Evidence map›Paper›PMID 26009982›Full record

ArticleAging cell2015

Retinoblastoma protein promotes oxidative phosphorylation through upregulation of glycolytic genes in oncogene-induced senescent cells.

Shin-Ichiro Takebayashi, Hiroshi Tanaka, Shinjiro Hino, Yuko Nakatsu, Tomoka Igata, Akihisa Sakamoto, Masashi Narita, Mitsuyoshi Nakao

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2015. 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
3.2field-weighted citation impact, top 8% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Mitochondrial regulation of cellular senescence heterogeneity.Frontiers in cell and developmental biology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. The impact of cellular senescence on aging skeletal muscle.Frontiers in cell and developmental biology · 2025
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Therapy-Induced Senescence Contributes to the Efficacy of Abemaciclib in Patients with Dedifferentiated Liposarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  17. Article
  18. Functional Profiling of Soft Tissue Sarcoma Using Mechanistic Models.International journal of molecular sciences · 2023
    Article
  19. Retinoblastoma: present scenario and future challenges.Cell communication and signaling : CCS · 2023
    Review
  20. 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

8 authors at 2 institutions in 2 countries.

Shin-Ichiro TakebayashiDepartment of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Hiroshi TanakaDepartment of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Shinjiro HinoDepartment of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Yuko NakatsuDepartment of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Tomoka IgataDepartment of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Akihisa SakamotoDepartment of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Masashi NaritaCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK.
Mitsuyoshi NakaoDepartment of Medical Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Kumamoto University · JPCancer Research UK Cambridge Center · GB

Funding

Cancer Research UK 15890
6 · The paper itself

Abstract

Metabolism is closely linked with cellular state and biological processes, but the mechanisms controlling metabolic properties in different contexts remain unclear. Cellular senescence is an irreversible growth arrest induced by various stresses, which exhibits active secretory and metabolic phenotypes. Here, we show that retinoblastoma protein (RB) plays a critical role in promoting the metabolic flow by activating both glycolysis and mitochondrial oxidative phosphorylation (OXPHOS) in cells that have undergone oncogene-induced senescence (OIS). A combination of real-time metabolic monitoring, and metabolome and gene expression analyses showed that OIS-induced fibroblasts developed an accelerated metabolic flow. The loss of RB downregulated a series of glycolytic genes and simultaneously reduced metabolites produced from the glycolytic pathway, indicating that RB upregulates glycolytic genes in OIS cells. Importantly, both mitochondrial OXPHOS and glycolytic activities were abolished in RB-depleted or downstream glycolytic enzyme-depleted OIS cells, suggesting that RB-mediated glycolytic activation induces a metabolic flux into the OXPHOS pathway. Collectively, our findings reveal that RB essentially functions in metabolic remodeling and the maintenance of the active energy production in OIS cells.

Indexed as

Gene Expression Regulation, NeoplasticGenes, rasOxidative PhosphorylationCell Line, TumorCellular SenescenceCitric Acid CycleEpithelial CellsGene Expression ProfilingGlycolysisHumansMitochondriaRespiratory MucosaRetinoblastoma ProteinSignal TransductionRetinoblastoma Proteingene regulationglycolysismetabolic remodelingoncogene-induced senescenceoxidative phosphorylationretinoblastoma protein

Identifiers

PMID26009982
PMCPMC4531082
OpenAlexW1546551973

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.