Literature DB >> 25362052

Single-cell mass cytometry of TCR signaling: amplification of small initial differences results in low ERK activation in NOD mice.

Michael Mingueneau1, Smita Krishnaswamy2, Matthew H Spitzer3, Sean C Bendall3, Erica L Stone4, Stephen M Hedrick4, Dana Pe'er2, Diane Mathis5, Garry P Nolan3, Christophe Benoist5.   

Abstract

Signaling from the T-cell receptor (TCR) conditions T-cell differentiation and activation, requiring exquisite sensitivity and discrimination. Using mass cytometry, a high-dimensional technique that can probe multiple signaling nodes at the single-cell level, we interrogate TCR signaling dynamics in control C57BL/6 and autoimmunity-prone nonobese diabetic (NOD) mice, which show ineffective ERK activation after TCR triggering. By quantitating signals at multiple steps along the signaling cascade and parsing the phosphorylation level of each node as a function of its predecessors, we show that a small impairment in initial pCD3ζ activation resonates farther down the signaling cascade and results in larger defects in activation of the ERK1/2-S6 and IκBα modules. This nonlinear property of TCR signaling networks, which magnifies small initial differences during signal propagation, also applies in cells from B6 mice activated at different levels of intensity. Impairment in pCD3ζ and pSLP76 is not a feedback consequence of a primary deficiency in ERK activation because no proximal signaling defect was observed in Erk2 KO T cells. These defects, which were manifest at all stages of T-cell differentiation from early thymic pre-T cells to memory T cells, may condition the imbalanced immunoregulation and tolerance in NOD T cells. More generally, this amplification of small initial differences in signal intensity may explain how T cells discriminate between closely related ligands and adopt strongly delineated cell fates.

Entities:  

Keywords:  CyTOF; NOD; diabetes; signaling; single-cell

Mesh:

Substances:

Year:  2014        PMID: 25362052      PMCID: PMC4246343          DOI: 10.1073/pnas.1419337111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

1.  Defective central tolerance induction in NOD mice: genomics and genetics.

Authors:  Silvia Zucchelli; Phil Holler; Tetsuya Yamagata; Matthew Roy; Christophe Benoist; Diane Mathis
Journal:  Immunity       Date:  2005-03       Impact factor: 31.745

2.  Systems biology. Conditional density-based analysis of T cell signaling in single-cell data.

Authors:  Smita Krishnaswamy; Matthew H Spitzer; Michael Mingueneau; Sean C Bendall; Oren Litvin; Erica Stone; Dana Pe'er; Garry P Nolan
Journal:  Science       Date:  2014-10-23       Impact factor: 47.728

3.  Sequestration of CD4-associated Lck from the TCR complex may elicit T cell hyporesponsiveness in nonobese diabetic mice.

Authors:  J Zhang; K Salojin; T L Delovitch
Journal:  J Immunol       Date:  1998-02-01       Impact factor: 5.422

4.  Defective activation of p21ras in peripheral blood mononuclear cells from patients with insulin dependent diabetes mellitus.

Authors:  M J Rapoport; A Mor; P Vardi; Y Ramot; O Levi; T Bistritzer
Journal:  Autoimmunity       Date:  1999       Impact factor: 2.815

5.  Generalized resistance to thymic deletion in the NOD mouse; a polygenic trait characterized by defective induction of Bim.

Authors:  Adrian Liston; Sylvie Lesage; Daniel H D Gray; Lorraine A O'Reilly; Andreas Strasser; Aude M Fahrer; Richard L Boyd; Judith Wilson; Alan G Baxter; Elena M Gallo; Gerald R Crabtree; Kaiman Peng; Susan R Wilson; Christopher C Goodnow
Journal:  Immunity       Date:  2004-12       Impact factor: 31.745

6.  The role of erk1 and erk2 in multiple stages of T cell development.

Authors:  April M Fischer; Carol D Katayama; Giles Pagès; Jacques Pouysségur; Stephen M Hedrick
Journal:  Immunity       Date:  2005-10       Impact factor: 31.745

7.  Following a diabetogenic T cell from genesis through pathogenesis.

Authors:  J D Katz; B Wang; K Haskins; C Benoist; D Mathis
Journal:  Cell       Date:  1993-09-24       Impact factor: 41.582

8.  Enhanced pathogenicity of diabetogenic T cells escaping a non-MHC gene-controlled near death experience.

Authors:  Caroline-Morgane Choisy-Rossi; Thomas M Holl; Melissa A Pierce; Harold D Chapman; David V Serreze
Journal:  J Immunol       Date:  2004-09-15       Impact factor: 5.422

9.  Impaired plasma membrane targeting of Grb2-murine son of sevenless (mSOS) complex and differential activation of the Fyn-T cell receptor (TCR)-zeta-Cbl pathway mediate T cell hyporesponsiveness in autoimmune nonobese diabetic mice.

Authors:  K Salojin; J Zhang; M Cameron; B Gill; G Arreaza; A Ochi; T L Delovitch
Journal:  J Exp Med       Date:  1997-09-15       Impact factor: 14.307

10.  Failure to censor forbidden clones of CD4 T cells in autoimmune diabetes.

Authors:  Sylvie Lesage; Suzanne B Hartley; Srinivas Akkaraju; Judith Wilson; Michelle Townsend; Christopher C Goodnow
Journal:  J Exp Med       Date:  2002-11-04       Impact factor: 14.307

View more
  26 in total

Review 1.  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 2.  Advancing systems immunology through data-driven statistical analysis.

Authors:  Linda E Fong; Andrés R Muñoz-Rojas; Kathryn Miller-Jensen
Journal:  Curr Opin Biotechnol       Date:  2018-04-12       Impact factor: 9.740

3.  Unifying mechanism for different fibrotic diseases.

Authors:  Gerlinde Wernig; Shih-Yu Chen; Lu Cui; Camille Van Neste; Jonathan M Tsai; Neeraja Kambham; Hannes Vogel; Yaso Natkunam; D Gary Gilliland; Garry Nolan; Irving L Weissman
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-19       Impact factor: 11.205

4.  Systems biology. Conditional density-based analysis of T cell signaling in single-cell data.

Authors:  Smita Krishnaswamy; Matthew H Spitzer; Michael Mingueneau; Sean C Bendall; Oren Litvin; Erica Stone; Dana Pe'er; Garry P Nolan
Journal:  Science       Date:  2014-10-23       Impact factor: 47.728

Review 5.  Mass Cytometry: Single Cells, Many Features.

Authors:  Matthew H Spitzer; Garry P Nolan
Journal:  Cell       Date:  2016-05-05       Impact factor: 41.582

6.  Imbalanced signal transduction in regulatory T cells expressing the transcription factor FoxP3.

Authors:  Dapeng Yan; Julia Farache; Michael Mingueneau; Diane Mathis; Christophe Benoist
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-16       Impact factor: 11.205

7.  High-Dimensional Data Analysis Algorithms Yield Comparable Results for Mass Cytometry and Spectral Flow Cytometry Data.

Authors:  Laura Ferrer-Font; Johannes U Mayer; Samuel Old; Ian F Hermans; Jonathan Irish; Kylie M Price
Journal:  Cytometry A       Date:  2020-04-15       Impact factor: 4.355

Review 8.  Single-cell proteomic analysis.

Authors:  Thai Pham; Ankush Tyagi; Yu-Sheng Wang; Jia Guo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-08-03

9.  Multiparameter analysis of stimulated human peripheral blood mononuclear cells: A comparison of mass and fluorescence cytometry.

Authors:  Katherine J Nicholas; Allison R Greenplate; David K Flaherty; Brittany K Matlock; Juan San Juan; Rita M Smith; Jonathan M Irish; Spyros A Kalams
Journal:  Cytometry A       Date:  2015-11-24       Impact factor: 4.355

Review 10.  Emerging Proteomic Technologies Provide Enormous and Underutilized Potential for Brain Cancer Research.

Authors:  Qiang Tian; Vineet Sangar; Nathan D Price
Journal:  Mol Cell Proteomics       Date:  2015-09-25       Impact factor: 5.911

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.