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Butyrate alters gene expression profiles in gBT-I cells

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE132285
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Purpose: The aim of this study is to dissect if the microbiota-derived metabolite butyrate alters the transcriptome of antigen-activated CD8+ T cells. Methods: mRNA profiles from Ctrl and Butyrate-treated gBT-I were generated by deep sequencing, in triplicates, using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. Results: The analysis of RNAseq data of Ctrl and Butyrate-treated gBT-I lead to ~2,000 differentially expressed genes (FDR < 0.05; fold change>2). GSEA enrichment analysis revealed enrichment of memory T cells signatures in gBT-I following butyrate-treatment (Sarkar et al., 2008). Conclusions: Our data shows that butyrate alters the transcriptome of effector CD8+ T cells, in particular their memory signature. in vitro activated gBT-I mRNA profiles on d6 were generated by deep sequencing, in triplicate, using Illumina GAIIx.

研究目的:本研究旨在解析微生物群来源的代谢产物丁酸(butyrate)是否会改变抗原激活的CD8+ T细胞的转录组。 研究方法:采用Illumina GAIIx平台对对照组(Ctrl)与丁酸处理组的gBT-I细胞进行三次生物学重复的深度测序,获取其mRNA表达谱。对通过质量过滤的测序reads,分别采用两种方法在转录本异构体水平开展分析:一是Burrows–Wheeler对齐工具(Burrows–Wheeler Aligner, BWA)结合方差分析(Analysis of Variance, ANOVA),二是TopHat结合Cufflinks。 研究结果:对对照组与丁酸处理组gBT-I细胞的RNA测序数据进行分析,共鉴定得到约2000个差异表达基因(错误发现率FDR < 0.05,倍数变化fold change > 2)。基因集富集分析(Gene Set Enrichment Analysis, GSEA)结果显示,经丁酸处理后的gBT-I细胞富集了记忆性T细胞特征基因集(Sarkar等,2008)。 研究结论:本研究数据表明,丁酸可改变效应性CD8+ T细胞的转录组,尤其是其记忆性细胞特征。本研究同时对体外激活第6天的gBT-I细胞进行了三次生物学重复的Illumina GAIIx深度测序,获取其mRNA表达谱。
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2019-06-10
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