MCNSTA: Mouse Cochlear Nucleus Spatiotemporal Transcriptomic Atlas(Dataset ID: STDS0000243)

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Summary
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Data
Analysis results
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Dataset information
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Dataset information
Summary:
" The molecular and cellular mechanisms underlying the function of the cochlear nucleus (CN) remain to be fully elucidated. Using single-nucleus RNA sequencing and single-cell spatial transcriptome analyses, we identified transcriptome-defined cell types, as well as their spatial distribution and marker genes. These data also allowed us to acquire a new definition of CN subregions. By comparing transcriptomic profiles between normal mice and mutant mice with congenital hearing loss due to hair cell malfunction, we further identified glutamatergic Spp1+-bushy cell as a primary cell type exhibiting hearing loss-induced alteration in gene expression. Among highly affected genes in the bushy cell, we found that deletion of a developmentally regulated osteopontin-encoding gene Spp1 affected CN processing of auditory signals. Together, our study provides the most comprehensive molecular and cellular atlas of CN to date and identifies critical hearing loss-related cell types and specific genes that may serve as potential therapeutic targets. "
Overall design:
to be continued
Technology:
Stereo-Seq
Platform:
DNBSEQ-T1
Tissues:
Brain
Organ parts:
Cochlear nucleus
Cell types:
to be continued
Sex:
Male | Female
Submission date: 2024-08-30Update date: 2024-09-05
DOI: To be continue
Contributors
Liu Huihui,liaoshangfeng
Contact: liuhent9h@163.com,liaoshangfeng@genomics.cn
Accessions
No results.
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] Liu Huihui,liaoshangfeng. MCNSTA: Mouse Cochlear Nucleus Spatiotemporal Transcriptomic Atlas[DS/OL]. STOmicsDB, 2024[2024-08-30]. https://db.cngb.org/stomics/datasets/STDS0000243/. 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: to be continued