A spatial transcriptome atlas of the mammalian whole cerebella(Dataset ID: STDS0000244)

0
|
12,877
|
4,089
Summary
Visualization
Data
Analysis results
Catalog
Dataset information
Contributors
Accessions
How to cite
Dataset information
Summary:
Recent discoveries about the molecular heterogeneity of the cerebellar cortex suggest the existence of functionally divergent subclasses of anatomically defined cell types. Using spatial transcriptome and single-nucleus RNA-seq analysis, we mapped 3D transcriptomic atlases of the whole cerebellum of mice, marmosets, and macaques at the single-cell resolution. Comparative analysis revealed specific cell types, cell localizations, and intra-cerebellum molecular heterogeneity across species. A comprehensive database generated from this study will expand the acknowledgment of the mammalian cerebellum.
Overall design:
Search tissue annotation and gene expression across the macaque cerebellum. Search tissue annotation and gene expression across the marmoset cerebellum. Search tissue annotation and gene expression across the mouse cerebellum. Search for the annotation and gene expression in each single nucleus RNAseq dataset.
Technology:
Stereo-seq, snRNA
Platform:
DNBSEQ-T10
Tissues:
Brain
Organ parts:
Cerebellum
Development stage:
Adult
Sex:
Male | Female
Submission date: 2024-09-01Update date: 2024-09-26
Sample number: 6Section number: 186
DOI: To be continue
Contributors
No results.
Accessions
Project ID: CNP0003779
Project ID: CNP0005746
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. A spatial transcriptome atlas of the mammalian whole cerebella[DS/OL]. STOmicsDB, 2024[2024-09-01]. https://db.cngb.org/stomics/datasets/STDS0000244/. doi: xxxxxx
    #Format: {contributors}. {title}[DS/OL]. STOmicsDB, {the year of submission data}[{submission data}]. {dataset link}. doi: {doi ID}
  • Cite original data article:
    No results.