ArticleGenome biology2015
The senescent methylome and its relationship with cancer, ageing and germline genetic variation in humans.
Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.
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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.
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Who cites it
25 citing papers in PubMed, 46 citations in OpenAlex.
- DNA Methylation Signatures of Cellular Senescence Are Not Reversed by Senolytic Treatment.Aging cell · 2026Article
- Intracellular HIV-1 Tat regulator induces epigenetic changes in the DNA methylation landscape.Frontiers in immunology · 2025Article
- An expedited screening platform for the discovery of anti-ageing compounds in vitro and in vivo.Genome medicine · 2024Article
- Author Correction: The senescent methylome and its relationship with cancer, ageing and germline genetic variation in humans.Genome biology · 2024Article
- Yearning for machine learning: applications for the classification and characterisation of senescence.Cell and tissue research · 2023Review
- Review
- Review
- Metabolic Alterations in Cellular Senescence: The Role of Citrate in Ageing and Age-Related Disease.International journal of molecular sciences · 2022Review
- Article
- High-Resolution Cartography of the Transcriptome and Methylome Landscapes of Diffuse Gliomas.Cancers · 2021Article
- Article
- EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data.Genome biology · 2020Article
- Targeting cellular senescence in cancer and aging: roles of p53 and its isoforms.Carcinogenesis · 2020Review
- Review
- Tissue-specific DNA methylation loss during ageing and carcinogenesis is linked to chromosome structure, replication timing and cell division rates.Nucleic acids research · 2018Article
- Interrupted reprogramming into induced pluripotent stem cells does not rejuvenate human mesenchymal stromal cells.Scientific reports · 2018Article
- MicroRNA Changes in Firefighters.Journal of occupational and environmental medicine · 2018Article
- DNA Methylation Patterns in Normal Tissue Correlate more Strongly with Breast Cancer Status than Copy-Number Variants.EBioMedicine · 2018Article
- DNA Methylation Patterns Separate Senescence from Transformation Potential and Indicate Cancer Risk.Cancer cell · 2018Article
- SV-BR-1-GM, a Clinically Effective GM-CSF-Secreting Breast Cancer Cell Line, Expresses an Immune Signature and Directly Activates CD4Frontiers in immunology · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCellular senescence is a stable arrest of proliferation and is considered a key component of processes associated with carcinogenesis and other ageing-related phenotypes. Here, we perform methylome analysis of actively dividing and deeply senescent normal human epithelial cells.
resultsWe identify senescence-associated differentially methylated positions (senDMPs) from multiple experiments using cells from one donor. We find that human senDMP epigenetic signatures are positively and significantly correlated with both cancer and ageing-associated methylation dynamics. We also identify germline genetic variants, including those associated with the p16INK4A locus, which are associated with the presence of in vivo senDMP signatures. Importantly, we also demonstrate that a single senDMP signature can be effectively reversed in a newly-developed protocol of transient senescence reversal.
conclusionsThe senDMP signature has significant potential for understanding some of the key (epi)genetic etiological factors that may lead to cancer and age-related diseases in humans.
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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.