A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations.
Sci Data
; 9(1): 751, 2022 12 03.
Article
em En
| MEDLINE
| ID: mdl-36463290
ABSTRACT
Aging is a process of progressive change. To develop biological models of aging, longitudinal datasets with high temporal resolution are needed. Here we report a multi-omics longitudinal dataset for cultured primary human fibroblasts measured across their replicative lifespans. Fibroblasts were sourced from both healthy donors (n = 6) and individuals with lifespan-shortening mitochondrial disease (n = 3). The dataset includes cytological, bioenergetic, DNA methylation, gene expression, secreted proteins, mitochondrial DNA copy number and mutations, cell-free DNA, telomere length, and whole-genome sequencing data. This dataset enables the bridging of mechanistic processes of aging as outlined by the "hallmarks of aging", with the descriptive characterization of aging such as epigenetic age clocks. Here we focus on bridging the gap for the hallmark mitochondrial metabolism. Our dataset includes measurement of healthy cells, and cells subjected to over a dozen experimental manipulations targeting oxidative phosphorylation (OxPhos), glycolysis, and glucocorticoid signaling, among others. These experiments provide opportunities to test how cellular energetics affect the biology of cellular aging. All data are publicly available at our webtool https//columbia-picard.shinyapps.io/shinyapp-Lifespan_Study/.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Envelhecimento
/
Fibroblastos
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article