Spatiotemporal transcriptomic profiling and modeling of mouse brain at single-cell resolution reveals cell proximity effects of aging and rejuvenation.

ABSTRACT: Old age is associated with a decline in cognitive function and an increase in neurodegenerative disease risk¹. Brain aging is complex and accompanied by many cellular changes^2-20. However, the influence that aged cells have on neighboring cells and how this contributes to tissue decline is unknown. More generally, the tools to systematically address this question in aging tissues have not yet been developed. Here, we generate spatiotemporal data at single-cell resolution for the mouse brain across lifespan, and we develop the first machine learning models based on spatial transcriptomics ('spatial aging clocks') to reveal cell proximity effects during brain aging and rejuvenation. We collect a single-cell spatial transcriptomics brain atlas of 4.2 million cells from 2

SUBMITTER: Sun ED 

PROVIDER: S-EPMC11275735 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature