Evidence map›Paper›PMID 37626855›Full record

ArticleCells2023

Mass Cytometry as a Tool for Investigating Senescence in Multiple Model Systems.

Amina Abdul-Aziz, Raymond D Devine, Justin M Lyberger, Hsiaochi Chang, Amy Kovacs, James R Lerma, Andrew M Rogers, John C Byrd, Erin Hertlein, Gregory K Behbehani

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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
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

10 authors at 4 institutions in 1 country.

Amina Abdul-AzizDepartment of Internal Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Raymond D DevineDepartment of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Justin M LybergerDepartment of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Hsiaochi ChangDepartment of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Amy KovacsDepartment of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
James R LermaDepartment of Internal Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Andrew M RogersMaine Medical Center, Portland, ME 04102, USA.
John C ByrdDepartment of Internal Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Erin HertleinDepartment of Internal Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Gregory K BehbehaniDepartment of Medicine, Division of Hematology, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
The Ohio State University · USUniversity of Cincinnati · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USTufts University · US

Funding

Impact of the senescent bone marrow microenvironment in AML biologyK99CA246083 · NCI · UNIVERSITY OF CINCINNATI · PI ABDUL-AZIZ, AMINA · 2020 to 2022
$240k
NCI NIH HHS K99 CA246083
6 · The paper itself

Abstract

Cellular senescence is a durable cell cycle arrest as a result of the finite proliferative capacity of cells. Senescence responds to both intrinsic and extrinsic cellular stresses, such as aging, mitochondrial dysfunction, irradiation, and chemotherapy. Here, we report on the use of mass cytometry (MC) to analyze multiple model systems and demonstrate MC as a platform for senescence analysis at the single-cell level. We demonstrate changes to p16 expression, cell cycling fraction, and histone tail modifications in several established senescent model systems and using isolated human T cells. In bone marrow mesenchymal stromal cells (BMSCs), we show increased p16 expression with subsequent passage as well as a reduction in cycling cells and open chromatin marks. In WI-38 cells, we demonstrate increased p16 expression with both culture-induced senescence and oxidative stress-induced senescence (OSIS). We also use Wanderlust, a trajectory analysis tool, to demonstrate how p16 expression changes with histone tail modifications and cell cycle proteins. Finally, we demonstrate that repetitive stimulation of human T cells with CD3/CD28 beads induces an exhausted phenotype with increased p16 expression. This p16-expressing population exhibited higher expression of exhaustion markers such as EOMES and TOX. This work demonstrates that MC is a useful platform for studying senescence at a single-cell protein level, and is capable of measuring multiple markers of senescence at once with high confidence, thereby improving our understanding of senescent pathways.

Indexed as

HistonesResearchAgingCD28 AntigensCell CycleHumansCD28 AntigensHistonesagingcell cycleimmunologymass cytometrysenescence

Identifiers

PMID37626855
PMCPMC10453346
OpenAlexW4385760234

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.