Evidence map›Paper›PMID 28584128›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Bcl11b and combinatorial resolution of cell fate in the T-cell gene regulatory network.

William J R Longabaugh, Weihua Zeng, Jingli A Zhang, Hiroyuki Hosokawa, Camden S Jansen, Long Li, Maile Romero-Wolf, Pentao Liu, Hao Yuan Kueh, Ali Mortazavi and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Frontiers in immunology · 2025
    Article
  7. T Cell Development: From T-Lineage Specification to Intrathymic Maturation.Advances in experimental medicine and biology · 2025
    Review
  8. Transcriptional network dynamics in early T cell development.The Journal of experimental medicine · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Transcriptional rewiring in CD8Frontiers in immunology · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

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

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 4 institutions in 2 countries.

William J R LongabaughInstitute for Systems Biology, Seattle, WA 98109; wlongabaugh@systemsbiology.org ali.mortazavi@uci.edu evroth@its.caltech.edu.
Weihua ZengDepartment of Developmental and Cell Biology, University of California, Irvine, CA 92697.
Jingli A ZhangDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Hiroyuki HosokawaDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Camden S JansenDepartment of Developmental and Cell Biology, University of California, Irvine, CA 92697.
Long LiDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Maile Romero-WolfDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Pentao LiuWellcome Trust Medical Research Council, Cambridge Stem Cell Institute, University of Cambridge, Cambridge CB2 1QR, United Kingdom.
Hao Yuan KuehDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125.
Ali MortazaviDepartment of Developmental and Cell Biology, University of California, Irvine, CA 92697; wlongabaugh@systemsbiology.org ali.mortazavi@uci.edu evroth@its.caltech.edu.
Ellen V RothenbergDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125; wlongabaugh@systemsbiology.org ali.mortazavi@uci.edu evroth@its.caltech.edu.ORCID 0000-0002-3901-347X
California Institute of Technology · USUniversity of California, Irvine · USInstitute for Systems Biology · USWellcome/MRC Cambridge Stem Cell Institute · GB

Funding

LINEAGE COMMITMENT MECHANISMS IN LYMPHOID PRECURSORSR01CA090233 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2001 to 2011
$3.9M
Comparative analysis of the 4D encoding of regulatory networks in stem cellsDP2GM111100 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MORTAZAVI, SEYED ALI · 2013 to 2013
$2.3M
Extending BioTapestry, a Tool for Modeling Gene Regulatory NetworksR01HD073113 · NICHD · INSTITUTE FOR SYSTEMS BIOLOGY · PI LONGABAUGH, WILLIAM JOHN ROBERT · 2012 to 2015
$2.0M
Bcl11b in early T cell developmentR01AI083514 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2011 to 2015
$1.8M
Dynamic Epigenetic Mapping of a Stem Cell Differentiation ChoiceRC2CA148278 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V., WOLD, BARBARA J · 2009 to 2010
$1.6M
Single-cell analysis of immune cell fate decision makingR00HL119638 · NHLBI · UNIVERSITY OF WASHINGTON · PI KUEH, HAO YUAN · 2016 to 2018
$747k
Single cell analysis of hematopoietic cell fate determinationK99HL119638 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI KUEH, HAO YUAN · 2014 to 2015
$180k
NCI NIH HHS R01 CA090233NHLBI NIH HHS K99 HL119638NHLBI NIH HHS R00 HL119638NIAID NIH HHS R01 AI083514NICHD NIH HHS R01 HD073113NIGMS NIH HHS DP2 GM111100
6 · The paper itself

Abstract

T-cell development from hematopoietic progenitors depends on multiple transcription factors, mobilized and modulated by intrathymic Notch signaling. Key aspects of T-cell specification network architecture have been illuminated through recent reports defining roles of transcription factors PU.1, GATA-3, and E2A, their interactions with Notch signaling, and roles of Runx1, TCF-1, and Hes1, providing bases for a comprehensively updated model of the T-cell specification gene regulatory network presented herein. However, the role of lineage commitment factor Bcl11b has been unclear. We use self-organizing maps on 63 RNA-seq datasets from normal and perturbed T-cell development to identify functional targets of Bcl11b during commitment and relate them to other regulomes. We show that both activation and repression target genes can be bound by Bcl11b in vivo, and that Bcl11b effects overlap with E2A-dependent effects. The newly clarified role of Bcl11b distinguishes discrete components of commitment, resolving how innate lymphoid, myeloid, and dendritic, and B-cell fate alternatives are excluded by different mechanisms.

Indexed as

Gene Regulatory NetworksAnimalsCell DifferentiationMiceMice, Inbred C57BLMice, KnockoutReceptors, NotchRepressor ProteinsSignal TransductionT-LymphocytesTumor Suppressor ProteinsBcl11b protein, mouseReceptors, NotchRepressor ProteinsTumor Suppressor ProteinsBcl11bcommitmentE2ANotch-delta signalingPU.1

Identifiers

PMID28584128
PMCPMC5468679
OpenAlexW2624618144

What OpenQuestion holds

Textmetadata
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.