Transcriptomic profiling of the human brain reveals that altered synaptic gene expression is associated with chronological aging.

ABSTRACT: Aging is a biologically universal event, and yet the key events that drive aging are still poorly understood. One approach to generate new hypotheses about aging is to use unbiased methods to look at change across lifespan. Here, we have examined gene expression in the human dorsolateral frontal cortex using RNA- Seq to populate a whole gene co-expression network analysis. We show that modules of co-expressed genes enriched for those encoding synaptic proteins are liable to change with age. We extensively validate these age-dependent changes in gene expression across several datasets including the publically available GTEx resource which demonstrated that gene expression associations with aging vary between brain regions. We also estimated the extent to which changes in cellular compositio

SUBMITTER: Dillman AA 

PROVIDER: S-EPMC5715102 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature