Evidence map›Paper›PMID 23624555›Full record

ArticleNature immunology2013

Identification of transcriptional regulators in the mouse immune system.

Vladimir Jojic, Tal Shay, Katelyn Sylvia, Or Zuk, Xin Sun, Joonsoo Kang, Aviv Regev, Daphne Koller, Immunological Genome Project Consortium, Adam J Best and 47 more

Abstract read
In one paragraph

Article in Nature immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
–field-weighted citation impact
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

125 citing papers in PubMed.

  1. A Gene-Program Architecture of Mouse T cells.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. ETS Transcription Factors in Immune Cells and Immune-Related Diseases.International journal of molecular sciences · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. γδ T cells: origin and fate, subsets, diseases and immunotherapy.Signal transduction and targeted therapy · 2023
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

65 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

57 authors.

Vladimir JojicComputer Science Department, Stanford University, Stanford, California, USA.
Tal Shay
Katelyn Sylvia
Or Zuk
Xin Sun
Joonsoo Kang
Aviv Regev
Daphne Koller
Immunological Genome Project Consortium
Adam J Best
Jamie Knell
Ananda Goldrath
Vladimir Joic
Daphne Koller
Tal Shay
Aviv Regev
Nadia Cohen
Patrick Brennan
Michael Brenner
Francis Kim
Tata Nageswara Rao
Amy Wagers
Tracy Heng
Jeffrey Ericson
Katherine Rothamel
Adriana Ortiz-Lopez
Diane Mathis
Christophe Benoist
Natalie A Bezman
Joseph C Sun
Gundula Min-Oo
Charlie C Kim
Lewis L Lanier
Jennifer Miller
Brian Brown
Miriam Merad
Emmanuel L Gautier
Claudia Jakubzick
Gwendalyn J Randolph
Paul Monach
David A Blair
Michael L Dustin
Susan A Shinton
Richard R Hardy
David Laidlaw
Jim Collins
Roi Gazit
Derrick J Rossi
Nidhi Malhotra
Katelyn Sylvia
Joonsoo Kang
Taras Kreslavsky
Anne Fletcher
Kutlu Elpek
Angelique Bellemarte-Pelletier
Deepali Malhotra
Shannon Turley

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
ImmGen: Gene Expression and Regulation in Immune CellsR24AI072073 · NIAID · JOSLIN DIABETES CENTER · PI CHRISTOPHE O. BENOIST · 2007 to 2026
$28.5M
MODELING THE ROLE OF PROGRESSION IN FOLLICULAR LYMPHOMAU54CA149145 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2010 to 2014
$12.1M
Gene circuits programming IL-17 production in innate lymphocytesR01AI101301 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KANG, JOONSOO · 2013 to 2017
$2.1M
Howard Hughes Medical InstituteIntramural NIH HHSNCI NIH HHS U54 CA149145NCI NIH HHS U54-CA149145NIAID NIH HHS R01 AI101301NIAID NIH HHS R24 AI072073NIDDK NIH HHS P30 DK026743
6 · The paper itself

Abstract

The differentiation of hematopoietic stem cells into cells of the immune system has been studied extensively in mammals, but the transcriptional circuitry that controls it is still only partially understood. Here, the Immunological Genome Project gene-expression profiles across mouse immune lineages allowed us to systematically analyze these circuits. To analyze this data set we developed Ontogenet, an algorithm for reconstructing lineage-specific regulation from gene-expression profiles across lineages. Using Ontogenet, we found differentiation stage-specific regulators of mouse hematopoiesis and identified many known hematopoietic regulators and 175 previously unknown candidate regulators, as well as their target genes and the cell types in which they act. Among the previously unknown regulators, we emphasize the role of ETV5 in the differentiation of γδ T cells. As the transcriptional programs of human and mouse cells are highly conserved, it is likely that many lessons learned from the mouse model apply to humans.

Indexed as

AlgorithmsAnimalsCell DifferentiationCell LineageDNA-Binding ProteinsGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansImmune SystemMiceOligonucleotide Array Sequence AnalysisReceptors, Antigen, T-Cell, gamma-deltaRepressor ProteinsT-LymphocytesTrans-ActivatorsDNA-Binding ProteinsEtv5 protein, mouseReceptors, Antigen, T-Cell, gamma-deltaRepressor ProteinsTrans-ActivatorsTranscription Factors

Identifiers

PMID23624555
PMCPMC3690947

What OpenQuestion holds

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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.