Ximerakis, MethodiosLipnick, ScottInnes, BrendanSimmons, SeanAdiconis, XianDionne, DanielleMayweather, BrittanyNguyen, LanOzek, CerenButty, VincentIsserlin, RuthBuchanan, SeanLevine, StuartRegev, AvivBader, GaryLevin, JoshuaRubin, Lee2020-04-162019-09-24Ximerakis, Methodios, Scott L. Lipnick, Brendan T. Innes, Sean K. Simmons, Xian Adiconis, Danielle Dionne, Brittany A. Mayweather, et al. 2019. Single-Cell Transcriptomic Profiling of the Aging Mouse Brain. Nature Neuroscience 22, no. 10: 1696–1708.1097-62561546-1726http://nrs.harvard.edu/urn-3:HUL.InstRepos:42659942MS NUMBER: NN-RS65742B Corresponding Author: Lee L. RubinThe 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. believe that this large-scale dataset, which is publicly accessible online (aging-mouse-brain), will facilitate additional discoveries directed towards understanding and modifying the aging process.en-USGeneral NeuroscienceJournal Article2020-04-1610.1038/s41593-019-0491-3