| Accession |
PRJCA009893 |
| Title |
Integrated single-nucleus and spatial transcriptomics reveals cell type specific regulatory modules during soybean nodule development |
| Relevance |
Agricultural |
| Data types |
Raw sequence reads
|
| Organisms |
Glycine max
|
| Description |
Integrated single-nucleus and spatial transcriptomics reveals cell type specific regulatory modules during soybean nodule development |
| Sample scope |
Single cell |
| Release date |
2023-02-08 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 37055554
|
Integrated single-nucleus and spatial transcriptomics captures transitional states in soybean nodule maturation
|
Nature Plants
|
10.1038/s41477-023-01387-z
|
2023
|
|
|
eMCI: an Explainable Multimodal Correlation Integration Model for Unveiling Spatial Transcriptomics and Intercellular Signaling
|
Research
|
10.34133/research.0522
|
2024
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| No funding support
|
|
|
|
|
|
| Submitter |
Zhijian
Liu (11930685@mail.sustech.edu.cn)
|
| Organization |
Southern University of Science and Technology |
| Submission date |
2022-06-04 |
