Evidence map›Paper›PMID 37500655›Full record

ArticleNature communications2023

The intensities of canonical senescence biomarkers integrate the duration of cell-cycle withdrawal.

Humza M Ashraf, Brianna Fernandez, Sabrina L Spencer

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Pre-Encoded IFN-I Sensitivity Exacerbates Memory T Cell Senescence in Solid Tumors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Humza M AshrafDepartment of Biochemistry, University of Colorado, Boulder, CO, 80303, USA.
Brianna FernandezDepartment of Biochemistry, University of Colorado, Boulder, CO, 80303, USA.
Sabrina L SpencerDepartment of Biochemistry, University of Colorado, Boulder, CO, 80303, USA. sabrina.spencer@colorado.edu.ORCID 0000-0002-5798-3007

Funding

TRAINING IN SIGNAL TRANSDUCTION &CELL CYCLE REGULATIONT32GM008759 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI AHN, NATALIE G. · 2000 to 2020
$5.9M
Predoctoral Training Program in Signaling and Cellular Regulation INCLUDE Down Syndrome SupplementT32GM142607 · NIGMS · UNIVERSITY OF COLORADO · PI Sabrina Leigh Spencer, Tin Tin Su · 2021 to 2026
$3.6M
PROLIFERATION-QUIESCENCE CONTROL IN SINGLE CELLS: INTEGRATION OF MITOGEN, NUTRIENT, AND STRESS SIGNALINGDP2CA238330 · NCI · UNIVERSITY OF COLORADO · PI SPENCER, SABRINA LEIGH · 2018 to 2018
$2.3M
FACSAria Fusion Cell SorterS10OD021601 · OD · UNIVERSITY OF COLORADO · PI LIU, XUEDONG · 2016 to 2016
$599k
NCI NIH HHS DP2 CA238330NIGMS NIH HHS T32 GM008759NIGMS NIH HHS T32 GM142607NIH HHS S10 OD021601
6 · The paper itself

Abstract

Senescence, a state of irreversible cell-cycle withdrawal, is difficult to distinguish from quiescence, a state of reversible cell-cycle withdrawal. This difficulty arises because quiescent and senescent cells are defined by overlapping biomarkers, raising the question of whether these states are truly distinct. To address this, we use single-cell time-lapse imaging to distinguish slow-cycling cells that spend long periods in quiescence from cells that never cycle after recovery from senescence-inducing treatments, followed by staining for various senescence biomarkers. We find that the staining intensity of multiple senescence biomarkers is graded rather than binary and reflects the duration of cell-cycle withdrawal, rather than senescence per se. Together, our data show that quiescent and apparent senescent cells are nearly molecularly indistinguishable from each other at a snapshot in time. This suggests that cell-cycle withdrawal itself is graded rather than binary, where the intensities of senescence biomarkers integrate the duration of past cell-cycle withdrawal.

Indexed as

Cellular SenescenceBiomarkersCell CycleCell DivisionBiomarkers

Identifiers

PMID37500655
PMCPMC10374620

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.