Literature DB >> 15147418

Arraying the orchestration of allograft pathology.

Elaine S Mansfield1, Minnie M Sarwal.   

Abstract

Microarrays, or gene chips, are exciting investigative tools for analyzing expression changes across thousands of genes in concert in tissues and cells of interest. Despite the relatively recent application of microarrays to transplant research, they hold great promise for unraveling the staging of rejection, stratifying patients towards more individualized treatment regimes, and discovering noninvasive biomarkers for monitoring of intragraft events. Bioinformatics tools are being developed to sift through the large data sets generated as "genomic fingerprints" of the underlying biologic pathways. Gene clustering and class prediction tools allow discovery of diagnostic and prognostic molecular signatures of health and disease. Oligonucleotide-based microarrays also have utility in genotyping polymorphic markers. This report reviews the current literature of microarray use in transplantation research, compares currently available array platforms, and discusses future application of this technology to clinical organ transplantation.

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Year:  2004        PMID: 15147418     DOI: 10.1111/j.1600-6143.2004.00458.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  10 in total

1.  Urinary expression of kidney injury markers in renal transplant recipients.

Authors:  Cheuk-Chun Szeto; Bonnie Ching-Ha Kwan; Ka-Bik Lai; Fernand Mac-Moune Lai; Kai-Ming Chow; Gang Wang; Cathy Choi-Wan Luk; Philip Kam-Tao Li
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-29       Impact factor: 8.237

Review 2.  Molecular pathways involved in loss of graft function in kidney transplant recipients.

Authors:  Valeria R Mas; Kellie J Archer; Mariano Scian; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2010-04       Impact factor: 5.225

Review 3.  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

4.  Distinctive gene expression profiles characterize donor biopsies from HCV-positive kidney donors.

Authors:  Valeria R Mas; Kellie J Archer; Lacey Suh; Mariano Scian; Marc P Posner; Daniel G Maluf
Journal:  Transplantation       Date:  2010-12-15       Impact factor: 4.939

5.  Molecular pathways involved in loss of kidney graft function with tubular atrophy and interstitial fibrosis.

Authors:  Daniel G Maluf; Valeria R Mas; Kellie J Archer; Kenneth Yanek; Eric M Gibney; Anne L King; Adrian Cotterell; Robert A Fisher; Marc P Posner
Journal:  Mol Med       Date:  2008 May-Jun       Impact factor: 6.354

6.  The use of personalized medicine for patient selection for renal transplantation: physicians' views on the clinical and ethical implications.

Authors:  Marianne Dion-Labrie; Marie-Chantal Fortin; Marie-Josée Hébert; Hubert Doucet
Journal:  BMC Med Ethics       Date:  2010-04-09       Impact factor: 2.652

Review 7.  Deconvoluting the 'omics' for organ transplantation.

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

8.  Gene expression profiling in acute allograft rejection: challenging the immunologic constant of rejection hypothesis.

Authors:  Tara L Spivey; Lorenzo Uccellini; Maria Libera Ascierto; Gabriele Zoppoli; Valeria De Giorgi; Lucia Gemma Delogu; Alyson M Engle; Jaime M Thomas; Ena Wang; Francesco M Marincola; Davide Bedognetti
Journal:  J Transl Med       Date:  2011-10-12       Impact factor: 5.531

9.  The hepatic transcriptome in human liver disease.

Authors:  Nicholas A Shackel; Devanshi Seth; Paul S Haber; Mark D Gorrell; Geoffrey W McCaughan
Journal:  Comp Hepatol       Date:  2006-11-07

Review 10.  In praise of arrays.

Authors:  Lihua Ying; Minnie Sarwal
Journal:  Pediatr Nephrol       Date:  2008-06-21       Impact factor: 3.714

  10 in total

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