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首页> 外文期刊>Reproductive Biology and Endocrinology >Integration analysis of microRNA and mRNA paired expression profiling identifies deregulated microRNA-transcription factor-gene regulatory networks in ovarian endometriosis
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Integration analysis of microRNA and mRNA paired expression profiling identifies deregulated microRNA-transcription factor-gene regulatory networks in ovarian endometriosis

机译:microRNA和mRNA配对表达谱的整合分析可确定卵巢内异症中microRNA转录因子基因调控网络的失控

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摘要

The etiology and pathophysiology of endometriosis remain unclear. Accumulating evidence suggests that aberrant microRNA (miRNA) and transcription factor (TF) expression may be involved in the pathogenesis and development of endometriosis. This study therefore aims to survey the key miRNAs, TFs and genes and further understand the mechanism of endometriosis. Paired expression profiling of miRNA and mRNA in ectopic endometria compared with eutopic endometria were determined by high-throughput sequencing techniques in eight patients with ovarian endometriosis. Binary interactions and circuits among the miRNAs, TFs, and corresponding genes were identified by the Pearson correlation coefficients. miRNA-TF-gene regulatory networks were constructed using bioinformatic methods. Eleven selected miRNAs and TFs were validated by quantitative reverse transcription-polymerase chain reaction in 22 patients. Overall, 107 differentially expressed miRNAs and 6112 differentially expressed mRNAs were identified by comparing the sequencing of the ectopic endometrium group and the eutopic endometrium group. The miRNA-TF-gene regulatory network consists of 22 miRNAs, 12 TFs and 430 corresponding genes. Specifically, some key regulators from the miR-449 and miR-34b/c cluster, miR-200 family, miR-106a-363 cluster, miR-182/183, FOX family, GATA family, and E2F family as well as CEBPA, SOX9 and HNF4A were suggested to play vital regulatory roles in the pathogenesis of endometriosis. Integration analysis of the miRNA and mRNA expression profiles presents a unique insight into the regulatory network of this enigmatic disorder and possibly provides clues regarding replacement therapy for endometriosis.
机译:子宫内膜异位的病因和病理生理仍不清楚。越来越多的证据表明异常的microRNA(miRNA)和转录因子(TF)的表达可能与子宫内膜异位症的发病机制有关。因此,本研究旨在调查关键的miRNA,TF和基因,并进一步了解子宫内膜异位症的机制。通过高通量测序技术,对八名卵巢子宫内膜异位症患者的异位子宫内膜与异位子宫内膜相比,miRNA和mRNA的配对表达谱进行了测定。通过Pearson相关系数确定了miRNA,TF和相应基因之间的二进制相互作用和回路。使用生物信息学方法构建了miRNA-TF基因调控网络。通过定量逆转录-聚合酶链反应在22例患者中验证了11个选定的miRNA和TF。总体上,通过比较异位子宫内膜组和异位子宫内膜组的测序,鉴定出107种差异表达的miRNA和6112种差异表达的mRNA。 miRNA-TF基因调控网络由22个miRNA,12个TF和430个相应基因组成。具体来说,来自miR-449和miR-34b / c集群,miR-200家族,miR-106a-363​​集群,miR-182 / 183,FOX家族,GATA家族和E2F家族以及CEBPA的一些主要调控者, SOX9和HNF4A被认为在子宫内膜异位症的发病机理中起着至关重要的调节作用。 miRNA和mRNA表达图谱的整合分析为这种神秘疾病的调节网络提供了独特的见识,并可能提供有关子宫内膜异位症替代治疗的线索。

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