Identifiers

Identifier Results

Field Value
Identifier nemo:dat-9i389k6
Dataset Name Cell-type specific molecular signatures of aging revealed in a brain-wide transcriptomic cell-type atlas: Raw_scRNAseq_18mo
Version NA
Release Date NA
DOI NA
Source Data URL
Dataset Collection URL
Description Raw scRNA-seq data from 18-month-old mouse brains associated with the following publication: Jin K, Yao Z, van Velthoven CTJ, et al. Cell-type specific molecular signatures of aging revealed in a brain-wide transcriptomic cell-type atlas. bioRxiv 2023.07.26.550355. doi: 10.1101/2023.07.26.550355
Keywords transcriptomics, scRNA-Seq, aging, cortex, striatum, midbrain, hindbrain, glia, non-neuronal
Total Files in Collection 140
Total Size in Collection (in GB) 9067.1
Authors Kelly Jin, Zizhen Yao, Cindy T. J. van Velthoven, Eitan S. Kaplan, Katie Glattfelder, Samuel T. Barlow, Gabriella Boyer, Daniel Carey, Tamara Casper, Anish Bhaswanth Chakka, Rushil Chakrabarty, Michael Clark, Max Departee, Marie Desierto, Amanda Gary, Jessica Gloe, Jeff Goldy, Nathan Guilford, Junitta Guzman, Daniel Hirschstein, Changkyu Lee, Elizabeth Liang, Trangthanh Pham, Melissa Reding, Kara Ronellenfitch, Augustin Ruiz, Josh Sevigny, Nadiya Shapovalova, Lyudmila Shulga, Josef Sulc, Amy Torkelson, Herman Tung, Boaz Levi, Susan M. Sunkin, Nick Dee, Luke Esposito, Kimberly Smith, Bosiljka Tasic, Hongkui Zeng
Organization Allen Institute for Brain Science
Contact Person Hongkui Zeng
Contact E-Mail hongkuiz@alleninstitute.org
External Identifier Zeng_Aged_Mouse_Brain_scRNAseq_Raw_18mo
Grant Name NA
Consortium NA
Data Repository NA
Data Repository RRID NA
Data License NA
Data Access NA
Community Standards NA
Study Organism Mus musculus
Protocol ID NA
Parent Identifier

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This identifier does not have sub-identifiers with "analysis" data associated

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