Literature DB >> 16464162

Towards characterization of the human urinary peptidome.

Michael Jürgens1, Annette Appel, Gabriele Heine, Susanne Neitz, Christoph Menzel, Harald Tammen, Hans-Dieter Zucht.   

Abstract

Biomarker discovery in human urine has become an evolving and potentially valuable topic in relation to renal function and diseases of the urinary tract. In order to deliver on the promises and to facilitate the development of validated biomarkers or biomarker panels, protein and peptide profiling techniques need high sample throughput, speed of analysis, and reproducibility of results. Here, we outline the performance characteristics of the liquid chromatography/MALDI-TOF-MS based differential peptide display (DPD(1)) approach for separating, detecting, abundance profiling and identification of native peptides derived from human urine. The typical complexity of peptides in human urine (resolution of the technique with respect to detectable number of peptides), the reproducibility (coefficient of variation for abundance profiles of all peptides detected in biological samples) and dynamic range of the technique as well as the lower limit of detection were characterized. A substantial number of peptides present in normal human urine were identified and compared to findings in four published proteome studies. In an explorative approach, pathological urines from patients suffering from post-renal-filtration diseases were qualitatively compared to normal urine. In conclusion, the peptidomics technology as shown here has a great potential for high throughput and high resolution urine peptide profiling analyses. It is a promising tool to study not only renal physiology and pathophysiology and to determine new biomarkers of renal diseases; it also has the potential to study remotely localized or systemic aberrations within human biology.

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Year:  2005        PMID: 16464162     DOI: 10.2174/138620705774962364

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  9 in total

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Authors:  Michael L Merchant; Jon B Klein
Journal:  Adv Chronic Kidney Dis       Date:  2010-11       Impact factor: 3.620

2.  Mechanistic peptidomics: factors that dictate specificity in the formation of endogenous peptides in human milk.

Authors:  Andres Guerrero; David C Dallas; Stephanie Contreras; Sabrina Chee; Evan A Parker; Xin Sun; Lauren Dimapasoc; Daniela Barile; J Bruce German; Carlito B Lebrilla
Journal:  Mol Cell Proteomics       Date:  2014-08-29       Impact factor: 5.911

3.  Challenges and opportunities for discovery of disease biomarkers using urine proteomics.

Authors:  Alex Kentsis
Journal:  Pediatr Int       Date:  2011-02       Impact factor: 1.524

Review 4.  Human body fluid proteome analysis.

Authors:  Shen Hu; Joseph A Loo; David T Wong
Journal:  Proteomics       Date:  2006-12       Impact factor: 3.984

5.  CE-MS analysis of the human urinary proteome for biomarker discovery and disease diagnostics.

Authors:  Joshua J Coon; Petra Zürbig; Mohammed Dakna; Anna F Dominiczak; Stéphane Decramer; Danilo Fliser; Moritz Frommberger; Igor Golovko; David M Good; Stefan Herget-Rosenthal; Joachim Jankowski; Bruce A Julian; Markus Kellmann; Walter Kolch; Ziad Massy; Jan Novak; Kasper Rossing; Joost P Schanstra; Eric Schiffer; Dan Theodorescu; Raymond Vanholder; Eva M Weissinger; Harald Mischak; Philippe Schmitt-Kopplin
Journal:  Proteomics Clin Appl       Date:  2008-07-10       Impact factor: 3.494

Review 6.  A proteomic approach to obesity and type 2 diabetes.

Authors:  Elena López-Villar; Gabriel Á Martos-Moreno; Julie A Chowen; Shigeru Okada; John J Kopchick; Jesús Argente
Journal:  J Cell Mol Med       Date:  2015-05-09       Impact factor: 5.310

7.  Comprehensive quantitative analysis of ovarian and breast cancer tumor peptidomes.

Authors:  Zhe Xu; Chaochao Wu; Fang Xie; Gordon W Slysz; Nikola Tolic; Matthew E Monroe; Vladislav A Petyuk; Samuel H Payne; Grant M Fujimoto; Ronald J Moore; Thomas L Fillmore; Athena A Schepmoes; Douglas A Levine; R Reid Townsend; Sherri R Davies; Shunqiang Li; Matthew Ellis; Emily Boja; Robert Rivers; Henry Rodriguez; Karin D Rodland; Tao Liu; Richard D Smith
Journal:  J Proteome Res       Date:  2014-11-10       Impact factor: 4.466

8.  Optimized Glycopeptide Enrichment Method-It Is All About the Sauce.

Authors:  David Morgenstern; Hila Wolf-Levy; Nili Tickotsky-Moskovitz; Itzik Cooper; Aron S Buchman; David A Bennett; Michal Schnaider Beeri; Yishai Levin
Journal:  Anal Chem       Date:  2022-06-28       Impact factor: 8.008

Review 9.  Proteomics and peptidomics: moving toward precision medicine in urological malignancies.

Authors:  Ashley Di Meo; Maria D Pasic; George M Yousef
Journal:  Oncotarget       Date:  2016-08-09
  9 in total

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