Literature DB >> 16269039

Transplantation proteomics.

Avram Z Traum1, Asher D Schachter.   

Abstract

The field of proteomics is developing at a rapid pace in the post-genome era. Translational proteomics investigations aim to apply a combination of established methods and new technologies to learn about protein expression profiles predictive of clinical events, therapeutic response, and underlying mechanisms. However, in contrast to genetic studies and in parallel with gene expression studies, the dynamic nature of the proteome in conjunction with the challenges of accounting for post-translational modifications requires the translational proteomics investigator to understand the strengths and limitations of proteomics approaches. In this review, we provide an overview of proteomics approaches and techniques, and proteomics informatics for clinical transplantation investigators. We also review recent publications pertaining to transplantation proteomics, and discuss the implications and utility of urine proteomics for non-invasive investigation of transplant outcomes.

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Year:  2005        PMID: 16269039      PMCID: PMC1343536          DOI: 10.1111/j.1399-3046.2005.00408.x

Source DB:  PubMed          Journal:  Pediatr Transplant        ISSN: 1397-3142


  34 in total

1.  Expression, by functional proteomics, of spontaneous tolerance in rat orthotopic liver transplantation.

Authors:  Tai-Long Pan; Pei-Wen Wang; Chao-Chen Huang; Shigeru Goto; Chao-Long Chen
Journal:  Immunology       Date:  2004-09       Impact factor: 7.397

2.  High-resolution serum proteomic patterns for ovarian cancer detection.

Authors:  K A Baggerly; S R Edmonson; J S Morris; K R Coombes
Journal:  Endocr Relat Cancer       Date:  2004-12       Impact factor: 5.678

3.  Proteomic-based identification of cleaved urinary beta2-microglobulin as a potential marker for acute tubular injury in renal allografts.

Authors:  Stefan Schaub; John A Wilkins; Mihaela Antonovici; Oleg Krokhin; Tracey Weiler; David Rush; Peter Nickerson
Journal:  Am J Transplant       Date:  2005-04       Impact factor: 8.086

4.  Lessons from controversy: ovarian cancer screening and serum proteomics.

Authors:  David F Ransohoff
Journal:  J Natl Cancer Inst       Date:  2005-02-16       Impact factor: 13.506

5.  Importance of communication between producers and consumers of publicly available experimental data.

Authors:  Lance A Liotta; Mark Lowenthal; Arpita Mehta; Thomas P Conrads; Timothy D Veenstra; David A Fishman; Emanuel F Petricoin
Journal:  J Natl Cancer Inst       Date:  2005-02-16       Impact factor: 13.506

6.  Signal in noise: evaluating reported reproducibility of serum proteomic tests for ovarian cancer.

Authors:  Keith A Baggerly; Jeffrey S Morris; Sarah R Edmonson; Kevin R Coombes
Journal:  J Natl Cancer Inst       Date:  2005-02-16       Impact factor: 13.506

7.  Data base analysis of protein expression patterns during T-cell ontogeny and activation.

Authors:  S M Hanash; J R Strahler; Y Chan; R Kuick; D Teichroew; J V Neel; N Hailat; D R Keim; J Gratiot-Deans; D Ungar
Journal:  Proc Natl Acad Sci U S A       Date:  1993-04-15       Impact factor: 11.205

8.  Finding new components of the target of rapamycin (TOR) signaling network through chemical genetics and proteome chips.

Authors:  Jing Huang; Heng Zhu; Stephen J Haggarty; David R Spring; Heejun Hwang; Fulai Jin; Michael Snyder; Stuart L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-11       Impact factor: 11.205

9.  Bioinformatic analysis of the urine proteome of acute allograft rejection.

Authors:  Edmond O'Riordan; Tatyana N Orlova; Jianfeng Mei J; Khalid Butt; Praveen M Chander; Shafiq Rahman; Muong Mya; Rena Hu; Jahangir Momin; Elizabeth W Eng; Dierk J Hampel; Bertram Hartman; Matthias Kretzler; Veronica Delaney; Michael S Goligorsky
Journal:  J Am Soc Nephrol       Date:  2004-12       Impact factor: 10.121

10.  Surfaced-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) differentiation of serum protein profiles of BRCA-1 and sporadic breast cancer.

Authors:  Stephen Becker; Lisa H Cazares; Patrice Watson; Henry Lynch; O John Semmes; Richard R Drake; Christine Laronga
Journal:  Ann Surg Oncol       Date:  2004-09-20       Impact factor: 5.344

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  4 in total

1.  Characterization of acute renal allograft rejection by proteomic analysis of renal tissue in rat.

Authors:  Gang Chen; Jing-Bin Huang; Jie Mi; Yun-Feng He; Xiao-Hou Wu; Chun-Li Luo; Si-Min Liang; Jia-Bing Li; Ya-Xiong Tang; Jie Li
Journal:  Mol Biol Rep       Date:  2011-05-22       Impact factor: 2.316

Review 2.  Human body fluid proteome analysis.

Authors:  Shen Hu; Joseph A Loo; David T Wong
Journal:  Proteomics       Date:  2006-12       Impact factor: 3.984

3.  Proteomic signatures in plasma during early acute renal allograft rejection.

Authors:  Gabriela V Cohen Freue; Mayu Sasaki; Anna Meredith; Oliver P Günther; Axel Bergman; Mandeep Takhar; Alice Mui; Robert F Balshaw; Raymond T Ng; Nina Opushneva; Zsuzsanna Hollander; Guiyun Li; Christoph H Borchers; Janet Wilson-McManus; Bruce M McManus; Paul A Keown; W Robert McMaster
Journal:  Mol Cell Proteomics       Date:  2010-05-25       Impact factor: 5.911

4.  Characterization of acute renal allograft rejection by human serum proteomic analysis.

Authors:  Ying Gao; Ke Wu; Yi Xu; Hongmin Zhou; Wentao He; Weina Zhang; Lanjun Cai; Xingguang Lin; Zemin Fang; Zhenlong Luo; Hui Guo; Zhonghua Chen
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2009-10-11
  4 in total

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