Literature DB >> 18719282

Variability and robustness in T cell activation from regulated heterogeneity in protein levels.

Ofer Feinerman1, Joël Veiga, Jeffrey R Dorfman, Ronald N Germain, Grégoire Altan-Bonnet.   

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.

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Year:  2008        PMID: 18719282      PMCID: PMC2673522          DOI: 10.1126/science.1158013

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  23 in total

1.  Design principles of a bacterial signalling network.

Authors:  Markus Kollmann; Linda Løvdok; Kilian Bartholomé; Jens Timmer; Victor Sourjik
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

Review 2.  Stochasticity in gene expression: from theories to phenotypes.

Authors:  Mads Kaern; Timothy C Elston; William J Blake; James J Collins
Journal:  Nat Rev Genet       Date:  2005-06       Impact factor: 53.242

3.  Contributions of low molecule number and chromosomal positioning to stochastic gene expression.

Authors:  Attila Becskei; Benjamin B Kaufmann; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2005-08-07       Impact factor: 38.330

4.  Variability and memory of protein levels in human cells.

Authors:  Alex Sigal; Ron Milo; Ariel Cohen; Naama Geva-Zatorsky; Yael Klein; Yuvalal Liron; Nitzan Rosenfeld; Tamar Danon; Natalie Perzov; Uri Alon
Journal:  Nature       Date:  2006-11-19       Impact factor: 49.962

5.  Noise in protein expression scales with natural protein abundance.

Authors:  Arren Bar-Even; Johan Paulsson; Narendra Maheshri; Miri Carmi; Erin O'Shea; Yitzhak Pilpel; Naama Barkai
Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

Review 6.  T cells as a self-referential, sensory organ.

Authors:  Mark M Davis; Michelle Krogsgaard; Morgan Huse; Johannes Huppa; Bjoern F Lillemeier; Qi-jing Li
Journal:  Annu Rev Immunol       Date:  2007       Impact factor: 28.527

7.  T cell activation determined by T cell receptor number and tunable thresholds.

Authors:  A Viola; A Lanzavecchia
Journal:  Science       Date:  1996-07-05       Impact factor: 47.728

8.  Robustness in simple biochemical networks.

Authors:  N Barkai; S Leibler
Journal:  Nature       Date:  1997-06-26       Impact factor: 49.962

9.  Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise.

Authors:  John R S Newman; Sina Ghaemmaghami; Jan Ihmels; David K Breslow; Matthew Noble; Joseph L DeRisi; Jonathan S Weissman
Journal:  Nature       Date:  2006-05-14       Impact factor: 49.962

10.  Modeling T cell antigen discrimination based on feedback control of digital ERK responses.

Authors:  Grégoire Altan-Bonnet; Ronald N Germain
Journal:  PLoS Biol       Date:  2005-10-25       Impact factor: 8.029

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  175 in total

1.  Polyfunctional responses by human T cells result from sequential release of cytokines.

Authors:  Qing Han; Neda Bagheri; Elizabeth M Bradshaw; David A Hafler; Douglas A Lauffenburger; J Christopher Love
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-12       Impact factor: 11.205

2.  Stable IL-2 decision making by endogenous c-Fos amounts in peripheral memory T-helper cells.

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Journal:  J Biol Chem       Date:  2012-04-03       Impact factor: 5.157

Review 3.  Mapping the life histories of T cells.

Authors:  Ton N M Schumacher; Carmen Gerlach; Jeroen W J van Heijst
Journal:  Nat Rev Immunol       Date:  2010-08-06       Impact factor: 53.106

4.  A mathematical framework for analyzing T cell receptor scanning of peptides.

Authors:  Andreas Jansson
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

5.  Variability in G-protein-coupled signaling studied with microfluidic devices.

Authors:  Xiaoyan Robert Bao; Iain D C Fraser; Estelle A Wall; Stephen R Quake; Melvin I Simon
Journal:  Biophys J       Date:  2010-10-20       Impact factor: 4.033

6.  Predicting cytotoxic T-cell age from multivariate analysis of static and dynamic biomarkers.

Authors:  Catherine A Rivet; Abby S Hill; Hang Lu; Melissa L Kemp
Journal:  Mol Cell Proteomics       Date:  2010-12-30       Impact factor: 5.911

Review 7.  Signal Transduction at the Single-Cell Level: Approaches to Study the Dynamic Nature of Signaling Networks.

Authors:  L Naomi Handly; Jason Yao; Roy Wollman
Journal:  J Mol Biol       Date:  2016-07-16       Impact factor: 5.469

Review 8.  Evolution of acquired resistance to anti-cancer therapy.

Authors:  Jasmine Foo; Franziska Michor
Journal:  J Theor Biol       Date:  2014-03-25       Impact factor: 2.691

Review 9.  Biochemical signaling pathways for memory T cell recall.

Authors:  Donna L Farber
Journal:  Semin Immunol       Date:  2009-04       Impact factor: 11.130

Review 10.  Navigating the network: signaling cross-talk in hematopoietic cells.

Authors:  Iain D C Fraser; Ronald N Germain
Journal:  Nat Immunol       Date:  2009-03-19       Impact factor: 25.606

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