Single-cell transcriptomic profiling of the aging mouse brain.
Methodios XimerakisScott L LipnickBrendan T InnesSean K SimmonsXian AdiconisDanielle DionneBrittany A MayweatherLan NguyenZachary NiziolekCeren OzekVincent L ButtyRuth IsserlinSean M BuchananStuart S LevineAviv RegevGary D BaiderJoshua Z LevinLee L RubinPublished in: Nature neuroscience (2019)
The mammalian brain is complex, with multiple cell types performing a variety of diverse functions, but exactly how each cell type is affected in aging remains largely unknown. Here we performed a single-cell transcriptomic analysis of young and old mouse brains. We provide comprehensive datasets of aging-related genes, pathways and ligand-receptor interactions in nearly all brain cell types. Our analysis identified gene signatures that vary in a coordinated manner across cell types and gene sets that are regulated in a cell-type specific manner, even at times in opposite directions. These data reveal that aging, rather than inducing a universal program, drives a distinct transcriptional course in each cell population, and they highlight key molecular processes, including ribosome biogenesis, underlying brain aging. Overall, these large-scale datasets (accessible online at https://portals.broadinstitute.org/single_cell/study/aging-mouse-brain ) provide a resource for the neuroscience community that will facilitate additional discoveries directed towards understanding and modifying the aging process.
Keyphrases
- single cell
- rna seq
- high throughput
- resting state
- transcription factor
- cell therapy
- copy number
- mental health
- white matter
- multiple sclerosis
- dna methylation
- social media
- health information
- functional connectivity
- oxidative stress
- quality improvement
- brain injury
- middle aged
- big data
- genome wide identification
- data analysis