMC5275767 DOI: 10.1038/ni.3582] [Citation(s) in RCA: 169] [Impact Index Per Article: 21.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 08/25/2016] [Indexed: 12/14/2022]
Abstract
Group 2 innate lymphoid cells (ILC2s) and CD4+ type 2 helper T cells (TH2 cells) are defined by their similar effector cytokines, which together mediate the features of allergic immunity. We found that tissue ILC2s and TH2 cells differentiated independently but shared overlapping effector function programs that were mediated by exposure to the tissue-derived cytokines interleukin 25 (IL-25), IL-33 and thymic stromal lymphopoietin (TSLP). Loss of these three tissue signals did not affect lymph node priming, but abrogated the terminal differentiation of effector TH2 cells and adaptive lung inflammation in a T cell-intrinsic manner. Our findings suggest a mechanism by which diverse perturbations can activate type 2 immunity and reveal a shared local-tissue-elicited checkpoint that can be exploited to control both innate and adaptive allergic inflammation.
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Affiliation(s)
- Steven J Van Dyken
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Jesse C Nussbaum
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Jinwoo Lee
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Ari B Molofsky
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Hong-Erh Liang
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Joshua L Pollack
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Lung Biology Center, University of California, San Francisco, San Francisco, California, USA
| | - Rachel E Gate
- Department of Epidemiology and Biostatistics, Institute for Human Genetics, University of California, San Francisco, San Francisco, California, USA
| | - Genevieve E Haliburton
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Diabetes Center, University of California, San Francisco, San Francisco, California, USA
| | - Chun J Ye
- Department of Epidemiology and Biostatistics, Institute for Human Genetics, University of California, San Francisco, San Francisco, California, USA
| | - Alexander Marson
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Diabetes Center, University of California, San Francisco, San Francisco, California, USA.,Innovative Genomics Initiative (IGI), University of California, Berkeley, Berkeley, California, USA.,UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - David J Erle
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,Lung Biology Center, University of California, San Francisco, San Francisco, California, USA
| | - Richard M Locksley
- Department of Medicine, University of California, San Francisco, San Francisco, California, USA.,UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA.,Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, California, USA
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7
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Mavor D, Barlow K, Thompson S, Barad BA, Bonny AR, Cario CL, Gaskins G, Liu Z, Deming L, Axen SD, Caceres E, Chen W, Cuesta A, Gate RE, Green EM, Hulce KR, Ji W, Kenner LR, Mensa B, Morinishi LS, Moss SM, Mravic M, Muir RK, Niekamp S, Nnadi CI, Palovcak E, Poss EM, Ross TD, Salcedo EC, See SK, Subramaniam M, Wong AW, Li J, Thorn KS, Conchúir SÓ, Roscoe BP, Chow ED, DeRisi JL, Kortemme T, Bolon DN, Fraser JS. Determination of ubiquitin fitness landscapes under different chemical stresses in a classroom setting. eLife 2016; 5. [PMID: 27111525 PMCID: PMC4862753 DOI: 10.7554/elife.15802] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [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: 03/05/2016] [Accepted: 04/06/2016] [Indexed: 12/31/2022] Open
Abstract
Ubiquitin is essential for eukaryotic life and varies in only 3 amino acid positions between yeast and humans. However, recent deep sequencing studies indicate that ubiquitin is highly tolerant to single mutations. We hypothesized that this tolerance would be reduced by chemically induced physiologic perturbations. To test this hypothesis, a class of first year UCSF graduate students employed deep mutational scanning to determine the fitness landscape of all possible single residue mutations in the presence of five different small molecule perturbations. These perturbations uncover 'shared sensitized positions' localized to areas around the hydrophobic patch and the C-terminus. In addition, we identified perturbation specific effects such as a sensitization of His68 in HU and a tolerance to mutation at Lys63 in DTT. Our data show how chemical stresses can reduce buffering effects in the ubiquitin proteasome system. Finally, this study demonstrates the potential of lab-based interdisciplinary graduate curriculum. DOI:http://dx.doi.org/10.7554/eLife.15802.001 The ability of an organism to grow and reproduce, that is, it’s “fitness”, is determined by how its genes interact with the environment. Yeast is a model organism in which researchers can control the exact mutations present in the yeast’s genes (its genotype) and the conditions in which the yeast cells live (their environment). This allows researchers to measure how a yeast cell’s genotype and environment affect its fitness. Ubiquitin is a protein that many organisms depend on to manage cell stress by acting as a tag that targets other proteins for degradation. Essential proteins such as ubiquitin often remain unchanged by mutation over long periods of time. As a result, these proteins evolve very slowly. Like all proteins, ubiquitin is built from a chain of amino acid molecules linked together, and the ubiquitin proteins of yeast and humans are made of almost identical sequences of amino acids. Although ubiquitin has barely changed its sequence over evolution, previous studies have shown that – under normal growth conditions in the laboratory – most amino acids in ubiquitin can be mutated without any loss of cell fitness. This led Mavor et al. to hypothesize that treating the yeast cells with chemicals that cause cell stress might lead to amino acids in ubiquitin becoming more sensitive to mutation. To test this idea, a class of graduate students at the University of California, San Francisco grew yeast cells with different ubiquitin mutations together, and with different chemicals that induce cell stress, and measured their growth rates. Sequencing the ubiquitin gene in the thousands of tested yeast cells revealed that three of the chemicals cause a shared set of amino acids in ubiquitin to become more sensitive to mutation. This result suggests that these amino acids are important for the stress response, possibly by altering the ability of yeast cells to target certain proteins for degradation. Conversely, another chemical causes yeast to become more tolerant to changes in the ubiquitin sequence. The experiments also link changes in particular amino acids in ubiquitin to specific stress responses. Mavor et al. show that many of ubquitin’s amino acids are sensitive to mutation under different stress conditions, while others can be mutated to form different amino acids without effecting fitness. By testing the effects of other chemicals, future experiments could further characterize how the yeast’s genotype and environment interact. DOI:http://dx.doi.org/10.7554/eLife.15802.002
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Affiliation(s)
- David Mavor
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Kyle Barlow
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Samuel Thompson
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Benjamin A Barad
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Alain R Bonny
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Clinton L Cario
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Garrett Gaskins
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Zairan Liu
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Laura Deming
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States
| | - Seth D Axen
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Elena Caceres
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Weilin Chen
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Adolfo Cuesta
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Rachel E Gate
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Evan M Green
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Kaitlin R Hulce
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Weiyue Ji
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Lillian R Kenner
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Bruk Mensa
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Leanna S Morinishi
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Steven M Moss
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Marco Mravic
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Ryan K Muir
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Stefan Niekamp
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Chimno I Nnadi
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Eugene Palovcak
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Erin M Poss
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Tyler D Ross
- Biophysics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Eugenia C Salcedo
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Stephanie K See
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Meena Subramaniam
- Bioinformatics Graduate Group, University of California, San Francisco, San Francisco, United States
| | - Allison W Wong
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, San Francisco, United States
| | - Jennifer Li
- UCSF Science and Health Education Partnership, University of California, San Francisco, San Francisco, United States
| | - Kurt S Thorn
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States
| | - Shane Ó Conchúir
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biology, University of California, San Francisco, San Francisco, United States
| | - Benjamin P Roscoe
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, United States
| | - Eric D Chow
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.,Center for Advanced Technology, University of California, San Francisco, San Francisco, United States
| | - Joseph L DeRisi
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States.,Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States
| | - Tanja Kortemme
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biology, University of California, San Francisco, San Francisco, United States
| | - Daniel N Bolon
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, United States
| | - James S Fraser
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biology, University of California, San Francisco, San Francisco, United States
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8
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Martinolich AJ, Park G, Nakamoto MY, Gate RE, Wheeler KE. Structural and functional effects of Cu metalloprotein-driven silver nanoparticle dissolution. Environ Sci Technol 2012; 46:6355-62. [PMID: 22563882 DOI: 10.1021/es300901h] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Interactions of a model Cu-metalloprotein, azurin, with 10-100 nm silver nanoparticles (NPs) were examined to elucidate the role of oxidative dissolution and protein interaction on the biological reactivity of NPs. Although minimal protein and NP structural changes were observed upon interaction, displacement of Cu(II) and formation of Ag(I) azurin species under aerobic conditions implicates Cu(II) azurin as a catalyst of NP oxidative dissolution. Consistent with NP oxidation potentials, largest concentrations of Ag(I) azurin species were recorded in reaction with 10 nm NPs (>50%). Apo-protein was also observed under anaerobic reaction with NPs of all sizes and upon aerobic reaction with larger NPs (>20 nm), where NP oxidation is slowed. Cu(II) azurin displacement upon reaction with NPs was significantly greater than when reacted with Ag(I)(aq) alone. Regardless of NP size, dialysis experiments show minimal reactivity between azurin and the Ag(I)(aq) species formed as a result of NP oxidative dissolution, indicating Cu displacement from azurin occurs at the NP surface. Mechanisms of azurin-silver NP interaction are proposed. Results demonstrate that NP interactions not only impact protein structure and function, but also NP reactivity, with implications for targeting, uptake, and cytotoxicity.
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Affiliation(s)
- Andrew J Martinolich
- Department of Chemistry & Biochemistry, Santa Clara University, Santa Clara, California 95053 United States
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