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整合转录组和代谢组分析揭示胆固醇反应基因网络。

Integrated Transcriptome and Metabolome Analyses Uncover Cholesterol-Responsive Gene Networks.

作者信息

Zhang Ruihao, Sun Qi, Huang Lixia, Li Jian

机构信息

Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.

出版信息

Int J Mol Sci. 2025 Jul 23;26(15):7108. doi: 10.3390/ijms26157108.

DOI:10.3390/ijms26157108
PMID:40806239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12346660/
Abstract

Cholesterol stress profoundly modulates cellular processes, but its underlying mechanisms remain incompletely understood. To investigate cholesterol-responsive networks, we performed integrated transcriptome (RNA-seq) and metabolome (LC-MS) analyses on HeLa cells treated with cholesterol for 6 and 24 h. Through transcriptomic analysis of cholesterol-stressed HeLa cells, we identified stage-specific responses characterized by early-phase stress responses and late-phase immune-metabolic coordination. This revealed 1340 upregulated and 976 downregulated genes after a 6 h cholesterol treatment, including induction and suppression of genes involved in cholesterol efflux and sterol biosynthesis, respectively, transitioning to Nuclear Factor kappa-B (NF-κB) activation and Peroxisome Proliferator-Activated Receptor (PPAR) pathway modulation by 24 h. Co-expression network analysis prioritized functional modules intersecting with differentially expressed genes. We also performed untargeted metabolomics using cells treated with cholesterol for 6 h, which demonstrated extensive remodeling of lipid species. Interestingly, integrated transcriptomic and metabolic analysis uncovered GFPT1-driven Uridine Diphosphate-N-Acetylglucosamine (UDP-GlcNAc) accumulation and increased taurine levels. Validation experiments confirmed upregulation and downregulation through RT-qPCR and increased O-GlcNAcylation via Western blot. Importantly, clinical datasets further supported the correlations between / expression and cholesterol levels in Non-Alcoholic Steatohepatitis (NASH) liver cancer patients. This work establishes a chronological paradigm of cholesterol sensing and identifies and as key regulators bridging glycosylation and lipid pathways, providing mechanistic insights into cholesterol-associated metabolic disorders.

摘要

胆固醇应激深刻地调节细胞过程,但其潜在机制仍未完全了解。为了研究胆固醇反应网络,我们对用胆固醇处理6小时和24小时的HeLa细胞进行了综合转录组(RNA测序)和代谢组(液相色谱-质谱联用)分析。通过对胆固醇应激的HeLa细胞进行转录组分析,我们确定了以早期应激反应和晚期免疫-代谢协调为特征的阶段特异性反应。这揭示了胆固醇处理6小时后1340个基因上调和976个基因下调,分别包括参与胆固醇流出和甾醇生物合成的基因的诱导和抑制,到24小时转变为核因子κB(NF-κB)激活和过氧化物酶体增殖物激活受体(PPAR)途径调节。共表达网络分析确定了与差异表达基因相交的功能模块。我们还对用胆固醇处理6小时的细胞进行了非靶向代谢组学分析,结果表明脂质种类发生了广泛重塑。有趣的是,综合转录组和代谢分析发现谷氨酰胺果糖-6-磷酸转氨酶1(GFPT1)驱动的尿苷二磷酸-N-乙酰葡糖胺(UDP-GlcNAc)积累和牛磺酸水平升高。验证实验通过逆转录定量聚合酶链反应(RT-qPCR)证实了基因的上调和下调,并通过蛋白质免疫印迹法证实了O-连接的N-乙酰葡糖胺糖基化(O-GlcNAcylation)增加。重要的是,临床数据集进一步支持了非酒精性脂肪性肝炎(NASH)肝癌患者中/表达与胆固醇水平之间的相关性。这项工作建立了一个按时间顺序的胆固醇感知范式,并确定了作为连接糖基化和脂质途径的关键调节因子,为胆固醇相关的代谢紊乱提供了机制性见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb9/12346660/130f039dca1d/ijms-26-07108-g007.jpg
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本文引用的文献

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