ReviewBriefings in functional genomics2013
Transcription factor interplay in T helper cell differentiation.
Review in Briefings in functional genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 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.
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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
53 citing papers in PubMed, 96 citations in OpenAlex.
- Injury polarized CD4Redox biology · 2026Article
- Restoring balance in atopic disorders: insights into type 2 immunity and chronic inflammation.Frontiers in immunology · 2026Review
- The impact of alpha-lipoic acid treatment on various mediators of inflammatory and immune responses in a murine arthritis model.Inflammopharmacology · 2025Article
- T-Cell Subpopulations and Differentiation Bias in Diabetic and Non-Diabetic Patients with Chronic Kidney Disease.Biomedicines · 2024Article
- MIWE: detecting the critical states of complex biological systems by the mutual information weighted entropy.BMC bioinformatics · 2024Article
- Lung IL-17A-Producing CD4Vaccines · 2024Article
- Article
- Severe RAS-Associated Lymphoproliferative Disease Case with Increasing αβ Double-Negative T Cells with Atypical Features.Journal of clinical immunology · 2023Article
- GL7 ligand expression defines a novel subset of CD4Mucosal immunology · 2023Article
- Molecular Markers of Early Immune Response in Tuberculosis: Prospects of Application in Predictive Medicine.International journal of molecular sciences · 2023Review
- Profiling of epigenetic marker regions in murine ILCs under homeostatic and inflammatory conditions.The Journal of experimental medicine · 2022Article
- Emergent dynamics of a three-node regulatory network explain phenotypic switching and heterogeneity: a case study of Th1/Th2/Th17 cell differentiation.Molecular biology of the cell · 2022Article
- The TH1 cell lineage-determining transcription factor T-bet suppresses TH2 gene expression by redistributing GATA3 away from TH2 genes.Nucleic acids research · 2022Article
- A population of naive-like CD4European journal of immunology · 2022Article
- CRISPR activation and interference screens decode stimulation responses in primary human T cells.Science (New York, N.Y.) · 2022Article
- Host and immunosuppression-related factors influencing fibrosis occurrence post liver transplantation.Frontiers in pharmacology · 2022Article
- Article
- Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.Frontiers in cell and developmental biology · 2021Review
- Multiplex Immunofluorescence Histology for Immune Cell Infiltrates in Melanoma-Associated Tertiary Lymphoid Structures.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The differentiation of CD4 helper T cells into specialized effector lineages has provided a powerful model for understanding immune cell differentiation. Distinct lineages have been defined by differential expression of signature cytokines and the lineage-specifying transcription factors necessary and sufficient for their production. The traditional paradigm of differentiation towards Th1 and Th2 subtypes driven by T-bet and GATA3, respectively, has been extended to incorporate additional T cell lineages and transcriptional regulators. Technological advances have expanded our view of these lineage-specifying transcription factors to the whole genome and revealed unexpected interplay between them. From these data, it is becoming clear that lineage specification is more complex and plastic than previous models might have suggested. Here, we present an overview of the different forms of transcription factor interplay that have been identified and how T cell phenotypes arise as a product of this interplay within complex regulatory networks. We also suggest experimental strategies that will provide further insight into the mechanisms that underlie T cell lineage specification and plasticity.
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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.