Dataset: Analyses of heterogeneous renal allograft biopsies reveal conserved rejection signatures and molecular pathways II
Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize...
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, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set here comprises a small validation batch of renal allograft biopsies for clinical indications plus control normal kidney samples from patients at Hôpital Tenon, Paris (second batch) that complements the first batch of 60 samples. We used microarrays to identify different gene expression signatures of renal allograft biopsies that can classify them according to different types of allograft rejection or CAN. Keywords: disease state analysis 4 renal allograft core biopsies for clinical indications with different histopathological diagnoses according to Banff'97 criteria and 2 normal kidney samples.
- Species:
- human
- Samples:
- 6
- Source:
- E-GEOD-9492
- Updated:
- Dec.12, 2014
- Registered:
- Sep.22, 2014
Sample | AGE OF PATIENT | PATIENT IDENTIFIER | BANFF'97 | SERUM CREATININE | RENAL GRAFT BX | BIOSOURCEPROVIDER |
---|---|---|---|---|---|---|
GSM240943 | 42 | 1-ME | CAN I | 177 microMol/L | 1-ME | H??pital Tenon, Paris, France |
GSM240944 | 57 | 3-AO | CAN I | 131 microMol/L | 3-AO | H??pital Tenon, Paris, France |
GSM240945 | 35 | 4-MS | CAN I | 231 microMol/L | 4-MS | H??pital Tenon, Paris, France |
GSM240946 | not specified | 70-PJ | non-rejecting | 128 microMol/L | 70-PJ | H??pital Tenon, Paris, France |
GSM240947 | not specified | 281004-L7, Control kidney sample from nephrectomy | not specified | not specified | not specified | H??pital Tenon, Paris, France |
GSM240948 | not specified | not specified | not specified | not specified | not specified | AMS Biotechnology, Abingdon, UK |