Mass-Spectrometry-Based Near-Complete Draft of the Saccharomyces cerevisiae Proteome
Mass-Spectrometry-Based Near-Complete Draft of the Saccharomyces cerevisiae Proteome
复制标题
基于质谱的酿酒酵母蛋白质组近乎完整的草案
DOI：
10.1021/acs.jproteome.0c00721
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发表时间：
2021-01-14
影响因子：
4.4
通讯作者：
Xu, Ping
中科院分区：
文献类型：
--
作者：
Gao, Yuan;Ping, Lingyan;Xu, Ping
近年来，蛋白质组学方法在生物体的一组确定的生长条件下被设计为对所有开放阅读框（ORF）进行编目，这一方法已经蓬勃发展。然而，迄今为止，还没有蛋白质组被完全测序。在这里，我们生成了最大的酵母蛋白质组数据集，包括5610个已识别的蛋白质，使用基于优化的样品制备和高分辨率质谱的策略。在鉴定的5610个蛋白质中，94.1%是核心蛋白，实现了酵母ORF的几乎完全覆盖。对缺失蛋白质的综合分析表明，蛋白质的缺失主要是由于物理性质。对蛋白质丰度的回顾表明，我们的蛋白质组包含一个独特的广泛的动态范围。此外，这些值与mRNA丰度高度相关，意味着高水平的准确性、灵敏度和精确度。我们提出的数据可以如何使用的例子，包括重新注释基因定位，提供假基因的表达证据。我们接近完整的酵母蛋白质组数据集将是一个有用的和重要的资源，为进一步的系统研究。
Proteomics approaches designed to catalogue all open reading frames (ORFs) under a defined set of growth conditions of an organism have flourished in recent years. However, no proteome has been sequenced completely so far. Here, we generate the largest yeast proteome data set, including 5610 identified proteins, using a strategy based on optimized sample preparation and high-resolution mass spectrometry. Among the 5610 identified proteins, 94.1% are core proteins, which achieves near-complete coverage of the yeast ORFs. Comprehensive analysis of missing proteins showed that proteins are missed mainly due to physical properties. A review of protein abundance shows that our proteome encompasses a uniquely broad dynamic range. Additionally, these values highly correlate with mRNA abundance, implying a high level of accuracy, sensitivity, and precision. We present examples of how the data could be used, including reannotating gene localization, providing expression evidence of pseudogenes. Our near-complete yeast proteome data set will be a useful and important resource for further systematic studies.