Literature DB >> 34053052

Methods for Characterization of Senescent Circulating and Tumor-Infiltrating T-Cells: An Overview from Multicolor Flow Cytometry to Single-Cell RNA Sequencing.

Rossana Franzin1, Alessandra Stasi2, Giuseppe Castellano3, Loreto Gesualdo2.   

Abstract

Immunosenescence is the general term used to describe the aging-associated decline of immunological function that explains the higher susceptibility to infectious diseases and cancer, increased autoimmunity, or the reduced effectiveness of vaccinations. Senescence of CD8+ T-cells has been described in all these conditions.The most important classical markers of T senescent cells are the cell cycle inhibitors p16ink4a, p21, and p53, together with positivity for SA-βgal expression and the acquirement of a peculiar IFNγ -based secretory phenotype commonly defined SASP (Senescence Associated Secretory Phenotype). Other surface markers are the CD28 and CD27 loss together with gain of expression of CD45RA, CD57, TIGIT, and/or KLRG1. However, this characterization could not be sufficient to distinguish from truly senescent cells and exhausted T-cells. Furthermore, more complexity is added by the wide heterogeneity of T-cells subset in aged individuals or in the tumor microenvironment. A combined analysis by multicolor flow cytometry for surface and intracellular markers integrated with gene-expression arrays and single-cell RNA sequencing is required to develop effective interventions for therapeutic modulation of specific T-cell subsets. The RNASeq offers the great possibility to reveal at single-cell resolution the exact molecular hallmarks of senescent CD8+ T-cells without the limitations of bulk analysis. Furthermore, the comprehensive integration of multidimensional approaches (genomics, epigenomics, proteomics, metabolomics) will increase our global understanding of how immunosenescence of T-cells is interlinked to human aging.

Entities:  

Keywords:  CD28 negative cells; CD45RA; Immunosenescence; KLRG-1; Multicolor flow cytometry; Senescence Associated Secretory Phenotype; Single-cell RNA sequencing; T-cell exhaustion; p16inka

Year:  2021        PMID: 34053052     DOI: 10.1007/978-1-0716-1507-2_6

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


  48 in total

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Journal:  Aging Dis       Date:  2011-10       Impact factor: 6.745

Review 2.  CD4 T cells: fates, functions, and faults.

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Journal:  Blood       Date:  2008-09-01       Impact factor: 22.113

Review 3.  Replicative senescence in the immune system: impact of the Hayflick limit on T-cell function in the elderly.

Authors:  R B Effros
Journal:  Am J Hum Genet       Date:  1998-05       Impact factor: 11.025

4.  T cell cultures and the Hayflick limit.

Authors:  R B Effros; R L Walford
Journal:  Hum Immunol       Date:  1984-01       Impact factor: 2.850

Review 5.  T cell anergy, exhaustion, senescence, and stemness in the tumor microenvironment.

Authors:  Joel Crespo; Haoyu Sun; Theodore H Welling; Zhigang Tian; Weiping Zou
Journal:  Curr Opin Immunol       Date:  2013-01-06       Impact factor: 7.486

Review 6.  Sorting through subsets: which T-cell populations mediate highly effective adoptive immunotherapy?

Authors:  Christopher A Klebanoff; Luca Gattinoni; Nicholas P Restifo
Journal:  J Immunother       Date:  2012 Nov-Dec       Impact factor: 4.456

Review 7.  T cell replicative senescence in human aging.

Authors:  Jennifer P Chou; Rita B Effros
Journal:  Curr Pharm Des       Date:  2013       Impact factor: 3.116

8.  Long-term culture of monoclonal human T lymphocytes: models for immunosenescence?

Authors:  M Adibzadeh; H Pohla; A Rehbein; G Pawelec
Journal:  Mech Ageing Dev       Date:  1995-09-15       Impact factor: 5.432

9.  Rapid turnover of the CD8(+)CD28(-) T-cell subset of effector cells in the circulation of patients with head and neck cancer.

Authors:  Takashi Tsukishiro; Albert D Donnenberg; Theresa L Whiteside
Journal:  Cancer Immunol Immunother       Date:  2003-06-19       Impact factor: 6.968

10.  The impact of immunosenescence on the efficacy of immune checkpoint inhibitors in melanoma patients: a meta-analysis.

Authors:  Ping Li; Xuefang Yang; Yumiao Feng; Lijuan Wu; Wei Ma; Gaozhong Ding; Yun Wei; Lan Sun
Journal:  Onco Targets Ther       Date:  2018-10-26       Impact factor: 4.147

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  2 in total

Review 1.  T cell dysfunction in glioblastoma: a barrier and an opportunity for the development of successful immunotherapies.

Authors:  Josephina A Jansen; Antonio Omuro; Liliana E Lucca
Journal:  Curr Opin Neurol       Date:  2021-12-01       Impact factor: 5.710

Review 2.  COVID-19 and cellular senescence.

Authors:  Clemens A Schmitt; Tamar Tchkonia; Laura J Niedernhofer; Paul D Robbins; James L Kirkland; Soyoung Lee
Journal:  Nat Rev Immunol       Date:  2022-10-05       Impact factor: 108.555

  2 in total

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