蛋白质组学
生物标志物
蛋白质组
计算生物学
生物标志物发现
定量蛋白质组学
生物
生物信息学
基因组学
基因组
基因
遗传学
作者
Dipankar Bhowmik,Sanjay Kumar Agarwal
出处
期刊:PubMed
日期:2012-03-01
被引量:1
摘要
The term proteomics came into use only about 15 years ago1. Proteomics is the systematic analysis of proteins and peptides in a biological sample. It has been the natural offshoot of the Human Genome Project. A proteome is a list of all expressed proteins in the sample of interest. While genomics links gene activity with disease, proteomics investigates gene expression i.e. the proteins which are the ultimate effector molecules; and hence more relevant to identification of biomarkers. It is the simultaneous study of multiple proteins rather than one protein at a time as in traditional biochemistry2. Proteomics is capable of characterizing several thousand proteins in a single analysis. It has been used for better understanding of renal physiology and pathophysiology of renal diseases1. In clinical nephrology proteomics is a tool to identify biomarkers. The development of a biomarker essentially has three steps: biomarker discovery, validation and ultimately implementation3. Biomarkers are useful for early non-invasive diagnosis of disease, monitoring disease progression and prediction of drug efficacy4. A major advantage of the proteomic approach is its unbiased nature3, and the major disadvantage is that biomarker studies are always underpowered since the number of samples required should exceed the number of observations3. The basic steps of proteomics include (i) albumin removal; (ii) proteins digestion; (iii) protein separation step; and (iv) analysis by mass spectrometry2,5–7.
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