ReviewCold Spring Harbor perspectives in biology2010
Perspectives for computer modeling in the study of T cell activation.
Review in Cold Spring Harbor perspectives in biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Bayesian metamodeling of early T-cell antigen receptor signaling accounts for its nanoscale activation patterns.Frontiers in immunology · 2024Article
- A Rapid Translational Immune Response Program in CD8 Memory T Lymphocytes.Journal of immunology (Baltimore, Md. : 1950) · 2022Article
- Regulation of T Helper Cell Fate by TCR Signal Strength.Frontiers in immunology · 2020Review
- Dissection of mechanical force in living cells by super-resolved traction force microscopy.Nature protocols · 2017Article
- Affinity and dose of TCR engagement yield proportional enhancer and gene activity in CD4+ T cells.eLife · 2016Article
- Experimental and theoretical bases for mechanisms of antigen discrimination by T cells.Biophysics (Nagoya-shi, Japan) · 2015Review
- A new look at T cell receptor signaling to nuclear factor-κB.Trends in immunology · 2013Review
- Systems biology in vaccine design.Microbial biotechnology · 2012Review
- Cross-reactivity of T cells and its role in the immune system.Critical reviews in immunology · 2012Review
- The role of bioinformatics in studying rheumatic and autoimmune disorders.Nature reviews. Rheumatology · 2011Article
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.
Funding
Abstract
The T cell receptor (TCR) is responsible for discriminating between self- and foreign-derived peptides, translating minute differences in amino-acid sequence into large differences in response. Because of the great variability in the TCR and its ligands, activation of T cells by foreign peptides is a quantitative process, dependent on a mix of upstream signals and downstream integration. Accordingly, quantitative data and computational models have shed light on many important aspects of this process: molecular noise in ligand recognition, spatial dynamics in T cell-APC (antigen presenting cell) interactions, graded versus all-or-none decision making by the TCR apparatus, mechanisms of peptide antagonism and synergism, and the tunability and robustness of activation thresholds. Though diverse in their formalism, these studies together paint a picture of how modeling has shaped and will continue to shape understanding of T cell immunobiology.
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.