Cited by 818T-cell and B-cell ImmunologyPsoriasis: Treatment and PathogenesisImmunotherapy and Immune Responses

The who's who of T ‐cell differentiation: Human memory T ‐cell subsets

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Mahnke, Yolanda D., Brodie, Tess M., Sallusto, Federica, Roederer, Mario, Lugli, Enrico·2013·European Journal of Immunology

Abstract

Following antigen encounter and subsequent resolution of the immune response, a single naïve T cell is able to generate multiple subsets of memory T cells with different phenotypic and functional properties and gene expression profiles. Single‐cell technologies, first and foremost flow cytometry, have revealed the complex heterogeneity of the memory T ‐cell compartment and its organization into subsets. However, a consensus has still to be reached, both at the semantic (nomenclature) and phenotypic level, regarding the identification of these subsets. Here, we review recent developments in the characterization of the heterogeneity of the memory T ‐cell compartment, and propose a unified classification of both human and nonhuman primate T cells on the basis of phenotypic traits and in vivo properties. Given that vaccine studies and adoptive cell transfer immunotherapy protocols are influenced by these recent findings, it is important to use uniform methods for identifying and discussing functionally distinct subsets of T cells.

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Crossref · 10.1002/eji.201343751

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  • Multidimensional flow cytometry with up to 40 parameters enables deeper phenotyping and characterization of the immune system, which is required as cellular subsets require more and more markers for accurate definition.

    “Multidimensional flow cytometry with up to 40 parameters enables a deeper phenotyping and characterization of the immune system, which is required as cellular subsets require more and more markers for accurate definition [81].”

    From Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition) (2021) · cites this paper as [81]

    The Introduction says flow cytometry enables single-cell phenotyping, and “Why multiple makers are necessary” explains why more markers can improve the identification of naïve T-cell subsets. But the paper reports 18 markers for fluorescence-based flow cytometry and 34 parameters for mass cytometry, not up to 40 parameters for flow cytometry. Its discussion of marker requirements concerns T-cell subsets rather than cellular subsets across the immune system. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • TCMs further differentiated into transitional memory T cells (TTMs) in vitro during viral outgrowth.

    “Moreover, by tSNE, we confirmed that TCMs further differentiated into transitional memory T cells (TTMs) in vitro during viral outgrowth (Figures 4C and 4D) as a logical consequence after stimulation.”

    From Revealing viral and cellular dynamics of HIV-1 at the single-cell level during early treatment periods (2023) · cites this paper as [51]

    The ‘Additional memory T-cell subsets’ section places transitional memory T cells at a more differentiated stage than TCM cells, and ‘Central and effector memory T cells defined by function’ describes TCM cells as progenitors of more differentiated cells. The review does not report TCM-to-TTM differentiation in vitro during viral outgrowth; that specific observation is presented as the citing authors’ own finding. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • The patient showed increased number of CD8+ T cells, which showed a more activated and differentiated phenotype as indicated by an elevated proportion of HLA-DR+ or CD38+ cells.

    “The patient showed increased number of CD8 + T cells, which showed a more activated and differentiated phenotype as indicated by an elevated proportion of HLA-DR + or CD38 + cells (7).”

    From A Novel Homozygous RHOH Variant Associated with T Cell Dysfunction and Recurrent Opportunistic Infections (2024) · cites this paper as [7]

    Table 1 (Concluding remarks; page unavailable) lists HLA-DR and CD38 under activation, supporting their use as activation markers. It does not support treating a higher proportion of cells positive for either marker as evidence of greater differentiation; the table shows CD38 expression declining across the listed differentiation stages. The paper does not report the citing authors’ patient observation. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • A small population of memory T cells with elevated proliferative and self-renewal capacities has been identified within the CD45RA+CCR7+ naïve T-cell gate; these are stem cell-like memory (Tscm) cells and can be distinguished from truly naïve T cells based on FAS receptor (CD95) expression.

    “a small population of memory T cells endowed with elevated proliferative and self-renewal capacities has been identified within the CD45RA+CCR7+ naïve T-cell gate. These cells have been termed stem cell-like memory (Tscm) cells [140] and can be distinguished from truly naïve T cells based on the expression of the FAS receptor (CD95) (Figure 8A) [81].”
  • Both the CD4+ and CD8+ T-cell subsets displayed a significantly lower proportion of CD28+ cells, suggesting a decrease in naïve T cells.

    “Both the CD4 + and CD8 + T-cell subsets displayed a signi cantly lower proportion of CD28 + cells, suggesting a decrease in naïve T cell which express a high level of differentiation marker CD28 (7).”

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Research works printed but not linked: 3

  1. Cebrian, M., Carrera, A. D., De Landazuri, M. and Acevedo, A., In McMichael, A. (Ed.), Leukocyte typing, Oxford University Press, Oxford 1987, p. 823.
  2. C 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.eji-journal.eu
  3. C 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.eji-journal.eu 15214141, 2013, 11, · DOI

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Authors
Mahnke, Y. D., Brodie, T. M., Sallusto, F., Roederer, M., & Lugli, E.
Affiliations
  • University of Pennsylvania (US)
  • Institute for Research in Biomedicine (CH)
  • National Institutes of Health (US)
  • Humanitas University (IT)
Corresponding author
  • Roederer, Mario
  • Lugli, Enrico
Venue
European Journal of Immunology
Publisher
Wiley
Published
2013-10-30
Volume
43
Issue
11
Pages
2797-2809
ISSN
  • 0014-2980 (ISSN-L)
  • 1521-4141
OpenAlex
W1572743872
Cited by
817
References
113
Citations by year
2026: 25 · 2025: 42 · 2024: 64 · 2023: 76 · 2022: 100 · 2021: 93 · 2020: 105 · 2019: 81 · 2018: 71 · 2017: 53 · 2016: 37 · 2015: 39 · 2014: 28 · 2013: 1
FWCI
3.05
Type
journal article
Language
en
Open access
Locations
  • European Journal of Immunology (publishedVersion)
  • PubMed (publishedVersion)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
Funders
  • National Science Foundation
  • European Commission (241745, 322093)
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (131092)
  • Fondazione Cariplo (2012-0683)
  • Associazione Italiana per la Ricerca sul Cancro
  • National Institutes of Health
  • National Institute of Allergy and Infectious Diseases
  • FP7 Health
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
Keywords
memory T cells, T cell differentiation, T cell memory subsets, T cell heterogeneity, T cell phenotype, vaccine immunology, adoptive cell transfer, single-cell technologies
MeSH terms
Cell Differentiation, Humans, Immunologic Memory, Lymphocyte Activation, Gene Expression, T-Lymphocyte Subsets, Immunotherapy, Adoptive, Adoptive Transfer

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