
pmid: 15463917
There are numerous methodologies available for the analysis of genomic CFTR DNA. We present here the basic tools to allow a thorough investigation of the CFTR gene, beginning with the identification of potential regulatory regions using DNase I hypersensitive sites, and continuing with methods for the detection of mutations: denaturing High Performance Liquid Chromatography (dHPLC), Single Strand Conformation Polymorphism (SSCP), and allele-specific oligonucleotide (ASO) hybridisation. Also provided is a comprehensive set of PCR primers for the amplification of most regions of the CFTR gene. Full details of the methodologies given are to be found at the European Working Group on CFTR Expression website http://central.igc.gulbenkian.pt/cftr/vr/transcripts.html.
Pulmonary and Respiratory Medicine, Genome, DNA Mutational Analysis, Cystic Fibrosis Transmembrane Conductance Regulator, DNase I, DNA, dHPLC, SSCP, Mutation detection, ASO, Genetic Techniques, Mutation, Humans, Pediatrics, Perinatology, and Child Health, CFTR
Pulmonary and Respiratory Medicine, Genome, DNA Mutational Analysis, Cystic Fibrosis Transmembrane Conductance Regulator, DNase I, DNA, dHPLC, SSCP, Mutation detection, ASO, Genetic Techniques, Mutation, Humans, Pediatrics, Perinatology, and Child Health, CFTR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
