代谢组
代谢组学
蛋白质组
化学
蛋白质组学
生物标志物发现
色谱法
变异系数
免疫分析
计算生物学
仿形(计算机编程)
质谱法
串联质谱法
生物标志物
定量蛋白质组学
液相色谱-质谱法
生物化学
免疫学
生物
抗体
操作系统
基因
计算机科学
作者
Sushmita Roy,M. Anderle,Hua Lin,Christopher H. Becker
标识
DOI:10.1016/j.ijms.2004.03.017
摘要
A liquid chromatography-mass spectrometry (LC-MS) proteomics and metabolomics platform is presented for quantitative differential expression analysis. Proteome profiles obtained from 1.5 μL of human serum show ∼5000 de-isotoped and quantifiable molecular ions. Approximately 1500 metabolites are observed from 100 μL of serum. Quantification is based on reproducible sample preparation and linear signal intensity as a function of concentration. The platform is validated using human serum, but is generally applicable to all biological fluids and tissues. The median coefficient of variation (CV) for ∼5000 proteomic and ∼1500 metabolomic molecular ions is approximately 25%. For the case of C-reactive protein, results agree with quantification by immunoassay. The independent contributions of two sources of variance, namely sample preparation and LC-MS analysis, are respectively quantified as 20.4 and 15.1% for the proteome, and 19.5 and 13.5% for the metabolome, for median CV values. Furthermore, biological diversity for ∼20 healthy individuals is estimated by measuring the variance of ∼6500 proteomic and metabolomic molecular ions in sera for each sample; the median CV is 22.3% for the proteome and 16.7% for the metabolome. Finally, quantitative differential expression profiling is applied to a clinical study comparing healthy individuals and rheumatoid arthritis (RA) patients.
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