Literature DB >> 29882148

CD4+ T Cell Differentiation and Activation.

Jim Reed1, Scott A Wetzel2,3.   

Abstract

The activation and differentiation of CD4+ T cells play a critical role in establishing and subsequently controlling protective adaptive immune responses. Flow cytometry is a powerful technique with which to assess the potential of xenobiotics to influence CD4+ T cell activation and differentiation. With flow cytometry, cells are stained with fluorochrome-conjugated antibodies and/or specific fluorescent probes to assess T cell activation, proliferation, effector cytokine production, and transcription factor expression. This technique allows for complex phenotypic analysis of tens to hundreds of thousands of individual cells very rapidly to assess the potential impact of a xenobiotic on CD4 effector differentiation and activation state.

Entities:  

Keywords:  CD4+ T cells; Effector differentiation; Flow cytometry; T cell activation; TFH; TH1; TH17; TH2; TH9; Treg

Mesh:

Substances:

Year:  2018        PMID: 29882148      PMCID: PMC9524838          DOI: 10.1007/978-1-4939-8549-4_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  23 in total

1.  Control of regulatory T cell development by the transcription factor Foxp3.

Authors:  Shohei Hori; Takashi Nomura; Shimon Sakaguchi
Journal:  Science       Date:  2003-01-09       Impact factor: 47.728

Review 2.  TH1 and TH2 cells: different patterns of lymphokine secretion lead to different functional properties.

Authors:  T R Mosmann; R L Coffman
Journal:  Annu Rev Immunol       Date:  1989       Impact factor: 28.527

Review 3.  Th17: an effector CD4 T cell lineage with regulatory T cell ties.

Authors:  Casey T Weaver; Laurie E Harrington; Paul R Mangan; Maya Gavrieli; Kenneth M Murphy
Journal:  Immunity       Date:  2006-06       Impact factor: 31.745

4.  Interpreting flow cytometry data: a guide for the perplexed.

Authors:  Leonore A Herzenberg; James Tung; Wayne A Moore; Leonard A Herzenberg; David R Parks
Journal:  Nat Immunol       Date:  2006-07       Impact factor: 25.606

5.  Functional and epigenetic studies reveal multistep differentiation and plasticity of in vitro-generated and in vivo-derived follicular T helper cells.

Authors:  Kristina T Lu; Yuka Kanno; Jennifer L Cannons; Robin Handon; Paul Bible; Abdel G Elkahloun; Stacie M Anderson; Lai Wei; Hongwei Sun; John J O'Shea; Pamela L Schwartzberg
Journal:  Immunity       Date:  2011-10-20       Impact factor: 31.745

6.  The transcriptional repressor Bcl-6 directs T follicular helper cell lineage commitment.

Authors:  Di Yu; Sudha Rao; Louis M Tsai; Sau K Lee; Yiqing He; Elissa L Sutcliffe; Monika Srivastava; Michelle Linterman; Lei Zheng; Nicholas Simpson; Julia I Ellyard; Ian A Parish; Cindy S Ma; Qi-Jing Li; Christopher R Parish; Charles R Mackay; Carola G Vinuesa
Journal:  Immunity       Date:  2009-07-23       Impact factor: 31.745

7.  Interleukin-23 promotes a distinct CD4 T cell activation state characterized by the production of interleukin-17.

Authors:  Sudeepta Aggarwal; Nico Ghilardi; Ming-Hong Xie; Frederic J de Sauvage; Austin L Gurney
Journal:  J Biol Chem       Date:  2002-11-03       Impact factor: 5.157

8.  Interleukin-23 rather than interleukin-12 is the critical cytokine for autoimmune inflammation of the brain.

Authors:  Daniel J Cua; Jonathan Sherlock; Yi Chen; Craig A Murphy; Barbara Joyce; Brian Seymour; Linda Lucian; Wayne To; Sylvia Kwan; Tatyana Churakova; Sandra Zurawski; Maria Wiekowski; Sergio A Lira; Daniel Gorman; Robert A Kastelein; Jonathon D Sedgwick
Journal:  Nature       Date:  2003-02-13       Impact factor: 49.962

9.  Brefeldin A, but not monensin, enables flow cytometric detection of interleukin-4 within peripheral T cells responding to ex vivo stimulation with Chlamydia trachomatis.

Authors:  Rodolfo D Vicetti Miguel; Samantha A Maryak; Thomas L Cherpes
Journal:  J Immunol Methods       Date:  2012-07-29       Impact factor: 2.303

10.  Autoimmune disease as a consequence of developmental abnormality of a T cell subpopulation.

Authors:  M Asano; M Toda; N Sakaguchi; S Sakaguchi
Journal:  J Exp Med       Date:  1996-08-01       Impact factor: 14.307

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