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PRC2 clock: a universal epigenetic biomarker of aging and rejuvenation
Abstract
DNA methylation (DNAm) is one of the most reliable biomarkers for aging across many mammalian tissues. While the age-dependent global loss of DNAm has been well characterized, age-dependent DNAm gain is less specified. Multiple studies have demonstrated that polycomb repressive complex 2 (PRC2) targets are enriched among the CpG sites which gain methylation with age. However, a systematic whole-genome examination of all PRC2 targets in the context of aging methylome as well as whether these associations are pan-tissue or tissue-specific is lacking. Here, by analyzing DNAm data from different assays and from multiple young and old human and mouse tissues, we found that low-methylated regions (LMRs) which are highly bound by PRC2 in embryonic stem cells gain methylation with age in all examined somatic mitotic cells. We also estimated that this epigenetic change represents around 90% of the age-dependent DNAm gain genome-wide. Therefore, we propose the “PRC2 clock,” defined as the average DNAm in PRC2 LMRs, as a universal biomarker of cellular aging in somatic cells. In addition, we demonstrate the application of this biomarker in the evaluation of different anti-aging interventions, including dietary restriction and partial epigenetic reprogramming.
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“Regardless of the development strategy, most current biomarkers of aging predict aging-related outcomes and identify factors associated with the pace of aging, in retrospective epidemiological studies 1-7.”
From Validation of biomarkers of aging (2024) · cites this paper as [2]
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DNA-binding factors shape the mouse methylome at distal regulatory regions
Stadler, M. B., Murr, R., Burger, L., Ivanek, R., Lienert, F., Schöler, A., Nimwegen, E. V., Wirbelauer, C., Oakeley, E. J., Gaidatzis, D., et al. (2011) · Nature · doi:10.1038/nature10716 · Cited by 1,383
Schlesinger, Y., Straussman, R., Keshet, I., Farkash, S., Hecht, M., Zimmerman, J., Eden, E., Yakhini, Z., Ben-Shushan, E., Reubinoff, B. E., et al. (2007) · Nature Genetics · doi:10.1038/ng1950 · Cited by 1,226
Epigenetic stem cell signature in cancer
Widschwendter, M., Fiegl, H., Egle, D., Mueller-Holzner, E., Spizzo, G., Marth, C., Weisenberger, D. J., Campan, M., Young, J., Jacobs, I., et al. (2007) · Nature Genetics · doi:10.1038/ng1941 · Cited by 1,143
Ohm, J. E., McGarvey, K. M., Yu, X., Cheng, L., Schuebel, K. E., Cope, L., Mohammad, H. P., Chen, W., Daniel, V. C., Yu, W., et al. (2007) · Nature Genetics · doi:10.1038/ng1972 · Cited by 1,130
DNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025
Self-citationIn Vivo Amelioration of Age-Associated Hallmarks by Partial Reprogramming.
Ocampo, A., Reddy, P., Martinez-Redondo, P., Platero-Luengo, A., Hatanaka, F., Hishida, T., Li, M., Lam, D., Kurita, M., Beyret, E., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.052 · Cited by 988
The central role of DNA damage in the ageing process
Schumacher, B., Pothof, J., Vijg, J., & Hoeijmakers, J. H. J. (2021) · Nature · doi:10.1038/s41586-021-03307-7 · Cited by 907
DNA methylation loss in late-replicating domains is linked to mitotic cell division
Zhou, W., Dinh, H. Q., Ramjan, Z., Weisenberger, D. J., Nicolet, C. M., Shen, H., Laird, P. W., & Berman, B. P. (2018) · Nature Genetics · doi:10.1038/s41588-018-0073-4 · Cited by 405
Self-citationSarkar, T. J., Quarta, M., Mukherjee, S., Colville, A., Paine, P., Doan, L., Tran, C. M., Chu, C. R., Horvath, S., Qi, L. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15174-3 · Cited by 308
Self-citationBrowder, K. C., Reddy, P., Yamamoto, M., Haghani, A., Guillen, I. G., Sahu, S., Wang, C., Luque, Y., Prieto, J., Shi, L., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00183-2 · Cited by 253
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Flagged first, then by citations
Research works printed but not linked: 36
- 2017, Biological Age Predictors, EBioMedicine, 21, 29, 10.1016/j.ebiom.2017.03.046 · DOI · Paper page
- 10.1038/s41576-018-0004-3 · DOI · Paper page
- 10.1016/j.molcel.2012.10.016 · DOI · Paper page
- Sziráki, A. , Tyshkovskiy, A. & Gladyshev, V. N. Global remodeling of the mouse DNA methylome during aging and in response to calorie restriction. Aging Cell 17, (2018). · DOI
- Johansson, Å. , Enroth, S. & Gyllensten, U. Continuous Aging of the Human DNA Methylome Throughout the Human Lifespan. PLoS ONE 8, (2013). · DOI
- Tanay, A. , O’donnell, A. H. , Damelin, M. & Bestor, T. H. Hyperconserved CpG domains underlie Polycomb-binding sites. www.pnas.org/cgi/content/full/ (2007). · DOI
- Long, H. K. et al. Epigenetic conservation at gene regulatory elements revealed by non-methylated DNA profiling in seven vertebrates. Elife 2013, (2013). · DOI
- 10.1016/j.cell.2013.04.022 · DOI
- 10.1038/ng.2836 · DOI · Paper page
- 10.1016/j.molcel.2020.04.018 · DOI
- 10.1016/j.molcel.2012.01.017 · DOI
- 10.1038/embor.2011.233 · DOI
- Lindroth, A. M. et al. Antagonism between DNA and H3K27 methylation at the imprinted Rasgrf1 locus. PLoS Genetics 4, (2008). · DOI
- 10.1016/j.cell.2010.10.012 · DOI · Paper page
- Wu, H. et al. Dnmt3a-Dependent Nonpromoter DNA Methylation Facilitates Transcription of Neurogenic Genes. https://www.science.org.
- Hagarman, J. A. , Motley, M. P. , Kristjansdottir, K. & Soloway, P. D. Coordinate Regulation of DNA Methylation and H3K27me3 in Mouse Embryonic Stem Cells. PLoS ONE 8, (2013). · DOI
- 10.1101/gr.103606.109 · DOI · Paper page
- 10.2217/epi-2015-0017 · DOI
- Horvath, H. & Horvath, S. DNA methylation age of human tissues and cell types. Genome Biology vol. 14 http://genomebiology.com//14/10/R115 (2013). · DOI · Paper page
- 10.1186/gb-2012-13-10-r97 · DOI
- 10.1080/15592294.2015.1040619 · DOI
- 10.1016/j.mad.2017.02.006 · DOI · Paper page
- 2021, Multi-omic profiling of primary mouse neutrophils predicts a pattern of sex-and age-related functional regulation, Nature Aging, 1, 715, 10.1038/s43587-021-00086-8 · DOI
- Rozenblit, M. et al. Evidence of accelerated epigenetic aging of breast tissues in patients with breast cancer is driven by CpGs associated with polycomb-related genes. Clinical Epigenetics 14, (2022). · DOI
- 10.1038/308274a0 · DOI
- 10.1038/ng.3811 · DOI
- 10.1038/s41576-022-00477-6 · DOI · Paper page
- Steinhardt, I. , Duncan, B. K. & Miller, J. H. Mutagenic deamination of cytosine residues in DNA. Biochem. biophys. Res. Commun vol. 60 (1974).
- 10.1038/nature12477 · DOI · Paper page
- Li, Y. et al. Genome-wide analyses reveal a role of Polycomb in promoting hypomethylation of DNA methylation valleys. Genome Biology 19, (2018). · DOI
- Jung, M. & Pfeifer, G. P. Aging and DNA methylation. BMC Biology 13, (2015). · DOI
- 10.1038/s41588-022-01063-6 · DOI
- de Sena Brandine, G. & Smith, A. D. Fast and memory-efficient mapping of short bisulfite sequencing reads using a two-letter alphabet. NAR Genomics and Bioinformatics 3, (2021). · DOI
- Song, Q. et al. A reference methylome database and analysis pipeline to facilitate integrative and comparative epigenomics. PLoS ONE 8, (2013). · DOI
- 10.1093/bioinformatics/btp352 · DOI · Paper page
- 10.1101/gr.136184.111 · DOI · Paper page
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Validation of biomarkers of aging
Moqri, M., Herzog, C., Poganik, J. R., Ying, K., Justice, J. N., Belsky, D. W., Higgins-Chen, A. T., Chen, B. H., Cohen, A. A., Fuellen, G., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02784-9 · Cited by 361
Self-citationThe Information Theory of Aging
Lu, Y. R., Tian, X., & Sinclair, D. A. (2023) · Nature Aging · doi:10.1038/s43587-023-00527-6 · Cited by 141
Metadata
- Authors
- Moqri, M., Cipriano, A., Nachun, D., Murty, T., de Sena Brandine, G., Rasouli, S., Tarkhov, A., Aberg, K. A., van den Oord, E., Zhou, W., Smith, A., Mackall, C., Gladyshev, V., Horvath, S., Snyder, M. P., & Sebastiano, V.
- Publisher
- openRxiv
- Published
- 2022-06-05
- Cited by
- 22
- References
- 10
- Type
- Preprint
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