Smart RNA sequencing Facilitates Quantitative Analysis of dermal CD4+ Trm cells between SLE and NC.

NIAID Data Ecosystem2026-05-02 收录

自身免疫病转录组学

皮肤免疫细胞分析

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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE181613 数据链接链接失效反馈

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The goals of this study are to compare transcriptome of dermis-derived CD4+ Trm cells between SLE and NC. CD4+ Trm cells' mRNA profiles of SLE and NC.

创建时间：

2024-08-06

Table_4_The genomic landscape of ANCA-associated vasculitis: Distinct transcriptional signatures, molecular endotypes and comparison with systemic lupus erythematosus.xlsx

自身免疫病转录组学

血管炎分子内型

IntroductionAnti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAVs) present with a complex phenotype and are associated with high mortality and multi-organ involvement. We sought to

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A transcriptional signature of fatigue derived from patients with primary Sjögren's Syndrome. Homo sapiens

自身免疫病转录组学

疲劳标志物分析

Fatigue is a debilitating condition with a significant impact on patients’ quality of life. Fatigue is frequently reported by patients suffering from primary Sjo ̈gren’s Syndrome (pSS), a chronic auto

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Additional file 8 of Restoration of aberrant gene expression of monocytes in systemic lupus erythematosus via a combined transcriptome-reversal and network-based drug repurposing strategy

自身免疫病转录组学

药物再利用筛选

Supplementary Table 8. Full list of DEGs of monocytes, derived from the comparison of SLE patients versus healthy control individuals, without cut-off values.

Figshare2024-08-13 更新80

RNA-seq of peripheral blood mononuclear cell (PBMC) derived from normal healthy donors and systemic lupus erythematosus (SLE) patients. RNA-seq of peripheral blood mononuclear cell (PBMC) derived from normal healthy donors and systemic lupus erythematosus (SLE) patients

自身免疫病转录组学

红斑狼疮生物标志物发现

Systemic lupus erythematosus (SLE), also known simply as lupus, is an autoimmune disease. There is no cure for SLE. The mechanism involves an immune response by autoantibodies against a person's own t

NIAID Data Ecosystem80

Smart RNA sequencing Facilitates Quantitative Analysis of dermal CD4+ Trm cells between SLE and NC.

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