Literature DB >> 19644370

Deconvoluting the 'omics' for organ transplantation.

Minnie M Sarwal1.   

Abstract

PURPOSE OF REVIEW: The desire for biomarkers for diagnosis and prognosis of diseases has never been greater. With the availability of genome data and an increased availability of proteome data, the discovery of biomarkers has become increasingly feasible. This article reviews some recent applications of the many evolving 'omic technologies to organ transplantation. RECENT
FINDINGS: With the advancement of many high-throughput 'omic techniques such as genomics, metabolomics, antibiomics, peptidomics, and proteomics, efforts have been made to understand potential mechanisms of specific graft injuries and develop novel biomarkers for acute rejection, chronic rejection, and operational tolerance.
SUMMARY: The translation of potential biomarkers from the laboratory bench to the clinical bedside is not an easy task and will require the concerted effort of the immunologists, molecular biologists, transplantation specialists, geneticists, and experts in bioinformatics. Rigorous prospective validation studies will be needed using large sets of independent patient samples. The appropriate and timely exploitation of evolving 'omic technologies will lay the cornerstone for a new age of translational research for organ transplant monitoring.

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Year:  2009        PMID: 19644370      PMCID: PMC2993238          DOI: 10.1097/MOT.0b013e32833068fb

Source DB:  PubMed          Journal:  Curr Opin Organ Transplant        ISSN: 1087-2418            Impact factor:   2.640


  80 in total

Review 1.  Arraying the orchestration of allograft pathology.

Authors:  Elaine S Mansfield; Minnie M Sarwal
Journal:  Am J Transplant       Date:  2004-06       Impact factor: 8.086

2.  Proteomic analysis of ischemia-reperfusion injury upon human liver transplantation reveals the protective role of IQGAP1.

Authors:  Anouk Emadali; Béatrice Muscatelli-Groux; Frédéric Delom; Sarah Jenna; Daniel Boismenu; David B Sacks; Peter P Metrakos; Eric Chevet
Journal:  Mol Cell Proteomics       Date:  2006-04-18       Impact factor: 5.911

3.  Early loss of renal transcripts in kidney allografts: relationship to the development of histologic lesions and alloimmune effector mechanisms.

Authors:  G Einecke; G Broderick; B Sis; P F Halloran
Journal:  Am J Transplant       Date:  2007-05       Impact factor: 8.086

4.  Gene expression analysis in human renal allograft biopsy samples using high-density oligoarray technology.

Authors:  E Akalin; R C Hendrix; R G Polavarapu; T C Pearson; J F Neylan; C P Larsen; F G Lakkis
Journal:  Transplantation       Date:  2001-09-15       Impact factor: 4.939

5.  Proteomic-based discovery and characterization of glycosylated eosinophil-derived neurotoxin and COOH-terminal osteopontin fragments for ovarian cancer in urine.

Authors:  Bin Ye; Steven Skates; Samuel C Mok; Nora K Horick; Helene F Rosenberg; Allison Vitonis; Dale Edwards; Patrick Sluss; Won K Han; Ross S Berkowitz; Daniel W Cramer
Journal:  Clin Cancer Res       Date:  2006-01-15       Impact factor: 12.531

6.  Prediction of urinary protein markers in lupus nephritis.

Authors:  Jim C Oates; Sanju Varghese; Alison M Bland; Timothy P Taylor; Sally E Self; Romesh Stanislaus; Jonas S Almeida; John M Arthur
Journal:  Kidney Int       Date:  2005-12       Impact factor: 10.612

7.  Identifying biological themes within lists of genes with EASE.

Authors:  Douglas A Hosack; Glynn Dennis; Brad T Sherman; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-09-11       Impact factor: 13.583

8.  Predicting the clinical outcome of congenital unilateral ureteropelvic junction obstruction in newborn by urinary proteome analysis.

Authors:  Stephane Decramer; Stefan Wittke; Harald Mischak; Petra Zürbig; Michael Walden; François Bouissou; Jean-Loup Bascands; Joost P Schanstra
Journal:  Nat Med       Date:  2006-03-19       Impact factor: 53.440

Review 9.  [Arterial hypertension in renal transplant recipients].

Authors:  Nikolina Basić-Jukić; Ivana Jurić; Petar Kes; Ljubica Bubić-Filipi; Bruna Brunetta; Josip Pasini
Journal:  Acta Med Croatica       Date:  2007-04

10.  A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.

Authors:  Carmen Lai; Marcel J T Reinders; Laura J van't Veer; Lodewyk F A Wessels
Journal:  BMC Bioinformatics       Date:  2006-05-02       Impact factor: 3.169

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  9 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

Review 2.  Proteomics for rejection diagnosis in renal transplant patients: Where are we now?

Authors:  Wilfried Gwinner; Jochen Metzger; Holger Husi; David Marx
Journal:  World J Transplant       Date:  2016-03-24

3.  Identifying biomarkers as diagnostic tools in kidney transplantation.

Authors:  Valeria R Mas; Thomas F Mueller; Kellie J Archer; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2011-03       Impact factor: 5.225

4.  Proteomic analysis reveals innate immune activity in intestinal transplant dysfunction.

Authors:  Anjuli R Kumar; Xiaoxiao Li; James F Leblanc; Douglas G Farmer; David Elashoff; Jonathan Braun; David Ziring
Journal:  Transplantation       Date:  2011-07-15       Impact factor: 4.939

Review 5.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

6.  A Metabolomics Signature Linked To Liver Fibrosis In The Serum Of Transplanted Hepatitis C Patients.

Authors:  Ainara Cano; Zoe Mariño; Oscar Millet; Ibon Martínez-Arranz; Miquel Navasa; Juan Manuel Falcón-Pérez; Miriam Pérez-Cormenzana; Joan Caballería; Nieves Embade; Xavier Forns; Jaume Bosch; Azucena Castro; José María Mato
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

Review 7.  Recent Progress and Future Direction for the Application of Multiomics Data in Clinical Liver Transplantation.

Authors:  Zhengtao Liu; Jun Xu; Shuping Que; Lei Geng; Lin Zhou; Adil Mardinoglu; Shusen Zheng
Journal:  J Clin Transl Hepatol       Date:  2022-01-04

8.  Lipidomics comparing DCD and DBD liver allografts uncovers lysophospholipids elevated in recipients undergoing early allograft dysfunction.

Authors:  Jin Xu; Ana M Casas-Ferreira; Yun Ma; Arundhuti Sen; Min Kim; Petroula Proitsi; Maltina Shkodra; Maria Tena; Parthi Srinivasan; Nigel Heaton; Wayel Jassem; Cristina Legido-Quigley
Journal:  Sci Rep       Date:  2015-12-04       Impact factor: 4.379

9.  Longitudinal analysis of whole blood transcriptomes to explore molecular signatures associated with acute renal allograft rejection.

Authors:  Heesun Shin; Oliver Günther; Zsuzsanna Hollander; Janet E Wilson-McManus; Raymond T Ng; Robert Balshaw; Paul A Keown; Robert McMaster; Bruce M McManus; Nicole M Isbel; Greg Knoll; Scott J Tebbutt
Journal:  Bioinform Biol Insights       Date:  2014-01-22
  9 in total

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