蛋白质基因组学
计算生物学
蛋白质组学
生物
精密医学
生物信息学
基因组学
基因
遗传学
基因组
作者
Sunil Kumar Joshi,Paul Piehowski,Tao Liu,Sara J.C. Gosline,Jason McDermott,Brian J. Druker,Elie Traer,Jeffrey W. Tyner,Anupriya Agarwal,Cristina E. Tognon,Karin Rodland
出处
期刊:Annual Review of Pharmacology and Toxicology
[Annual Reviews]
日期:2023-09-22
卷期号:64 (1)
标识
DOI:10.1146/annurev-pharmtox-022723-113921
摘要
Proteogenomics refers to the integration of comprehensive genomic, transcriptomic, and proteomic measurements from the same samples with the goal of fully understanding the regulatory processes converting genotypes to phenotypes, often with an emphasis on gaining a deeper understanding of disease processes. Although specific genetic mutations have long been known to drive the development of multiple cancers, gene mutations alone do not always predict prognosis or response to targeted therapy. The benefit of proteogenomics research is that information obtained from proteins and their corresponding pathways provides insight into therapeutic targets that can complement genomic information by providing an additional dimension regarding the underlying mechanisms and pathophysiology of tumors. This review describes the novel insights into tumor biology and drug resistance derived from proteogenomic analysis while highlighting the clinical potential of proteogenomic observations and advances in technique and analysis tools. Expected final online publication date for the Annual Review of Pharmacology and Toxicology, Volume 64 is January 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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