Literature DB >> 16961768

Microarrays: a monitoring tool for transplant patients?

Lauren A Weintraub1, Minnie M Sarwal.   

Abstract

Microarray technology holds a distinct advantage over traditional genomic methods, with the unique capability to rapidly generate multiple global gene expression profiles in parallel. This technology is quickly gaining widespread use in many areas of science and medicine because it can be easily adapted to study many experimental questions, particularly relating to disease heterogeneity. Microarray experiments have begun to advance our understanding of the underlying molecular processes in solid organ transplantation; however, several obstacles must be overcome before this technology is ready for application in the clinical setting. This article will review the current applications of microarray technology in the field of transplantation, and discuss the potential impact of this technology on monitoring of solid organ transplant recipients.

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Year:  2006        PMID: 16961768     DOI: 10.1111/j.1432-2277.2006.00349.x

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  10 in total

Review 1.  Molecular diagnostics in transplantation.

Authors:  Maarten Naesens; Minnie M Sarwal
Journal:  Nat Rev Nephrol       Date:  2010-08-24       Impact factor: 28.314

Review 2.  Genetics of acute rejection after kidney transplantation.

Authors:  Casey R Dorr; William S Oetting; Pamala A Jacobson; Ajay K Israni
Journal:  Transpl Int       Date:  2017-11-08       Impact factor: 3.782

Review 3.  Clinical operational tolerance after renal transplantation: current status and future challenges.

Authors:  Giuseppe Orlando; Peiman Hematti; Robert J Stratta; George W Burke; Pierpaolo Di Cocco; Pierpaolo Di Cocco; Francesco Pisani; Shay Soker; Kathryn Wood
Journal:  Ann Surg       Date:  2010-12       Impact factor: 12.969

Review 4.  The proteogenomic path towards biomarker discovery.

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

Review 5.  Deconvoluting the 'omics' for organ transplantation.

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

6.  Molecular phenotypes of acute rejection predict kidney graft prognosis.

Authors:  Ondrej Viklicky; Petra Hribova; Hans-Dieter Volk; Janka Slatinska; Jan Petrasek; Stepan Bandur; Eva Honsova; Petra Reinke
Journal:  J Am Soc Nephrol       Date:  2009-09-24       Impact factor: 10.121

Review 7.  Noninvasive prediction of organ graft rejection and outcome using gene expression patterns.

Authors:  Dany Anglicheau; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2008-07-27       Impact factor: 4.939

Review 8.  Advances of genomic science and systems biology in renal transplantation: a review.

Authors:  David Perkins; Meenakshi Verma; Ken J Park
Journal:  Semin Immunopathol       Date:  2011-02-14       Impact factor: 9.623

9.  Phenotype and molecular signature of CD8+ T cell subsets in T cell- mediated rejections after kidney transplantation.

Authors:  Eun Jeong Ko; Jung-Woo Seo; Kyoung Woon Kim; Bo-Mi Kim; Jang-Hee Cho; Chan-Duck Kim; Junhee Seok; Chul Woo Yang; Sang-Ho Lee; Byung Ha Chung
Journal:  PLoS One       Date:  2020-06-12       Impact factor: 3.240

Review 10.  Advanced Genomics-Based Approaches for Defining Allograft Rejection With Single Cell Resolution.

Authors:  Tiffany Shi; Krishna Roskin; Brian M Baker; E Steve Woodle; David Hildeman
Journal:  Front Immunol       Date:  2021-10-14       Impact factor: 7.561

  10 in total

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