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| Status |
Public on Jul 01, 2019 |
| Title |
Single-cell transcriptomic profiling of the aging mouse brain |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
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 provide a resource for the neuroscience community that will facilitate additional discoveries directed towards understanding and modifying the aging process.
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| Overall design |
Total of 16 mice brains with raw data for 50,212 single cells and processed data for 37,089 single cells
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| Contributor(s) |
Rubin LL, Ximerakis M, Lipnick SL, Levin J |
| Citation(s) |
31551601 |
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| Submission date |
Apr 15, 2019 |
| Last update date |
Sep 26, 2019 |
| Contact name |
Lee Rubin |
| E-mail(s) |
lee_rubin@harvard.edu
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| Organization name |
Harvard University
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| Street address |
7 Divinity Ave
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| City |
Cambridge |
| State/province |
MA |
| ZIP/Postal code |
02138 |
| Country |
USA |
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| Platforms (1) |
| GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
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| Samples (16)
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| Relations |
| BioProject |
PRJNA532831 |
| SRA |
SRP192549 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE129788_RAW.tar |
409.8 Mb |
(http)(custom) |
TAR (of TXT) |
| GSE129788_Supplementary_meta_data_Cell_Types_Etc.txt.gz |
449.4 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
| Processed data are available on Series record |
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