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POSTAR:一个用于探索由RNA结合蛋白协调的转录后调控的平台。

POSTAR: a platform for exploring post-transcriptional regulation coordinated by RNA-binding proteins.

作者信息

Hu Boqin, Yang Yu-Cheng T, Huang Yiming, Zhu Yumin, Lu Zhi John

机构信息

MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Center for Plant Biology and Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.

Department of Statistics, University of California Los Angeles, Los Angeles, CA 90095-1554, USA.

出版信息

Nucleic Acids Res. 2017 Jan 4;45(D1):D104-D114. doi: 10.1093/nar/gkw888. Epub 2016 Oct 5.

DOI:10.1093/nar/gkw888
PMID:28053162
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5210617/
Abstract

We present POSTAR (http://POSTAR.ncrnalab.org), a resource of POST-trAnscriptional Regulation coordinated by RNA-binding proteins (RBPs). Precise characterization of post-transcriptional regulatory maps has accelerated dramatically in the past few years. Based on new studies and resources, POSTAR supplies the largest collection of experimentally probed (∼23 million) and computationally predicted (approximately 117 million) RBP binding sites in the human and mouse transcriptomes. POSTAR annotates every transcript and its RBP binding sites using extensive information regarding various molecular regulatory events (e.g., splicing, editing, and modification), RNA secondary structures, disease-associated variants, and gene expression and function. Moreover, POSTAR provides a friendly, multi-mode, integrated search interface, which helps users to connect multiple RBP binding sites with post-transcriptional regulatory events, phenotypes, and diseases. Based on our platform, we were able to obtain novel insights into post-transcriptional regulation, such as the putative association between CPSF6 binding, RNA structural domains, and Li-Fraumeni syndrome SNPs. In summary, POSTAR represents an early effort to systematically annotate post-transcriptional regulatory maps and explore the putative roles of RBPs in human diseases.

摘要

我们展示了POSTAR(http://POSTAR.ncrnalab.org),这是一个由RNA结合蛋白(RBP)协调的转录后调控资源库。在过去几年中,转录后调控图谱的精确表征有了显著加速。基于新的研究和资源,POSTAR提供了人类和小鼠转录组中实验探测到的(约2300万个)和通过计算预测的(约1.17亿个)RBP结合位点的最大集合。POSTAR利用有关各种分子调控事件(如剪接、编辑和修饰)、RNA二级结构、疾病相关变体以及基因表达和功能的广泛信息,对每个转录本及其RBP结合位点进行注释。此外,POSTAR提供了一个友好的、多模式的集成搜索界面,帮助用户将多个RBP结合位点与转录后调控事件、表型和疾病联系起来。基于我们的平台,我们能够获得对转录后调控的新见解,例如CPSF6结合、RNA结构域和李-弗劳梅尼综合征单核苷酸多态性之间的假定关联。总之,POSTAR代表了系统注释转录后调控图谱并探索RBP在人类疾病中假定作用的早期努力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/6c623137fb8f/gkw888fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/2acc25a83865/gkw888fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/451df59c1539/gkw888fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/56dc8710f841/gkw888fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/6c623137fb8f/gkw888fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/2acc25a83865/gkw888fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/451df59c1539/gkw888fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/56dc8710f841/gkw888fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df9c/5210617/6c623137fb8f/gkw888fig4.jpg

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