Mice with the two calcium-stmulated adenylyl cyclase isoforms (AC1 and AC8; DKO mice) knocked-out show conditioned fear memory deficits. We assessed gene expression changes at baseline and several time points after conditioned fear learning to assess transcriptional changes at different stages of learning. Transcriptional changes were assessed in the amydgdala and hippocampus of DKO and wild-type mice.
Temporal and regional regulation of gene expression by calcium-stimulated adenylyl cyclase activity during fear memory.
Sex, Specimen part
View SamplesFamilial hypertrophic cardiomyopathy (FHC) is a disease characterized by ventricular hypertrophy, fibrosis, and aberrant systolic and/or diastolic function. Our laboratories have previously developed 2 mouse models that affect cardiac performance. One transgenic mouse model encodes an FHC-associated mutation in -tropomyosin (Tm180) that displays severe cardiac hypertrophy with fibrosis and impaired physiological performance. The other model was a gene knockout of phospholamban (PLB), a regulator of calcium uptake in the sarcoplasmic reticulum of cardiomyocytes; the hearts of these mice exhibit hypercontractility with no pathological abnormalities. Previous work in our laboratories show that the hearts of mice that were genetically crossed between the Tm180 and PLB KO mice rescues the hypertrophic phenotype and improves their cardiac morphology and function.
Microarray analysis of active cardiac remodeling genes in a familial hypertrophic cardiomyopathy mouse model rescued by a phospholamban knockout.
Age, Specimen part
View SamplesMicroarray-based classifiers and prognosis models identify subgroups with distinct clinical outcomes and high risk of AML transformation of myelodysplastic syndrome (MDS)
Microarray-based classifiers and prognosis models identify subgroups with distinct clinical outcomes and high risk of AML transformation of myelodysplastic syndrome.
Disease, Disease stage
View SamplesThis SuperSeries is composed of the subseries listed below.
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sex, Age, Subject
View SamplesSpecific 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 comprises all renal allograft biopsies for clinical indications from patients at Hpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hpital Bictre, Paris, Hpital Pellegrin, Bordeaux, and Hpital Dupuytren, Limoges, plus control normal kidney samples from Hpital Tenon, Paris, France (first batch).
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Subject
View SamplesSpecific 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 comprises all renal allograft biopsies for clinical indications from patients at Hpital Tenon, Paris (February 2003 until September 2004) and few respective patients from Hpital Bictre, Paris, Hpital Pellegrin, Bordeaux, and Hpital Dupuytren, Limoges, plus control normal kidney samples from Hpital Tenon, Paris, France (first batch).
Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.
Sex, Age, Subject
View SamplesConstitutive low level DNA damage is linked to innate immune activation. Hierarchical clustering of over 9000 transcripts revealed remarkably similar profiles in a patient with lupus erythematosus and a patient with AGS with up-regulation of genes involved in DNA damage signaling, p53-inducible genes, senescence-associated genes as well as up-regulation of interferon-stimulated genes. Transcriptional profiling of fibroblasts exposed to oxidative stress showed a marked up-regulation of genes involved in DNA replication/repair and replication licensing in TREX1-deficient cells compared to wild type cells suggesting massive replication stress. Overall design: Comparison of transcriptional profiles of unstressed patient fibroblasts with wild type cells as well as fibroblasts exposed to oxidative stress
RPA and Rad51 constitute a cell intrinsic mechanism to protect the cytosol from self DNA.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.
No sample metadata fields
View SamplesAn International Multi-Center Study to Define the Clinical Utility of MicroarrayBased Gene Expression Profiling in the Diagnosis and Sub-classification of Leukemia (MILE Study)
An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.
Disease
View SamplesAn international standardization program towards the application of gene expression profiling in routine leukaemia diagnostics: The MILE study pre-phase.
An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.
No sample metadata fields
View Samples