Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease*

@article{Good2010NaturallyOH,
  title={Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease*},
  author={David M. Good and Petra Z{\"u}rbig and {\`A}ngel Argil{\'e}s and Hartwig Wilhelm Bauer and Georg M.N. Behrens and Joshua J. Coon and Mohammed Dakna and St{\'e}phane Decramer and Christian Delles and Anna F. Dominiczak and Jochen Ehrich and Frank Eitner and Danilo Fliser and Moritz Frommberger and Arnold Ganser and Mark A. Girolami and Igor Golovko and Wilfried Gwinner and Marion Haubitz and Stefan Herget‐Rosenthal and Joachim Jankowski and Holger Jahn and George Jerums and Bruce A Julian and Markus Kellmann and Volker Kliem and Walter Kolch and Andrzej S. Krolewski and Mario Luppi and Ziad A. Massy and Michael Melter and Christian Neus{\"u}ss and Jan Novak and Karlheinz Peter and Kasper Rossing and Harald Rupprecht and Joost Peter Schanstra and Eric Schiffer and Jens-Uwe Stolzenburg and Lise Tarnow and Dan Theodorescu and Visith Thongboonkerd and Raymond C Vanholder and Eva M. Weissinger and Harald Mischak and Philippe Schmitt‐Kopplin},
  journal={Molecular \& Cellular Proteomics},
  year={2010},
  volume={9},
  pages={2424 - 2437}
}
Because of its availability, ease of collection, and correlation with physiology and pathology, urine is an attractive source for clinical proteomics/peptidomics. However, the lack of comparable data sets from large cohorts has greatly hindered the development of clinical proteomics. Here, we report the establishment of a reproducible, high resolution method for peptidome analysis of naturally occurring human urinary peptides and proteins, ranging from 800 to 17,000 Da, using samples from 3,600… 

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