Project description:Genome-wide methylation profiling of DNA extracted from the prefrontal cortex of post-mortem MSA patients (n=41) or normal, healthy controls (CTRLs; n=37). The Illumina Infinium MethylationEPIC BeadChip was used, investigating app. 850,000 CpG sites throughout the genome
Project description:Multiple system atrophy (MSA) is a fatal rapidly progressive Ia-synucleinopathy, characterized by prominent Ia-synuclein accumulation in oligodendrocytes. In this study we investigated miRNA expression in the substantia nigra and striatum of MSA transgenic mice (Tg(Plp1-SNCA)1Haa) and wild type controls. This forms part of a larger study in which we investigated miRNA-mRNA regulatory network in substantia nigra and striatum of MSA transgenic mice in pre-motor stage of neurodegenration.
Project description:We developed a novel mice model of multiple system atrophy (MSA)-cerebellar type (MSA-C) by over-expression of human mutant α-synuclein (α-syn) in oligodendrocyte using Tet-off system. We identified distinct microglial subpopulations in a novel MSA-C model mice.
Project description:Global transcriptional analysis of the brain of multiple system atrophy model mice after synuclein induction by tamoxifen. Multiple system atrophy (MSA) is pathologically characterized by accumulation of phosphorylated α-synuclein in the oligodendrocytes. The pathophisiological mechinism under the early staige of disease pregression has been unknown. To clarify molecular alteration just after α-synuclein overexpression in the oligodendrocytes, we performed whole transcriptome analysis of the brain obtained from MSA model mice and control at 10 days after α-synuclein induction.
Project description:Multiple system atrophy (MSA) is a fatal rapidly progressive α-synucleinopathy, characterized by prominent α-synuclein accumulation in oligodendrocytes. In this study we investigated mRNA expression in substantia nigra of MSA transgenic mice (Tg(Plp1-SNCA)1Haa) and wild type controls. This forms part of a larger study in which we investigated miRNA-mRNA regulatory network in substantia nagra and striatum of MSA transgenic mice in pre-motor stage of neurodegenration.
Project description:Multiple system atrophy (MSA) is a fatal rapidly progressive α-synucleinopathy, characterized by prominent α-synuclein accumulation in oligodendrocytes. In this study we used Exiqon microarrays to investigate micro RNA expression in substantia nigra and striatum of MSA transgenic mice (Tg(Plp1-SNCA)1Haa) and wild type controls. This forms part of a larger study in which we investigated miRNA-mRNA regulatory network in substantia nagra and striatum of MSA transgenic mice in pre-motor stage of neurodegenration.
Project description:Multiple system atrophy (MSA) is a rare, neurodegenerative disorder with rapid motor and non-motor symptom progression. MSA is characterized by protein aggregations of α-synuclein found in the cytoplasm of oligodendrocytes. Despite this pathological hallmark, there is still little known about the cause of this disease, resulting in poor treatment options and quality of life post-diagnosis. In this study, we investigated differentially expressed genes via RNA-sequencing of brain samples from a validated PLP-α-synuclein transgenic mouse model, identifying a total of 40 DEGs in the MSA group compared to control, with top detected genes being Gm15446, Mcm6, Aldh7a1 and Gm3435. We observed a significant enrichment of immune pathways and endothelial cell genes among the upregulated genes, whereas downregulated genes were significantly enriched for oligodendrocyte and neuronal genes. We then calculated possible overlap of these DEGs with previously profiled human MSA RNA, resulting in the identification of significant downregulation of the Tsr2 gene. Identifying key gene expression profiles specific to MSA patients is crucial to further understanding the cause, and possible prevention, of this rapidly progressive neurodegenerative disorder.
Project description:Multiple system atrophy (MSA) is a rare adult-onset neurodegenerative disease of unknown cause, with no effective therapeutic options, and no cure. Limited work to date has attempted to characterize the transcriptional changes associated with the disease, which presents as either predominating parkinsonian (MSA-P) or cerebellar (MSC-C) symptoms. We report here the results of RNA expression profiling of cerebellar white matter (CWM) tissue from two independent cohorts of MSA patients (n = 66) and healthy controls (HC; n = 66). RNA samples from bulk brain tissue and from oligodendrocytes obtained by laser capture microdissection (LCM) were sequenced. Differentially expressed genes (DEGs) were obtained and were examined before and after stratifying by MSA clinical sub-type. We detected the highest number of DEGs in the MSA-C group (n = 747) while only one gene was noted in MSA-P, highlighting the larger dysregulation of the transcriptome in the MSA-C CWM. Results from both bulk tissue and LCM analysis showed a downregulation of oligodendrocyte genes and an enrichment for myelination processes with a key role noted for the QKI gene. Additionally, we observed a significant upregulation of neuron-specific gene expression in MSA-C and enrichment for synaptic processes. A third cluster of genes was associated with the upregulation of astrocyte and endothelial genes, two cell types with a key role in inflammation processes. Finally, network analysis in MSA-C showed enrichment for β-amyloid related functional classes, including the known Alzheimer’s disease (AD) genes, APP and PSEN1. This is the largest RNA profiling study ever conducted on post-mortem brain tissue from MSA patients. We were able to define specific gene expression signatures for MSA-C highlighting the different stages of the complex neurodegenerative cascade of the disease that included alterations in several cell-specific transcriptional programs. Finally, several results suggest a common transcriptional dysregulation between MSA and AD-related genes despite the clinical and neuropathological distinctions between the two diseases.
Project description:Multiple system atrophy (MSA) is a rare adult-onset neurodegenerative disease of unknown cause, with no effective therapeutic options, and no cure. Limited work to date has attempted to characterize the transcriptional changes associated with the disease, which presents as either predominating parkinsonian (MSA-P) or cerebellar (MSC-C) symptoms. We report here the results of RNA expression profiling of cerebellar white matter (CWM) tissue from two independent cohorts of MSA patients (n = 66) and healthy controls (HC; n = 66). RNA samples from bulk brain tissue and from oligodendrocytes obtained by laser capture microdissection (LCM) were sequenced. Differentially expressed genes (DEGs) were obtained and were examined before and after stratifying by MSA clinical sub-type. We detected the highest number of DEGs in the MSA-C group (n = 747) while only one gene was noted in MSA-P, highlighting the larger dysregulation of the transcriptome in the MSA-C CWM. Results from both bulk tissue and LCM analysis showed a downregulation of oligodendrocyte genes and an enrichment for myelination processes with a key role noted for the QKI gene. Additionally, we observed a significant upregulation of neuron-specific gene expression in MSA-C and enrichment for synaptic processes. A third cluster of genes was associated with the upregulation of astrocyte and endothelial genes, two cell types with a key role in inflammation processes. Finally, network analysis in MSA-C showed enrichment for β-amyloid related functional classes, including the known Alzheimer’s disease (AD) genes, APP and PSEN1. This is the largest RNA profiling study ever conducted on post-mortem brain tissue from MSA patients. We were able to define specific gene expression signatures for MSA-C highlighting the different stages of the complex neurodegenerative cascade of the disease that included alterations in several cell-specific transcriptional programs. Finally, several results suggest a common transcriptional dysregulation between MSA and AD-related genes despite the clinical and neuropathological distinctions between the two diseases.