Chemoproteogenomic stratification of the missense variant cysteinome

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Heta Desai, Katrina H. Andrews, Kristina V. Bergersen, Samuel Ofori, Fengchao Yu, Flowreen Shikwana, Mark A. Arbing, Lisa M. Boatner, Miranda Villanueva, Nicholas Ung, Elaine F. Reed, Alexey I. Nesvizhskii, Keriann M. Backus
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Abstract

Cancer genomes are rife with genetic variants; one key outcome of this variation is widespread gain-of-cysteine mutations. These acquired cysteines can be both driver mutations and sites targeted by precision therapies. However, despite their ubiquity, nearly all acquired cysteines remain unidentified via chemoproteomics; identification is a critical step to enable functional analysis, including assessment of potential druggability and susceptibility to oxidation. Here, we pair cysteine chemoproteomics—a technique that enables proteome-wide pinpointing of functional, redox sensitive, and potentially druggable residues—with genomics to reveal the hidden landscape of cysteine genetic variation. Our chemoproteogenomics platform integrates chemoproteomic, whole exome, and RNA-seq data, with a customized two-stage false discovery rate (FDR) error controlled proteomic search, which is further enhanced with a user-friendly FragPipe interface. Chemoproteogenomics analysis reveals that cysteine acquisition is a ubiquitous feature of both healthy and cancer genomes that is further elevated in the context of decreased DNA repair. Reference cysteines proximal to missense variants are also found to be pervasive, supporting heretofore untapped opportunities for variant-specific chemical probe development campaigns. As chemoproteogenomics is further distinguished by sample-matched combinatorial variant databases and is compatible with redox proteomics and small molecule screening, we expect widespread utility in guiding proteoform-specific biology and therapeutic discovery.

Abstract Image

错义变体半胱氨酸组的化学蛋白基因组分层
癌症基因组中充斥着大量基因变异;这种变异的一个主要结果是广泛的半胱氨酸增益突变。这些获得性半胱氨酸既可以是驱动突变,也可以是精准疗法的靶点。然而,尽管半胱氨酸无处不在,但几乎所有获得性半胱氨酸仍未通过化学蛋白质组学进行鉴定;鉴定是进行功能分析的关键步骤,包括评估潜在的可药性和易氧化性。在这里,我们将半胱氨酸化学蛋白质组学--一种能在整个蛋白质组范围内精确定位功能性、氧化还原敏感性和潜在可药用残基的技术--与基因组学结合起来,揭示半胱氨酸遗传变异的隐性景观。我们的化学蛋白基因组学平台整合了化学蛋白组学、全外显子组和 RNA-seq 数据,以及定制的两阶段错误发现率 (FDR) 错误控制蛋白组学搜索,并通过用户友好的 FragPipe 界面进一步加强了这一功能。化学蛋白基因组学分析表明,半胱氨酸获得是健康基因组和癌症基因组的一个普遍特征,在DNA修复能力下降的情况下,半胱氨酸获得会进一步增加。错义变异附近的参考半胱氨酸也被发现是普遍存在的,这为变异特异性化学探针开发活动提供了迄今尚未开发的机会。由于化学蛋白基因组学与样本匹配的组合变异数据库有进一步的区别,并与氧化还原蛋白质组学和小分子筛选兼容,我们预计它将在指导蛋白质形式特异性生物学和治疗发现方面发挥广泛的作用。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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