Expression trajectories in the aging male mouse colon transcriptome
Characterizing temporal dynamics during aging is crucial to understanding the course of aging-related events. The transcriptome is extensively remodeled with age, but the temporal trajectories of these changes, particularly through midlife, remain poorly defined in many tissues. Here, we address this gap in the male mouse colon. Using a dataset of 83 RNA-Seq samples from five time points during…
Understanding the aging process in the colon tissue of male mice is essential for unraveling aging-related changes. The transcriptome, or the complete set of RNA transcripts produced by the genome, undergoes significant remodeling with age, but the specific patterns of these changes, especially during midlife, have been unclear in many tissues. This study aims to fill that gap in the male mouse colon.
The researchers utilized a dataset comprising 83 RNA-Seq samples collected at five distinct time points throughout the adult mouse lifespan. Their findings reveal that colon aging is marked by several distinct gene-expression trajectories that occur simultaneously, with a major shift happening around the mid-to-late life transition. This shift is characterized by a collapse of the unfolded protein response (UPR).
Further analysis shows that the transcriptome experiences non-monotonic patterns, meaning that some genes peak or dip in midlife - a detail that might be overlooked when comparing only young versus old tissues. The study also uncovers the age-dependent dynamics of transposable element-containing transcripts and a nonlinear course of transcriptomic entropy throughout the lifespan.
A key finding of the study is the identification of a small set of genes that correlate directly with chronological age. Using just three of these genes, the researchers construct a compact transcriptomic clock. This clock is then validated using an independent RNA-seq dataset and quantitative PCR (qPCR) data.
The study's results highlight the dominance of nonlinear patterns in the aging colon transcriptome and emphasize the importance of high temporal resolution for identifying key transitions during aging.
Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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