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一种用于识别肝脏再生过程中以USF1为中心的转录调控网络的综合方法。

An integrated approach for the identification of USF1-centered transcriptional regulatory networks during liver regeneration.

作者信息

Chen Huan, Lu Shan, Zhou Jiansheng, Bai Zihe, Fu Hailong, Xu Xiaoping, Yang Shengsheng, Jiao Binghua, Sun Yimin

机构信息

Department of Biochemistry and Molecular Biology, Second Military Medical University, 800 Xiangyin Road, Shanghai 200433, China.

Department of Anesthesiology, Changzheng Hospital, Second Military Medical University, Shanghai 200433, China.

出版信息

Biochim Biophys Acta. 2014 May;1839(5):415-23. doi: 10.1016/j.bbagrm.2014.03.010. Epub 2014 Mar 28.

Abstract

Liver regeneration after partial hepatectomy (PH) is a synchronized process that is precisely controlled by system-wide transcriptional regulatory networks. To clarify the transcriptional changes and regulatory networks that involve transcription factors (TFs) and their target genes during the priming phase, an advanced mouse oligonucleotide array-based transcription factor assay (MOUSE OATFA), mRNA microarray analysis, bioinformatic analysis and ChIP-on-chip experiments were used. A total of 774 genes were upregulated or downregulated in PH liver samples compared with the sham operation (SH) group. Seventeen TFs showed significant changes in activity in the regenerating livers, some of which have not been extensively studied in previous reports, including upstream stimulatory transcription factor 1 (USF1). The TF signatures from MOUSE OATFA were combined with mRNA expression profiles and ChIP-on-chip analyses to construct experimental transcriptional regulatory networks in regenerating livers. USF1-centered regulatory networks were further confirmed by ChIP assays, revealing some of its target genes and novel coregulatory networks. The combination of MOUSE OATFA with transcriptome profiling and bioinformatic analysis represents a novel paradigm for the comprehensive prediction of transcriptional coregulatory networks during the early phase of liver regeneration.

摘要

部分肝切除术后的肝脏再生是一个由全系统转录调控网络精确控制的同步过程。为了阐明启动阶段涉及转录因子(TFs)及其靶基因的转录变化和调控网络,研究采用了基于先进小鼠寡核苷酸阵列的转录因子分析(MOUSE OATFA)、mRNA微阵列分析、生物信息学分析和芯片染色质免疫沉淀实验。与假手术(SH)组相比,PH肝脏样本中共有774个基因上调或下调。17种转录因子在再生肝脏中的活性表现出显著变化,其中一些在以前的报告中尚未得到广泛研究,包括上游刺激转录因子1(USF1)。将MOUSE OATFA的转录因子特征与mRNA表达谱和芯片染色质免疫沉淀分析相结合,构建再生肝脏中的实验性转录调控网络。通过染色质免疫沉淀实验进一步证实了以USF1为中心的调控网络,揭示了其一些靶基因和新的共调控网络。MOUSE OATFA与转录组分析和生物信息学分析的结合代表了一种在肝脏再生早期全面预测转录共调控网络的新范式。

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