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A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Detection of apolipoprotein E genotypes by capillary electrophoresis
1Department of Pathology, National University of Singapore, Kent Ridge, Singapore 119260, Singapore; Department of Laboratory Medicine, National University Hospital, Singapore 119074, Singapore.
Abstract:
The apolipoprotein E (apo-E) genotype of an individual is of significant relevance in the associated risk of developing cardiovascular disease and late-onset Alzheimer's disease. Detection of the six common apo-E genotypes is based on the restriction fragment length polymorphisms (RFLPs) arising from the abolition or creation of HhaI restriction sites within an amplified target DNA sequence of the apo-E gene. Genomic DNA was extracted from leukocytes, a 230 bp target sequence within the apo-E gene was amplified by polymerase chain reaction (PCR) and digested with HhaI, and the restricted DNA fragments separated by capillary electrophoresis (CE). This was performed on the BioFocustrade mark 3000 automated CE system equipped with an experimental laser-induced fluorescence (LIF) detector (Bio-Rad Laboratories, Hercules, CA), using capillaries (27 cm length, 75 mum i.d.) coated internally with polyaminoacryloylethoxyethanol. The analysis buffer (2xTris borate-EDTA, pH 8.3) was supplemented with a proprietary sieving polymer and 0.05 muM thiazole orange six. Samples were injected electrophoretically. Separations were carried out at 40 degrees C under constant voltage, and the emitted fluorescence detected at 515 nm. Restriction fragment lengths of the cleaved PCR products were estimated from the migration times, with a 20/100 bp ladder (Bio-Rad Laboratories 20/100 bp molecular ruler) serving as reference. Six different reproducible patterns were obtained for the six common apo-E genotypes, with good resolution of the component restriction fragments. The calculated sizes of the separated peaks closely corresponded with the predicted restricted fragment lengths for each specific genotype. We believe this is the first published report demonstrating the feasibility of automating the post-PCR detection of the apo-E RFLPs(2). This methodology overcomes the most labour-intensive step in apo-E genotyping, thus making it amenable to routine clinical application.
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