Evidence map›Paper›PMID 36156073›Full record

ArticlePLoS computational biology2022

Systems-level identification of key transcription factors in immune cell specification.

Cong Liu, Kyla Omilusik, Clara Toma, Nadia S Kurd, John T Chang, Ananda W Goldrath, Wei Wang

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Epigenetic Regulation of CD8European journal of immunology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. 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

7 authors at 1 institution in 1 country.

Cong LiuDepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0002-4958-7856
Kyla OmilusikDivision of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0003-3675-048X
Clara TomaDivision of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Nadia S KurdDepartment of Medicine, University of California San Diego, La Jolla, California, United States of America.
John T ChangDepartment of Medicine, University of California San Diego, La Jolla, California, United States of America.
Ananda W GoldrathDivision of Biological Sciences, University of California San Diego, La Jolla, California, United States of America.
Wei WangDepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0003-4377-5060
University of California San Diego · US

Funding

Single-Cell Transcriptomic and Epigenetics CoreP01AI132122 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GOLDRATH, ANANDA W · 2018 to 2022
$9.8M
Systems-level identification of key regulators deciding immune cell stateR01AI150282 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, WEI · 2020 to 2024
$3.5M
NIAID NIH HHS P01 AI132122NIAID NIH HHS R01 AI150282
6 · The paper itself

Abstract

Transcription factors (TFs) are crucial for regulating cell differentiation during the development of the immune system. However, the key TFs for orchestrating the specification of distinct immune cells are not fully understood. Here, we integrated the transcriptomic and epigenomic measurements in 73 mouse and 61 human primary cell types, respectively, that span the immune cell differentiation pathways. We constructed the cell-type-specific transcriptional regulatory network and assessed the global importance of TFs based on the Taiji framework, which is a method we have previously developed that can infer the global impact of TFs using integrated transcriptomic and epigenetic data. Integrative analysis across cell types revealed putative driver TFs in cell lineage-specific differentiation in both mouse and human systems. We have also identified TF combinations that play important roles in specific developmental stages. Furthermore, we validated the functions of predicted novel TFs in murine CD8+ T cell differentiation and showed the importance of Elf1 and Prdm9 in the effector versus memory T cell fate specification and Kdm2b and Tet3 in promoting differentiation of CD8+ tissue resident memory (Trm) cells, validating the approach. Thus, we have developed a bioinformatic approach that provides a global picture of the regulatory mechanisms that govern cellular differentiation in the immune system and aids the discovery of novel mechanisms in cell fate decisions.

Indexed as

Gene Regulatory NetworksTranscription FactorsAnimalsCell DifferentiationCell LineageComputational BiologyHistone-Lysine N-MethyltransferaseHumansMiceHistone-Lysine N-MethyltransferasePRDM9 protein, humanprdm9 protein, mouseTranscription Factors

Identifiers

PMID36156073
PMCPMC9536753
OpenAlexW4297261181

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.