使用多种不同蛋白质组学平台对多囊卵巢综合征（PCOS）中的生物标志物进行表征。
Characterization of biomarkers in polycystic ovary syndrome (PCOS) using multiple distinct proteomic platforms.
作者信息
Matharoo-Ball B, Hughes C, Lancashire L, Tooth D, Ball G, Creaser C, Elgasim M, Rees R, Layfield R, Atiomo W
机构信息
School of Biomedical and Natural Sciences, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, United Kingdom.
出版信息
J Proteome Res. 2007 Aug;6(8):3321-8. doi: 10.1021/pr070124b. Epub 2007 Jun 29.
A variety of prefractionation methods (including a novel reversed-phase solid-phase-extraction (RP-SPE) combined with SDS-PAGE and proteomic based approaches (e.g., 2-dimensional gel electrophoresis (2DE) and MALDI-TOF mass spectrometry combined with Artificial Neural Network (ANN) bioinformatic tools) were used to investigate the protein/peptide signatures in patients with Polycystic Ovary Syndrome (PCOS). Four potential PCOS biomarkers were identified (complement C4alpha3c and C4gamma and haptoglobin alpha and beta chains).
采用多种预分级方法（包括一种新型的反相固相萃取（RP-SPE）结合十二烷基硫酸钠-聚丙烯酰胺凝胶电泳（SDS-PAGE）以及基于蛋白质组学的方法（例如二维凝胶电泳（2DE）和基质辅助激光解吸电离飞行时间质谱（MALDI-TOF）结合人工神经网络（ANN）生物信息学工具）来研究多囊卵巢综合征（PCOS）患者的蛋白质/肽特征。鉴定出了四种潜在的PCOS生物标志物（补体C4α3c和C4γ以及触珠蛋白α和β链）。
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