Spatiotemporal single-cell analysis of gene expression in the mouse suprachiasmatic nucleus
Dataset ID: STDS0000082
|
|
27,515 Genes

Catalog


Dataset information
Summary
We apply geographical position sequencing (Geo-seq), a method that combines laser capture microdissection (LCM) and single-cell RNA-seq technology, to investigate the heterogeneous nature of suprachiasmatic nucleus (SCN) in adult mouse. The 3D quantitative data enables spatial gene expression pattern visualization . The dataset identified genes that are coexpressed in a specific region, mark domains of similar global pattern of expression, and can be used for mapping the position of single cells dissociated from adult SCN.
Overall design
In laser capture microdissection (LCM), hexagon grids with 40-渭m maximal radius was used and the transcriptome of each hexagon was obtained using single-cell RNA-seq technology.
Technology
Geo-seq
Platform
GPL21273
Species
Mus musculus
Tissues
Suprachiasmatic nucleus
Development stage
8 weeks
Citation
Wen S, Ma D, Zhao M, Xie L et al. Spatiotemporal single-cell analysis of gene expression in the mouse suprachiasmatic nucleus. Nat Neurosci 2020 Mar;23(3):456-467.
Submission date: 2018-08-10Update date: 2020-02-21

Contributors
Meng Zhao

Accessions
GEO Series Accessions: GSE118403