ReviewFrontiers in cell and developmental biology2014
Computational modeling of heterogeneity and function of CD4+ T cells.
Review in Frontiers in cell and developmental biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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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Who cites it
21 citing papers in PubMed.
- The Neuroimmune Duality of CD4⁺ T Cells: Drivers of Damage and Repair in the Brain.Molecular neurobiology · 2026Review
- Towards early diagnosis of Alzheimer's disease: advances in immune-related blood biomarkers and computational approaches.Frontiers in immunology · 2024Review
- The GJB3 correlates with the prognosis, immune cell infiltration, and therapeutic responses in lung adenocarcinoma.Open medicine (Warsaw, Poland) · 2024Article
- Computational modeling of complex bioenergetic mechanisms that modulate CD4+ T cell effector and regulatory functions.NPJ systems biology and applications · 2022Article
- Effect of LncRNA XIST on Immune Cells of Primary Biliary Cholangitis.Frontiers in immunology · 2022Article
- Mathematical Modeling of Proliferative Immune Response Initiated by Interactions Between Classical Antigen-Presenting Cells Under Joint Antagonistic IL-2 and IL-4 Signaling.Frontiers in molecular biosciences · 2022Article
- Current and prospective computational approaches and challenges for developing COVID-19 vaccines.Advanced drug delivery reviews · 2021Review
- Multi-scale Dynamical Modeling of T Cell Development from an Early Thymic Progenitor State to Lineage Commitment.Cell reports · 2021Article
- Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.Frontiers in cell and developmental biology · 2021Review
- Immune Responses and Risk of Triple-negative Breast Cancer: Implications for Higher Rates among African American Women.Cancer prevention research (Philadelphia, Pa.) · 2020Review
- Gene Regulatory Network Modeling of Macrophage Differentiation Corroborates the Continuum Hypothesis of Polarization States.Frontiers in physiology · 2018Article
- Simulation of Stimulation: Cytokine Dosage and Cell Cycle Crosstalk Driving Timing-Dependent T Cell Differentiation.Frontiers in physiology · 2018Article
- Mathematical modeling identifies Lck as a potential mediator for PD-1 induced inhibition of early TCR signaling.PloS one · 2018Article
- Modeling the Mechanisms by Which HIV-Associated Immunosuppression Influences HPV Persistence at the Oral Mucosa.PloS one · 2017Article
- Modeling-Enabled Systems Nutritional Immunology.Frontiers in nutrition · 2016Review
- Mucosal Interactions between Genetics, Diet, and Microbiome in Inflammatory Bowel Disease.Frontiers in immunology · 2016Review
- Systems-wide analyses of mucosal immune responses to Helicobacter pylori at the interface between pathogenicity and symbiosis.Gut microbes · 2016Review
- Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection.PloS one · 2015Article
- Supervised learning methods in modeling of CD4+ T cell heterogeneity.BioData mining · 2015Article
- Multiscale modeling of mucosal immune responses.BMC bioinformatics · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The immune system is composed of many different cell types and hundreds of intersecting molecular pathways and signals. This large biological complexity requires coordination between distinct pro-inflammatory and regulatory cell subsets to respond to infection while maintaining tissue homeostasis. CD4+ T cells play a central role in orchestrating immune responses and in maintaining a balance between pro- and anti- inflammatory responses. This tight balance between regulatory and effector reactions depends on the ability of CD4+ T cells to modulate distinct pathways within large molecular networks, since dysregulated CD4+ T cell responses may result in chronic inflammatory and autoimmune diseases. The CD4+ T cell differentiation process comprises an intricate interplay between cytokines, their receptors, adaptor molecules, signaling cascades and transcription factors that help delineate cell fate and function. Computational modeling can help to describe, simulate, analyze, and predict some of the behaviors in this complicated differentiation network. This review provides a comprehensive overview of existing computational immunology methods as well as novel strategies used to model immune responses with a particular focus on CD4+ T cell differentiation.
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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.