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Aging, disease and transcriptomic liberality derived from human RNA-seq data

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DOI:

https://doi.org/10.51094/jxiv.1758

Keywords:

Liberality

Abstract

Human tissues progressively lose their function during aging. In the context of cellular differentiation and dedifferentiation, this process can be quantified as decrease and increase in liberality, defined as transcriptome diversity. In this study, we collected over 5,000 human transcriptome datasets and measured their liberality. We found a positive correlation between aging and liberality, as well as between disease status and liberality.

Conflicts of Interest Disclosure

The authors declare no conflicts of interest associated with this manuscript.

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Submitted: 2025-10-17 12:02:59 UTC

Published: 2025-10-24 01:30:43 UTC
Section
Biology, Life Sciences & Basic Medicine