Evidence map›Paper›PMID 34053052›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2021

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

Rossana Franzin, Alessandra Stasi, Giuseppe Castellano, Loreto Gesualdo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Circulating CD28Journal of translational medicine · 2026
    Article
  2. Review
  3. Review
  4. High percentage of bone marrow CD8Blood science (Baltimore, Md.) · 2024
    Article
  5. COVID-19 and cellular senescence.Nature reviews. Immunology · 2023
    Review
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Rossana FranzinDepartment of Emergency and Organ Transplantation, Nephrology, Dialysis and Transplantation Unit, University of Bari "A. Moro", Bari, Italy. rossana.franzin@uniba.it.
Alessandra StasiDepartment of Emergency and Organ Transplantation, Nephrology, Dialysis and Transplantation Unit, University of Bari "A. Moro", Bari, Italy.
Giuseppe CastellanoNephrology, Dialysis and Transplantation Unit, Department of Medical and Surgical Science, University of Foggia, Foggia, Italy.
Loreto GesualdoDepartment of Emergency and Organ Transplantation, Nephrology, Dialysis and Transplantation Unit, University of Bari "A. Moro", Bari, Italy.
University of Bari Aldo Moro · ITUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cellular SenescenceImmunosenescenceCD28 AntigensCyclin-Dependent Kinase Inhibitor p16Flow CytometryGenomicsHumansLectins, C-TypeLeukocyte Common AntigensMetabolomicsReceptors, ImmunologicRNA-SeqSingle-Cell AnalysisT-Lymphocyte SubsetsTumor MicroenvironmentCD28 AntigensCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16KLRG1 protein, humanLectins, C-TypeLeukocyte Common AntigensPTPRC protein, humanReceptors, ImmunologicCD28 negative cellsCD45RAImmunosenescenceKLRG-1Multicolor flow cytometryp16inkaSenescence Associated Secretory PhenotypeSingle-cell RNA sequencingT-cell exhaustion

Identifiers

PMID34053052
OpenAlexW3165863037

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.