首页> 外文期刊>BMC Genomics >Analysis of deep sequencing microRNA expression profile from human embryonic stem cells derived mesenchymal stem cells reveals possible role of let-7 microRNA family in downstream targeting of Hepatic Nuclear Factor 4 Alpha
【24h】

Analysis of deep sequencing microRNA expression profile from human embryonic stem cells derived mesenchymal stem cells reveals possible role of let-7 microRNA family in downstream targeting of Hepatic Nuclear Factor 4 Alpha

机译:人类胚胎干细胞来源的间充质干细胞的深度测序microRNA表达谱分析表明,let-7 microRNA家族在肝核因子4α下游靶向中的可能作用

获取原文
           

摘要

BackgroundRecent literature has revealed that genetic exchange of microRNA between cells can be essential for cell-cell communication, tissue-specificity and developmental processes. In stem cells, as in other cells, this can be accomplished through microvesicles or exosome mediated transfer. However, molecular profiles and functions of microRNAs within the cells and in their exosomes are poorly studied. Next generation sequencing technologies could provide a broad-spectrum of microRNAs and their expression and identify possible microRNA targets. In this work, we performed deep sequencing of microRNAs to understand the profile and expression of the microRNAs in microvesicles and intracellular environment of human embryonic stem cells derived mesenchymal stem cells (hES-MSC).We outline a workflow pertaining to visualizing, statistical analysis and interpreting deep sequencing data of known intracellular and extracellular microRNAs from hES-MSC). We utilized these results of which directed our attention towards establishing hepatic nuclear factor 4 alpha (HNF4A) as a downstream target of let-7 family of microRNAs.ResultsIn our study, significant differences in expression profile of microRNAs were found in the intracellular and extracellular environment of hES-MSC. However, a high level of let-7 family of microRNAs is predominant in both intra- and extra- cellular samples of hES-MSC. Further results derived from visualization of our alignment data and network analysis showed that let-7 family microRNAs could affect the downstream target HNF4A, which is a known endodermal differentiation marker. The elevated presence of let-7 microRNA in both intracellular and extra cellular environment further suggests a possible intercellular signalling mechanism through microvesicles transfer. We suggest that let-7 family microRNAs might play a signalling role via such a mechanism amongst populations of stem cells in maintaining self renewal property by suppressing HNF4A expression. This is in line with recent paradigm where microRNAs regulate self-renewal and differentiation pathways of embryonic stem cells by forming an integral biological network with transcription factors.ConclusionIn summary, our study using a combination of alignment, statistical and network analysis tools to examine deep sequencing data of microRNAs in hES-MSC has led to a result that (i) identifies intracellular and exosome microRNA expression profiles of hES-MSCwith a possible mechanism of miRNA mediated intercellular regulation by these cells and (ii) placed HNF4A within the cross roads of regulation by the let-7 family of microRNAs.
机译:背景技术最近的文献已经揭示了细胞之间微小RNA的遗传交换对于细胞间的通讯,组织特异性和发育过程至关重要。在干细胞中,就像在其他细胞中一样,这可以通过微泡或外来体介导的转移来实现。但是,细胞和其外泌体中的微小RNA的分子特征和功能的研究很少。下一代测序技术可以提供广泛的microRNA及其表达,并鉴定可能的microRNA靶标。在这项工作中,我们进行了microRNA的深度测序,以了解microRNA在人类胚胎干细胞衍生的间充质干细胞(hES-MSC)的微泡和细胞内环境中的概况和表达。我们概述了与可视化,统计分析和解释来自hES-MSC的已知细胞内和细胞外microRNA的深度测序数据)。我们利用这些结果将我们的注意力转向建立肝细胞核因子4α(HNF4A)作为let-7家族microRNA的下游靶标。结果在我们的研究中,发现在细胞内和细胞外环境中microRNA的表达谱存在显着差异。 hES-MSC。但是,在hES-MSC的细胞内和细胞外样品中,let-7家族的microRNA含量较高。从我们的比对数据的可视化和网络分析得出的进一步结果表明,let-7家族的microRNA可能影响下游靶标HNF4A,这是一种已知的内胚层分化标记。在细胞内和细胞外环境中,let-7 microRNA含量的升高进一步暗示了通过微泡转移可能的细胞间信号传导机制。我们建议let-7家族microRNA可能通过这种机制在干细胞群体中通过抑制HNF4A表达来维持自我更新的特性发挥信号作用。这与最近的范例相吻合,microRNA通过与转录因子形成完整的生物网络来调节胚胎干细胞的自我更新和分化途径。结论总而言之,我们的研究使用比对,统计和网络分析工具相结合来研究深度测序hES-MSC中microRNA的数据已导致以下结果:(i)鉴定hES-MSC的细胞内和外体microRNA表达谱,以及这些细胞可能通过miRNA介导的细胞间调控机制,以及(ii)将HNF4A置于调控的交叉途径内由let-7家族的microRNA组成。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号