Assessing cell and organ senescence biomarkers
Open accessAbstract
A major goal in cancer and aging research is to discriminate the biochemical modifications that happen locally that could account for the healthiness or malignancy of tissues. Senescence is one general antiproliferative cellular process that acts as a strong barrier for cancer progression, playing a crucial role in aging. Here, we focus on the current methods to assess cellular senescence, discriminating the advantages and disadvantages of several senescence biomarkers.
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p16INK4A and p21CIP1 expression and SAβgal activity were used as markers of senescent cells.
“Expression of p16INK4A and p21CIP1 were both used as markers of senescent cells, as was SAβgal activity [50,51].”
Senescent cells are recognized by markers including p16INK4A and increased lysosome β-galactosidase activity, although these markers are neither fully sensitive nor specific and no gold-standard biomarker of cellular senescence has been established.
“Senescent cells are recognized by specific markers, including cyclin-dependent kinase inhibitor 2A (commonly known as p16INK4A) and increased lysosome β-galactosidase activity, although these markers are neither fully sensitive nor specific and, despite intense research, no gold-standard biomarker of cellular senescence has been established90.”
From Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty (2018) · cites this paper as [90]
Common markers used to identify senescent cells in histological sections are senescence associated beta-galactosidase expression, the cyclin inhibitor p16/INK or the DNA damage response protein gamma-H2AX, but these techniques are rarely combined.
“To identify senescent cells in histological section by immunocytochemistry or immunofluorescence, the most common markers used are senescence associated galactosidase (SA gal) expression, the cyclin inhibitor p16/INK or the DNA damage response protein H2AX however these techniques are rarely combined [55].”
From Senescence of T Lymphocytes: Implications for Enhancing Human Immunity (2016) · cites this paper as [55]
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- Authors
- de Jesus, B. B., & Blasco, M. A.
- Affiliations
- From the Telomeres and Telomerase Group, Molecular Oncology Program, Spanish National Cancer Centre (CNIO), Madrid, Spain.
- Venue
- Circulation Research
- Published
- 2012-06-22
- Volume
- 111
- Issue
- 1
- Pages
- 97-109
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- PMC
- PMC4824275
- OpenAlex
- W2097942030
- Semantic Scholar
- 24ec5011ed34912ebf7a84c15c5320f843b3b0be
- Cited by
- 187
- References
- 220
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 20 · 2023: 11 · 2022: 7 · 2021: 20 · 2020: 17 · 2019: 12 · 2018: 17 · 2017: 17 · 2016: 19 · 2015: 8 · 2014: 6 · 2013: 9 · 2012: 2
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Geriatrics and Gerontology › Sirtuins and Resveratrol in Medicine
- Keywords
- cellular senescence, senescence biomarkers, aging, tumor progression
- MeSH terms
- Aging, Animals, Genetic Markers, Genotype, Humans, Oncogenes, Phenotype, Biomarkers, Telomere, Cellular Senescence, Telomere Shortening
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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