Mining Disease Susceptibility Genes through SNP Analyses and Expression Profiling Using MALDI-TOF Mass Spectrometry
| Autor: | Stefan Kammerer, Jonas Ekblom, Paul Oeth, Charles R. Cantor, Dirk van den Boom, Kai Tang, Mikhail F. Denissenko, and Andreas Braun, Christian Jurinke |
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| Rok vydání: | 2004 |
| Předmět: |
Proteomics
DNA Complementary Proteome Transcription Genetic Single-nucleotide polymorphism Computational biology Biology Mass spectrometry Polymerase Chain Reaction Polymorphism Single Nucleotide Biochemistry Gene expression Humans SNP Genetic Predisposition to Disease Allele Gene Alleles Genome Dose-Response Relationship Drug General Chemistry Molecular biology Gene expression profiling Pharmacogenetics Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Chemokines |
| Zdroj: | Journal of Proteome Research. 3:218-227 |
| ISSN: | 1535-3907 1535-3893 |
| DOI: | 10.1021/pr034080s |
| Popis: | To find genes that underlie disease susceptibilities, genome-wide single nucleotide polymorphisms (SNPs) have been analyzed using high-throughput matrix assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS). As a proof-of-concept for this approach, gene regions have been identified that were previously associated by others with certain diseases or traits. On the same technology platform, accurate and absolute transcriptional profiling can be performed and applied to allele expression analysis. Here, we provide a brief review of the technology and its applications to disease gene discovery. Keywords: single nucleotide polymorphism • gene expression • differential allele expression • pharmacogenomics • MALDI • mass spectrometry |
| Databáze: | OpenAIRE |
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