Literature DB >> 21520424

Profiling the proteome in renal transplantation.

Tara K Sigdel1, Sangho Lee, Minnie M Sarwal.   

Abstract

Improved monitoring of transplanted solid organs is one of the next crucial steps leading to an increase in both patient and allograft survival. This can be facilitated through one or a set of surrogate biomarker molecules that accurately and precisely indicate the health status of the transplanted organ. Recent developments in the field of high throughput "omic" methods including genomics and proteomics have facilitated robust and comprehensive analysis of genes and proteins. This development has stimulated efforts in the identification of effective and clinically applicable gene and protein biomarkers in solid organ transplantation, including kidney transplantation. Some achievements have been made through proteomics in terms of profiling proteins and identification of potential biomarkers. However, the road to a successful biomarker discovery and its clinical implementation has proved to be challenging, requiring a number of key issues to be addressed. Such issues are: the lack of widely accepted protocols, difficulty in sample processing and transportation and a lack of collaborative efforts to achieve significant sample sizes in clinical studies. In this review using our area of expertise, we describe the current strategies used for proteomic-based biomarker discovery in renal transplantation, discuss inherent issues associated with these efforts and propose better strategies for successful biomarker discovery.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21520424      PMCID: PMC3681534          DOI: 10.1002/prca.201000117

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  85 in total

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Authors:  Ruedi Aebersold
Journal:  J Am Soc Mass Spectrom       Date:  2003-07       Impact factor: 3.109

2.  Identification and proteomic profiling of exosomes in human urine.

Authors:  Trairak Pisitkun; Rong-Fong Shen; Mark A Knepper
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-23       Impact factor: 11.205

3.  Proteomic profiling of renal allograft rejection in serum using magnetic bead-based sample fractionation and MALDI-TOF MS.

Authors:  Weiguo Sui; Liling Huang; Yong Dai; Jiejing Chen; Qiang Yan; He Huang
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4.  Systematic evaluation of sample preparation methods for gel-based human urinary proteomics: quantity, quality, and variability.

Authors:  Visith Thongboonkerd; Somchai Chutipongtanate; Rattiyaporn Kanlaya
Journal:  J Proteome Res       Date:  2006-01       Impact factor: 4.466

Review 5.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

6.  Integrative urinary peptidomics in renal transplantation identifies biomarkers for acute rejection.

Authors:  Xuefeng B Ling; Tara K Sigdel; Kenneth Lau; Lihua Ying; Irwin Lau; James Schilling; Minnie M Sarwal
Journal:  J Am Soc Nephrol       Date:  2010-02-11       Impact factor: 10.121

7.  High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi.

Authors:  Kathryn E Holt; Julian Parkhill; Camila J Mazzoni; Philippe Roumagnac; François-Xavier Weill; Ian Goodhead; Richard Rance; Stephen Baker; Duncan J Maskell; John Wain; Christiane Dolecek; Mark Achtman; Gordon Dougan
Journal:  Nat Genet       Date:  2008-07-27       Impact factor: 38.330

8.  The incidence and impact of early rejection episodes on graft outcome in recipients of first cadaver kidney transplants.

Authors:  A C Gulanikar; A S MacDonald; U Sungurtekin; P Belitsky
Journal:  Transplantation       Date:  1992-02       Impact factor: 4.939

Review 9.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

Review 10.  Mass spectrometry-based label-free quantitative proteomics.

Authors:  Wenhong Zhu; Jeffrey W Smith; Chun-Ming Huang
Journal:  J Biomed Biotechnol       Date:  2009-11-10
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  7 in total

1.  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

2.  Doxycycline Alters the Porcine Renal Proteome and Degradome during Hypothermic Machine Perfusion.

Authors:  Leonie van Leeuwen; Leonie H Venema; Raphael Heilig; Henri G D Leuvenink; Benedikt M Kessler
Journal:  Curr Issues Mol Biol       Date:  2022-01-23       Impact factor: 2.976

3.  Discovery and customized validation of antibody targets by protein arrays and indirect ELISA.

Authors:  Tara K Sigdel; Minnie M Sarwal
Journal:  Methods Mol Biol       Date:  2013

Review 4.  Biomarkers in Transplantation--Proteomics and Metabolomics.

Authors:  Uwe Christians; Jelena Klawitter; Jost Klawitter
Journal:  Ther Drug Monit       Date:  2016-04       Impact factor: 3.681

5.  Optimization for peptide sample preparation for urine peptidomics.

Authors:  Tara K Sigdel; Carrie D Nicora; Szu-Chuan Hsieh; Hong Dai; Wei-Jun Qian; David G Camp; Minnie M Sarwal
Journal:  Clin Proteomics       Date:  2014-02-25       Impact factor: 3.988

6.  A Novel Multi-Biomarker Assay for Non-Invasive Quantitative Monitoring of Kidney Injury.

Authors:  Drew Watson; Joshua Y C Yang; Reuben D Sarwal; Tara K Sigdel; Juliane M Liberto; Izabella Damm; Victoria Louie; Shristi Sigdel; Devon Livingstone; Katherine Soh; Arjun Chakraborty; Michael Liang; Pei-Chen Lin; Minnie M Sarwal
Journal:  J Clin Med       Date:  2019-04-12       Impact factor: 4.241

7.  Subclinical Changes in Deceased Donor Kidney Proteomes Are Associated With 12-month Allograft Function Posttransplantation-A Preliminary Study.

Authors:  Maria Kaisar; Leon van Dullemen; Philip Charles; Zeeshan M Akhtar; Marie L Thézénas; Honglei Huang; Astrid Klooster; Nicholas A Watkins; Benedikt Kessler; Rutger J Ploeg
Journal:  Transplantation       Date:  2019-02       Impact factor: 4.939

  7 in total

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