Ji Zhe
Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois.
Curr Protoc Mol Biol. 2018 Oct;124(1):e66. doi: 10.1002/cpmb.66. Epub 2018 Aug 31.
Ribosome profiling was developed to identify genome-wide RNA fragments associated with translating ribosomes. However, no experimental procedure was developed to effectively purify ribosome-RNA complexes. Actually, ribosome profiling is a transcriptomic RNase footprinting assay, which can identify both ribosomal and non-ribosomal protein-RNA complexes. Many sequencing reads represent functional RNA footprints associated with non-ribosomal proteins. Here I present a computational pipeline named Rfoot to systematically identify genome-wide non-ribosomal RNA footprints, based on the highly localized read distribution feature. Analyses have revealed native functional protein-RNA complexes in lncRNAs, 3'UTRs of mRNAs, and all types of small noncoding RNAs. This computational tool is useful for discovering novel noncoding functions of RNAs. © 2018 by John Wiley & Sons, Inc.
核糖体谱分析技术旨在识别全基因组范围内与正在翻译的核糖体相关的RNA片段。然而,尚未开发出有效纯化核糖体-RNA复合物的实验方法。实际上,核糖体谱分析是一种转录组RNA酶足迹分析方法,它可以识别核糖体和非核糖体蛋白-RNA复合物。许多测序读数代表与非核糖体蛋白相关的功能性RNA足迹。在此,我提出了一个名为Rfoot的计算流程,基于高度局部化的读数分布特征,系统地识别全基因组范围内的非核糖体RNA足迹。分析揭示了lncRNA、mRNA的3'UTR和所有类型的小非编码RNA中的天然功能性蛋白-RNA复合物。这种计算工具对于发现RNA的新型非编码功能很有用。© 2018 John Wiley & Sons, Inc.