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Integrated multi-omics analyses identify anti-viral host factors and pathways controlling SARS-CoV-2 infection.
Hou, Jiakai; Wei, Yanjun; Zou, Jing; Jaffery, Roshni; Sun, Long; Liang, Shaoheng; Zheng, Ningbo; Guerrero, Ashley M; Egan, Nicholas A; Bohat, Ritu; Chen, Si; Zheng, Caishang; Mao, Xiaobo; Yi, S Stephen; Chen, Ken; McGrail, Daniel J; Sahni, Nidhi; Shi, Pei-Yong; Chen, Yiwen; Xie, Xuping; Peng, Weiyi.
Afiliação
  • Hou J; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Wei Y; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Zou J; Department of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA.
  • Jaffery R; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Sun L; Department of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA.
  • Liang S; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Zheng N; Department of Computer Science, Rice University, Houston, TX, USA.
  • Guerrero AM; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Egan NA; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Bohat R; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Chen S; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Zheng C; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Mao X; Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.
  • Yi SS; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Chen K; Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • McGrail DJ; Department of Oncology, Livestrong Cancer Institutes, and Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Sahni N; Interdisciplinary Life Sciences Graduate Programs (ILSGP) and Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, TX, USA.
  • Shi PY; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Chen Y; Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA.
  • Xie X; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Peng W; Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Nat Commun ; 15(1): 109, 2024 01 02.
Article em En | MEDLINE | ID: mdl-38168026
ABSTRACT
Host anti-viral factors are essential for controlling SARS-CoV-2 infection but remain largely unknown due to the biases of previous large-scale studies toward pro-viral host factors. To fill in this knowledge gap, we perform a genome-wide CRISPR dropout screen and integrate analyses of the multi-omics data of the CRISPR screen, genome-wide association studies, single-cell RNA-Seq, and host-virus proteins or protein/RNA interactome. This study uncovers many host factors that are currently underappreciated, including the components of V-ATPases, ESCRT, and N-glycosylation pathways that modulate viral entry and/or replication. The cohesin complex is also identified as an anti-viral pathway, suggesting an important role of three-dimensional chromatin organization in mediating host-viral interaction. Furthermore, we discover another anti-viral regulator KLF5, a transcriptional factor involved in sphingolipid metabolism, which is up-regulated, and harbors genetic variations linked to COVID-19 patients with severe symptoms. Anti-viral effects of three identified candidates (DAZAP2/VTA1/KLF5) are confirmed individually. Molecular characterization of DAZAP2/VTA1/KLF5-knockout cells highlights the involvement of genes related to the coagulation system in determining the severity of COVID-19. Together, our results provide further resources for understanding the host anti-viral network during SARS-CoV-2 infection and may help develop new countermeasure strategies.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos