Altered glucose metabolism in proximal tubule cells responding to acute kidney injury is associated with patient mortality
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE151167
下载链接
链接失效反馈官方服务:
资源简介:
Single-cell transcriptomics revealed that gluconeogenesis is impaired in proximal tubule cells during AKI in mice. To investigate single cell transcriptomics on renal tubule cells, we generated a reporter mouse expressing GFP linked to the histone protein H2B in all nephron cells by combining 3 transgenes Six2-TGC; Rosa26rtTA ; pTRE-H2BeGFP. IRI and Sham surgeries were performed, and kidney tissue was harvested at different timepoints, followed by nuclei isolation, FACs sorting, and 10X Genomics Chromium Drop-Seq and library construction. Illumina Next-Seq sequencing of barcoded single nuclei libraries was performed and aligned to a pre-mrna genome with STAR/CellRanger. Gene/barcode matrices were merged and processed with the Seurat R package.
单细胞转录组学(single-cell transcriptomics)研究表明,小鼠急性肾损伤(AKI)进程中,近端小管细胞的糖异生功能受损。为探究肾小管细胞的单细胞转录组学特征,我们通过整合3种转基因元件(Six2-TGC、Rosa26rtTA、pTRE-H2BeGFP),构建了一株在所有肾单位细胞中表达与组蛋白H2B融合的绿色荧光蛋白(GFP)的报告基因小鼠。随后开展缺血再灌注(IRI)与假手术(Sham)造模,于不同时间点收取肾脏组织,依次进行细胞核分离、荧光激活细胞分选(FACs)、10X Genomics Chromium Drop-Seq建库。采用Illumina Next-Seq平台对带条形码的单细胞核文库进行测序,并通过STAR/CellRanger软件将测序数据比对至pre-mRNA基因组。最终通过Seurat R包对基因/条形码矩阵进行合并与分析处理。
创建时间:
2020-09-03



