Evidence map›Paper›PMID 35594339›Full record

ArticleScience immunology2022

Single-cell deletion analyses show control of pro-T cell developmental speed and pathways by Tcf7, Spi1, Gata3, Bcl11a, Erg, and Bcl11b.

Wen Zhou, Fan Gao, Maile Romero-Wolf, Suin Jo, Ellen V Rothenberg

Abstract read
In one paragraph

Article in Science immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. The transcription factor Bcl11a is essential for B-1a cell maintenance during aging.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. TrAGEDy-trajectory alignment of gene expression dynamics.Bioinformatics (Oxford, England) · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Transcriptional network dynamics in early T cell development.The Journal of experimental medicine · 2024
    Review
  18. Article
  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

5 authors.

Wen ZhouDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0003-0357-2744
Fan GaoDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0001-6832-3402
Maile Romero-WolfDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-8024-7198
Suin JoDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-7575-9017
Ellen V RothenbergDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-3901-347X

Funding

System dynamics and gene network architecture of early T-cell developmentR01HD100039 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELLEN V. ROTHENBERG · 2019 to 2026
$4.1M
FUNCTIONAL GENOMICS AND MECHANISM OF BCL11B ACTION IN LYMPHOCYTE COMMITMENTR01AI135200 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2018 to 2022
$3.2M
Kinetic modeling and single-cell molecular mechanisms of early T-cell commitmentR01HL119102 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PETERSON, CARSTEN, ROTHENBERG, ELLEN V. · 2014 to 2018
$3.0M
NHLBI NIH HHS R01 HL119102NIAID NIH HHS R01 AI135200NICHD NIH HHS R01 HD100039
6 · The paper itself

Abstract

As early T cell precursors transition from multipotentiality to T lineage commitment, they change expression of multiple transcription factors. It is unclear whether individual transcription factors directly control choices between T cell identity and some alternative fate or whether these factors mostly affect proliferation or survival during the normal commitment process. Here, we unraveled the impacts of deleting individual transcription factors at two stages in early T cell development, using synchronized in vitro differentiation systems, single-cell RNA-seq with batch indexing, and controlled gene-disruption strategies. First, using a customized method for single-cell CRISPR disruption, we defined how the early-acting transcription factors Bcl11a, Erg, Spi1 (PU.1), Gata3, and Tcf7 (TCF1) function before commitment. The results revealed a kinetic tug of war within individual cells between T cell factors Tcf7 and Gata3 and progenitor factors Spi1 and Bcl11a, with an unexpected guidance role for Erg. Second, we tested how activation of transcription factor Bcl11b during commitment altered ongoing cellular programs. In knockout cells where Bcl11b expression was prevented, the cells did not undergo developmental arrest, instead following an alternative path as T lineage commitment was blocked. A stepwise, time-dependent regulatory cascade began with immediate-early transcription factor activation and E protein inhibition, finally leading Bcl11b knockout cells toward exit from the T cell pathway. Last, gene regulatory networks of transcription factor cross-regulation were extracted from the single-cell transcriptome results, characterizing the specification network operating before T lineage commitment and revealing its links to both the Bcl11b knockout alternative network and the network consolidating T cell identity during commitment.

Indexed as

Gene Regulatory NetworksT-LymphocytesCell DifferentiationCell LineageTumor Suppressor ProteinsTumor Suppressor Proteins

Identifiers

PMID35594339
PMCPMC9273332

What OpenQuestion holds

Textmetadata
LicenceTDM
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.