Evidence map›Paper›PMID 26546448›Full record

ArticleAging2015

Circular RNAs in monkey muscle: age-dependent changes.

Kotb Abdelmohsen, Amaresh C Panda, Supriyo De, Ioannis Grammatikakis, Jiyoung Kim, Jun Ding, Ji Heon Noh, Kyoung Mi Kim, Julie A Mattison, Rafael de Cabo and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

79 citing papers in PubMed, 153 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. An Update on Neuroaging on Earth and in Spaceflight.International journal of molecular sciences · 2025
    Review
  5. CircularRNA and Musculoskeletal Diseases.Advances in experimental medicine and biology · 2025
    Review
  6. Article
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  8. Article
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  10. Review
  11. Review
  12. Article
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  17. Article
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  19. Article
  20. Circular RNAs: Emblematic Players of Neurogenesis and Neurodegeneration.International journal of molecular sciences · 2022
    Review

19 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

Kotb AbdelmohsenLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Amaresh C PandaLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Supriyo DeLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Ioannis GrammatikakisLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Jiyoung KimLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Jun DingLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Ji Heon NohLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Kyoung Mi KimLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Julie A MattisonTranslational Gerontology Branch, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Rafael de CaboTranslational Gerontology Branch, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
Myriam GorospeLaboratory of Genetics, National Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, USA.
National Institutes of Health · USNational Institute on Aging · USInstitute on Aging · US

Funding

Influence of Post-transcriptional Gene Regulation on Cell Senescence and AgingZIAAG000393 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$24.1M
Aging Intervention StudiesZIAAG000356 · NIA · NATIONAL INSTITUTE ON AGING · PI MATTISON, JULIE · 2013 to 2025
$21.7M
Intramural NIH HHS
6 · The paper itself

Abstract

Circular RNAs (circRNAs) have been identified in numerous species, including human, mouse, nematode, and coelacanth. They are believed to function as regulators of gene expression at least in part by sponging microRNAs. Here, we describe the identification of circRNAs in monkey (Rhesus macaque) skeletal muscle. RNA sequencing analysis was employed to identify and annotate ~12,000 circRNAs, including numerous circular intronic RNAs (ciRNAs), from skeletal muscle of monkeys of a range of ages. Reverse transcription followed by real-time quantitative (q)PCR analysis verified the presence of these circRNAs, including the existence of several highly abundant circRNAs, and the differential abundance of a subset of circRNAs as a function of age. Taken together, our study has documented systematically circRNAs expressed in skeletal muscle and has identified circRNAs differentially abundant with advancing muscle age. We propose that some of these circRNAs might influence muscle function.

Indexed as

Age FactorsAnimalsMacaca mulattaMuscle, SkeletalReal-Time Polymerase Chain ReactionRNARNA, CircularSequence Analysis, RNARNARNA, Circularagingpost-transcriptional gene regulationribonucleoprotein complexRNA-sequencingsplicing

Identifiers

PMID26546448
PMCPMC4694061
OpenAlexW2316548777

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.