Measuring biological age using a functionally interpretable multi‐tissue RNA clock

The quantification of the biological age of cells yields great promises for accelerating the discovery of novel rejuvenation strategies. Here, we present MultiTIMER, the first multi‐tissue aging clock that measures the biological, rather than chronological, age of cells from their transcriptional pr...

Full description

Saved in:
Bibliographic Details
Published in:Aging cell 2023-05, Vol.22 (5), p.e13799-n/a
Main Authors: Jung, Sascha, Arcos Hodar, Javier, del Sol, Antonio
Format: Article
Language:English
Subjects:
Age
Aging
Cell cycle
Cell division
Clocks & watches
DNA methylation
Gene expression
Generalized linear models
Genotype & phenotype
Kinases
machine learning
Membranes
Molecular biology
Ontology
Proteins
RNA - genetics
Senescence
Short Communication
transcriptomics
Trends
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The quantification of the biological age of cells yields great promises for accelerating the discovery of novel rejuvenation strategies. Here, we present MultiTIMER, the first multi‐tissue aging clock that measures the biological, rather than chronological, age of cells from their transcriptional profiles by evaluating key cellular processes. We applied MultiTIMER to more than 70,000 transcriptional profiles and demonstrate that it accurately responds to cellular stressors and known interventions while informing about dysregulated cellular functions. Quantifying the biological rather than the chronological age of cells has the potential to accelerate the identification of novel rejuvenation strategies. Here, we introduce MultiTIMER, a multi‐tissue RNA clock that measures the age of cells from their transcriptome thereby quantifying the activity of processes underlying the aging phenotype.
ISSN:1474-9718
1474-9726
DOI:10.1111/acel.13799