Evidence map›Paper›PMID 38168026›Full record

ArticleNature communications2024

Integrated multi-omics analyses identify anti-viral host factors and pathways controlling SARS-CoV-2 infection.

Jiakai Hou, Yanjun Wei, Jing Zou, Roshni Jaffery, Long Sun, Shaoheng Liang, Ningbo Zheng, Ashley M Guerrero, Nicholas A Egan, Ritu Bohat and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
11.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Type 2 immune responses are associated with less severe COVID-19 in a hospitalized cohort.The journal of allergy and clinical immunology. Global · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 6 institutions in 1 country.

Jiakai Hou *Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.ORCID 0000-0003-2875-8756
Yanjun Wei *Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-4200-2859
Jing Zou *Department of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA.
Roshni JafferyDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA.
Long SunDepartment of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA.ORCID 0000-0003-4889-4624
Shaoheng LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-9575-1522
Ningbo ZhengDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA.
Ashley M GuerreroDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA.ORCID 0009-0008-6393-9433
Nicholas A EganDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA.
Ritu BohatDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA.
Si ChenDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA.
Caishang ZhengDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xiaobo MaoNeuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-6587-556X
S Stephen YiDepartment of Oncology, Livestrong Cancer Institutes, and Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-0047-8103
Ken ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-4013-5279
Daniel J McGrailCenter for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-6669-6069
Nidhi SahniDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-9155-5882
Pei-Yong ShiDepartment of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA. peshi@UTMB.edu.ORCID 0000-0001-5553-1616
Yiwen ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. ychen26@mdanderson.org.ORCID 0000-0002-7706-7540
Xuping XieDepartment of Biochemistry & Molecular Biology, The University of Texas Medical Branch, Galveston, TX, USA. xuxie@UTMB.edu.ORCID 0000-0003-0918-016X
Weiyi PengDepartment of Biology and Biochemistry, University of Houston, Houston, TX, USA. wpeng2@Central.uh.edu.ORCID 0000-0002-7785-6240
University of Houston · USThe University of Texas MD Anderson Cancer Center · USThe University of Texas Medical Branch at Galveston · USCleveland Clinic · USJohns Hopkins University · USLivestrong Foundation · US

Funding

West African Center for Emerging Infectious DiseasesU01AI151801 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Robert W Cross, Scott C Weaver · 2020 to 2026
$10.1M
Network-based Framework to Decode Novel Gain-of-Function Mutations and their Mechanistic Roles in General Human DiseasesR35GM133658 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI S. Stephen Yi · 2019 to 2026
$2.6M
Systematic dissection of function and mechanism of long non-coding RNAs in glioblastomaR01NS117668 · NINDS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, YIWEN · 2021 to 2025
$2.0M
Integrative approaches for decoding the function and regulation of unconventional RNA translationR01GM130838 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, YIWEN · 2019 to 2023
$1.8M
NIAID NIH HHS HHSN272201600013CNIAID NIH HHS U01 AI151801NIGMS NIH HHS R01 GM130838NIGMS NIH HHS R35 GM133658NINDS NIH HHS R01 NS117668
6 · The paper itself

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.

Indexed as

COVID-19Antiviral AgentsGenome-Wide Association StudyHumansMultiomicsSARS-CoV-2Antiviral Agents

Identifiers

PMID38168026
PMCPMC10761986
OpenAlexW4390499491

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.