Evidence map›Paper›PMID 31968263›Full record

ArticleCell reports2020

A Comprehensive Map of the Monocyte-Derived Dendritic Cell Transcriptional Network Engaged upon Innate Sensing of HIV.

Jarrod S Johnson, Nicholas De Veaux, Alexander W Rives, Xavier Lahaye, Sasha Y Lucas, Brieuc P Perot, Marine Luka, Victor Garcia-Paredes, Lynn M Amon, Aaron Watters and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  6. Macrophage subtypes inhibit breast cancer proliferation in culture.bioRxiv : the preprint server for biology · 2024
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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

16 authors at 8 institutions in 2 countries.

Jarrod S JohnsonDepartment of Biochemistry, University of Utah, Salt Lake City, UT 84112, USA; Center for Infectious Disease Research, Seattle, WA 98109, USA. Electronic address: jarrod.johnson@biochem.utah.edu.
Nicholas De VeauxFlatiron Institute, Center for Computational Biology, Simons Foundation, New York, NY 10010, USA.
Alexander W RivesFlatiron Institute, Center for Computational Biology, Simons Foundation, New York, NY 10010, USA.
Xavier LahayeImmunity and Cancer Department, Institut Curie, PSL Research University, INSERM U932, 75005 Paris, France.
Sasha Y LucasCenter for Infectious Disease Research, Seattle, WA 98109, USA.
Brieuc P PerotLaboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Imagine Institute, INSERM UMR 1163, ATIP-Avenir Team, Université de Paris, 24 Boulevard du Montparnasse, 75015 Paris, France.
Marine LukaLaboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Imagine Institute, INSERM UMR 1163, ATIP-Avenir Team, Université de Paris, 24 Boulevard du Montparnasse, 75015 Paris, France.
Victor Garcia-ParedesLaboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Imagine Institute, INSERM UMR 1163, ATIP-Avenir Team, Université de Paris, 24 Boulevard du Montparnasse, 75015 Paris, France.
Lynn M AmonCenter for Infectious Disease Research, Seattle, WA 98109, USA.
Aaron WattersFlatiron Institute, Center for Computational Biology, Simons Foundation, New York, NY 10010, USA.
Ghaith AbdessalemLaboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Imagine Institute, INSERM UMR 1163, ATIP-Avenir Team, Université de Paris, 24 Boulevard du Montparnasse, 75015 Paris, France.
Alan AderemCenter for Infectious Disease Research, Seattle, WA 98109, USA; Department of Immunology, University of Washington School of Medicine, Seattle, WA 98109, USA.
Nicolas ManelImmunity and Cancer Department, Institut Curie, PSL Research University, INSERM U932, 75005 Paris, France.
Dan R LittmanThe Kimmel Center for Biology and Medicine of the Skirball Institute, New York University School of Medicine, New York, NY 10016, USA; Howard Hughes Medical Institute, New York University School of Medicine, New York, NY 10016, USA.
Richard BonneauFlatiron Institute, Center for Computational Biology, Simons Foundation, New York, NY 10010, USA; Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA; Center for Data Science, New York University, New York, NY 10011, USA.
Mickaël M MénagerLaboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Imagine Institute, INSERM UMR 1163, ATIP-Avenir Team, Université de Paris, 24 Boulevard du Montparnasse, 75015 Paris, France; The Kimmel Center for Biology and Medicine of the Skirball Institute, New York University School of Medicine, New York, NY 10016, USA. Electronic address: mickael.menager@institutimagine.org.
Simons Foundation · USCenter for Infectious Disease Research · USImmunité et Cancer · FRInfectious Disease Research Institute · USInserm · FRNew York University · USUniversité Paris Cité · FRInstitut des Maladies Génétiques Imagine · FR

Funding

Systems Biology CoreU19AI100627 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ULEVITCH, RICHARD J · 2012 to 2021
$49.1M
Virus TransmissionP50AI150464 · NIAID · UNIVERSITY OF UTAH · PI HILL, CHRISTOPHER P. · 2019 to 2021
$14.9M
LPS Signaling in Macrophages: The Roll of TollR01AI032972 · NIAID · UNIVERSITY OF WASHINGTON · PI ADEREM, ALAN A · 1992 to 2020
$14.6M
LPS REGULATION OF MACROPHAGE FUNCTIONR01AI025032 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI ADEREM, ALAN A · 1987 to 2016
$6.7M
Dendritic Cell Restriction and Innate Immune Sensing of HIV InfectionR21AI084633 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LITTMAN, DAN · 2010 to 2011
$463k
Evaluating Innate Immune Responses in Dendritic Cells During HIV InfectionF32AI093231 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOHNSON, JARROD SEAN · 2012 to 2013
$55k
Howard Hughes Medical InstituteNIAID NIH HHS F32 AI093231NIAID NIH HHS P50 AI150464NIAID NIH HHS R01 AI025032NIAID NIH HHS R01 AI032972NIAID NIH HHS R21 AI084633NIAID NIH HHS U19 AI100627
6 · The paper itself

Abstract

Transcriptional programming of the innate immune response is pivotal for host protection. However, the transcriptional mechanisms that link pathogen sensing with innate activation remain poorly understood. During HIV-1 infection, human dendritic cells (DCs) can detect the virus through an innate sensing pathway, leading to antiviral interferon and DC maturation. Here, we develop an iterative experimental and computational approach to map the HIV-1 innate response circuitry in monocyte-derived DCs (MDDCs). By integrating genome-wide chromatin accessibility with expression kinetics, we infer a gene regulatory network that links 542 transcription factors with 21,862 target genes. We observe that an interferon response is required, yet insufficient, to drive MDDC maturation and identify PRDM1 and RARA as essential regulators of the interferon response and MDDC maturation, respectively. Our work provides a resource for interrogation of regulators of HIV replication and innate immunity, highlighting complexity and cooperativity in the regulatory circuit controlling the response to infection.

Indexed as

Gene Regulatory NetworksCell DifferentiationChromatinDendritic CellsFemaleGene Expression RegulationHEK293 CellsHIV-1HIV InfectionsHumansImmunity, InnateInterferon Type IMaleMonocytesPromoter Regions, GeneticRetinoic Acid Receptor alphaChromatinInterferon Type IRetinoic Acid Receptor alphaTranscription FactorsATAC-seqcGASchromatin modificationDNA sensinginnate signalingIRF3network inferenceNF-κBRNA-seqSTING

Identifiers

PMID31968263
PMCPMC7039998
OpenAlexW3002788052

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.