Accession |
PRJCA009653 |
Title |
circSC |
Relevance |
Model organism |
Data types |
Transcriptome or Gene expression
Single cell sequencing
|
Organisms |
Homo sapiens
|
Description |
circSC employs a compendium of full-length single-cell RNA-sequencing datasets composed of 254,590 cells from 171 public studies to generate a comprehensive map of circRNAs in human and mouse cells. circSC identifies a total of 196,491 human and 310,969 mouse circRNAs in these scRNA-seq libraries, revealing the cell-type-specific expression pattern of circRNAs in brain samples, developing embryos, and breast tumors. |
Sample scope |
Multispecies |
Release date |
2022-05-18 |
Publication |
PubMed ID |
Article title |
Journal name |
DOI |
Year |
35688820
|
Exploring the cellular landscape of circular RNAs using full-length single-cell RNA sequencing
|
Nature Communications
|
10.1038/s41467-022-30963-8
|
2022
|
|
Grants |
Agency |
program |
Grant ID |
Grant title |
National Natural Science Foundation of China (NSFC)
|
|
32130020
|
|
National Natural Science Foundation of China (NSFC)
|
|
32025009
|
|
National Natural Science Foundation of China (NSFC)
|
|
91940306
|
|
National Key R&D Project
|
|
2021YFA1300500
|
|
National Key R&D Project
|
|
2021YFA1302000
|
|
|
Submitter |
wanying
wu (wuwanying@biols.ac.cn)
|
Organization |
Beijing Institutes of Life Science, Chinese Academy of Sciences |
Submission date |
2022-05-18 |