Evidence map›Paper›PMID 30765770›Full record

ArticleScientific reports2019

Autofluorescence is a Reliable in vitro Marker of Cellular Senescence in Human Mesenchymal Stromal Cells.

Alessandro Bertolo, Martin Baur, Julien Guerrero, Tobias Pötzel, Jivko Stoyanov

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
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  10. RNA sequencing identifiesCytotechnology · 2025
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  13. A Redox-Shifted Fibroblast Subpopulation Emerges in the Fibrotic Lung.American journal of respiratory cell and molecular biology · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Deciphering the aging process through single-cell cytometric technologies.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Review

3 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 1 country.

Alessandro BertoloSwiss Paraplegic Research, Nottwil, 6207, Switzerland.
Martin BaurCantonal Hospital of Lucerne, Lucerne, 6000, Switzerland.
Julien GuerreroDepartment of Biomedicine and Tissue Engineering, University of Basel Hospital, Basel, 4031, Switzerland.
Tobias PötzelSwiss Paraplegic Centre, Nottwil, 6207, Switzerland.
Jivko StoyanovSwiss Paraplegic Research, Nottwil, 6207, Switzerland. jivko.stoyanov@paraplegie.ch.
Swiss Paraplegic Research · CHUniversity of Basel · CHUniversity of Bern · CHUniversity of Lucerne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stromal cells (MSC) are used in cell therapies, however cellular senescence increases heterogeneity of cell populations and leads to uncertainty in therapies' outcomes. The determination of cellular senescence is time consuming and logistically intensive. Here, we propose the use of endogenous autofluorescence as real-time quantification of cellular senescence in human MSC, based on label-free flow cytometry analysis. We correlated cell autofluorescence to senescence using senescence-associated beta-galactosidase assay (SA-β-Gal) with chromogenic (X-GAL) and fluorescent (C

Indexed as

AdipogenesisAdolescentAdultAgedBiomarkersBone Marrow CellsCell DifferentiationCell ProliferationCells, CulturedCell SizeCellular SenescenceChondrogenesisFemaleFluorescenceHumansMaleBiomarkers

Identifiers

PMID30765770
PMCPMC6376004
OpenAlexW2912681434

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.