Radío Santiago, Fort Rafael Sebastián, Garat Beatriz, Sotelo-Silveira José, Smircich Pablo
Department of Genomics, Instituto de Investigaciones Biológicas Clemente Estable, MEC, Montevideo, Uruguay.
Laboratory of Molecular Interactions, Facultad de Ciencias. Universidad de la República, Montevideo, Uruguay.
Front Genet. 2018 Dec 18;9:671. doi: 10.3389/fgene.2018.00671. eCollection 2018.
Most signals involved in post-transcriptional regulatory networks are located in the untranslated regions (UTRs) of the mRNAs. Therefore, to deepen our understanding of gene expression regulation, delimitation of these regions with high accuracy is needed. The trypanosomatid lineage includes a variety of parasitic protozoans causing a significant worldwide burden on human health. Given their peculiar mechanisms of gene expression, these organisms depend on post-transcriptional regulation as the main level of gene expression control. In this context, the definition of the UTR regions becomes of key importance. We have developed UTR-mini-exon (UTRme), a graphical user interface (GUI) stand-alone application to identify and annotate 5' and 3' UTR regions in a highly accurate way. UTRme implements a multiple scoring system tailored to address the issue of false positive UTR assignment that frequently arise because of the characteristics of the intergenic regions. Even though it was developed for trypanosomatids, the tool can be used to predict 3' sites in any eukaryote and 5' UTRs in any organism where trans-splicing occurs (such as the model organism ). UTRme offers a way for non-bioinformaticians to precisely determine UTRs from transcriptomic data. The tool is freely available via the conda and github repositories.
转录后调控网络中涉及的大多数信号都位于mRNA的非翻译区(UTR)。因此,为了加深我们对基因表达调控的理解,需要高精度地界定这些区域。锥虫谱系包括多种寄生原生动物,给全球人类健康带来了沉重负担。鉴于其独特的基因表达机制,这些生物体依赖转录后调控作为基因表达控制的主要层面。在此背景下,UTR区域的定义变得至关重要。我们开发了UTR-小外显子(UTRme),这是一个图形用户界面(GUI)独立应用程序,用于以高精度识别和注释5'和3'UTR区域。UTRme实施了一个多重评分系统,专门解决由于基因间区域的特征而经常出现的UTR错误分配问题。尽管它是为锥虫开发的,但该工具可用于预测任何真核生物中的3'位点以及发生反式剪接的任何生物体(如模式生物)中的5'UTR。UTRme为非生物信息学家提供了一种从转录组数据中精确确定UTR的方法。该工具可通过conda和github存储库免费获取。