Literature DB >> 16335936

Exploring the hidden human urinary proteome via ligand library beads.

Annalisa Castagna1, Daniela Cecconi, Lau Sennels, Juri Rappsilber, Luc Guerrier, Frederic Fortis, Egisto Boschetti, Lee Lomas, Pier Giorgio Righetti.   

Abstract

The human urinary proteome has been reassessed and re-evaluated via a novel concentration/equalization technique, exploiting beads coated with hexameric peptide ligand libraries. These beads act by capturing the whole protein spectra contained in the sample, by drastically reducing the level of the most abundant species, while strongly concentrating the more dilute and rare ones. In a control urine sample, 134 unique proteins could be identified. The first bead eluate (in thiourea, urea, and CHAPS) permitted the identification of 317 gene products, whereas the second eluate (in 9 M urea, pH 3.8) allowed the identification of another 95 unique proteins. By eliminating redundancies, a total of 383 unique gene products could be identified in human urines. This represents a major increment as compared to data reported in recent literature. By comparing our data with those reported to the present, an additional 251 proteins could be added to the list, thus bringing the total unique gene products so far identified in human urines to ca. 800 species.

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Year:  2005        PMID: 16335936     DOI: 10.1021/pr050153r

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  47 in total

1.  One-step sample concentration, purification, and albumin depletion method for urinary proteomics.

Authors:  Ali R Vaezzadeh; Andrew C Briscoe; Hanno Steen; Richard S Lee
Journal:  J Proteome Res       Date:  2010-10-15       Impact factor: 4.466

2.  Depletion of hemoglobin and carbonic anhydrase from erythrocyte cytosolic samples by preparative clear native electrophoresis.

Authors:  Gian Maria D'Amici; Sara Rinalducci; Lello Zolla
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3.  A method for isolation and identification of urinary biomarkers in patients with diabetic nephropathy.

Authors:  Wayne G Fisher; Jessica E Lucas; Uzma F Mehdi; Danna W Qunibi; Harold R Garner; Kevin P Rosenblatt; Robert D Toto
Journal:  Proteomics Clin Appl       Date:  2011-12       Impact factor: 3.494

Review 4.  Urine collection and processing for protein biomarker discovery and quantification.

Authors:  C Eric Thomas; Wade Sexton; Kaaron Benson; Rebecca Sutphen; John Koomen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

5.  The human urine mannose 6-phosphate glycoproteome.

Authors:  David E Sleat; Haiyan Zheng; Peter Lobel
Journal:  Biochim Biophys Acta       Date:  2006-12-20

6.  In-depth exploration of cerebrospinal fluid by combining peptide ligand library treatment and label-free protein quantification.

Authors:  Emmanuelle Mouton-Barbosa; Florence Roux-Dalvai; David Bouyssié; François Berger; Eric Schmidt; Pier Giorgio Righetti; Luc Guerrier; Egisto Boschetti; Odile Burlet-Schiltz; Bernard Monsarrat; Anne Gonzalez de Peredo
Journal:  Mol Cell Proteomics       Date:  2010-01-21       Impact factor: 5.911

Review 7.  Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  J Biomed Biotechnol       Date:  2009-12-06

8.  Proteomics for cancer drug design.

Authors:  Amanda Haymond; Justin B Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2019-08-04       Impact factor: 3.940

9.  Optimizing sample handling for urinary proteomics.

Authors:  Richard S Lee; Flavio Monigatti; Andrew C Briscoe; Zachary Waldon; Michael R Freeman; Hanno Steen
Journal:  J Proteome Res       Date:  2008-07-29       Impact factor: 4.466

10.  An attempt to understand kidney's protein handling function by comparing plasma and urine proteomes.

Authors:  Lulu Jia; Ling Zhang; Chen Shao; Eli Song; Wei Sun; Mingxi Li; Youhe Gao
Journal:  PLoS One       Date:  2009-04-20       Impact factor: 3.240

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