In the season 2 premiere episode of the Longevity & Aging Series, Dr. Irina Conboy and Xiaoyue (Serafina) Mei from the Department of Bioengineering and QB3 at the University of California, discuss a research paper they co-authored that was published in Volume 15, Issue 17, of Aging (Aging-US), entitled, “Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease.”
DOI - https://doi.org/10.18632/aging.205046
Corresponding Author - Irina M. Conboy - iconboy@berkeley.edu
Video interview - https://www.youtube.com/watch?v=aYhUPpEPVv4
Transcript - https://aging-us.net/2024/04/22/longevity-aging-series-s2-e1-dr-irina-conboy-and-xiaoyue-serafina-mei/
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Keywords - aging, DNA methylation, epigenetics, clocks’ fail-test, biological noise
About Longevity & Aging Series
In its second season, the Longevity & Aging Series is a monthly video series that features esteemed researchers discussing the latest in aging research with a focus on their studies published by Aging (Aging-US).
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About Aging-US
Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.
Aging is indexed by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed Central, Web of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).
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