Fractional re-distribution among cell motility states during ageing

• Published in: Communications biology 2021-01, Vol.4 (1), p.81-81, Article 81
• Main Authors: Phillip, Jude M., Zamponi, Nahuel, Phillip, Madonna P., Daya, Jena, McGovern, Shaun, Williams, Wadsworth, Tschudi, Katherine, Jayatilaka, Hasini, Wu, Pei-Hsun, Walston, Jeremy, Wirtz, Denis
• Format: Article
• Language: English
• Subjects: 13/106; 631/443/7; 631/57/343/1361; 631/80/84; 96/63; Activity patterns; Adolescent; Adult; Age; Age Factors; Aged; Aging; Aging - metabolism; Aging - physiology; Biology; Biomarkers; Biomedical and Life Sciences; Cell Movement - physiology; Child; Child, Preschool; Cytology; Fibroblasts; Fibroblasts - metabolism; Fibroblasts - physiology; Humans; Life Sciences; Middle Aged; Models, Theoretical; Motility; Phenotype; Phenotypes; Skin - metabolism
• ISSN: 2399-3642; 2399-3642
• DOI: 10.1038/s42003-020-01605-w

Ageing in humans is associated with the decreased capacity to regulate cell physiology. Cellular properties, such as cell morphology and mechanics, encode ageing information, and can therefore be used as robust biomarkers of ageing. Using a panel of dermal fibroblasts derived from healthy donors spanning a wide age range, we observe an age-associated decrease in cell motility. By taking advantage of the single-cell nature of our motility data, we classified cells based on spatial and activity patterns to define age-dependent motility states. We show that the age-dependent decrease in cell motility is not due to the reduced motility of all cells, but results from the fractional re-distribution among motility states. These findings highlight an important feature of ageing cells characterized by a reduction of cellular heterogeneity in older adults relative to post-adolescent/adults. Furthermore, these results point to a mechanistic framework of ageing, with potential applications in deciphering emergent ageing phenotypes and biomarker development. Phillip and colleagues use dermal fibroblasts from a range of donors to quantify cell motility in ageing cells. They show that the age-dependent decrease in cell motility is not due to the reduced motility of all cells, but results from the fractional redistribution among motility states.