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Deciphering the disease-related molecular networks using urine proteomics
Trends in Analytical Chemistry ( IF 11.8 ) Pub Date : 2017-07-22 00:00:00 , DOI: 10.1016/j.trac.2017.07.018
Paulo André Dias Bastos , Antonia Vlahou , Adelino Leite-Moreira , Lúcio Lara Santos , Rita Ferreira , Rui Vitorino

Despite the large number of studies focused on the impact of diseases on urine proteome, few outputs with clinical meaning were retrieved so far. The goal of this study was to identify the biological processes modulated in urine by distinct diseases to better understand disease pathogenesis and identify urinary proteins with potential diagnosis value. We searched PubMed and SCOPUS databases for mass spectrometry based experimental papers and pooled differentially expressed proteins by disease and target organic system.

中文翻译:

使用尿液蛋白质组学破译与疾病相关的分子网络

尽管有大量针对疾病对尿蛋白的影响的研究,但到目前为止,几乎没有具有临床意义的输出。这项研究的目的是确定尿液受不同疾病调节的生物学过程,以更好地了解疾病的发病机理并鉴定具有潜在诊断价值的尿蛋白。我们在PubMed和SCOPUS数据库中搜索了基于质谱的实验论文,并按疾病和目标有机系统汇总了差异表达的蛋白质。
更新日期:2017-07-23
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