five

Multi-omics analyses on rheumatoid arthritis in CD4+ T cells

收藏
DataONE2021-01-15 更新2025-05-03 收录
下载链接:
https://search.dataone.org/view/sha256:ffc99abfe43bda11f18082088112b350392be684480ac5d64927635fe13af65f
下载链接
链接失效反馈
官方服务:
资源简介:
Objective: CD4+ T cells have been suggested as the most disease-relevant cell type in rheumatoid arthritis (RA) in which RA-risk non-coding variants exhibit allele-specific effects on regulation of RA-driving genes. This study aimed to understand RA-specific signatures in CD4+ T cells using multi-omics data, interpreting inter-omics relationships in shaping the RA transcriptomic landscape. Methods: We profiled genome-wide variants, gene expression, and DNA methylation in CD4+ T cells from 82 RA patients and 40 healthy controls using high-throughput technologies. We investigated differentially expressed genes (DEGs) and differentially methylated regions (DMRs) in RA and localized quantitative trait loci (QTLs) for expression and methylation. We then integrated these based on individual-level correlations to inspect DEG-regulating sources and investigated the potential regulatory roles of RA-risk variants by a partitioned-heritability enrichment analysis with RA genome-wide association...
创建时间:
2025-04-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作