Transcription profiling of human renal allograft biopsies reveal conserved rejection signatures and molecular pathways I

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 “molecular Banff” 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 clinical indications,

ORGANISM(S): Homo sapiens

SUBMITTER: Friedrich Raulf 

PROVIDER: E-GEOD-9489 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress