Semiautomated DNA Mutation Analysis Using a Robotic Workstation and Molecular Beacons
Maarten L. Smit, B. Giesendorf, Jacqueline A. M. Vet, Frans J.M. Trijbels, Henk J. Blom
- 发表年份
- 2001
- 引用次数
- 25
- 访问权限
- 开放获取
摘要
BACKGROUND: Our increasing knowledge of the genetic basis of inheritable diseases requires the development of automated reliable methods for high-throughput analyses. METHODS: We investigated the combination of semiautomated DNA extraction from blood using a robotic workstation, followed by automated mutation detection using highly specific fluorescent DNA probes, so-called molecular beacons, which can discriminate between alleles with as little as one single-base mutation. We designed two molecular beacons, one recognizing the wild-type allele and the other the mutant allele, to determine genotypes in a single reaction. To evaluate this procedure, we examined the C677T mutation in the methylenetetrahydrofolate reductase (MTHFR) gene, which is associated with an increased risk for cardiovascular disease and neural tube defects. DNA was isolated from 10 microL of fresh EDTA-blood samples by use of a robotic workstation. The DNA samples were analyzed using molecular beacons as well as conventional methods. RESULTS: Both methods were compared, and no differences were found between outcomes of genotyping. CONCLUSIONS: The described assay enables robust and automated extraction of DNA and analysis of up to 96 samples (10 microL of blood per sample) within 5 h. This is superior to conventional methods and makes it suitable for high-throughput analyses.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992