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Additional file 2 of Integrated analysis of RNA methylation regulators crosstalk and immune infiltration for predictive and personalized therapy of diabetic nephropathy

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Mendeley Data2024-06-27 更新2024-06-27 收录
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Integrated_analysis_of_RNA_methylation_regulators_crosstalk_and_immune_infiltration_for_predictive_and_personalized_therapy_of_diabetic_nephropathy/22599431/1
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Additional file 2. Table S1. The primer sequences for target mRNA. Table S2. The baseline information of included individuals in four GEO cohorts. Table S3. Correlation analysis of the 24 RNA methylation regulators. Table S4. Immune cell infiltration characteristics of diabetic nephropathy samples in eight GEO cohorts. Table S5. Enrichment score of immune reaction pathways in four GEO cohorts. Table S6. Enrichment score of HLA gene set in four GEO cohorts. Table S7. Differentially expressed genes between Subtype_1, Subtype_2, and Subtype_3. Table S8. The univariate logistic regression analysis to identified the risk genes of diabetic nephropathy. Table S9. Samples clustering in four GEO cohorts.

附加文件2:表S1:靶向mRNA的引物序列。表S2:纳入4个GEO(Gene Expression Omnibus)队列的研究对象基线信息。表S3:24种RNA甲基化调控因子的相关性分析。表S4:8个GEO队列中糖尿病肾病样本的免疫细胞浸润特征。表S5:4个GEO队列中免疫反应通路的富集得分。表S6:4个GEO队列中HLA(Human Leukocyte Antigen)基因集的富集得分。表S7:亚型1、亚型2与亚型3之间的差异表达基因。表S8:用于鉴定糖尿病肾病风险基因的单变量logistic回归分析。表S9:4个GEO队列的样本聚类结果。
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2023-06-28
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