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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Iwao-Koizumi, Kyoko Maekawa, Kazunori Nakamura, Yohko Saito, Sakae Kawamoto, Shoko Nakagawara, Akira Kato, Kikuya |
| Abstract | Background Changes in genomic copy number occur in many human diseases including cancer. Characterization of these changes is important for both basic understanding and diagnosis of these diseases. Microarrays have recently become the standard technique and are commercially available. However, it is useful to have an affordable technique to complement them. Results We describe a novel polymerase chain reaction (PCR)-based technique, termed competitive genomic PCR (CGP). The main characteristic of CGP is that different adaptors are added to the sample and control genomic DNAs after appropriate restriction enzyme digestion. These adaptor-supplemented DNAs are subjected to competitive PCR using an adaptor-primer and a locus-specific primer. The amplified products are then separated according to size differences between the adaptors. CGP eliminates the tedious steps inherent in quantitative PCR and achieves moderate throughput. Assays with different X chromosome numbers showed that it can provide accurate quantification. High-resolution analysis of neuroblastoma cell lines around the MYCN locus revealed novel junctions for amplification, which were not detected by a commercial array. Conclusion CGP is a moderate throughput technique for analyzing changes in genomic copy numbers. Because CGP can measure any genomic locus using PCR primers, it is especially useful for detailed analysis of a genomic region of interest. |
| Related Links | https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/1471-2164-8-206.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712164 |
| DOI | 10.1186/1471-2164-8-206 |
| Journal | BMC Genomics |
| Issue Number | 1 |
| Volume Number | 8 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2007-07-02 |
| Access Restriction | Open |
| Subject Keyword | Life Sciences Microarrays Proteomics Animal Genetics and Genomics Microbial Genetics and Genomics Plant Genetics and Genomics Comparative Genomic Hybridization Additional Data File Fluorescence Ratio MYCN Amplification PstI Site |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biotechnology Genetics |
| Journal Impact Factor | 3.5/2023 |
| 5-Year Journal Impact Factor | 4.1/2023 |
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