|
| Status |
Public on Feb 24, 2009 |
| Title |
Analyses of heterogeneous renal allograft biopsies reveal conserved rejection signatures and molecular pathways II |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
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
|
| |
|
| Overall design |
4 renal allograft core biopsies for clinical indications with different histopathological diagnoses according to Banff'97 criteria and 2 normal kidney samples.
|
| |
|
| Contributor(s) |
Raulf F, Saint-Mezard P, Rondeau E, Marti H |
| Citation missing |
Has this study been published? Please login to update or notify GEO. |
| Submission date |
Nov 01, 2007 |
| Last update date |
Mar 25, 2019 |
| Contact name |
Friedrich Raulf |
| E-mail(s) |
friedrich.raulf@novartis.com
|
| Phone |
+41 61 324 6880
|
| Fax |
+41 61 324 3576
|
| Organization name |
Novartis Pharma AG
|
| Department |
Novartis Institutes for BioMedical Research / ATDA
|
| Lab |
Raulf
|
| Street address |
WSJ-386.6.09
|
| City |
Basel |
| ZIP/Postal code |
4002 |
| Country |
Switzerland |
| |
|
| Platforms (1) |
| GPL570 |
[HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array |
|
| Samples (6)
|
| GSM240943 |
Patient 1-ME, renal graft bx, diagnosis CAN I |
| GSM240944 |
Patient 3-AO, renal graft bx, diagnosis CAN I |
| GSM240945 |
Patient 4-MS, renal graft bx, diagnosis CAN I |
| GSM240946 |
Patient 70-PJ, renal graft bx, diagnosis non-rejecting |
| GSM240947 |
Patient 281004-L7, control kidney from nephrectomy |
| GSM240948 |
Human adult normal kidney control, pool of 5 samples |
|
| This SubSeries is part of SuperSeries: |
| GSE9493 |
Transcriptomic analyses of renal allograft biopsies reveal conserved rejection signatures and molecular pathways |
|
| Relations |
| BioProject |
PRJNA105169 |
Less...
More...