Multi-tissue transcriptomic aging atlas reveals predictive aging biomarkers in the killifish
Emma K. Costa, Jingxun Chen, Ian H. Guldner, Lajoyce Mboning, Natalie Schmahl, Aleksandra Tsenter, Rahul Nagvekar, Man-Ru Wu, Patricia Moran-Losada, Louis-S. Bouchard, Sui Wang, Param Priya Singh, Matteo Pellegrini, Anne Brunet, Tony Wyss-Coray
TL;DR
This study maps aging-related gene changes across 13 tissues in killifish, revealing shared and tissue-specific aging patterns and developing tools to predict age and test lifespan interventions.
Contribution
The study introduces a multi-tissue transcriptomic aging atlas and tissue-specific clocks for predicting chronological age in a short-lived vertebrate model.
Findings
Age-related gene expression changes vary across tissues and are conserved in mice and humans.
A female-biased myeloid shift with age was observed in the killifish hematopoietic organ.
Tissue-specific transcriptomic clocks were developed and validated with independent data.
Abstract
Aging is associated with progressive tissue dysfunction, leading to frailty and mortality. Characterizing aging features, such as changes in gene expression and dynamics, shared across tissues or specific to each tissue, is crucial for understanding systemic and local factors contributing to the aging process. We performed RNA sequencing on 13 tissues at six different ages in male and female African turquoise killifish, the shortest-lived vertebrate that can be raised in captivity. This comprehensive, sex-balanced ‘atlas’ dataset revealed varying strength of sex–age interactions across killifish tissues and age-altered genes and biological pathways that are evolutionarily conserved in mice and humans. We discovered a female-biased myeloid shift with age in the killifish hematopoietic organ, developed tissue-specific ‘transcriptomic clocks’ and identified biomarkers predictive of…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsFish biology, ecology, and behavior · Single-cell and spatial transcriptomics · Genetics, Aging, and Longevity in Model Organisms