Machine Intelligence Unit, Indian Statistical Institute, 203 B, T Road, Kolkata-700108, India.
BMC Bioinformatics. 2010 Apr 15;11:190. doi: 10.1186/1471-2105-11-190.
Some of the recent investigations in systems biology have revealed the existence of a complex regulatory network between genes, microRNAs (miRNAs) and transcription factors (TFs). In this paper, we focus on TF to miRNA regulation and provide a novel interface for extracting the list of putative TFs for human miRNAs. A putative TF of an miRNA is considered here as those binding within the close genomic locality of that miRNA with respect to its starting or ending base pair on the chromosome. Recent studies suggest that these putative TFs are possible regulators of those miRNAs.
The interface is built around two datasets that consist of the exhaustive lists of putative TFs binding respectively in the 10 kb upstream region (USR) and downstream region (DSR) of human miRNAs. A web server, named as PuTmiR, is designed. It provides an option for extracting the putative TFs for human miRNAs, as per the requirement of a user, based on genomic locality, i.e., any upstream or downstream region of interest less than 10 kb. The degree distributions of the number of putative TFs and miRNAs against each other for the 10 kb USR and DSR are analyzed from the data and they explore some interesting results. We also report about the finding of a significant regulatory activity of the YY1 protein over a set of oncomiRNAs related to the colon cancer.
The interface provided by the PuTmiR web server provides an important resource for analyzing the direct and indirect regulation of human miRNAs. While it is already an established fact that miRNAs are regulated by TFs binding to their USR, this database might possibly help to study whether an miRNA can also be regulated by the TFs binding to their DSR.
系统生物学的一些最新研究揭示了基因、microRNAs(miRNAs)和转录因子(TFs)之间存在复杂的调控网络。本文我们专注于 TF 对 miRNA 的调控,并提供了一种新的接口,用于提取人类 miRNA 的潜在 TF 列表。这里将 miRNA 的潜在 TF 定义为那些在 miRNA 的起始或结束碱基对相对于染色体的近基因组位置处结合的 TF。最近的研究表明,这些潜在的 TF 可能是这些 miRNA 的调节因子。
该接口围绕两个数据集构建,这些数据集包含分别在人类 miRNA 的 10 kb 上游区域(USR)和下游区域(DSR)中结合的潜在 TF 的详尽列表。设计了一个名为 PuTmiR 的 Web 服务器。它根据用户的要求,提供了一种基于基因组位置(即小于 10 kb 的任何上游或下游感兴趣区域)提取人类 miRNA 的潜在 TF 的选项。分析了来自这些数据的 10 kb USR 和 DSR 中潜在 TF 和 miRNA 数量之间的度分布,并探索了一些有趣的结果。我们还报告了 YY1 蛋白对一组与结肠癌相关的致癌 miRNA 的显著调控活性的发现。
PuTmiR Web 服务器提供的接口为分析人类 miRNA 的直接和间接调控提供了重要资源。虽然已经确立了 TF 通过结合到其 USR 来调控 miRNAs 的事实,但这个数据库可能有助于研究 miRNA 是否也可以通过结合到其 DSR 的 TF 来调控。