Evidence map›Paper›PMID 32776262›Full record

ArticleBiogerontology2020

Multiparameter flow cytometric detection and quantification of senescent cells in vitro.

Adeolu Badi Adewoye, Dimitris Tampakis, Antonia Follenzi, Alexandra Stolzing

Open access · hybridAbstract read
In one paragraph

Article in Biogerontology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Multiparametric identification of putative senescent cells in skeletal muscle via mass cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Article
  7. Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Basic Methods of Cell Cycle Analysis.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Cellular Senescence: Molecular Targets, Biomarkers, and Senolytic Drugs.International journal of molecular sciences · 2022
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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 2 countries.

Adeolu Badi AdewoyeCentre for Biological Engineering, School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, LE11 3TU, UK.ORCID 0000-0002-5082-5321
Dimitris TampakisCentre for Biological Engineering, School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, LE11 3TU, UK.
Antonia FollenziDepartment of Health Sciences, Università del Piemonte Orientale "A. Avogadro,", 28100, Novara, Italy.ORCID 0000-0001-9780-300X
Alexandra StolzingCentre for Biological Engineering, School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, LE11 3TU, UK. a.stolzing@lboro.ac.uk.ORCID 0000-0002-2975-5736
Loughborough University · GBUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

Horizon 2020 Framework Programme No. 667421
6 · The paper itself

Abstract

It has been over half a century since cellular senescence was first noted and characterized, and yet no consensus senescent marker has been reliably established. This challenge is compounded by the complexity and heterogenic phenotypes of senescent cells. This necessitates the use of multiple biomarkers to confidently characterise senescent cells. Despite cytochemical staining of senescence associated-beta-galactosidase being a single marker approach, as well as being time and labour-intensive, it remains the most popular detection method. We have developed an alternative flow cytometry-based method that simultaneously quantifies multiple senescence markers at a single-cell resolution. In this study, we applied this assay to the quantification of both replicative and induced senescent primary cells. Using this assay, we were able to quantify the activity level of SA β-galactosidase, the expression level of p16

Indexed as

Cellular SenescenceCyclin-Dependent Kinase Inhibitor p16Flow CytometryHistonesbeta-GalactosidaseBiomarkersCells, Culturedbeta-GalactosidaseBiomarkersCyclin-Dependent Kinase Inhibitor p16HistonesAgingFlow cytometryMesenchymal stem cellsQuantificationSenescence

Identifiers

PMID32776262
PMCPMC7541365
OpenAlexW3048272802

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.