ArticleBMC genomics2007
Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays.
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 11 papers.
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.
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.
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Who cites it
11 citing papers in PubMed.
- Review
- A Density Peak-Based Method to Detect Copy Number Variations From Next-Generation Sequencing Data.Frontiers in genetics · 2020Article
- Article
- Assigning a function to a conserved archaeal metallo-β-lactamase from Haloferax volcanii.Extremophiles : life under extreme conditions · 2012Article
- Functionally enhanced siRNA targeting TNFα attenuates DSS-induced colitis and TLR-mediated immunostimulation in mice.Molecular therapy : the journal of the American Society of Gene Therapy · 2012Article
- Article
- An ets2-driven transcriptional program in tumor-associated macrophages promotes tumor metastasis.Cancer research · 2010Article
- Allelic genome structural variations in maize detected by array comparative genome hybridization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010Article
- Article
- Comparison of comparative genomic hybridization technologies across microarray platforms.Journal of biomolecular techniques : JBT · 2009Article
- DNA copy number analysis in gastrointestinal stromal tumors using gene expression microarrays.Cancer informatics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundArray-based comparative genomic hybridization (aCGH) is a high-throughput method for measuring genome-wide DNA copy number changes. Current aCGH methods have limited resolution, sensitivity and reproducibility. Microarrays for aCGH are available only for a few organisms and combination of aCGH data with expression data is cumbersome.
resultsWe present a novel method of using commercial oligonucleotide expression microarrays for aCGH, enabling DNA copy number measurements and expression profiles to be combined using the same platform. This method yields aCGH data from genomic DNA without complexity reduction at a median resolution of approximately 17,500 base pairs. Due to the well-defined nature of oligonucleotide probes, DNA amplification and deletion can be defined at the level of individual genes and can easily be combined with gene expression data.
conclusionA novel method of gene resolution analysis of copy number variation (graCNV) yields high-resolution maps of DNA copy number changes and is applicable to a broad range of organisms for which commercial oligonucleotide expression microarrays are available. Due to the standardization of oligonucleotide microarrays, graCNV results can reliably be compared between laboratories and can easily be combined with gene expression data using the same platform.
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Registered trials
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.