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Abnormal global alternative RNA splicing in COVID-19 patients.
Wang, Changli; Chen, Lijun; Chen, Yaobin; Jia, Wenwen; Cai, Xunhui; Liu, Yufeng; Ji, Fenghu; Xiong, Peng; Liang, Anyi; Liu, Ren; Guan, Yuanlin; Cheng, Zhongyi; Weng, Yejing; Wang, Weixin; Duan, Yaqi; Kuang, Dong; Xu, Sanpeng; Cai, Hanghang; Xia, Qin; Yang, Dehua; Wang, Ming-Wei; Yang, Xiangping; Zhang, Jianjun; Cheng, Chao; Liu, Liang; Liu, Zhongmin; Liang, Ren; Wang, Guopin; Li, Zhendong; Xia, Han; Xia, Tian.
  • Wang C; Department of Pathology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Chen L; Department of Pathology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Chen Y; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Jia W; Institute for Regenerative Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Cai X; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Liu Y; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Ji F; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Xiong P; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Liang A; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Liu R; Department of Research and Development, Hugobiotech Co. Ltd., Beijing, China.
  • Guan Y; Department of Research and Development, Hugobiotech Co. Ltd., Beijing, China.
  • Cheng Z; Jingjie PTM BioLab (Hangzhou) Co. Ltd., Hangzhou, China.
  • Weng Y; Jingjie PTM BioLab (Hangzhou) Co. Ltd., Hangzhou, China.
  • Wang W; Jingjie PTM BioLab (Hangzhou) Co. Ltd., Hangzhou, China.
  • Duan Y; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Kuang D; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Xu S; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Cai H; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Xia Q; Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yang D; The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
  • Wang MW; The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
  • Yang X; Department of Pathology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhang J; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Cheng C; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Liu L; Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America.
  • Liu Z; Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Liang R; Institute for Regenerative Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Wang G; Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Li Z; Institute of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China.
  • Xia H; Elongevity INC, Wuhan, China.
  • Xia T; Department of Research and Development, Hugobiotech Co. Ltd., Beijing, China.
PLoS Genet ; 18(4): e1010137, 2022 04.
Article in English | MEDLINE | ID: covidwho-1789166
ABSTRACT
Viral infections can alter host transcriptomes by manipulating host splicing machinery. Despite intensive transcriptomic studies on SARS-CoV-2, a systematic analysis of alternative splicing (AS) in severe COVID-19 patients remains largely elusive. Here we integrated proteomic and transcriptomic sequencing data to study AS changes in COVID-19 patients. We discovered that RNA splicing is among the major down-regulated proteomic signatures in COVID-19 patients. The transcriptome analysis showed that SARS-CoV-2 infection induces widespread dysregulation of transcript usage and expression, affecting blood coagulation, neutrophil activation, and cytokine production. Notably, CD74 and LRRFIP1 had increased skipping of an exon in COVID-19 patients that disrupts a functional domain, which correlated with reduced antiviral immunity. Furthermore, the dysregulation of transcripts was strongly correlated with clinical severity of COVID-19, and splice-variants may contribute to unexpected therapeutic activity. In summary, our data highlight that a better understanding of the AS landscape may aid in COVID-19 diagnosis and therapy.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study / Systematic review/Meta Analysis Topics: Variants Limits: Humans Language: English Journal: PLoS Genet Journal subject: Genetics Year: 2022 Document Type: Article Affiliation country: Journal.pgen.1010137

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Prognostic study / Systematic review/Meta Analysis Topics: Variants Limits: Humans Language: English Journal: PLoS Genet Journal subject: Genetics Year: 2022 Document Type: Article Affiliation country: Journal.pgen.1010137