Cell-to-cell variability and gain of methylation at polycomb CpG islands as a hallmark of aging

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Authors: Hagit Masika, Shmuel Ruppo, Stephen J. Clark, Marc Jan Bonder, Ferdinand von Meyenn, Merav Hecht, Shari Orlanski, Efrat Katsman, Oriya Vardi, Abraham Zlotogorski, Sharona Elgavish, Yuval Dor
+3 more Wolf Reik, Tommy Kaplan, Howard Cedar
Cited by: 1
References: 111

Abstract

Abstract Aging is a complex multifactorial process that affects cellular function and tissue homeostasis over time. Despite extensive research, the molecular mechanisms driving cellular aging remain poorly understood 1,2 . Many studies have focused on changes in DNA methylation as an indicator of aging 3 . In particular, the degree of methylation at polycomb CpG islands has been shown to be predictive of phenotypic changes associated with aging 4,5 . Since many age-related pathological processes, are thought to be of single-cell origin (e.g. cancer), we questioned whether polycomb DNA methylation also occurs preferentially in a subset of cells within the overall population. Using single-cell whole-genome methylation data from multiple ages and tissues, we identify Average Polycomb CpG Methylation as a hallmark of cellular aging. This revealed that aging occurs at varying rates within specific cells, with faster proliferating cells showing accelerated levels. Gene expression analysis in “young” and “old” single cells identified changes in immune response, translation regulation, tumorigenesis, neurodegeneration and other cellular processes associated with aging. These results challenge traditional models of homogeneous cellular aging and suggest that aging itself is a highly individualized process at the single-cell level that may be driven by programmed changes in polycomb CpG island DNA methylation.

Fields of Study & Subjects

Epigenetics and DNA Methylation Telomeres Telomerase and Senescence Cancer Cells and Metastasis

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
11 March 2026
Language
EN
Document type
Preprint