Evidence map›Paper›PMID 36817475›Full record

ReviewFrontiers in immunology2023

Multi-modular structure of the gene regulatory network for specification and commitment of murine T cells.

Boyoung Shin, Ellen V Rothenberg

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Transcriptional network dynamics in early T cell development.The Journal of experimental medicine · 2024
    Review
  6. T-cell commitment inheritance-an agent-based multi-scale model.NPJ systems biology and applications · 2024
    Article
  7. Article
  8. Key Functions of the Transcription Factor BCL6 During T-Cell Differentiation.Advances in experimental medicine and biology · 2024
    Review
  9. Article
  10. Article
  11. Review
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

2 authors at 1 institution in 1 country.

Boyoung ShinDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
Ellen V RothenbergDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
California Institute of Technology · US

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
NIAID NIH HHS R01 AI135200NIAID NIH HHS R01 AI151704NICHD NIH HHS R01 HD100039
6 · The paper itself

Abstract

T cells develop from multipotent progenitors by a gradual process dependent on intrathymic Notch signaling and coupled with extensive proliferation. The stages leading them to T-cell lineage commitment are well characterized by single-cell and bulk RNA analyses of sorted populations and by direct measurements of precursor-product relationships. This process depends not only on Notch signaling but also on multiple transcription factors, some associated with stemness and multipotency, some with alternative lineages, and others associated with T-cell fate. These factors interact in opposing or semi-independent T cell gene regulatory network (GRN) subcircuits that are increasingly well defined. A newly comprehensive picture of this network has emerged. Importantly, because key factors in the GRN can bind to markedly different genomic sites at one stage than they do at other stages, the genes they significantly regulate are also stage-specific. Global transcriptome analyses of perturbations have revealed an underlying modular structure to the T-cell commitment GRN, separating decisions to lose "stem-ness" from decisions to block alternative fates. Finally, the updated network sheds light on the intimate relationship between the T-cell program, which depends on the thymus, and the innate lymphoid cell (ILC) program, which does not.

Indexed as

Gene Regulatory NetworksT-LymphocytesAnimalsCell LineageImmunity, InnateLymphocytesMiceReceptors, NotchReceptors, Notchcell fate decisionearly T cell developmentepigenetic controlgene expression programgene regulatory networkmultipotencythymustranscription factors

Identifiers

PMID36817475
PMCPMC9928580
OpenAlexW4318707954

What Socratic 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 Socratic graph.