Exploring the pathogenic antigens implicated in membranous glomerulonephritis by proteomics and bioinformatics using "All and None" approach strategy

我们的目的是揭示与膜性肾病有关的抗原。使用鸟枪蛋白质组学结合实验室自制的软件（所有和无），我们分析了30个膜性肾病肾活检标本。我们收集了50个肾小球切片用于LC-MS/MS分析。Mascot或ProluCID用作搜索引擎，以区分这些样品与对照组相比的蛋白质差异。 我们描绘了一个初步的蛋白质组图谱，可能涉及这种疾病的失调蛋白质，并分析这些蛋白质，通过使用基因本体识别相关的疾病的生物过程。此外，我们还生成了一个数据库供进一步使用，该数据库将被整合到人类肾脏尿液蛋白质组计划（HKUPP）中。

We aimed at disclosing the antigens implicated in membranous nephropathy. Using shotgun proteomics combined with laboratory-made software (All and None), we analyzed 30 membranous nephropathy kidney biopsy samples. We collected 50 glomeruli sections for analysis by LC-MS/MS. Mascot or ProluCID were used as search engines to discriminate protein differences in these samples compared to control groups. We depicted an initial proteome profile for the possible dysregulated proteins implicated in this disease, and analyzed these proteins by using gene ontology for identification of biological processes relevant to the disease. In addition, we generated a database for further use, which would be integrated in the Human Kidney Urine Proteome Project (HKUPP).