ReviewNature reviews. Immunology2010
Pairing computation with experimentation: a powerful coupling for understanding T cell signalling.
Review in Nature reviews. Immunology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed.
- Origin of the clock inFrontiers in molecular biosciences · 2025Review
- McSNAC: A software to approximate first-order signaling networks from mass cytometry data.Quantitative biology (Beijing, China) · 2023Article
- Understanding the Dynamics of T-Cell Activation in Health and Disease Through the Lens of Computational Modeling.JCO clinical cancer informatics · 2019Review
- Mathematical modeling identifies Lck as a potential mediator for PD-1 induced inhibition of early TCR signaling.PloS one · 2018Article
- Mathematical Models for Immunology: Current State of the Art and Future Research Directions.Bulletin of mathematical biology · 2016Review
- Mathematics in modern immunology.Interface focus · 2016Review
- HIV-1 Virion Production from Single Inducible Proviruses following T-Cell Activation Ex Vivo.Journal of virology · 2016Article
- Designing and Interpreting Limiting Dilution Assays: General Principles and Applications to the Latent Reservoir for Human Immunodeficiency Virus-1.Open forum infectious diseases · 2015Review
- The pool of preactivated Lck in the initiation of T-cell signaling: a critical re-evaluation of the Lck standby model.Immunology and cell biology · 2015Article
- Signal transduction: From the atomic age to the post-genomic era.Cold Spring Harbor perspectives in biology · 2014Review
- Modelling biological behaviours with the unified modelling language: an immunological case study and critique.Journal of the Royal Society, Interface · 2014Article
- Modeling the T cell immune response: a fascinating challenge.Journal of pharmacokinetics and pharmacodynamics · 2014Review
- Changing face of vaccination in immunocompromised hosts.Current infectious disease reports · 2014Article
- Mathematical modelling and computational study of two-dimensional and three-dimensional dynamics of receptor-ligand interactions in signalling response mechanisms.Journal of mathematical biology · 2014Article
- In vitro membrane reconstitution of the T-cell receptor proximal signaling network.Nature structural & molecular biology · 2014Article
- The duration of T cell stimulation is a critical determinant of cell fate and plasticity.Science signaling · 2013Article
- Replication-competent noninduced proviruses in the latent reservoir increase barrier to HIV-1 cure.Cell · 2013Article
- Biochemical heterogeneity and developmental varieties in T-cell leukemia.Cell cycle (Georgetown, Tex.) · 2013Article
- A stochastic T cell response criterion.Journal of the Royal Society, Interface · 2012Article
- Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlations.Journal of the Royal Society, Interface · 2012Article
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.
Funding
Abstract
T cells are activated when extracellular stimuli, such as a ligand binding to the T cell receptor, are converted into functional outputs by the T cell signalling network. T cell receptor signalling is a highly complex, stochastic and dynamic process involving many interacting proteins. This complexity often confounds intuition, making it difficult to develop mechanistic principles that underly experimental observations. In this Review, we describe how computational approaches can partner successfully with biological experimentation to help address this challenge, and we illustrate this paradigm by summarizing recent work that shows new aspects of the T cell signalling network.
Indexed as
Identifiers
20029448What 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.