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Improved Identification and Analysis of Small Open Reading Frame Encoded Polypeptides

机译:小型开放阅读框编码多肽的鉴定和分析的改进

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摘要

Computational, genomic, and proteomic approaches have been used to discover nonannotated protein coding small open reading frames (smORFs). Some novel smORFs have crucial biological roles in cells and organisms, which motivates the search for additional smORFs. Proteomic smORF discovery methods are advantageous because they detect smORF-encoded polypeptides (SEPs) to validate smORF translation and SEP stability. Because SEPs are shorter and less abundant than average proteins, SEP detection using proteomics faces unique challenges. Here, we optimize several steps in the SEP discovery workflow to improve SEP isolation and identification. These changes have led to the detection of several new human SEPs (novel human genes), improved confidence in the SEP assignments, and enabled quantification of SEPs under different cellular conditions. These improvements will allow faster detection and characterization of new SEPs and smORFs.
机译:计算,基因组和蛋白质组学方法已被用于发现编码小开放阅读框(smORF)的无注释蛋白质。一些新颖的smORF在细胞和生物体中具有至关重要的生物学作用,这促使人们寻求其他smORF。蛋白质组学smORF发现方法是有利的,因为它们检测smORF编码的多肽(SEP)以验证smORF翻译和SEP稳定性。由于SEP比普通蛋白质短且含量不足,因此使用蛋白质组学进行SEP检测面临着独特的挑战。在这里,我们优化了SEP发现工作流程中的几个步骤,以改善SEP隔离和识别。这些变化导致检测到几种新的人类SEP(新人类基因),提高了对SEP分配的信心,并能够在不同细胞条件下对SEP进行定量。这些改进将允许更快地检测和表征新的SEP和smORF。

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