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Functional protein microarrays for parallel characterisation of p53 mutants.
- Source :
-
Proteomics [Proteomics] 2004 Jul; Vol. 4 (7), pp. 1950-8. - Publication Year :
- 2004
-
Abstract
- Understanding the way in which single nucleotide polymorphisms and mutations in the human genome result in individual susceptibility to disease is a major goal in the postgenomic era. Such knowledge should accelerate the development of personalised medicine in which drug treatment can specifically match an individual's genotype. High-throughput DNA sequencing is generating the initial information required, but new technologies are required that can rapidly characterise the phenotypic effects of the identified polymorphisms. For example, many thousands of allelic variants of the p53 gene have been described and are responsible for more than 50% of cancers, however few of the protein products have been functionally characterised. Here we have quantified in parallel the effects of mutations and polymorphisms on the DNA-binding function of the p53 oncoprotein using a protein microarray, allowing their subclassification according to functional effect. Protein-protein interactions between p53 variants and (i) a regulatory oncoprotein, (ii) a regulatory kinase resulting in on-chip phosphorylation, are also described, suggesting the more general utility of this high-throughput assay format.
- Subjects :
- Alleles
Casein Kinase II chemistry
Cloning, Molecular
DNA chemistry
DNA genetics
DNA Primers chemistry
Fluorescent Dyes pharmacology
Genetic Variation
Genetic Vectors
Genotype
Humans
Kinetics
Nuclear Proteins metabolism
Oligonucleotide Array Sequence Analysis
Phenotype
Phosphorylation
Polymorphism, Genetic
Promoter Regions, Genetic
Protein Binding
Proto-Oncogene Proteins metabolism
Proto-Oncogene Proteins c-mdm2
Sequence Analysis, DNA
Time Factors
Genes, p53
Mutation
Protein Array Analysis methods
Proteomics methods
Tumor Suppressor Protein p53 metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1615-9853
- Volume :
- 4
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Proteomics
- Publication Type :
- Academic Journal
- Accession number :
- 15221755
- Full Text :
- https://doi.org/10.1002/pmic.200300722