Evidence map›Paper›PMID 27999563›Full record

ReviewFrontiers in endocrinology2016

Role of lncRNAs in Cellular Aging.

Ufuk Degirmenci, Sun Lei

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Review
  2. Review
  3. Molecular mechanisms of aging and anti-aging strategies.Cell communication and signaling : CCS · 2024
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Involvement of lncRNA TUG1 in HIV-1 Tat-Induced Astrocyte Senescence.International journal of molecular sciences · 2023
    Article
  10. Article
  11. Article
  12. Aging mechanisms-A perspective mostly fromAdvanced genetics (Hoboken, N.J.) · 2020
    Article
  13. Review
  14. Review
  15. Wandering along the epigenetic timeline.Clinical epigenetics · 2020
    Review
  16. Review
  17. Article
  18. LncRNAs Regulatory Networks in Cellular Senescence.International journal of molecular sciences · 2019
    Review
  19. Long Noncoding RNA and Epithelial Mesenchymal Transition in Cancer.International journal of molecular sciences · 2019
    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

2 authors.

Ufuk DegirmenciInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore; Department of Biological Sciences, National University of Singapore, Singapore.
Sun LeiInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore; Programme in Cardiovascular and Metabolic Disorders, Duke-NUS, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is a universal, intrinsic, and time-dependent biological decay that is linked to intricate cellular processes including cellular senescence, telomere shortening, stem cell exhaustion, mitochondrial dysfunction, and deregulated metabolism. Cellular senescence is accepted as one of the core processes of aging at the organism level. Understanding the molecular mechanism underlying senescence could facilitate the development of potential therapeutics for aging and age-related diseases. Recently, the discovery of long non-coding RNAs (lncRNA) provided insights into a novel regulatory layer that can intervene with cellular senescence. Increasing evidence indicates that targeting lncRNAs may impact on senescence pathways. In this review, we will focus on lncRNAs involved in mechanistic pathways governing cellular senescence.

Indexed as

aginglncRNAp16p21p53PRCSASPsenescence

Identifiers

PMID27999563
PMCPMC5138193

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.