Literature DB >> 16807940

Characterization of the human urine proteome by preparative electrophoresis in combination with 2-DE.

Panagiotis G Zerefos1, Konstantinos Vougas, Ploumisti Dimitraki, Sophia Kossida, Andreas Petrolekas, Konstantinos Stravodimos, Aris Giannopoulos, Michael Fountoulakis, Antonia Vlahou.   

Abstract

The protein components of urine are useful indicators of renal function and human health in general. Urine samples are easily attainable making them ideal substrates for biomarker research. Analysis of the urine proteome however, has been hindered by the great variability of the urine specimens, and the presence of various proteins in low abundance or modified forms. To alleviate some of these problems urine samples from five different individuals were pooled, concentrated and the proteome characterized by a combination of preparative electrophoresis and 2-DE, followed by PMF. A total of 778 protein spots corresponding to 141 different gene products were identified. In comparison, 171 spots corresponding to 44 unique proteins were identified in the unfractionated starting material. Among the proteins identified from the preparative electrophoresis were many of low abundance such as proteins involved in signal transduction. Furthermore, the median molecular mass of the identified proteins from the preparative electrophoresis was significantly lower in comparison to the proteins identified from the unfractionated starting material (39 886 Da versus 71 317 Da, respectively). Concluding, application of this methodology provides a coherent analysis of the urine proteome and contributes to the generation of the urine protein map in health and disease.

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Year:  2006        PMID: 16807940     DOI: 10.1002/pmic.200500671

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  15 in total

1.  A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics.

Authors:  Sabine Pérès; Laurence Molina; Nicolas Salvetat; Claude Granier; Franck Molina
Journal:  BMC Bioinformatics       Date:  2008-10-28       Impact factor: 3.169

2.  Comprehensive human urine standards for comparability and standardization in clinical proteome analysis.

Authors:  Harald Mischak; Walter Kolch; Michalis Aivaliotis; David Bouyssié; Magali Court; Hassan Dihazi; Gry H Dihazi; Julia Franke; Jérôme Garin; Anne Gonzalez de Peredo; Alexander Iphöfer; Lothar Jänsch; Chrystelle Lacroix; Manousos Makridakis; Christophe Masselon; Jochen Metzger; Bernard Monsarrat; Michal Mrug; Martin Norling; Jan Novak; Andreas Pich; Andrew Pitt; Erik Bongcam-Rudloff; Justyna Siwy; Hitoshi Suzuki; Visith Thongboonkerd; Li-Shun Wang; Jérôme Zoidakis; Petra Zürbig; Joost P Schanstra; Antonia Vlahou
Journal:  Proteomics Clin Appl       Date:  2010-02-03       Impact factor: 3.494

3.  A comprehensive map of the human urinary proteome.

Authors:  Arivusudar Marimuthu; Robert N O'Meally; Raghothama Chaerkady; Yashwanth Subbannayya; Vishalakshi Nanjappa; Praveen Kumar; Dhanashree S Kelkar; Sneha M Pinto; Rakesh Sharma; Santosh Renuse; Renu Goel; Rita Christopher; Bernard Delanghe; Robert N Cole; H C Harsha; Akhilesh Pandey
Journal:  J Proteome Res       Date:  2011-05-09       Impact factor: 4.466

4.  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

5.  Urinary protein profiles in a rat model for diabetic complications.

Authors:  Daniela M Schlatzer; Jean-Eudes Dazard; Moyez Dharsee; Rob M Ewing; Serguei Ilchenko; Ian Stewart; George Christ; Mark R Chance
Journal:  Mol Cell Proteomics       Date:  2009-06-04       Impact factor: 5.911

6.  Biodistribution and renal clearance of biocompatible lung targeted poly(ethylene glycol) (PEG) nanogel aggregates.

Authors:  Manjeet Deshmukh; Hilliard L Kutscher; Dayuan Gao; Vasanthi R Sunil; Rama Malaviya; Kinal Vayas; Stanley Stein; Jeffrey D Laskin; Debra L Laskin; Patrick J Sinko
Journal:  J Control Release       Date:  2012-10-03       Impact factor: 9.776

7.  A missense mutation in desmin tail domain linked to human dilated cardiomyopathy promotes cleavage of the head domain and abolishes its Z-disc localization.

Authors:  Manolis Mavroidis; Panagiota Panagopoulou; Ioanna Kostavasili; Noah Weisleder; Yassemi Capetanaki
Journal:  FASEB J       Date:  2008-06-06       Impact factor: 5.191

8.  Bladder cancer associated glycoprotein signatures revealed by urinary proteomic profiling.

Authors:  Paweena Kreunin; Jia Zhao; Charles Rosser; Virginia Urquidi; David M Lubman; Steve Goodison
Journal:  J Proteome Res       Date:  2007-05-23       Impact factor: 4.466

9.  Label-free quantitative urinary proteomics identifies the arginase pathway as a new player in congenital obstructive nephropathy.

Authors:  Chrystelle Lacroix; Cécile Caubet; Anne Gonzalez-de-Peredo; Benjamin Breuil; David Bouyssié; Alexandre Stella; Luc Garrigues; Caroline Le Gall; Anthony Raevel; Angelique Massoubre; Julie Klein; Stéphane Decramer; Frédérique Sabourdy; Flavio Bandin; Odile Burlet-Schiltz; Bernard Monsarrat; Joost-Peter Schanstra; Jean-Loup Bascands
Journal:  Mol Cell Proteomics       Date:  2014-09-09       Impact factor: 5.911

Review 10.  Proteomics and systems biology for understanding diabetic nephropathy.

Authors:  Jonathan M Starkey; Ronald G Tilton
Journal:  J Cardiovasc Transl Res       Date:  2012-05-12       Impact factor: 4.132

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