Unknown,Transcriptomics,Genomics,Proteomics

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Expression data from human renal allograft biopsies to investigate renal transplant rejection and failure


ABSTRACT: Kidney transplants that develop dysfunction or proteinuria after one year post transplant are at considerable risk for progression to renal failure. Identifying the molecules associated with graft failure could potentially lead to interventions that would slow the progression of organ failure. We analyzed the relationship between gene expression in late biopsies for cause in human kidney transplants and subsequent graft loss, and assessed the predictive value of gene expression. We evaluated the performance of these genes in an independent , and in a population of early biopsies that have a very low risk of subsequent graft failure. All consenting renal transplant patients undergoing biopsies for cause as standard of care between 09/2004 and 10/2007 at the university of Alberta or between 11/2006 and 02/2007 at the University of Illinois were included in the analysis. In addition, biopsies obtained from Minnesota between 09/2006 and 09/2007 were used as an independent . In addition to the cores required for standard histopathology, we collected one core for gene expression studies. the relationship between gene expression in the biopsy and subsequent graft loss was analyzed. This dataset is part of the TransQST collection.

ORGANISM(S): Homo sapiens

SUBMITTER: Jeff Reeve 

PROVIDER: E-GEOD-21374 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A molecular classifier for predicting future graft loss in late kidney transplant biopsies.

Einecke Gunilla G   Reeve Jeff J   Sis Banu B   Mengel Michael M   Hidalgo Luis L   Famulski Konrad S KS   Matas Arthur A   Kasiske Bert B   Kaplan Bruce B   Halloran Philip F PF  

The Journal of clinical investigation 20100524 6


Kidney transplant recipients that develop signs of renal dysfunction or proteinuria one or more years after transplantation are at considerable risk for progression to renal failure. To assess the kidney at this time, a "for-cause" biopsy is performed, but this provides little indication as to which recipients will go on to organ failure. In an attempt to identify molecules that could provide this information, we used microarrays to analyze gene expression in 105 for-cause biopsies taken between  ...[more]

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