Accession |
PRJCA015369 |
Title |
snRNA-seq of soybean |
Relevance |
Agricultural |
Data types |
Transcriptome or Gene expression
Raw sequence reads
Single cell sequencing
|
Organisms |
Glycine max
|
Description |
we used snRNA-seq to construct a comprehensive, high resolution transcriptomic atlas of soybean roots and nodules. This dataset was used to identify all major cell types present in the underground organs of soybean, including six nodule-specific cell types. |
Sample scope |
Bulk and Single cell |
Release date |
2023-07-06 |
Publication |
PubMed ID |
Article title |
Journal name |
DOI |
Year |
37073786
|
A high-resolution transcriptomic atlas depicting nitrogen fixation and nodule development in soybean
|
Journal of Integrative Plant Biology
|
10.1111/jipb.13495
|
2023
|
|
Grants |
Agency |
program |
Grant ID |
Grant title |
Chinese Academy of Sciences (CAS)
|
Yong Scientists in Basic Research
|
YSBR-011
|
|
Ministry of Science and Technology of the People's Republic of China (MOST)
|
National Key Research and Development Program of China
|
2021YFF1000102
|
|
|
Submitter |
Baocheng
Sun (bcsun@genetics.ac.cn)
|
Organization |
Institute of Genetics and Developmental Biology, Chinese Academy of Sciences |
Submission date |
2023-03-05 |