Suppr超能文献

近期基于质谱的蛋白质组学在肺癌、慢性阻塞性肺疾病和哮喘生物标志物发现中的应用。

Recent mass spectrometry-based proteomics for biomarker discovery in lung cancer, COPD, and asthma.

作者信息

Fujii Kiyonaga, Nakamura Haruhiko, Nishimura Toshihide

机构信息

a Department of Translational Medicine Informatics , St. Marianna University School of Medicine, Miyamae-ku , Kawasaki , Japan.

b Department of Chest Surgery , St. Marianna University School of Medicine, Miyamae-ku , Kawasaki , Japan.

出版信息

Expert Rev Proteomics. 2017 Apr;14(4):373-386. doi: 10.1080/14789450.2017.1304215. Epub 2017 Mar 17.

Abstract

Lung cancer and related diseases have been one of the most common causes of deaths worldwide. Genomic-based biomarkers may hardly reflect the underlying dynamic molecular mechanism of functional protein interactions, which is the center of a disease. Recent developments in mass spectrometry (MS) have made it possible to analyze disease-relevant proteins expressed in clinical specimens by proteomic challenges. Areas covered: To understand the molecular mechanisms of lung cancer and its subtypes, chronic obstructive pulmonary disease (COPD), asthma and others, great efforts have been taken to identify numerous relevant proteins by MS-based clinical proteomic approaches. Since lung cancer is a multifactorial disease that is biologically associated with asthma and COPD among various lung diseases, this study focused on proteomic studies on biomarker discovery using various clinical specimens for lung cancer, COPD, and asthma. Expert commentary: MS-based exploratory proteomics utilizing clinical specimens, which can incorporate both experimental and bioinformatic analysis of protein-protein interaction and also can adopt proteogenomic approaches, makes it possible to reveal molecular networks that are relevant to a disease subgroup and that could differentiate between drug responders and non-responders, good and poor prognoses, drug resistance, and so on.

摘要

肺癌及相关疾病一直是全球最常见的死亡原因之一。基于基因组的生物标志物可能很难反映功能性蛋白质相互作用的潜在动态分子机制,而这正是疾病的核心。质谱(MS)技术的最新进展使得通过蛋白质组学研究分析临床标本中表达的与疾病相关的蛋白质成为可能。涵盖领域:为了了解肺癌及其亚型、慢性阻塞性肺疾病(COPD)、哮喘等疾病的分子机制,人们通过基于质谱的临床蛋白质组学方法付出巨大努力来鉴定众多相关蛋白质。由于肺癌是一种多因素疾病,在各种肺部疾病中与哮喘和COPD存在生物学关联,本研究聚焦于利用肺癌、COPD和哮喘的各种临床标本进行生物标志物发现的蛋白质组学研究。专家评论:利用临床标本的基于质谱的探索性蛋白质组学,它可以将蛋白质 - 蛋白质相互作用的实验分析和生物信息学分析结合起来,还可以采用蛋白质基因组学方法,从而有可能揭示与疾病亚组相关的分子网络,并且能够区分药物反应者和无反应者、预后良好和不良、耐药性等情况。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验