Modeling the human aging transcriptome across tissues, health status, and sex.

ABSTRACT: Aging in humans is an incredibly complex biological process that leads to increased susceptibility to various diseases. Understanding which genes are associated with healthy aging can provide valuable insights into aging mechanisms and possible avenues for therapeutics to prolong healthy life. However, modeling this complex biological process requires an enormous collection of high-quality data along with cutting-edge computational methods. Here, we have compiled a large meta-analysis of gene expression data from RNA-Seq experiments available from the Sequence Read Archive. We began by reprocessing more than 6000 raw samples-including mapping, filtering, normalization, and batch correction-to generate 3060 high-quality samples spanning a large age range and multiple different tissues. We t

SUBMITTER: Shokhirev MN 

PROVIDER: S-EPMC7811842 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature