Macaque Brain Atlas(Dataset ID: STDS0000140)
chevron_leftchevron_right
Catalog
Dataset information
Contributors
Accessions
How to cite
Dataset information
Summary:
Non-human primates provide a unique way to study the only model in which both developmental and pathological features of the brain in a species phylogenetically close to human. In the past decade, breakthrough advances in single-cell sequencing have enabled the mapping of cell taxonomy and heterogeneity in the developing and adult brain of different mammalian species. Here, we generated single-cell chromatin accessibility (single-cell ATAC) and transcriptomic data of 358,237 cells from three cortical regions of the adult cynomolgus monkey Macaca fascicularis brain. We then integrated this dataset with Stereo-seq (Spatio-Temporal Enhanced Resolution Omics-sequencing) of the corresponding cortical areas to assign topographic information to molecular and regulatory states.Technology:
Stereo-Seq
Platform:
DNBSEQ-T10
Species:
Macaca fascicularis(macFas5)
Tissues:
Brain
Submission date: 2021-12-16Update date: 2021-12-16
Sample number: 1Section number: 3
DOI: To be continue
Contributors
No results.
Accessions
Database:
https://db.cngb.org/mba
CNGB Project: CNP0000927
Publication: Spatially resolved gene regulatory and disease-related vulnerability map of the adult Macaque cortex
How to cite
- Cite database of STOmicsDB:[1] Xu, Zhicheng et al. "STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization." Nucleic acids research vol. 52,D1 (2024): D1053-D1061. doi: 10.1093/nar/gkad933'
- Cite visualization dataset:[2] xxxxxx. Macaque Brain Atlas[DS/OL]. STOmicsDB, 2021[2021-12-16]. https://db.cngb.org/stomics/datasets/STDS0000140/. doi: xxxxxx#Format: {contributors}. {title}[DS/OL]. STOmicsDB, {the year of submission data}[{submission data}]. {dataset link}. doi: {doi ID}
- Cite original data article:Citation: Lei, Ying et al. “Spatially resolved gene regulatory and disease-related vulnerability map of the adult Macaque cortex.” Nature communications vol. 13,1 6747. 8 Nov. 2022, doi:10.1038/s41467-022-34413-3