Evidence map›Paper›PMID 25585637›Full record

ArticleAging2014

Gerosuppression in confluent cells.

Olga V Leontieva, Mikhail V Blagosklonny

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. S6 kinase 1 at the central node of cell size and ageing.Frontiers in cell and developmental biology · 2022
    Review
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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.

Olga V LeontievaDepartment of Cell Stress Biology, Roswell Park Cancer Institute, Elms and Carlson Streets, Buffalo, NY 14263, USA.
Mikhail V BlagosklonnyDepartment of Cell Stress Biology, Roswell Park Cancer Institute, Elms and Carlson Streets, Buffalo, NY 14263, USA.
Roswell Park Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most physiological type of cell cycle arrest - namely, contact inhibition in dense culture - is the least densely studied. Despite cell cycle arrest, confluent cells do not become senescent. We recently described that mTOR (target of rapamycin) is inactive in contact-inhibited cells. Therefore, conversion from reversible arrest to senescence (geroconversion) is suppressed. I this Perspective, we further extended the gerosuppression model. While causing senescence in regular cell density, etoposide failed to cause senescence in contact-inhibited cells. A transient reactivation of mTOR favored geroconversion in etoposide-treated confluent cells. Like p21, p16 did not cause senescence in high cell density. We discuss that suppression of geroconversion in confluent and contact-inhibited cultures mimics gerosuppression in the organism. We confirmed that levels of p-S6 were low in murine tissues in the organism compared with mouse embryonic fibroblasts in cell culture, whereas p-Akt was reciprocally high in the organism.

Indexed as

Cell Cycle CheckpointsCellular SenescenceContact InhibitionAnimalsCell LineCell ProliferationCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p21EtoposideFibroblastsHumansMicePhosphorylationProto-Oncogene Proteins c-aktRibosomal Protein S6 KinasesSignal TransductionCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p21EtoposideMTOR protein, humanProto-Oncogene Proteins c-aktRibosomal Protein S6 KinasesTOR Serine-Threonine Kinases

Identifiers

PMID25585637
PMCPMC4298362
OpenAlexW2185948088

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.