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Discrimination and Numerical Analysis of Human Pathogenic Candida Albicans Strains Based on Sds-Page Protein Profiles

dc.authorid Ekin, Suat/0000-0002-6502-5028
dc.authorscopusid 6602615713
dc.authorscopusid 6602257873
dc.authorwosid Ekin, Suat/Aar-2193-2020
dc.contributor.author Berber, Ismet
dc.contributor.author Ekin, Suat
dc.date.accessioned 2025-05-10T17:48:58Z
dc.date.available 2025-05-10T17:48:58Z
dc.date.issued 2008
dc.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
dc.department-temp [Berber, Ismet] Yuzuncu Yil Univ, Fac Arts & Sci, Dept Biol, TR-65080 Van, Turkey; [Ekin, Suat] Yuzuncu Yil Univ, Fac Arts & Sci, Dept Chem, TR-65080 Van, Turkey en_US
dc.description Ekin, Suat/0000-0002-6502-5028 en_US
dc.description.abstract In the present study, 21 Candida albicans strains were investigated using the commercial kit API 20C AUX system and the numerical analysis of whole-cell protein profiles. The results of the commercial kit confirmed that the all the strains belonged to C. albicans species. However, the research indicated that SDS-PAGE of polypeptides of whole-cell extracts can provide more valuable taxonomic information than conventional yeast test kits at the subspecies level. Despite the fact that C. albicans subtypes isolated from different anatomical sites had similar protein profiles, there were some distinctive protein bands. Numerical analysis of whole-cell protein profiles of all strains revealed 2 major clusters at similarity degrees of between 46.26 and 100%. Moreover, the results of numerical analysis confirmed that each cluster had characteristic and distinctive protein profiles. The research showed that, the morphological examination of yeast isolates remains essential to obtaining a correct identification, both the commercial yeast kit system and the numerical analysis of whole-cell protein patterns can be useful for the more reliable identification of C. albicans strains. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.endpage 429 en_US
dc.identifier.issn 1684-5315
dc.identifier.issue 4 en_US
dc.identifier.scopus 2-s2.0-40449127076
dc.identifier.scopusquality N/A
dc.identifier.startpage 425 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14720/17295
dc.identifier.volume 7 en_US
dc.identifier.wos WOS:000254899900017
dc.identifier.wosquality N/A
dc.language.iso en en_US
dc.publisher Academic Journals en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Candida Albicans en_US
dc.subject Numerical Analysis en_US
dc.subject Sds-Page And Whole en_US
dc.subject Cell Protein Patterns en_US
dc.title Discrimination and Numerical Analysis of Human Pathogenic Candida Albicans Strains Based on Sds-Page Protein Profiles en_US
dc.type Article en_US

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