Background: Epigenetic factors including DNA methylation contribute to specific patterns of gene expression. Gene–environment interactions can change the methylation status in the brain, and accumulation of these epigenetic changes over a lifespan may be co-responsible for a neurodegenerative disease like Parkinson’s disease, which that is characterised by a late onset in life. Aims: To determine epigenetic modifications in the brains of Parkinson’s disease patients. Patients and Methods: DNA methylation patterns were compared in the cortex tissue of 14 male PD patients and 10 male healthy individuals using the Illumina Methylation 450 K chip. Subsequently, DNA methylation of candidate genes was evaluated using bisulphite pyrosequencing, and DNA methylation of cytochrome P450 2E1 (CYP2E1) was characterized in DNA from blood mononuclear cells (259 PD patients and 182 healthy controls) and skin fibroblasts (10 PD patients and 5 healthy controls). Protein levels of CYP2E1 were analysed using Western blot in human cortex and knock-out mice brain samples. Results: We found 35 hypomethylated and 22 hypermethylated genes with a methylation M-value difference >0.5. Decreased methylation of cytochrome P450 2E1 (CYP2E1) was associated with increased protein levels in PD brains, but in peripheral tissues, i.e., in blood cells and skin fibroblasts, DNA methylation of CYP2E1 was unchanged. In CYP2E1 knock-out mice brain alpha-synuclein (SNCA) protein levels were down-regulated compared to wild-type mice, whereas treatment with trichloroethylene (TCE) up-regulated CYP2E1 protein in a dose-dependent manner in cultured cells. We further identified an interconnected group of genes associated with oxidative stress, such as Methionine sulfoxide reductase A (MSRA) and tumour protein 73 (TP73) in the brain, which again were not paralleled in other tissues and appeared to indicate brain-specific changes. Conclusions: Our study revealed surprisingly few dysmethylated genes in a brain region less affected in PD. We confirmed hypomethylation of CYP2E1.
Key message We mutated all seven Physcomitrium (Physcomitrella) patens phytochrome genes using highly-efficient CRISPR-Cas9 procedures. We thereby identified phy5a as the phytochrome primarily responsible for inhibiting gravitropism, proving the utility of the mutant library. Abstract The CRISPR-Cas9 system is a powerful tool for genome editing. Here we report highly-efficient multiplex CRISPR-Cas9 editing of the seven-member phytochrome gene family in the model bryophyte Physcomitrium (Physcomitrella) patens. Based on the co-delivery of an improved Cas9 plasmid with multiple sgRNA plasmids and an efficient screening procedure to identify high-order multiple mutants prior to sequencing, we demonstrate successful targeting of all seven PHY genes in a single transfection. We investigated further aspects of the CRISPR methodology in Physcomitrella, including the significance of spacing between paired sgRNA targets and the efficacy of NHEJ and HDR in repairing the chromosome when excising a complete locus. As proof-of-principle, we show that the septuple phy− mutant remains gravitropic in light, in line with expectations, and on the basis of data from lower order multiplex knockouts conclude that phy5a is the principal phytochrome responsible for inhibiting gravitropism in light. We expect, therefore, that this mutant collection will be valuable for further studies of phytochrome function and that the methods we describe will allow similar approaches to revealing specific functions in other gene families.
Multiplications, mutations and dysregulation of the alpha synuclein gene (SNCA) are associated with the demise of dopaminergic neurons and are considered to play important roles in the pathogenesis of familial and sporadic forms of Parkinson’s disease. Regulation of SNCA expression might thus be an appropriate target for treatment. We aimed to identify specific modulators of SNCA transcription, generated CRISPR/Cas9 modified SNCA-GFP-luciferase (LUC) genomic fusion- and control cell lines and screened a library of 1649 bioactive compounds, including the FDA approved drugs. We found no inhibitors but three selective activators which increased SNCA mRNA and protein levels.
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