ArticleCurrent opinion in systems biology2019
Dynamic control of the T-cell specification gene regulatory network.
Article in Current opinion in systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- Gene-regulatory programs that specify age-related differences during thymocyte development.Cell reports · 2025Article
- Transcriptional network dynamics in early T cell development.The Journal of experimental medicine · 2024Review
- Self-Organization and Genomic Causality in Models of Morphogenesis.Entropy (Basel, Switzerland) · 2023Review
- Speed and navigation control of thymocyte development by the fetal T-cell gene regulatory network.Immunological reviews · 2023Review
- Multi-modular structure of the gene regulatory network for specification and commitment of murine T cells.Frontiers in immunology · 2023Review
- Shifting gears: Id3 enables recruitment of E proteins to new targets during T cell development and differentiation.Frontiers in immunology · 2022Review
- The Route of Early T Cell Development: Crosstalk between Epigenetic and Transcription Factors.Cells · 2021Review
- How transcription factors drive choice of the T cell fate.Nature reviews. Immunology · 2021Review
- Epigenetic Dynamics in the Function of T-Lineage Regulatory Factor Bcl11b.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Specification of multipotent blood precursor cells in postnatal mice to become committed T-cell precursors involves a gene regulatory network of several interacting but functionally distinct modules. Many links of this network have been defined by perturbation tests and by functional genomics. However, using the network model to predict real-life kinetics of the commitment process is still difficult, partly due to the tenacity of repressive chromatin states, and to the ability of transcription factors to affect each other's binding site choices through competitive recruitment to alternative sites ("coregulator theft"). To predict kinetics, future models will need to incorporate mechanistic information about chromatin state change dynamics and more sophisticated understanding of the proteomics and cooperative DNA site choices of transcription factor complexes.
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Registered trials
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.