TY - JOUR
T1 - Biophysical and biomolecular determination of cellular age in humans
AU - Phillip, Jude M.
AU - Wu, Pei Hsun
AU - Gilkes, Daniele M.
AU - Williams, Wadsworth
AU - McGovern, Shaun
AU - Daya, Jena
AU - Chen, Jonathan
AU - Aifuwa, Ivie
AU - Lee, Jerry S.H.
AU - Fan, Rong
AU - Walston, Jeremy
AU - Wirtz, Denis
N1 - Publisher Copyright:
© 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
PY - 2017/6/30
Y1 - 2017/6/30
N2 - Ageing research has focused either on assessing organ- and tissue-based changes, such as lung capacity and cardiac function, or on changes at the molecular scale such as gene expression, epigenetic modifications and metabolism. Here, by using a cohort of 32 samples of primary dermal fibroblasts collected from individuals between 2 and 96 years of age, we show that the degradation of functional cellular biophysical features - including cell mechanics, traction strength, morphology and migratory potential - and associated descriptors of cellular heterogeneity predict cellular age with higher accuracy than conventional biomolecular markers. We also demonstrate the use of high-throughput single-cell technologies, together with a deterministic model based on cellular features, to compute the cellular age of apparently healthy males and females, and to explore these relationships in cells from individuals with Werner syndrome and Hutchinson-Gilford progeria syndrome, two rare genetic conditions that result in phenotypes that show aspects of premature ageing. Our findings suggest that the quantification of cellular age may be used to stratify individuals on the basis of cellular phenotypes and serve as a biological proxy of healthspan.
AB - Ageing research has focused either on assessing organ- and tissue-based changes, such as lung capacity and cardiac function, or on changes at the molecular scale such as gene expression, epigenetic modifications and metabolism. Here, by using a cohort of 32 samples of primary dermal fibroblasts collected from individuals between 2 and 96 years of age, we show that the degradation of functional cellular biophysical features - including cell mechanics, traction strength, morphology and migratory potential - and associated descriptors of cellular heterogeneity predict cellular age with higher accuracy than conventional biomolecular markers. We also demonstrate the use of high-throughput single-cell technologies, together with a deterministic model based on cellular features, to compute the cellular age of apparently healthy males and females, and to explore these relationships in cells from individuals with Werner syndrome and Hutchinson-Gilford progeria syndrome, two rare genetic conditions that result in phenotypes that show aspects of premature ageing. Our findings suggest that the quantification of cellular age may be used to stratify individuals on the basis of cellular phenotypes and serve as a biological proxy of healthspan.
UR - http://www.scopus.com/inward/record.url?scp=85029945639&partnerID=8YFLogxK
U2 - 10.1038/s41551-017-0093
DO - 10.1038/s41551-017-0093
M3 - Article
C2 - 31372309
AN - SCOPUS:85029945639
SN - 2157-846X
VL - 1
JO - Nature Biomedical Engineering
JF - Nature Biomedical Engineering
IS - 7
M1 - 0093
ER -