Literature DB >> 16281181

Human urine proteome analysis by three separation approaches.

Wei Sun1, Fuxin Li, Shuzhen Wu, Xiaorong Wang, Dexian Zheng, Jue Wang, Youhe Gao.   

Abstract

The urinary proteome is known to be a valuable field of study related to organ functions. There have been several extensive urine proteome studies. However, the overlapping rate among different studies is relatively low. Whether the low overlapping rate was caused by different sample sources, preparation, separation and identification methods is unknown. Moreover, low molecular mass (<10 kDa) proteins have not been studied extensively. In this report, male and female pooled urine samples were collected from healthy volunteers. The urinary proteins were acetone precipitated, separated and identified by three approaches, 1-DE plus 1-D LC/MS/MS, direct 1-D LC/MS/MS and 2-D LC/MS/MS. 1-D tricine gels were used to separate low molecular mass proteins. The tandem mass spectra of positive identifications were quality controlled both by manual validation and using advanced mass spectrum scanner software. A total of 226 urinary proteins were identified; 171 proteins were identified by proteomics approach for the first time, including 4 male-specific proteins. Twelve low molecular mass proteins were identified. Most urinary proteins had a molecular mass between 30 and 60 kDa and a pI between 4 and 10. The apparent molecular masses of many proteins were different from theoretical ones, which indicated their post-translational modification and degradation. The effects of sample preparation, separation and identification methods on the overlapping rate of different experiments are discussed.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16281181     DOI: 10.1002/pmic.200401334

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


  39 in total

1.  Urine proteomics for profiling of human disease using high accuracy mass spectrometry.

Authors:  Alex Kentsis; Flavio Monigatti; Kevin Dorff; Fabien Campagne; Richard Bachur; Hanno Steen
Journal:  Proteomics Clin Appl       Date:  2009-09-01       Impact factor: 3.494

Review 2.  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

3.  The human urine mannose 6-phosphate glycoproteome.

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

4.  A comparison of E15.5 fetus and newborn rat serum proteomes.

Authors:  Lilong Wei; Lulu Jia; Lisi Zhu; Sucan Ma; Dan Zhang; Chen Shao; Wei Sun; Youhe Gao
Journal:  Proteome Sci       Date:  2012-11-07       Impact factor: 2.480

5.  Shotgun proteomics identifies proteins specific for acute renal transplant rejection.

Authors:  Tara K Sigdel; Amit Kaushal; Marina Gritsenko; Angela D Norbeck; Wei-Jun Qian; Wenzhong Xiao; David G Camp; Richard D Smith; Minnie M Sarwal
Journal:  Proteomics Clin Appl       Date:  2010-01       Impact factor: 3.494

6.  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

7.  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

Review 8.  Proteomics and opportunities for clinical translation in urological disease.

Authors:  Ali R Vaezzadeh; Hanno Steen; Michael R Freeman; Richard S Lee
Journal:  J Urol       Date:  2009-07-17       Impact factor: 7.450

Review 9.  Urinary proteomic profiling for diagnostic bladder cancer biomarkers.

Authors:  Steve Goodison; Charles J Rosser; Virginia Urquidi
Journal:  Expert Rev Proteomics       Date:  2009-10       Impact factor: 3.940

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.