Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Analyses of heterogeneous renal allograft biopsies reveal conserved rejection signatures and molecular pathways I, partB


ABSTRACT: Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining M-bM-^@M-^\molecular BanffM-bM-^@M-^] signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clini

ORGANISM(S): Homo sapiens

SUBMITTER: Andreas Scherer 

PROVIDER: E-GEOD-17861 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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