Linked Life Data

18555593

Source:http://linkedlifedata.com/resource/pubmed/id/18555593

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-8-22
pubmed:abstractText
ArrayCGH is commonly used for high-resolution detection of copy-number alterations in tumours, allowing identification of chromosomal aberrations with prognostic or diagnostic relevance. Currently available arrayCGH platforms are still very expensive for analysis of large sets of samples. For this purpose, we have constructed a dedicated mini-array that is enriched for BAC/PAC clones in the prognostic important regions for neuroblastoma and that only covers a small area on the slide, allowing down-scaling of the labelling and hybridisation reagents and hence reducing the price. The mini-arrays were validated on neuroblastoma samples and comparison with high-resolution whole-genome arrayCGH data yielded complete concordant results.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1872-7980
pubmed:author
pubmed:issnType
Electronic
pubmed:day
28
pubmed:volume
269
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
111-6
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Low-cost dedicated mini-arrays for high-throughput analysis of DNA copy-number alterations in neuroblastoma.
pubmed:affiliation
Center for Medical Genetics Ghent, Ghent University Hospital, 2nd Floor, Room 120.038, De Pintelaan 185, MRB2, 9000 Ghent, Belgium. Katleen.depreter@ugent.be
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't