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HRA011522
   HRA011522.xlsx
Title:
System analysis in Multiple Autoimmune Disease with single cell RNA-sequencing
Release date:
2026-02-16
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.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA040056
Study type:
Disease Study
Disease name:
hypersensitivity reaction type II disease
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
HDAC005983
DAC name:
Qulab
Contact person:
Qu Kun
Email:
qukun@ustc.edu.cn
Description:
With the rapid development of sequencing technologies, more and more data is generated in a faster and faster pace, driving the biomedical research into the era of big data and personalized genomics. The goal of our lab is to decipher, interpret and manage the digital life at a single cell resolution. The lab is integrating expertise in Bioinformatics, Immunology, Genomics and Artificial Intelligence (BIGAI) to develop novel experimental and computational methods to predict, dissect and control the large-scale single cell gene regulatory programs, and to provide insights into precise diagnosis and therapeutics for human cancer and autoimmune diseases.
Individuals & samples
Files
Request Data
Submitter:   Qu Kun / qukun@ustc.edu.cn
Organization:   University of Science and Technology of China
Submission date:   2025-05-14
Requests:   1