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Science
Article
Data sources: UnpayWall
Science
Article . 2008 . Peer-reviewed
Data sources: Crossref
Science
Article . 2008
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Variability and Robustness in T Cell Activation from Regulated Heterogeneity in Protein Levels

Authors: Joël Veiga; Ronald N. Germain; Grégoire Altan-Bonnet; Jeffrey R. Dorfman; Ofer Feinerman;

Variability and Robustness in T Cell Activation from Regulated Heterogeneity in Protein Levels

Abstract

In T cells, the stochasticity of protein expression could contribute to the useful diversification of biological functions within a clonal population or interfere with accurate antigen discrimination. Combining computer modeling and single-cell measurements, we examined how endogenous variation in the expression levels of signaling proteins might affect antigen responsiveness during T cell activation. We found that the CD8 co-receptor fine-tunes activation thresholds, whereas the soluble hematopoietic phosphatase 1 (SHP-1) digitally regulates cell responsiveness. Stochastic variation in the expression of these proteins generates substantial diversity of activation within a clonal population of T cells, but co-regulation of CD8 and SHP-1 levels ultimately limits this very diversity. These findings reveal how eukaryotic cells can draw on regulated variation in gene expression to achieve phenotypic variability in a controlled manner.

Keywords

Feedback, Physiological, Mitogen-Activated Protein Kinase 3, CD8 Antigens, Protein Tyrosine Phosphatase, Non-Receptor Type 6, Models, Immunological, Receptors, Antigen, T-Cell, Mice, Transgenic, CD8-Positive T-Lymphocytes, Ligands, Lymphocyte Activation, Mice, Inbred C57BL, Mice, Gene Expression Regulation, Animals, Computer Simulation, Cells, Cultured, Signal Transduction

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    297
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
297
Top 1%
Top 1%
Top 1%
bronze