蛋白质组学
蛋白质组
计算生物学
有机体
蛋白质表达
分类
定量蛋白质组学
化学
生物信息学
计算机科学
生物
数据科学
生物化学
遗传学
人工智能
基因
作者
Bilal Aslam,Madiha Basit,Muhammad Atif Nisar,Mohsin Khurshid,Muhammad Hidayat Rasool
出处
期刊:Journal of Chromatographic Science
[Oxford University Press]
日期:2016-10-18
卷期号:55 (2): 182-196
被引量:776
标识
DOI:10.1093/chromsci/bmw167
摘要
Proteomics involves the applications of technologies for the identification and quantification of overall proteins present content of a cell, tissue or an organism. It supplements the other "omics" technologies such as genomic and transcriptomics to expound the identity of proteins of an organism, and to cognize the structure and functions of a particular protein. Proteomics-based technologies are utilized in various capacities for different research settings such as detection of various diagnostic markers, candidates for vaccine production, understanding pathogenicity mechanisms, alteration of expression patterns in response to different signals and interpretation of functional protein pathways in different diseases. Proteomics is practically intricate because it includes the analysis and categorization of overall protein signatures of a genome. Mass spectrometry with LC-MS-MS and MALDI-TOF/TOF being widely used equipment is the central among current proteomics. However, utilization of proteomics facilities including the software for equipment, databases and the requirement of skilled personnel substantially increase the costs, therefore limit their wider use especially in the developing world. Furthermore, the proteome is highly dynamic because of complex regulatory systems that control the expression levels of proteins. This review efforts to describe the various proteomics approaches, the recent developments and their application in research and analysis.
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