Distinct DNA methylomes of newborns and centenarians
By Holger Heyn, Ning Li, Humberto J. Ferreira, S. Moran, D. Pisano, A. Gómez, Javier Díez, J. Sanchez-Mut, F. Setién, F. Carmona and 13 more. Proceedings of the National Academy of Sciences of the United States of America, 2012
802 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/12ca199dc4c9983e19ee8285a0a0b10c871965e0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Andrew E. Teschendorff
- Stephan Beck
- C. López‐Otín
- P. Molloy
- M. Blasco
- Trey Ideker
- Steve Horvath
- Guido Kroemer
In Molecular Biology
- Andrew E. Teschendorff
- Andrew E. Jaffe
- Stephan Beck
- Michael S. Kobor
- Meaghan J. Jones
- S. Goodman
- Andrea A. Baccarelli
- Linda Partridge
Citations in the corpus
- Accounting for cellular heterogeneity is critical in epigenome-wide association studies (2014, methodology): “papers reporting age-related changes of DNAm profiles have been published [6-14].”
- DNA methylation and healthy human aging (2015, background): “Key words: aging; DNA methylation; epigenetics; human; review.”
- The hallmarks of aging. (2013, methodology): “…sequence of individuals with exceptional longevity, to perform comparative genomic studies between short-lived and long-lived animal species and strains, and to analyze age-associated epigenetic changes at maximum resolution (Heyn et al., 2012; Kim et al., 2011; Sebastiani et al., 2011).”
- Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates (2012, positive): “The significance of the aging model was also confirmed by the data set presented in Heyn et al., verifying the age association of 70 of the 71 markers (Heyn et al., 2012).”
- DNA methylation age of human tissues and cell types (2013, background): “Data set 46 consists of peripheral blood mononuclear cells from [65].”
- DNA methylation aging clocks: challenges and recommendations (2019, background): “An early whole-genome bisulfite sequencing (WGBS) neonate versus centenarian comparison identified ~87% of the differentially methylated regions (DMRs) to be losing methylation with age [147].”
- De novo identification of differentially methylated regions in the human genome (2015, methodology): “Methylation values from the 450K array are shown to have excellent concordance with those from bisulfite sequencing [18-20].”