ReviewJCO clinical cancer informatics2019
Understanding the Dynamics of T-Cell Activation in Health and Disease Through the Lens of Computational Modeling.
Review in JCO clinical cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- A Systematic Review of the Efforts and Hindrances of Modeling and Simulation of CAR T-cell Therapy.The AAPS journal · 2021Pooled it
- An Entropy-Based Approach to Model Selection with Application to Single-Cell Time-Stamped Snapshot Data.Entropy (Basel, Switzerland) · 2025Article
- An Entropy-Based Approach to Model Selection with Application to Single-Cell Time-Stamped Snapshot Data.bioRxiv : the preprint server for biology · 2025Article
- Mechanical forces amplify TCR mechanotransduction in T cell activation and function.Applied physics reviews · 2024Review
- Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties.NPJ systems biology and applications · 2024Article
- Design and mathematical analysis of activating transcriptional amplifiers that enable modular temporal control in synthetic juxtacrine circuits.Synthetic and systems biotechnology · 2023Article
- Article
- Intrinsic Disorder in the T Cell Receptor Creates Cooperativity and Controls ZAP70 Binding.Biophysical journal · 2021Article
- Modeling Radioimmune Response-Current Status and Perspectives.Frontiers in oncology · 2021Review
- Modeling immune cell behavior across scales in cancer.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- ERK Activation in CAR T Cells Is Amplified by CD28-Mediated Increase in CD3ζ Phosphorylation.iScience · 2020Article
- Toward Systems Biomarkers of Response to Immune Checkpoint Blockers.Frontiers in oncology · 2020Review
- Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data.Journal of the Royal Society, Interface · 2020Article
- Integrative Approaches to Cancer Immunotherapy.Trends in cancer · 2019Review
- Introduction to Mathematical Oncology.JCO clinical cancer informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
T cells in the immune system are activated by binding to foreign peptides (from an external pathogen) or mutant peptide (derived from endogenous proteins) displayed on the surface of a diseased cell. This triggers a series of intracellular signaling pathways, which ultimately dictate the response of the T cell. The insights from computational models have greatly improved our understanding of the mechanisms that control T-cell activation. In this review, we focus on the use of ordinary differential equation-based mechanistic models to study T-cell activation. We highlight several examples that demonstrate the models' utility in answering specific questions related to T-cell activation signaling, from antigen discrimination to the feedback mechanisms that initiate transcription factor activation. In addition, we describe other modeling approaches that can be combined with mechanistic models to bridge time scales and better understand how intracellular signaling events, which occur on the order of seconds to minutes, influence phenotypic responses of T-cell activation, which occur on the order of hours to days. Overall, through concrete examples, we emphasize how computational modeling can be used to enable the rational design and optimization of immunotherapies.
Indexed as
Identifiers
What OpenQuestion holds
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.