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

POSTAR: a platform for exploring post-transcriptional regulation coordinated by RNA-binding proteins.
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POSTAR:探索 RNA 结合蛋白协调的转录后调控的平台

DOI:
10.1093/nar/gkw888
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发表时间:
2017-01-04
影响因子:
14.9
通讯作者:
Lu ZJ
Lu ZJ
中科院分区:
生物学2区
文献类型:
--
作者:
Hu B;Yang YT;Huang Y;Zhu Y;Lu ZJ

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我们提出了POSTAR(http://POSTAR.ncrnalab.org),),这是一种由RNA结合蛋白(RBPs)协调的转录后调控资源。在过去的几年里,转录后调控图的精确表征已经显著加快。基于新的研究和资源,POSTAR提供了人类和小鼠转录本中实验探测和计算预测(约1.17亿)∼结合位点的最大集合。POSTAR使用关于各种分子调控事件(例如剪接、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来注释每个转录本及其RBP结合位点。此外,POSTAR提供了一个友好的、多模式的、集成的搜索界面,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,我们能够对转录后调控获得新的见解,例如CPSF6结合、RNA结构域和Li-Fraumeni综合征SNPs之间的假定关联。总之,POSTAR代表了系统地注释转录后调控图和探索限制性商业惯例在人类疾病中的假定作用的早期努力。
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.
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发表时间: 2011-04-01
期刊: Bioinformatics (Oxford, England)
影响因子: --
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