Linked Life Data

17471154

Source:http://linkedlifedata.com/resource/pubmed/id/17471154

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-5-1
pubmed:abstractText
In molecular diagnosis of infectious diseases often more than 1 pathogen has to be considered. As a consequence, a series of labor-intensive and time-consuming polymerase chain reaction (PCR) approaches specific for different putative pathogens have to be carried out. To speed up diagnosis, we established a low-density microarray for simultaneous detection of diverse putative pathogens causing a disease such as granulomatous lymphadenitis. Nucleic acids from formalin-fixed, paraffin-embedded tissues of 68 patients with lymphadenitis were used for molecular diagnosis of individual pathogens by either nested single-assay PCR or 1-step multiplex PCR in combination with low-density microarray hybridization. Multiplex PCR amplicons hybridized to glass slides containing probes from Mycobacterium spp., Yersinia spp., Bartonella henselae, Toxoplasma gondii, and other pathogens showed specific and reproducible signals on the array. Our results show that microarray technology combined with multiplex PCR is a promising and time-saving tool in molecular pathology of infectious diseases, allowing sensitive, simultaneous analyses of different pathogens.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1052-9551
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
18-26
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Detection of opportunistic infections by low-density microarrays: a diagnostic approach for granulomatous lymphadenitis.
pubmed:affiliation
Institute for Pathology, University Clinic of Cologne, Cologne, Germany. m.odenthal@uni-koeln.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies