Ontology highlight
ABSTRACT:
SUBMITTER: Liang Q
PROVIDER: S-EPMC6917696 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Liang Qingnan Q Dharmat Rachayata R Owen Leah L Shakoor Akbar A Li Yumei Y Kim Sangbae S Vitale Albert A Kim Ivana I Morgan Denise D Liang Shaoheng S Wu Nathaniel N Chen Ken K DeAngelis Margaret M MM Chen Rui R
Nature communications 20191217 1
Single-cell RNA-seq is a powerful tool in decoding the heterogeneity in complex tissues by generating transcriptomic profiles of the individual cell. Here, we report a single-nuclei RNA-seq (snRNA-seq) transcriptomic study on human retinal tissue, which is composed of multiple cell types with distinct functions. Six samples from three healthy donors are profiled and high-quality RNA-seq data is obtained for 5873 single nuclei. All major retinal cell types are observed and marker genes for each c ...[more]