ReviewWiley interdisciplinary reviews. Systems biology and medicine
Regulatory gene network circuits underlying T cell development from multipotent progenitors.
Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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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
26 citing papers in PubMed.
- Human Progenitor T-Cell Differentiation Regulated by the Mechanical Resistance of Thymus-Mimetic Extracellular Matrices.Advanced healthcare materials · 2026Article
- Transcriptional network dynamics in early T cell development.The Journal of experimental medicine · 2024Review
- ToTAL1y degraded - rapid dTAG proteolysis of TAL1 in T-cell acute lymphoblastic leukemia.Haematologica · 2024Article
- Computational approaches to understand transcription regulation in development.Biochemical Society transactions · 2023Review
- Multi-modular structure of the gene regulatory network for specification and commitment of murine T cells.Frontiers in immunology · 2023Review
- The potential role of the thymus in immunotherapies for acute myeloid leukemia.Frontiers in immunology · 2023Review
- IQCELL: A platform for predicting the effect of gene perturbations on developmental trajectories using single-cell RNA-seq data.PLoS computational biology · 2022Article
- Identification, visualization, statistical analysis and mathematical modeling of high-feedback loops in gene regulatory networks.BMC bioinformatics · 2021Article
- The Route of Early T Cell Development: Crosstalk between Epigenetic and Transcription Factors.Cells · 2021Review
- The Polycomb-associated factor PHF19 controls hematopoietic stem cell state and differentiation.Science advances · 2020Article
- Early Xenopus gene regulatory programs, chromatin states, and the role of maternal transcription factors.Current topics in developmental biology · 2020Review
- Encounters across networks: Windows into principles of genomic regulation.Marine genomics · 2019Article
- The MYC transcription factor network: balancing metabolism, proliferation and oncogenesis.Frontiers of medicine · 2018Review
- Fitting structure to function in gene regulatory networks.History and philosophy of the life sciences · 2017Article
- Transcriptome analysis reveals similarities between human blood CD3Scientific reports · 2017Article
- Bcl11b and combinatorial resolution of cell fate in the T-cell gene regulatory network.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Progenitor T-cell differentiation from hematopoietic stem cells using Delta-like-4 and VCAM-1.Nature methods · 2017Article
- Irreversibility of T-Cell Specification: Insights from Computational Modelling of a Minimal Network Architecture.PloS one · 2016Article
- BioTapestry now provides a web application and improved drawing and layout tools.F1000Research · 2016Article
- Developmental gene networks: a triathlon on the course to T cell identity.Nature reviews. Immunology · 2014Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Regulatory gene circuits enable stem and progenitor cells to detect and process developmental signals and make irreversible fate commitment decisions. To gain insight into the gene circuits underlying T cell fate decision making in progenitor cells, we generated an updated T-lymphocyte developmental gene regulatory network from genes and connections found in the literature. This reconstruction allowed us to identify candidate regulatory gene circuit elements underlying T cell fate decision making. Here, we examine the roles of these circuits in facilitating different aspects of the decision making process, and discuss experiments to further probe their structure and function.
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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.