Linked Life Data

20053863

Source:http://linkedlifedata.com/resource/pubmed/id/20053863

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2010-2-26
pubmed:abstractText
Definitive identification of Brucella species remains a challenge due to the high degree of genetic homology shared within the genus. We report the development of a molecular technique which utilizes real-time PCR followed by high-resolution melt (HRM) curve analysis to reliably type members of this genus. Using a panel of seven primer sets, we tested 153 Brucella spp. isolates with >99% accuracy compared to traditional techniques. This assay provides a useful diagnostic tool that can rapidly type Brucella isolates and has the potential to detect novel species. This approach may also prove helpful for clinical, epidemiological and veterinary investigations.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1098-660X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
48
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
697-702
pubmed:dateRevised
2010-9-2
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Rapid identification and discrimination of Brucella isolates by use of real-time PCR and high-resolution melt analysis.
pubmed:affiliation
National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA. jwinchell@cdc.gov
pubmed:publicationType
Journal Article, Evaluation Studies