Evidence map›Paper›PMID 16844783›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2006

Mouse genomic representational oligonucleotide microarray analysis: detection of copy number variations in normal and tumor specimens.

B Lakshmi, Ira M Hall, Christopher Egan, Joan Alexander, Anthony Leotta, John Healy, Lars Zender, Mona S Spector, Wen Xue, Scott W Lowe and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

17 citing papers in PubMed.

  1. Stroke · 2025
    Article
  2. Article
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  5. Article
  6. Cooperation between Rb and Arf in suppressing mouse retinoblastoma.The Journal of clinical investigation · 2012
    Article
  7. Article
  8. Bayesian Nonparametric Hidden Markov Models with application to the analysis of copy-number-variation in mammalian genomes.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2011
    Article
  9. High-throughput identification of genetic markers using representational oligonucleotide microarray analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    Article
  10. Article
  11. Allelic genome structural variations in maize detected by array comparative genome hybridization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Identification of alterations in DNA copy number in host stromal cells during tumor progression.Proceedings of the National Academy of Sciences of the United States of America · 2006
    Article
  17. 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

12 authors.

B LakshmiCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Ira M Hall
Christopher Egan
Joan Alexander
Anthony Leotta
John Healy
Lars Zender
Mona S Spector
Wen Xue
Scott W Lowe
Michael Wigler
Robert Lucito

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
GENOMICS OF HUMAN CANCERR01CA078544 · NCI · COLD SPRING HARBOR LABORATORY · PI WIGLER, MICHAEL H · 1998 to 2006
$4.4M
Application of Genomic Microarrays to Breast CancerK01CA093634 · NCI · COLD SPRING HARBOR LABORATORY · PI LUCITO, ROBERT · 2002 to 2006
$683k
NCI NIH HHS 5R01 CA078544-07NCI NIH HHS K01 CA093634NCI NIH HHS K01 CA93634-04NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA078544
6 · The paper itself

Abstract

Genomic amplifications and deletions, the consequence of somatic variation, are a hallmark of human cancer. Such variation has also been observed between "normal" individuals, as well as in individuals with congenital disorders. Thus, copy number measurement is likely to be an important tool for the analysis of genetic variation, genetic disease, and cancer. We developed representational oligonucleotide microarray analysis, a high-resolution comparative genomic hybridization methodology, with this aim in mind, and reported its use in the study of humans. Here we report the development of a representational oligonucleotide microarray analysis microarray for the genomic analysis of the mouse, an important model system for many genetic diseases and cancer. This microarray was designed based on the sequence assembly MM3, and contains approximately 84,000 probes randomly distributed throughout the mouse genome. We demonstrate the use of this array to identify copy number changes in mouse cancers, as well to determine copy number variation between inbred strains of mice. Because restriction endonuclease digestion of genomic DNA is an integral component of our method, differences due to polymorphisms at the restriction enzyme cleavage sites are also observed between strains, and these can be useful to follow the inheritance of loci between crosses of different strains.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsCrosses, GeneticGenomeMiceMice, Inbred BALB CMice, Inbred C57BLNeoplasmsNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisOligonucleotidesPolymorphism, GeneticSpecies SpecificityOligonucleotides

Identifiers

PMID16844783
PMCPMC1544071

What OpenQuestion holds

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Registered trials

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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.