蛋白质组学
计算生物学
质谱法
化学
等压标记
生物
串联质谱法
生物化学
蛋白质质谱法
基因
色谱法
作者
Karsten Suhre,Guhan Venkataraman,Harendra Guturu,Anna Halama,Nisha Stephan,Gaurav Thareja,Hina Sarwath,Khatereh Motamedchaboki,Margaret K. R. Donovan,Asim Siddiqui,Serafim Batzoglou,Frank Schmidt
标识
DOI:10.1038/s41467-024-45233-y
摘要
Abstract Proteogenomics studies generate hypotheses on protein function and provide genetic evidence for drug target prioritization. Most previous work has been conducted using affinity-based proteomics approaches. These technologies face challenges, such as uncertainty regarding target identity, non-specific binding, and handling of variants that affect epitope affinity binding. Mass spectrometry-based proteomics can overcome some of these challenges. Here we report a pQTL study using the Proteograph™ Product Suite workflow ( Seer, Inc .) where we quantify over 18,000 unique peptides from nearly 3000 proteins in more than 320 blood samples from a multi-ethnic cohort in a bottom-up, peptide-centric, mass spectrometry-based proteomics approach. We identify 184 protein-altering variants in 137 genes that are significantly associated with their corresponding variant peptides, confirming target specificity of co-associated affinity binders, identifying putatively causal cis -encoded proteins and providing experimental evidence for their presence in blood, including proteins that may be inaccessible to affinity-based proteomics.
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