Transcriptomics

Dataset Information

0

Single nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling


ABSTRACT: We report a single-nuclei RNA-seq (snRNA-seq) transcriptomic study on human neural retinal tissue to identify transcriptome profile for individual cell types. Six retina samples from three healthy donors were profiled and RNA-seq data with high quality was obtained for 5873 single nuclei. All seven major retinal cell types were observed from the dataset and marker genes for each cell type were identified by differential gene express analysis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE133707 | GEO | 2019/10/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

| PRJNA552315 | ENA
2020-12-21 | PXD017610 | Pride
2022-11-08 | GSE217333 | GEO
2023-12-14 | GSE228627 | GEO
2022-04-01 | GSE167492 | GEO
2022-07-06 | GSE200218 | GEO
2016-04-15 | GSE77067 | GEO
2022-04-01 | GSE167490 | GEO
| S-EPMC6917696 | biostudies-literature
2021-12-06 | GSE182098 | GEO