Rapid Identification of Medically Important Candida Isolates Using High Resolution Melting Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F15%3A00084545" target="_blank" >RIV/00216224:14740/15:00084545 - isvavai.cz</a>
Alternative codes found
RIV/00159816:_____/15:00062585 RIV/00209775:_____/15:#0000326
Result on the web
<a href="http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0116940&representation=PDF" target="_blank" >http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0116940&representation=PDF</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0116940" target="_blank" >10.1371/journal.pone.0116940</a>
Alternative languages
Result language
angličtina
Original language name
Rapid Identification of Medically Important Candida Isolates Using High Resolution Melting Analysis
Original language description
An increasing trend in non albicans infections and various susceptibility patterns to antifungal agents implies a requirement for the quick and reliable identification of a number of medically important Candida species. Real-time PCR followed by high resolution melting analysis (HRMA) was developed, tested on 25 reference Candida collection strains and validated on an additional 143 clinical isolates in this study. All reference strains and clinical isolates inconclusive when using phenotypic methods and/or HRMA were analysed using ITS2 sequencing. Considering reference and clinical strains together, 23 out of 27 Candida species could be clearly distinguished by HRMA, while the remaining 4 species were grouped in 2 pairs, when applying the mean Tm +/-3 SD values, the shape of the derivative melting curve (dMelt curve) and, in some cases, the normalized and temperature-shifted difference plot against C. krusei.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FN - Epidemiology, infection diseases and clinical immunology
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.100%2F02%2F0123" target="_blank" >ED1.100/02/0123: St. Anne´s University Hospital Brno - International Clinical Research Center (FNUSA-ICRC)</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Plos one
ISSN
1932-6203
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
"nestránkováno"
UT code for WoS article
000350322700028
EID of the result in the Scopus database
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