Evidence map›Paper›PMID 17601344›Full record

ArticleBMC genomics2007

A novel technique for measuring variations in DNA copy-number: competitive genomic polymerase chain reaction.

Kyoko Iwao-Koizumi, Kazunori Maekawa, Yohko Nakamura, Sakae Saito, Shoko Kawamoto, Akira Nakagawara, Kikuya Kato

Abstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Accurate measurement of the relative abundance of different DNA species in complex DNA mixtures.DNA research : an international journal for rapid publication of reports on genes and genomes · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kyoko Iwao-KoizumiResearch Institute, Osaka Medical Center for Cancer and Cardiovascular Diseases, Nakamichi, Higashinari-ku, Osaka, Japan. kyon2_043@yahoo.co.jp <kyon2_043@yahoo.co.jp>
Kazunori Maekawa
Yohko Nakamura
Sakae Saito
Shoko Kawamoto
Akira Nakagawara
Kikuya Kato

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges 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.

resultsWe 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.

conclusionCGP 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.

Indexed as

Gene Expression ProfilingGenes, mycGenome, HumanChromosomes, Human, XCloning, MolecularDNADNA PrimersFemaleGenetic TechniquesGenetic VariationHumansMaleOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionTemplates, GeneticDNADNA Primers

Identifiers

PMID17601344
PMCPMC1920520

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.