SASP regulation by noncoding RNA
Open accessAbstract
Noncoding RNAs (ncRNAs), including micro (mi)RNAs, long noncoding (lnc)RNAs, and circular (circ)RNAs, control specific gene expression programs by regulating transcriptional, post-transcriptional, and post-translational processes. Through their broad influence on protein expression and function, ncRNAs have been implicated in virtually all cellular processes such as proliferation, senescence, quiescence, differentiation, apoptosis, and the stress and immune responses. Senescence is a cellular phenotype associated with the physiologic decline of aging and with age-related pathologies. Besides their characteristic terminal growth arrest and differential gene expression programs, senescent cells are known to secrete potent pro-inflammatory, angiogenic, and tissue-remodeling factors. This important trait, known as the senescence-associated secretory phenotype (SASP), influences many biological processes such as tissue repair and regeneration, tumorigenesis, and the aging-associated pro-inflammatory state. Here, we review the microRNAs, lncRNAs, and circRNAs that influence the production of SASP factors and discuss the rising interest in SASP-regulatory ncRNAs as diagnostic and therapeutic targets.
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Noncoding RNAs also regulate the SASP.
“Noncoding RNAs also regulate the SASP (Panda et al., 2017).”
From Cellular Senescence: Defining a Path Forward (2019) · cites this paper as Panda et al., 2017
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Cellular Senescence: Defining a Path Forward
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Measuring biological aging in humans: a quest
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Transcriptome signature of cellular senescence
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MicroRNAs, Long Non-Coding RNAs, and Circular RNAs in the Redox Control of Cell Senescence
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- Authors
- Panda, A. C., Abdelmohsen, K., & Gorospe, M.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Abdelmohsen, Kotb
- Venue
- Mechanisms of Ageing and Development
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 168
- Pages
- 37-43
- ISSN
- 0047-6374 (ISSN-L)
- PMC
- PMC5681880
- OpenAlex
- W2613104259
- Cited by
- 86
- References
- 108
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 9 · 2023: 7 · 2022: 13 · 2021: 13 · 2020: 15 · 2019: 12 · 2018: 5 · 2017: 2
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Mechanisms of Ageing and Development (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging Intramural Research Program, NIH
- Topics
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- senescence-associated secretory phenotype, non-coding RNA, microRNA, long non-coding RNA, circular RNA, cellular senescence, aging, inflammation, tissue repair, carcinogenesis, post-transcriptional regulation, diagnostic and therapeutic targets
- MeSH terms
- RNA, Circular, Age Factors, Aging, Animals, Gene Expression Regulation, Humans, Phenotype, RNA, Signal Transduction, Cellular Senescence, Inflammation Mediators, RNA, Untranslated, MicroRNAs, Intercellular Signaling Peptides and Proteins, Angiogenic Proteins, RNA, Long Noncoding
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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