Evidence map›Paper›PMID 35817986›Full record

ArticleNature genetics2022

Systematic discovery and perturbation of regulatory genes in human T cells reveals the architecture of immune networks.

Jacob W Freimer, Oren Shaked, Sahin Naqvi, Nasa Sinnott-Armstrong, Arwa Kathiria, Christian M Garrido, Amy F Chen, Jessica T Cortez, William J Greenleaf, Jonathan K Pritchard and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 86 citations in OpenAlex.

  1. Genome-scale perturbation signatures from primary human CD4bioRxiv : the preprint server for biology · 2026
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  7. Dissecting PGENature communications · 2026
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  12. Review
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  15. Functional Neurogenomics to Dissect Disease Mechanisms Across Models.Annual review of genomics and human genetics · 2025
    Review
  16. Article
  17. Article
  18. Gene regulation technologies for gene and cell therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  19. Article
  20. Article
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

11 authors at 5 institutions in 1 country.

Jacob W Freimer *Department of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9239-2272
Oren Shaked *Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.
Sahin NaqviDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2635-7967
Nasa Sinnott-ArmstrongDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4490-0601
Arwa KathiriaDepartment of Genetics, Stanford University, Stanford, CA, USA.
Christian M GarridoGladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.
Amy F ChenDepartment of Genetics, Stanford University, Stanford, CA, USA.
Jessica T CortezDepartment of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-6314-7267
William J GreenleafDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1409-3095
Jonathan K PritchardDepartment of Genetics, Stanford University, Stanford, CA, USA. pritch@stanford.edu.ORCID http://orcid.org/0000-0002-8828-5236
Alexander MarsonGladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. alexander.marson@ucsf.edu.ORCID http://orcid.org/0000-0002-2734-5776
Stanford University · USGladstone Institutes · USUniversity of California, San Francisco · USChan Zuckerberg Initiative (United States) · USStanford Medicine · US

Funding

Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAISSE, CHRISTIAN · 2003 to 2019
$21.8M
Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
Filling a Void of Research (FAVOR) Training for Transplant SurgeonsT32AI125222 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PETER G STOCK, Minnie M Sarwal · 2016 to 2026
$3.4M
New methods for constructing and evaluating polygenic scoresR01HG011432 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2020 to 2023
$3.3M
BD FACSAria Fusion Cell SorterS10OD021822 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, MICHAEL R. · 2016 to 2016
$573k
Acquisition of Covaris E220 and Sciclone G3 systems for high throughput sequencinS10OD010786 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COMAI, LUCA · 2012 to 2012
$311k
Dissecting principles of transcription factor bindingF32GM135996 · NIGMS · STANFORD UNIVERSITY · PI CHEN, AMY FAN · 2020 to 2021
$134k
NHGRI NIH HHS R01 HG008140NHGRI NIH HHS R01 HG011432NHGRI NIH HHS RM1 HG007735NIAID NIH HHS T32 AI125222NIDDK NIH HHS P30 DK063720NIGMS NIH HHS F32 GM135996NIH HHS S10 OD010786NIH HHS S10 OD021822
6 · The paper itself

Abstract

Gene regulatory networks ensure that important genes are expressed at precise levels. When gene expression is sufficiently perturbed, it can lead to disease. To understand how gene expression disruptions percolate through a network, we must first map connections between regulatory genes and their downstream targets. However, we lack comprehensive knowledge of the upstream regulators of most genes. Here, we developed an approach for systematic discovery of upstream regulators of critical immune factors-IL2RA, IL-2 and CTLA4-in primary human T cells. Then, we mapped the network of the target genes of these regulators and putative cis-regulatory elements using CRISPR perturbations, RNA-seq and ATAC-seq. These regulators form densely interconnected networks with extensive feedback loops. Furthermore, this network is enriched for immune-associated disease variants and genes. These results provide insight into how immune-associated disease genes are regulated in T cells and broader principles about the structure of human gene regulatory networks.

Indexed as

Gene Regulatory NetworksGenes, RegulatorT-LymphocytesClustered Regularly Interspaced Short Palindromic RepeatsHumans

Identifiers

PMID35817986
PMCPMC10035359
OpenAlexW4285015066

What OpenQuestion holds

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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.