Truncated protein isoforms generate diversity of protein localization and function in yeast

IF 9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Andrea L. Higdon, Nathan H. Won, Gloria A. Brar
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引用次数: 0

Abstract

Genome-wide measurement of ribosome occupancy on mRNAs has enabled empirical identification of translated regions, but high-confidence detection of coding regions that overlap annotated coding regions has remained challenging. Here, we report a sensitive and robust algorithm that revealed the translation of 388 N-terminally truncated proteins in budding yeast—more than 30-fold more than previously known. We extensively experimentally validated them and defined two classes. The first class lacks large portions of the annotated protein and tends to be produced from a truncated transcript. We show that two such cases, Yap5truncation and Pus1truncation, have condition-specific regulation and distinct functions from their respective annotated isoforms. The second class of truncated protein isoforms lacks only a small region of the annotated protein and is less likely to be produced from an alternative transcript isoform. Many display different subcellular localizations than their annotated counterpart, representing a common strategy for dual localization of otherwise functionally identical proteins.

A record of this paper’s transparent peer review process is included in the supplemental information.

截短蛋白质异构体在酵母中产生蛋白质定位和功能的多样性
在全基因组范围内测量核糖体在 mRNA 上的占位情况可以对翻译区进行经验性鉴定,但对与注释编码区重叠的编码区进行高置信度检测仍然具有挑战性。在这里,我们报告了一种灵敏而稳健的算法,它揭示了芽殖酵母中 388 个 N 端截短蛋白的翻译--比之前已知的多 30 倍以上。我们对它们进行了广泛的实验验证,并定义了两个类别。第一类缺乏注释蛋白质的大部分,往往由截短的转录本产生。我们发现,Yap5截短蛋白和 Pus1 截短蛋白这两种情况具有条件特异性调控,其功能与各自的注释异构体不同。第二类截短蛋白异构体只缺少注释蛋白的一小部分区域,不太可能由替代转录本异构体产生。许多蛋白的亚细胞定位与其注释的对应蛋白不同,这是功能相同的蛋白进行双重定位的常见策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cell Systems
Cell Systems Medicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍: In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.
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