The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Gene expression profiling of replicative and induced senescence
Open accessAbstract
Cellular senescence is a cell cycle arrest accompanied by high expression of cyclin dependent kinase inhibitors which counteract overactive growth signals, which serves as a tumor suppressive mechanism. Senescence can be a result of telomere shortening (natural or replicative senescence) or DNA damage resulting from exogenous stressors (induced senescence). Here, we performed gene expression profiling through RNA-seq of replicative senescence, adriamycin-induced senescence, H2O2-induced senescence, and 5-aza-2-deoxycytidine-induced senescence in order to profile the pathways controlling various types of senescence. Overall, the pathways common to all 4 types of senescence were related to inflammation and the innate immune system. It was also evident that 5-aza-induced senescence mirrors natural replicative senescence due to telomere shortening. We also examined the prevalence of senescence-associated secretory phenotype (SASP) factors in the RNA-seq data, showing that it is a common characteristic of all 4 types of senescence. In addition, we could discriminate changes in gene expression due to quiescence during cellular senescence from those that were specific to senescence.
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“Using publicly available RNA-seq data, we demonstrated applicability across tissues and species and also found that SenMayo performed better than six existing senescence/SASP gene panels14,42–46.”
From A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues (2022) · cites this paper as [43]
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“SenMayo consistently outperformed these gene sets (based on normalized enrichment scores [NES] and p values) both in the ability to identify senescent cells with aging across tissues and species and in demonstrating responses to senescent cell clearance.”
From A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues (2022) · cites this paper as [43]
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“However, cell-cycle arrest, changes in gene expression and phenotypic changes that accompany cellular senescence constitute serious restrictions in the functionality of different cell types [119].”
From Ageing, Cellular Senescence and Neurodegenerative Disease (2018) · cites this paper as [119]
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Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
A biomarker that identifies senescent human cells in culture and in aging skin in vivo.
Dimri, G. P., Lee, X., Basile, G., Acosta, M., Scott, G., Roskelley, C., Medrano, E. E., Linskens, M., Rubelj, I., & Pereira-Smith, O. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.20.9363 · Cited by 7,477
The limited in vitro lifetime of human diploid cell strains
Hayflick, L. (1965) · Experimental Cell Research · doi:10.1016/0014-4827(65)90211-9 · Cited by 5,876
The senescence-associated secretory phenotype: the dark side of tumor suppression
Coppé, J.-P., Desprez, P.-Y., Krtolica, A., & Campisi, J. (2010) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-121808-102144 · Cited by 5,206
Pleiotropy, natural selection, and the evolution of senescence.
Williams, G. C. (1957) · Evolution · doi:10.1111/j.1558-5646.1957.tb02911.x · Cited by 4,279
Journal of Biological Chemistry
Kurkinensp, M., CondongT, M. R., Blumberg, B., Barlow, D. P., Quiñones, S., Sausg, J., & Pihlajaniemisyy, T. (2021) · Journal of Biological Chemistry · doi:10.1074/jbc · Cited by 3,427
A complex secretory program orchestrated by the inflammasome controls paracrine senescence
Acosta, J. C., Banito, A., Wuestefeld, T., Georgilis, A., Janich, P., Morton, J. P., Athineos, D., Kang, T.-W., Lasitschka, F., Andrulis, M., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2784 · Cited by 2,278 · cited 1×
“This up-regulation of inflammatory factors during aging could be the cause of the senescence-associated secretory phenotype, which causes a secretion of inflammatory factors to the surrounding environment leading to bystander senescence of nearby cells or even transformation of nearby pre-malignant cells.(30) However,…”
BackgroundThe essence of senescence: Figure 1.
Kuilman, T., Michaloglou, C., Mooi, W. J., & Peeper, D. S. (2010) · Genes & Development · doi:10.1101/gad.1971610 · Cited by 2,038
Research works printed but not linked: 6
- 10.1016/S0962-8924(01)02151-1 · DOI · Paper page
- Roninson IB, 2003, Cancer Res, 63, 2705
- Bischoff FZ, 1990, Cancer Res, 50, 7979
- Nelson G, 2012, Aging Cell
- Untergasser G, 2002, Cancer Res, 62, 6255
- Grandjenette C, 2014, Neoplasia
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Sorted by citations
A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues
Saul, D., Kosinsky, R. L., Atkinson, E. J., Doolittle, M. L., Zhang, X., LeBrasseur, N. K., Pignolo, R. J., Robbins, P. D., Niedernhofer, L. J., Ikeno, Y., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32552-1 · Cited by 1,022
Ageing, Cellular Senescence and Neurodegenerative Disease
Kritsilis, M., V. Rizou, S., Koutsoudaki, P. N., Evangelou, K., Gorgoulis, V. G., & Papadopoulos, D. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19102937 · Cited by 448
SHP2 is required for growth of KRAS-mutant non-small-cell lung cancer in vivo
Mainardi, S., Mulero-Sánchez, A., Prahallad, A., Germano, G., Bosma, A., Krimpenfort, P., Lieftink, C., Steinberg, J. D., de Wit, N., Gonçalves-Ribeiro, S., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0023-9 · Cited by 320
Cellular Senescence in Neurodegenerative Diseases
Martínez‐Cué, C., & Rueda, N. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00016 · Cited by 299
The Cancer SENESCopedia: A delineation of cancer cell senescence
Jochems, F., Thijssen, B., De Conti, G., Jansen, R., Pogacar, Z., Groot, K., Wang, L., Schepers, A., Wang, C., Jin, H., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109441 · Cited by 201
Metadata
- Authors
- Purcell, M., Kruger, A., & Tainsky, M. A.
- Affiliations
- Wayne State University (US)
- Applied Genomics Technology Center at Wayne State University
- Corresponding author
- Tainsky, Michael A
- ORCID
- Tainsky, Michael A
- Venue
- Cell Cycle
- Publisher
- Informa UK Limited
- Published
- 2014-12-15
- Volume
- 13
- Issue
- 24
- Pages
- 3927-3937
- ISSN
- 1538-4101 (ISSN-L)
- 1551-4005
- PMC
- PMC4615143
- OpenAlex
- W2127506701
- Cited by
- 132
- References
- 41
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 14 · 2023: 9 · 2022: 9 · 2021: 13 · 2020: 13 · 2019: 11 · 2018: 13 · 2017: 7 · 2016: 8 · 2015: 3
- FWCI
- 3.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cell Cycle (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Wayne State University (P30 CA 022453)
- Barbara Ann Karmanos Cancer Institute (P30 CA022453)
- National Cancer Institute (P30CA022453)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- cellular senescence, replicative senescence, induced senescence, telomere shortening, hydrogen peroxide-induced senescence, senescence-associated secretory phenotype, inflammation, innate immune system, quiescence, gene expression profiling, cyclin-dependent kinase inhibitors
- MeSH terms
- Decitabine, Azacitidine, Doxorubicin, Humans, Hydrogen Peroxide, Interleukin-1, Gene Expression, Cellular Senescence, Sequence Analysis, RNA, Gene Expression Profiling, Cell Line, Tumor, Cyclin A2
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