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Provedor de dados:  Nature Precedings
País:  United Kingdom
Título:  A database of naturally occurring human urinary peptides and proteins for use in clinical applications
Autores:  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
Data:  2007-10-11
Ano:  2007
Palavras-chave:  Biotechnology
Resumo:  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 vascular diseases. Of these, 352 have been sequenced to date. To demonstrate the applicability of this database, two examples of disease diagnosis were provided: For renal damage diagnosis, patients with a specific renal disease were identified with high specificity and sensitivity in a blinded cohort of 131 individuals. We further show definition of biomarkers specific for immunosuppression and complications after transplantation (Kaposi's sarcoma). Due to its high information content, this database will be a powerful tool for the validation of biomarkers for both renal and non-renal diseases.
Tipo:  Manuscript
Fonte:  Nature Precedings
Direitos:  Creative Commons Attribution 3.0 License

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