ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2007
Rapid identification of pathogenic yeast isolates by real-time PCR and two-dimensional melting-point analysis.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Advances in Chemical and Biological Methods to Identify Microorganisms-From Past to Present.Microorganisms · 2019Review
- Dynamic time warping assessment of high-resolution melt curves provides a robust metric for fungal identification.PloS one · 2017Article
- Rapid identification of medically important Candida isolates using high resolution melting analysis.PloS one · 2015Article
- PCR-based diagnosis of human fungal infections.Expert review of anti-infective therapy · 2009Review
- Sequencing and analysis of fungal rRNA operons for development of broad-range fungal PCR assays.Applied and environmental microbiology · 2009Article
- Colony multiplex-tandem PCR for rapid, accurate identification of fungal cultures.Journal of clinical microbiology · 2008Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a need in the clinical microbiological laboratory for rapid and reliable methods for the universal identification of fungal pathogens. Two different regions of the rDNA gene complex, the highly polymorphic ITS1 and ITS2, were amplified using primers targeting conserved regions of the 18S, 5.8S and 28S genes. After melting-point analysis of the amplified products, the T(m) of the two PCR-products were plotted into a spot diagram where all the 14 tested, clinically relevant yeasts separated with good resolution. Real-time amplification of two separate genes, melting-point analysis and two-dimensional plotting of T(m) data can be used as a broad-range method for the identification of clinical isolates of pathogenic yeast such as Candida and Cryptococcus spp.
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Registered trials
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