蛋白质组学
哮喘
定量蛋白质组学
生物标志物
鉴定(生物学)
医学
计算生物学
生物标志物发现
疾病
生物信息学
数据科学
作者
Yanting Lan,Xiaoyin Zeng,Jing Xiao,Longbo Hu,Long Tan,Mengdi Liang,Xufei Wang,Shaohua Lu,Fei Long,Tao Peng
标识
DOI:10.1080/14789450.2021.2017777
摘要
Asthma is the most common chronic respiratory disease and has been declared a global public health problem by the World Health Organization. Due to the high heterogeneity and complexity, asthma can be classified into different 'phenotypes' and it is still difficult to assess the phenotypes and stages of asthma by traditional methods. In recent years, mass spectrometry-based proteomics studies have made significant progress in sensitivity and accuracy of protein identification and quantitation, and are able to obtain differences in protein expression across samples, which provides new insights into the mechanisms and classification of asthma.In this article, we summarize research strategies in quantitative proteomics, including labeled, label-free and targeted quantification, and highlight the advantages and disadvantages of each. In addition, new applications of quantitative proteomics and the current status of research in asthma have also been discussed. In this study, online resources such as PubMed and Google Scholar were used for literature retrieval.The application of quantitative proteomics in asthma has an important role in identifying asthma subphenotypes, revealing potential pathogenesis and therapeutic targets. But the proteomic studies on asthma are not sufficient, as most of them are in the phase of biomarker discovery.
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