Variant biomarker discovery using mass spectrometry-based proteogenomics.

IF 3.3 Q2 GERIATRICS & GERONTOLOGY
Frontiers in aging Pub Date : 2023-04-24 eCollection Date: 2023-01-01 DOI:10.3389/fragi.2023.1191993
Luke Reilly, Sahba Seddighi, Andrew B Singleton, Mark R Cookson, Michael E Ward, Yue A Qi
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引用次数: 0

Abstract

Genomic diversity plays critical roles in risk of disease pathogenesis and diagnosis. While genomic variants-including single nucleotide variants, frameshift variants, and mis-splicing isoforms-are commonly detected at the DNA or RNA level, their translated variant protein or polypeptide products are ultimately the functional units of the associated disease. These products are often released in biofluids and could be leveraged for clinical diagnosis and patient stratification. Recent emergence of integrated analysis of genomics with mass spectrometry-based proteomics for biomarker discovery, also known as proteogenomics, have significantly advanced the understanding disease risk variants, precise medicine, and biomarker discovery. In this review, we discuss variant proteins in the context of cancers and neurodegenerative diseases, outline current and emerging proteogenomic approaches for biomarker discovery, and provide a comprehensive proteogenomic strategy for detection of putative biomarker candidates in human biospecimens. This strategy can be implemented for proteogenomic studies in any field of enquiry. Our review timely addresses the need of biomarkers for aging related diseases.

Abstract Image

Abstract Image

利用基于质谱的蛋白质基因组学发现变异生物标志物。
基因组多样性在疾病发病和诊断风险中起着至关重要的作用。虽然基因组变异——包括单核苷酸变异、移码变异和错剪接异构体——通常在DNA或RNA水平上被检测到,但它们翻译的变异蛋白或多肽产物最终是相关疾病的功能单位。这些产品通常以生物流体形式释放,可用于临床诊断和患者分层。最近出现的基因组学与基于质谱的蛋白质组学的生物标志物发现的综合分析,也称为蛋白质基因组学,显著地促进了对疾病风险变异、精准医学和生物标志物发现的理解。在这篇综述中,我们讨论了癌症和神经退行性疾病背景下的变异蛋白,概述了当前和新兴的生物标志物发现的蛋白质基因组学方法,并提供了一种全面的蛋白质基因组学策略,用于检测人类生物标本中假定的候选生物标志物。该策略可用于任何领域的蛋白质基因组学研究。我们的综述及时解决了对衰老相关疾病的生物标志物的需求。
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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CiteScore
3.00
自引率
0.00%
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审稿时长
13 weeks
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