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[Detection and identification of filamentous fungi causing mycoses using molecular genetic methods]. / Detekce a identifikace puvodcu mykotických infekcí zpusobených vlaknitými houbami pomocí metod molekulární genetiky.
Bejdák, Petr; Lengerová, Martina; Palousová, Dita; Volfová, Pavlína; Kocmanová, Iva; Mayer, Jirí; Rácil, Zdenek.
Afiliación
  • Bejdák P; Center of Molecular Biology and Gene Therapy, Department of Internal Medicine - Hematology and Oncology, University Hospital Brno and Masaryk University, Czech Republic. petr.bejdak@fnbrno.cz
Klin Mikrobiol Infekc Lek ; 18(4): 109-14, 2012 Aug.
Article en Cs | MEDLINE | ID: mdl-23172022
Methods of molecular genetics offer rapid and sensitive detection and identification of fungal pathogens. The currently used methods are based mainly on PCR. With regard to the ubiquitous presence of fungi, it is important to prevent contamination during the whole process, from sampling to laboratory analyses. Molecular genetic methods are not included among the EORTC/MSG criteria used for the diagnosis of invasive fungal diseases since interlaboratory standardization is still missing. Another reason is the use of different target genes for PCR. ITS sequences from rDNA clusters are recommended for DNA barcoding of fungi. The use of DNA sequencing for identification of fungi in clinical samples has certain limitations and interpretation of results could be problematic in some cases. DNA sequences are searched and compared in public databases on the Internet, the best known of them being the GenBank. However, more reliable data for identification of fungi are offered by specialized mycological databases.
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Técnicas de Diagnóstico Molecular / Hongos / Micosis Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: Cs Revista: Klin Mikrobiol Infekc Lek Asunto de la revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Año: 2012 Tipo del documento: Article País de afiliación: República Checa
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Técnicas de Diagnóstico Molecular / Hongos / Micosis Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: Cs Revista: Klin Mikrobiol Infekc Lek Asunto de la revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Año: 2012 Tipo del documento: Article País de afiliación: República Checa