Large-scale analysis of the position-dependent binding and regulation of human RNA binding proteins.

IF 0.6 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Jianan Lin, Zhengqing Ouyang
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引用次数: 0

Abstract

Background: RNA binding proteins (RBPs) play essential roles in the regulation of RNA metabolism. Recent studies have disclosed that RBPs achieve their functions via binding to their targets in a position-dependent pattern on RNAs. However, few studies have systematically addressed the associations between the RBP's functions and their positional binding preferences.

Methods: Here, we present large-scale analyses on the functional targets of human RBPs by integrating the enhanced cross-linking and immunoprecipitation followed by sequencing (eCLIP-seq) datasets and the shRNA knockdown followed by RNA-seq datasets that are deposited in the integrated ENCyclopedia of DNA Elements in the human genome (ENCODE) data portal.

Results: We found that (1) binding to the translation termination site and the 3'untranslated region is important to most human RBPs in the RNA decay regulation; (2) RBPs' binding and regulation follow a cell-type specific pattern.

Conclusions: These analysis results show the strong relationship between the binding position and the functions of RBPs, which provides novel insights into the RBPs' regulation mechanisms.

人类RNA结合蛋白位置依赖性结合和调控的大规模分析。
背景:RNA结合蛋白(RNA binding protein, rbp)在RNA代谢的调控中起着重要作用。最近的研究表明,rbp通过在rna上以位置依赖的模式与靶标结合来实现其功能。然而,很少有研究系统地探讨RBP功能与其位置结合偏好之间的关系。方法:在这里,我们对人类rbp的功能靶点进行了大规模的分析,通过整合增强交联和免疫沉淀后测序(ecip -seq)数据集和shRNA敲低后RNA-seq数据集,这些数据集存储在人类基因组DNA元件百科全书(ENCODE)数据门户中。结果:我们发现(1)与翻译终止位点和3'非翻译区结合对大多数人rbp在RNA衰变调控中起重要作用;(2) rbp的结合和调控遵循细胞类型特异性模式。结论:这些分析结果显示了rbp的结合位置与功能之间的密切关系,为rbp的调控机制提供了新的见解。
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来源期刊
Quantitative Biology
Quantitative Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
5.00
自引率
3.20%
发文量
264
期刊介绍: Quantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers in order to promote rapid communication and exchange between scientists in the East and the West. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles.
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