Evidence map›Paper›PMID 32084337›Full record

ArticleMolecular cell2020

A Quantitative Genetic Interaction Map of HIV Infection.

David E Gordon, Ariane Watson, Assen Roguev, Simin Zheng, Gwendolyn M Jang, Joshua Kane, Jiewei Xu, Jeffrey Z Guo, Erica Stevenson, Danielle L Swaney and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

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  14. Adjustment ofFrontiers in genetics · 2023
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  18. Characterization of an A3G-VifMolecular & cellular proteomics : MCP · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 2 countries.

David E GordonDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Gladstone Institutes, San Francisco, CA 94158, USA.
Ariane WatsonSchool of Biomolecular and Biomedical Science and Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland; Systems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Assen RoguevDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
Simin ZhengDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gwendolyn M JangDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
Joshua KaneDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
Jiewei XuDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
Jeffrey Z GuoDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
Erica StevensonDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Gladstone Institutes, San Francisco, CA 94158, USA.
Danielle L SwaneyDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Gladstone Institutes, San Francisco, CA 94158, USA.
Kathy Franks-SkibaDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
Erik VerschuerenGenentech, South San Francisco, CA 94080, USA.
Michael ShalesDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA.
David C CrosbyDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94143, USA.
Alan D FrankelDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94143, USA.
Alexander MarsonGladstone Institutes, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA.
Ivan MarazziDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Gerard CagneySchool of Biomolecular and Biomedical Science and Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland; Systems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Nevan J KroganDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Gladstone Institutes, San Francisco, CA 94158, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: nevan.krogan@ucsf.edu.
Quantitative BioSciences · USUniversity of California, San Francisco · USGladstone Institutes · USIcahn School of Medicine at Mount Sinai · USUniversity College Dublin · IE

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
X-ray Screening and Rapid Structure DeterminationP50GM082250 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRANKEL, ALAN D · 2007 to 2018
$48.8M
SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
RESEARCH PROJECT 2U19AI135990 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nevan J Krogan · 2018 to 2026
$21.4M
X-ray Screening and Rapid Structure DeterminationP50AI150476 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EMERMAN, MICHAEL · 2019 to 2021
$14.4M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
BD FACSAria II Flow CytometerS10RR028962 · NCRR · J. DAVID GLADSTONE INSTITUTES · PI CAVROIS, MARIELLE · 2011 to 2011
$544k
Exploration of the Host Genetic Interactions underlying HIV InfectivityF32GM108303 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORDON, DAVID EZRA · 2013 to 2015
$159k
NCRR NIH HHS S10 RR028962NIAID NIH HHS P30 AI027763NIAID NIH HHS P50 AI150476NIAID NIH HHS U19 AI135972NIAID NIH HHS U19 AI135990NIGMS NIH HHS F32 GM108303NIGMS NIH HHS P50 GM082250NIH HHS S10 OD018522NIH HHS S10 OD026880
6 · The paper itself

Abstract

We have developed a platform for quantitative genetic interaction mapping using viral infectivity as a functional readout and constructed a viral host-dependency epistasis map (vE-MAP) of 356 human genes linked to HIV function, comprising >63,000 pairwise genetic perturbations. The vE-MAP provides an expansive view of the genetic dependencies underlying HIV infection and can be used to identify drug targets and study viral mutations. We found that the RNA deadenylase complex, CNOT, is a central player in the vE-MAP and show that knockout of CNOT1, 10, and 11 suppressed HIV infection in primary T cells by upregulating innate immunity pathways. This phenotype was rescued by deletion of IRF7, a transcription factor regulating interferon-stimulated genes, revealing a previously unrecognized host signaling pathway involved in HIV infection. The vE-MAP represents a generic platform that can be used to study the global effects of how different pathogens hijack and rewire the host during infection.

Indexed as

Epistasis, GeneticCD4-Positive T-LymphocytesHIV-1HIV InfectionsHost-Pathogen InteractionsHumansImmunity, InnateInterferon Regulatory Factor-7InterferonsMutationSignal TransductionTranscription FactorsCNOT1 protein, humanInterferon Regulatory Factor-7InterferonsIRF7 protein, humanTranscription FactorsCCR4-NOTCNOT complexcombinatorial geneticsepistasis maphost-pathogen network biologyinnate immunityinterferon stimulated geneIRF7vE-MAPviral infection genetic screen

Identifiers

PMID32084337
PMCPMC7462049
OpenAlexW3008762879

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.