Leveraging Single-Cell RNA-Seq to Generate Robust Microglia Aging Clocks.

ABSTRACT: 'Biological aging clocks' - composite molecular markers thought to capture an individual's biological age - have been traditionally developed through bulk-level analyses of mixed cells and tissues. However, recent evidence highlights the importance of gaining single-cell-level insights into the aging process. Microglia are key immune cells in the brain shown to adapt functionally in aging and disease. Recent studies have generated single-cell RNA sequencing (scRNA-seq) datasets that transcriptionally profile microglia during aging and development. Leveraging such datasets, we develop and compare computational approaches for generating transcriptome-wide summaries to establish robust microglia aging clocks. Our results reveal that unsupervised, frequency-based featurization approaches strik

SUBMITTER: Stanley N 

PROVIDER: S-EPMC11566008 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature