Evidence map›Paper›PMID 24573641›Full record

ArticleJournal of applied genetics2014

General assessment of copy number variation in normal and tumor tissues of the domestic dog (Canis lupus familiaris).

Artur Gurgul, Kacper Żukowski, Brygida Ślaska, Ewelina Semik, Klaudia Pawlina, Tomasz Ząbek, Igor Jasielczuk, Monika Bugno-Poniewierska

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of applied genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Artur GurgulLaboratory of Genomics, National Research Institute of Animal Production, Krakowska 1, 32-083, Balice n. Krakow, Poland, artur.gurgul@izoo.krakow.pl.
Kacper Żukowski
Brygida Ślaska
Ewelina Semik
Klaudia Pawlina
Tomasz Ząbek
Igor Jasielczuk
Monika Bugno-Poniewierska
National Research Institute of Animal Production · PLUniversity of Life Sciences in Lublin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, characterization of a copy number variation (CNV) of the genomic DNA has provided evidence for the relationship of this type of genetic variation with the occurrence of a broad spectrum of diseases, including cancer lesions. Copy number variants (CNVs) also occur in the genomes of healthy individuals as a result of abnormal recombination processes in germ cells and have a hereditary character contributing to the natural genetic diversity. Recent image analysis methods and advanced computational techniques allow for identification of CNVs using SNPs genotyping microarrays based on the analysis of signal intensity observed for markers located in the specific genomic regions. In this study we used CanineHD BeadChip assay (Illumina) to identify both natural and cancer-induced CNVs in the genomes of different dog breeds and in different cancer types occurring in this species. The obtained results showed that structural aberrations are a common phenomenon arising during a tumor progression and are more complex and widespread in tumors of mesenchymal tissue origin than in epithelial tissue originating tumors. The tumor derived CNVs, in comparison to healthy samples, were characterized by larger sizes of regions, higher number of amplifications, and in some cases encompassed genes with potential effect on tumor progression.

Indexed as

AnimalsBiomarkers, TumorChromosome MappingDNA Copy Number VariationsDog DiseasesDogsFemaleGenomeGenomicsMaleNeoplasmsPolymorphism, Single NucleotideBiomarkers, Tumor

Identifiers

PMID24573641
OpenAlexW2004864342

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.