TY - JOUR
AU - Galante, Pedro A F
AB - bioRxiv preprint doi: https://doi.org/10.1101/2025.06.29.662218; this version posted July 4, 2025. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Transcriptomic entropy reveals tissue-specific patterns in aging and predicts cancer progression 1 2,3 1 Gabriel Arantes dos Santos , José Pedro Castro , and Pedro A F Galante 1 - Hospital Sírio-Libanês, São Paulo, SP, Brazil 2 - i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal 3- Aging and Aneuploidy Laboratory, Instituto de Biologia Molecular e Celular, Universidade do Porto, Porto, Portugal ABSTRACT Aging and cancer share complex molecular mechanisms, yet distinguishing between causative factors and byproducts remains challenging. Here, we investigated the role of transcriptomic entropy in aging and cancer processes by analyzing RNA-sequencing data from thousands of human and mouse samples. We found that entropy changes during aging are highly tissue-specific, with some tissues showing increased entropy while others exhibit decreased or stable entropy levels. Transcriptomic entropy strongly correlates with age-related processes, showing positive associations with proliferation, cellular senescence, and somatic mutation burden, while negatively 
TI - Transcriptomic entropy reveals tissue-specific patterns in aging and predicts cancer progression
DO - 10.1101/2025.06.29.662218
DA - 2025-07-04
UR - https://www.deepdyve.com/lp/unpaywall/transcriptomic-entropy-reveals-tissue-specific-patterns-in-aging-and-EHcpcHSXHB
DP - DeepDyve
ER -