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首页> 外文期刊>Epigenetics: official journal of the DNA Methylation Society >Global, integrated analysis of methylomes and transcriptomes from laser capture microdissected bronchial and alveolar cells in human lung
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Global, integrated analysis of methylomes and transcriptomes from laser capture microdissected bronchial and alveolar cells in human lung

机译:来自人肺中激光捕获的微小支气管和肺泡细胞的全局,甲基胚囊的综合分析和转录om

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摘要

Gene regulatory analysis of highly diverse human tissues in vivo is essentially constrained by the challenge of performing genome-wide, integrated epigenetic and transcriptomic analysis in small selected groups of specific cell types. Here we performed genome-wide bisulfite sequencing and RNA-seq from the same small groups of bronchial and alveolar cells isolated by laser capture microdissection from flash-frozen lung tissue of 12 donors and their peripheral blood T cells. Methylation and transcriptome patterns differed between alveolar and bronchial cells, while each of these epithelia showed more differences from mesodermally-derived T cells. Differentially methylated regions (DMRs) between alveolar and bronchial cells tended to locate at regulatory regions affecting promoters of 4,350 genes. A large number of pathways enriched for these DMRs including GTPase signal transduction, cell death, and skeletal muscle. Similar patterns of transcriptome differences were observed: 4,108 differentially expressed genes (DEGs) enriched in GTPase signal transduction, inflammation, cilium assembly, and others. Prioritizing using DMR-DEG regulatory network, we highlighted genes, e.g., ETS1, PPARG, and RXRG, at prominent alveolar vs. bronchial cell discriminant nodes. Our results show that multi-omic analysis of small, highly specific cells is feasible and yields unique physiologic loci distinguishing human lung cell types in situ.
机译:体内高度多样化的人体组织的基因调节分析基本上受到在小选定的特异性细胞类型中进行基因组,集成表观遗传和转录组分析的挑战。在这里,我们通过来自12个供体和外周血T细胞的闪光冷冻肺组织的激光捕获微量分离的相同小组支气管和肺泡细胞进行全基因组偏二硫酸氢盐测序和RNA-SEQ。甲基化和转录组图案在肺泡和支气管细胞之间不同,而这些上皮细胞中的每一个与介质衍生的T细胞显示出更多的差异。肺泡和支气管细胞之间的差异甲基化区域(DMRS)倾向于定位在影响4,350基因的启动子的调节区域。富集的大量途径为这些DMRS,包括GTPase信号转导,细胞死亡和骨骼肌。观察到类似的转录组差异:4,108个差异表达的基因(DEGS)富集GTPAse信号转导,炎症,纤毛组件等。优先使用DMR-DEG调节网络,我们突出显示基因,例如ETS1,PPARG和RXRG,突出的肺泡与支气管细胞判别节点。我们的研究结果表明,小,高度特异性细胞的多样性分析是可行的,并产生独特的生理基因座以原位区分人肺细胞类型。

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