Dataset Information

Transcriptomic signatures of the aging brain at single-cell resolution

ABSTRACT: Aging is a major risk factor for neurodegenerative diseases that impose tremendous burdens on people and societies today. To understand trajectories of neurological aging in a primate, we generated one of the most comprehensive brain transcriptional datasets to date in a unique population of naturalistic, behaviorally phenotyped rhesus macaques. In this experiment, we generated 71,863 single-nucleus RNA-seq transcriptomes from the dorsolateral prefrontal cortex of 24 adult females spanning all ages. We find that, of all tested cell classes, oligodendrocytes were the only cell type to significantly increase in proportion with age. We also identify hundreds of genes that change significantly with age in one or more cell types, providing a valuable window into cell-type-specific aging in the prefrontal cortex. Our findings lend insight into biological mechanisms underlying brain aging and indicate promising directions for improving neurological health.

ORGANISM(S): Macaca mulatta

PROVIDER: GSE179236 | GEO | 2022/09/26

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The molecular basis of complex neuropsychiatric disorders most likely involves many genes. In recent years, specific genetic variations influencing risk for schizophrenia and other neuropsychiatric disorders have been reported. We have used custom DNA microarrays and qPCR to investigate the expression of putative schizophrenia susceptibility genes and related genes of interest in the normal human brain. Expression of 31 genes was measured in Brodmann's area 10 (BA10) in the prefrontal cortex of 72 postmortem brain samples spanning half a century of human aging (18-67 years), each without history of neuropsychiatric illness, neurological disease, or drug abuse. Examination of expression across age allowed the identification of genes whose expression patterns correlate with age, as well as genes that share common expression patterns and that possibly participate in common cellular mechanisms related to the emergence of schizophrenia in early adult life. The expression of GRM3 and RGS4 decreased across the entire age range surveyed, while that of PRODH and DARPP-32 was shown to increase with age. NRG1, ERBB3, and NGFR show expression changes during the years of greatest risk for the development of schizophrenia. Expression of FEZ1, GAD1, and RGS4 showed especially high correlation with one another, in addition to the strongest mean levels of absolute correlation with all other genes studied here. Keywords: postmortem human brain collection Supplementary files: Gene expression measures in Matrix1379Normalized.txt include all data from the 1379 probes on the arrays, and are NOT adjusted for PMI, brain pH, and RIN, and are NOT averaged over multiple probes within genes. Raw data are located in Raw_1241842_gene_probe_profile.txt. We have used custom DNA microarrays to investigate gene expression in the normal human brain. Expression was measured in Brodmann's area 10 (BA10) in the prefrontal cortex of 72 postmortem brain samples spanning half a century of human aging (18-67 years), each without history of neuropsychiatric illness, neurological disease, or drug abuse.

Dataset Information

Transcriptomic signatures of the aging brain at single-cell resolution

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets