Numerical analysis of Candida species from uriner system infections based on SDS-PAGE and detection of antifungal resistance

Basit Öğe Kaydı
dc.authorscopusid35612683100
dc.authorscopusid56351947600
dc.authorscopusid6602797665
dc.authorscopusid56088920000
dc.authorscopusid7005923356
dc.contributor.authorDuran, Nizami
dc.contributor.authorÖztürk, Fatma
dc.contributor.authorAçik, Leyla
dc.contributor.authorAslantaş, Özkan
dc.contributor.authorAslan, Gönül
dc.date.accessioned2024-09-19T15:43:32Z
dc.date.available2024-09-19T15:43:32Z
dc.date.issued2007
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractAim: The aim of the present study was to evaluate the protein patterns and numerical analysis of Candida species isolates from urinARY system infections by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE), and to detect antifungal susceptibility. Methods: In this study, 96 Candida spp. belonging to 46 strains of C.albicans, 18 strains of C. glabrata, 14 strains of C. tropicalis, 8 strains of C. krusei, 6 strains of C. parapsilosis, 3 strains of C. dubliensis and 1 strain of C. kefyr from urine samples or urinary system infections were examined by sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE). The susceptibility of Candida strains against antifungal agents were assessed by minimal inhibitory concentrations (MIC). Results: Nineteen distinct band patterns in the range of 63-120 kDa were obtained. Different isolates of each species were clearly different in each of the seven species. But, some variation in the protein patterns was detected within the same species. Conclusion: The whole-cell protein profiles performed by SDS-PAGE associated with computer-assisted numerical analysis may provide preliminary criteria for taxonomic and epidemiological studies of such microorganisms.en_US
dc.identifier.doi10.29333/ejgm/82501
dc.identifier.endpage106en_US
dc.identifier.issn1304-3889
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-41449086265en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage100en_US
dc.identifier.urihttps://doi.org/10.29333/ejgm/82501
dc.identifier.urihttps://hdl.handle.net/20.500.12483/14398
dc.identifier.volume4en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTIP ARASTIRMALARI DERNEGIen_US
dc.relation.ispartofEuropean Journal of General Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAntifungal resistanceen_US
dc.subjectCandida spp.en_US
dc.subjectNumerical analysisen_US
dc.subjectSDS-PAGEen_US
dc.subjectUriner system infectionen_US
dc.titleNumerical analysis of Candida species from uriner system infections based on SDS-PAGE and detection of antifungal resistanceen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
Tam Metin / Full Text
Boyut:
612.07 KB
Biçim:
Adobe Portable Document Format
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu