Literature DB >> 18459997

Optimizing protein recovery for urinary proteomics, a tool to monitor renal transplantation.

Tara K Sigdel1, Ken Lau, James Schilling, Minnie Sarwal.   

Abstract

Despite attractiveness of urine for biomarker discovery for systemic and renal diseases, the confounding effect of the high abundance plasma proteins in urine, and a lack of optimization of urine protein recovery methods are bottlenecks for urine proteomics. Three methods were performed and compared for percentage protein yield, yield consistency, ease and cost of analysis: (i) organic solvent precipitation, (ii) dialysis/lyophilization, and (iii) centrifugal filtration. Urine samples were subjected to an immunoaffinity column to deplete high abundance proteins. Difference gel electrophoresis was performed to assess use of depletion strategy for detection of low abundance proteins. Urine from healthy volunteers (n = 10) and kidney transplant recipients with proteinuria (n = 11) were used. Centrifugal filtration performed best for analysis ease and yield consistency. Highest percentage yield was obtained from dialysis/lyophilization but was laborious and residual salt interfered with subsequent gel electrophoresis. Organic solvent precipitation was inexpensive, but suffered from varying yield consistency. Increased spot intensity for some low abundance and previously undetected proteins were noted after depletion of high abundance proteins. In conclusion, we compare the pros and cons of different protein recovery methods and reveal an increase in the dynamic range of protein detection after depletional strategy that could be critical for biomarker discovery, particularly with reference to processing human study samples from clinical trials.

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Year:  2008        PMID: 18459997     DOI: 10.1111/j.1399-0012.2008.00833.x

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  15 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

Review 2.  The application of mass-spectrometry-based protein biomarker discovery to theragnostics.

Authors:  Jonathan M Street; James W Dear
Journal:  Br J Clin Pharmacol       Date:  2010-04       Impact factor: 4.335

3.  Optimizing a proteomics platform for urine biomarker discovery.

Authors:  Maryam Afkarian; Manoj Bhasin; Simon T Dillon; Manuel C Guerrero; Robert G Nelson; William C Knowler; Ravi Thadhani; Towia A Libermann
Journal:  Mol Cell Proteomics       Date:  2010-05-28       Impact factor: 5.911

4.  Mining the human urine proteome for monitoring renal transplant injury.

Authors:  Tara K Sigdel; Yuqian Gao; Jintang He; Anyou Wang; Carrie D Nicora; Thomas L Fillmore; Tujin Shi; Bobbie-Jo Webb-Robertson; Richard D Smith; Wei-Jun Qian; Oscar Salvatierra; David G Camp; Minnie M Sarwal
Journal:  Kidney Int       Date:  2016-03-04       Impact factor: 10.612

5.  Evaluation of urinary protein precipitation protocols for the multidisciplinary approach to the study of chronic pelvic pain research network.

Authors:  Karen R Jonscher; Andrea A Osypuk; Adrie van Bokhoven; M Scott Lucia
Journal:  J Biomol Tech       Date:  2014-12

6.  The identification of novel potential injury mechanisms and candidate biomarkers in renal allograft rejection by quantitative proteomics.

Authors:  Tara K Sigdel; Nathan Salomonis; Carrie D Nicora; Soyoung Ryu; Jintang He; Van Dinh; Daniel J Orton; Ronald J Moore; Szu-Chuan Hsieh; Hong Dai; Minh Thien-Vu; Wenzhong Xiao; Richard D Smith; Wei-Jun Qian; David G Camp; Minnie M Sarwal
Journal:  Mol Cell Proteomics       Date:  2013-12-12       Impact factor: 5.911

7.  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

Review 8.  Recent advances in biomarker discovery in solid organ transplant by proteomics.

Authors:  Tara K Sigdel; Minnie M Sarwal
Journal:  Expert Rev Proteomics       Date:  2011-12       Impact factor: 3.940

Review 9.  The proteogenomic path towards biomarker discovery.

Authors:  Tara K Sigdel; Minnie M Sarwal
Journal:  Pediatr Transplant       Date:  2008-08-22

Review 10.  Deconvoluting the 'omics' for organ transplantation.

Authors:  Minnie M Sarwal
Journal:  Curr Opin Organ Transplant       Date:  2009-10       Impact factor: 2.640

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