Evidence map›Paper›PMID 24036549›Full record

ArticleCell cycle (Georgetown, Tex.)2013

S6K in geroconversion.

Olga V Leontieva, Zoya N Demidenko, Mikhail V Blagosklonny

Open access · hybridAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 27 citations in OpenAlex.

  1. Senotherapy for chronic lung disease.Pharmacological reviews · 2025
    Review
  2. Article
  3. S6 kinase 1 at the central node of cell size and ageing.Frontiers in cell and developmental biology · 2022
    Review
  4. Ribosomal Protein S6: A Potential Therapeutic Target against Cancer?International journal of molecular sciences · 2021
    Review
  5. Review
  6. Article
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  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Article
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  17. Article
  18. Article
  19. Article
  20. Koschei the immortal and anti-aging drugs.Cell death & disease · 2014
    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

3 authors at 1 institution in 1 country.

Olga V LeontievaDepartment of Cell Stress Biology; Roswell Park Cancer Institute; Buffalo, NY USA.
Zoya N Demidenko
Mikhail V Blagosklonny
Roswell Park Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Markers of cellular senescence depend in part on the MTOR (mechanistic target of rapamycin) pathway. MTOR participates in geroconversion, a conversion from reversible cell cycle arrest to irreversible senescence. Recently we demonstrated that hyper-induction of cyclin D1 during geroconversion was mostly dependent on MEK, whereas rapamycin only partially inhibited cyclin D1 accumulation. Here we show that, while not affecting cyclin D1, siRNA for p70S6K partially prevented loss of RP (replicative/regenerative potential) during p21-induced cell cycle arrest. Similarly, an inhibitor of p70 S6 kinase (PF-4708671) partially inhibited phosphorylation of S6 and preserved RP, while only marginally prevented cyclin D1 induction. Thus S6K and MEK play different roles in geroconversion.

Indexed as

Cellular SenescenceAnimalsCell Cycle CheckpointsCell LineMiceMitogen-Activated Protein Kinase KinasesModels, BiologicalProtein Kinase InhibitorsRibosomal Protein S6 Kinases, 70-kDaRNA, Small InterferingMitogen-Activated Protein Kinase KinasesProtein Kinase InhibitorsRibosomal Protein S6 Kinases, 70-kDaRNA, Small Interferingagingcancercell cyclegrowthrapalogssenescence

Identifiers

PMID24036549
PMCPMC3885635
OpenAlexW1995951924

What OpenQuestion holds

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LicenceCC BY-NC
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.