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A database of naturally occurring human urinary peptides and proteins for use in clinical applications 17
Petra Zürbig; Joshua Coon; Hartwig Bauer; Georg Behrens; Mohammed Dakna; Anna Dominiczak; Stephane Decramer; Jochen Ehrich; Danilo Fliser; Moritz Frommberger; Arnold Ganser; Mark Giolami; Igor Golovko; David Good; Wilfried Gwinner; Marion Haubitz; Stefan Herget-Rosenthal; Holger Jahn; George Jerums; Bruce Julian; Markus Kellmann; Volker Kliem; Walter Kolch; Andrzej Krolewski; Mario Luppi; Ziad Massy; Michael Melter; Christian Neusüss; Jan Novak; Karlheinz Peter; Kasper Rossing; Harald Rupprecht; Joost Schanstra; Eric Schiffer; Jens-Uwe Stolzenburg; Lise Tarnow; Dan Theodorescu; Visith Thongboonkerd; Raymond Vanholder; Eva Weissinger; Harald Mischak; Philippe Schmitt-Kopplin.
Owing to its availability, ease of collection and correlation with (patho-) physiology, urine is an attractive source for clinical proteomics. However, the lack of comparable datasets from large cohorts has greatly hindered development in this field. Here we report the establishment of a high resolution proteome database of naturally occurring human urinary peptides and proteins - ranging from 800-17,000 Da - from over 3,600 individual samples using capillary electrophoresis coupled to mass spectrometry, yielding an average of 1,500 peptides per sample. All processed data were deposited in an SQL database, currently containing 5,010 relevant unique urinary peptides that serve as classifiers for diagnosis and monitoring of diseases, including kidney and...
Tipo: Manuscript Palavras-chave: Biotechnology.
Ano: 2007 URL:
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