7 research outputs found

    A novel procedure for efficient genotyping of single nucleotide polymorphisms

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    Due to the surge in interest in using single nucleotide polymorphisms (SNPs) for genotyping a facile and affordable method for this is an absolute necessity. Here we introduce a procedure that combines an easily automatable single tube sample preparation with an efficient high throughput mass spectrometric analysis technique. Known point mutations or single nucleotide polymorphisms are easily analysed by this procedure. It starts with PCR amplification of a short stretch of genomic DNA, for example an exon of a gene containing a SNP. By shrimp alkaline phosphatase digest residual dNTPs are destroyed. Allele-specific products are generated using a special primer, a conditioned set of α-S-dNTPs and α-S-ddNTPs and a fresh DNA polymerase in a primer extension reaction. Unmodified DNA is removed by 5′-phosphodiesterase digestion and the modified products are alkylated to increase the detection sensitivity in the mass spectrometric analysis. All steps of the preparation are simple additions of solutions and incubations. The procedure operates at the lowest practical sample volumes and in contrast to other genotyping protocols with mass spectrometric detection requires no purification. This reduces the cost and makes it easy to implement. Here it is demonstrated in a version using positive ion detection on described mutations in exon 17 of the amyloid precursor protein gene and in a version using negative ion detection on three SNPs of the granulocyte-macrophage colony stimulating factor gene. Preparation and analysis of SNPs is shown separately and simultaneously, thus demonstrating the multiplexibility of this genotyping procedure. The preparation protocol for genotyping is adapted to the conditions used for the SNP discovery method by denaturing HPLC, thus demonstrating a facile link between protocols for SNP discovery and SNP genotyping. Results corresponded unanimously with the control sequencing. The procedure is useful for high throughput genotyping as it is required for gene identification and pharmacogenomics where large numbers of DNA samples have to be analysed. We have named this procedure the ‘GOOD Assay’ for SNP analysis

    Novel alpha interferon (IFN-alpha) variant with improved inhibitory activity against hepatitis C virus genotype 1 replication compared to IFN-alpha2b therapy in a subgenomic replicon system.: Novel interferon-alpha variant with improved inhibitory activity in HCV replicon system

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    Hepatitis C virus (HCV) treatment is based on the association of pegylated alpha interferon (IFN-alpha) and ribavirin. To improve the level of sustained virological response to treatment, especially in patients infected with HCV genotype 1, new IFNs with improved efficacy and toxicity profiles may be developed. In this report, we show that, in the BM4-5 cell line harboring an HCV subgenomic replicon, a novel and naturally occurring human IFN-alpha17 variant, GEA007.1, which was discovered by using an original population genetics-based drug discovery approach, inhibits HCV genotype 1 RNA replication more efficiently than does IFN-alpha2b. Moreover, we show that complete viral clearance is obtained in BM4-5 cells after long-term treatment with GEA007.1, while HCV subgenomic RNA is still detected in cells treated with other IFN-alpha variants or with standard IFN-alpha2b. Eventually, we demonstrate that the better inhibitory activity of GEA007.1 compared to that of standard IFN-alpha is likely to be due to stronger and faster activation of the JAK-STAT signaling pathway and to broader expression of IFN-alpha-responsive genes in cells. Our results demonstrate a superior inhibitory activity of GEA007.1 over that of IFN-alpha2b in the HCV replicon system. Clinical trials are required to determine whether GEA007.1 could be a potent "next generation" IFN for the treatment of HCV infection, especially in nonresponders or relapsing patients infected with HCV genotype 1 who currently represent a clinical unmet need
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