Evidence map›Paper›PMID 39167073›Full record

ReviewThe Journal of experimental medicine2024

Transcriptional network dynamics in early T cell development.

Boyoung Shin, Samantha J Chang, Brendan W MacNabb, Ellen V Rothenberg

Abstract readReview
In one paragraph

Review in The Journal of experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Efficient Generation of Functional TCRαβbioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Blocking CXCR4Genome medicine · 2025
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. The partitioning of TCR repertoires by thymic selection.The Journal of experimental medicine · 2024
    Review
  18. The partitioning of TCR repertoires by thymic selection.The Journal of experimental medicine · 2024
    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

4 authors.

Boyoung ShinDivision of Biology and Biological Engineering California Institute of Technology , Pasadena, CA, USA.ORCID 0000-0001-7926-5527
Samantha J ChangDivision of Biology and Biological Engineering California Institute of Technology , Pasadena, CA, USA.ORCID 0009-0002-4185-3440
Brendan W MacNabbDivision of Biology and Biological Engineering California Institute of Technology , Pasadena, CA, USA.ORCID 0000-0003-1827-0247
Ellen V RothenbergDivision of Biology and Biological Engineering California Institute of Technology , Pasadena, CA, 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
Lmo2-Lyl1 and the bHLH factor network in pro-T cellsR01AI151704 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROTHENBERG, ELLEN V. · 2021 to 2025
$3.0M
PROBING CONTROL OF DEVELOPMENTAL EPIGENETIC CHANGE USING RUNX FACTORSR37AI178114 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELLEN V. ROTHENBERG · 2024 to 2026
$2.3M
Dissecting the transcription factor networks controlling fetal T-lineage differentiationF32AI181504 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Brendan William MacNabb · 2024 to 2026
$229k
Caltech Postdoctoral Baxter FoundationNIAID NIH HHS F32 AI181504NIAID NIH HHS R01 AI135200NIAID NIH HHS R01 AI151704NIAID NIH HHS R37 AI178114NICHD NIH HHS R01 HD100039NIH HHS F32AI181504U.S. Public Health Service R01AI151704
6 · The paper itself

Abstract

The rate at which cells enter the T cell pathway depends not only on the immigration of hematopoietic precursors into the strong Notch signaling environment of the thymus but also on the kinetics with which each individual precursor cell reaches T-lineage commitment once it arrives. Notch triggers a complex, multistep gene regulatory network in the cells in which the steps are stereotyped but the transition speeds between steps are variable. Progenitor-associated transcription factors delay T-lineage differentiation even while Notch-induced transcription factors within the same cells push differentiation forward. Progress depends on regulator cross-repression, on breaching chromatin barriers, and on shifting, competitive collaborations between stage-specific and stably expressed transcription factors, as reviewed here.

Indexed as

Cell DifferentiationGene Regulatory NetworksReceptors, NotchT-LymphocytesAnimalsCell LineageHumansSignal TransductionTranscription FactorsTranscription, GeneticReceptors, NotchTranscription Factors

Identifiers

PMID39167073
PMCPMC11338287

What OpenQuestion holds

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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.