| Accession |
PRJCA040056 |
| Title |
Comparative single-cell analyses identify shared and divergent features of human autoimmune diseases |
| Relevance |
Medical |
| Data types |
Transcriptome or Gene expression
Raw sequence reads
Single cell sequencing
|
| Organisms |
|
| Description |
This study used integrative single-cell RNA sequencing to analyze immune cell profiles in six autoimmune diseases, uncovering disease- and cell type-specific transcriptional patterns. Key findings included the identification of gene clusters enriched in cytotoxic CD8+ T cells and myeloid cells, which are crucial for immune responses. The research provides valuable insights into autoimmune disease mechanisms and offers a resource for developing targeted therapies. |
| Sample scope |
Single cell |
| Release date |
2026-02-16 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
National Science Funds for Distinguished Young Scholars
|
T2125012
|
|
|
|
| Submitter |
Kun
Qu (qukun@ustc.edu.cn)
|
| Organization |
University of Science and Technology of China |
| Submission date |
2025-05-12 |
