Zhang Hui, Loriaux Paul, Eng Jimmy, Campbell David, Keller Andrew, Moss Pat, Bonneau Richard, Zhang Ning, Zhou Yong, Wollscheid Bernd, Cooke Kelly, Yi Eugene C, Lee Hookeun, Peskind Elaine R, Zhang Jing, Smith Richard D, Aebersold Ruedi
Institute for Systems Biology, Seattle, WA 98103, USA.
Genome Biol. 2006;7(8):R73. doi: 10.1186/gb-2006-7-8-R73. Epub 2006 Aug 10.
There has been considerable recent interest in proteomic analyses of plasma for the purpose of discovering biomarkers. Profiling N-linked glycopeptides is a particularly promising method because the population of N-linked glycosites represents the proteomes of plasma, the cell surface, and secreted proteins at very low redundancy and provides a compelling link between the tissue and plasma proteomes. Here, we describe UniPep http://www.unipep.org--a database of human N-linked glycosites--as a resource for biomarker discovery.
最近,人们对血浆的蛋白质组学分析以发现生物标志物产生了浓厚兴趣。分析N-连接糖肽是一种特别有前景的方法,因为N-连接糖基化位点群体以非常低的冗余度代表了血浆、细胞表面和分泌蛋白的蛋白质组,并在组织和血浆蛋白质组之间提供了令人信服的联系。在此,我们将UniPep(http://www.unipep.org)——一个人类N-连接糖基化位点数据库——描述为一种用于生物标志物发现的资源。