Evidence map›Paper›PMID 23296652›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2013

Biomarkers of cell senescence assessed by imaging cytometry.

Hong Zhao, Zbigniew Darzynkiewicz

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
8.9field-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

40 citing papers in PubMed, 64 citations in OpenAlex.

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  12. Emerging role of cellular senescence in normal lung development and perinatal lung injury.Chinese medical journal pulmonary and critical care medicine · 2024
    Article
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  14. Review
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  20. Lessons in aging from Myc knockout mouse models.Frontiers in cell and developmental biology · 2023
    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

2 authors at 1 institution in 1 country.

Hong ZhaoDepartment of Pathology, Brander Cancer Research Institute, New York Medical College, Valhalla, NY, USA.
Zbigniew Darzynkiewicz
Cancer Research Institute · US

Funding

PROBES FOR FLOW CYTOMETRYR01CA028704 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI DARZYNKIEWICZ, ZBIGNIEW · 1985 to 2014
$6.0M
NCI NIH HHS R01 CA028704PHS HHS R01 28 704
6 · The paper itself

Abstract

The characteristic features of senescent cells such as their "flattened" appearance, enlarged nuclei and low saturation density at the plateau phase of cell growth, can be conveniently measured by image-assisted cytometry such as provided by a laser scanning cytometer (LSC). The "flattening" of senescent cells is reflected by a decline in local density of DNA-associated staining with 4,6-diamidino-2-phenylindole (DAPI) and is paralleled by an increase in nuclear area. Thus, the ratio of the maximal intensity of DAPI fluorescence per nucleus to the nuclear area provides a very sensitive morphometric biomarker of "depth" of senescence, which progressively declines during senescence induction. Also recorded is cellular DNA content revealing cell cycle phase, as well as the saturation cell density at plateau phase of growth, which is dramatically decreased in cultures of senescent cells. Concurrent immunocytochemical analysis of expression of p21(WAF1), p16(INK4a), or p27(KIP1) cyclin kinase inhibitors provides additional markers of senescence. These biomarker indices can be expressed in quantitative terms ("senescence indices") as a fraction of the same markers of the exponentially growing cells in control cultures.

Indexed as

Cellular SenescenceBiomarkersCell Line, TumorHumansImage CytometryImmunohistochemistrySpectrometry, FluorescenceStaining and LabelingBiomarkers

Identifiers

PMID23296652
PMCPMC3541526
OpenAlexW2163556451

What OpenQuestion holds

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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.