Detailed Information on Publication Record
2017
Contribution of PCR Denaturing Gradient Gel Electrophoresis Combined with Mixed Chromatogram Software Separation for Complex Urinary Sample Analysis
KOTÁSKOVÁ, Iva, Barbora MALIŠOVÁ, Hana OBRUČOVÁ, Veronika HOLÁ, Tereza PEROUTKOVÁ et. al.Basic information
Original name
Contribution of PCR Denaturing Gradient Gel Electrophoresis Combined with Mixed Chromatogram Software Separation for Complex Urinary Sample Analysis
Authors
KOTÁSKOVÁ, Iva (203 Czech Republic, belonging to the institution), Barbora MALIŠOVÁ (203 Czech Republic, belonging to the institution), Hana OBRUČOVÁ (203 Czech Republic, belonging to the institution), Veronika HOLÁ (203 Czech Republic, belonging to the institution), Tereza PEROUTKOVÁ (203 Czech Republic, belonging to the institution), Filip RŮŽIČKA (203 Czech Republic, belonging to the institution) and Tomáš FREIBERGER (203 Czech Republic, guarantor, belonging to the institution)
Edition
Journal of Molecular Microbiology and Biotechnology, Basel, Karger, 2017, 1464-1801
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10606 Microbiology
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 1.462
RIV identification code
RIV/00216224:14110/17:00095700
Organization unit
Faculty of Medicine
UT WoS
000426010400003
Keywords in English
Catheter; Complex sample; Mixed chromatogram; PCR denaturing gradient gel electrophoresis; RipSeq Mixed
Tags
Tags
International impact, Reviewed
Změněno: 20/3/2018 19:07, Soňa Böhmová
Abstract
V originále
Complex samples are a challenge for sequencing-based broad-range diagnostics. We analysed 19 urinary catheter, ureteral Double-J catheter, and urine samples using 3 methodological approaches. Out of the total 84 operational taxonomic units, 37, 61, and 88% were identified by culture, PCR-DGGE-SS (PCR denaturing gradient gel electrophoresis followed by Sanger sequencing), and PCR-DGGE-RM (PCR- DGGE combined with software chromatogram separation by RipSeq Mixed tool), respectively. The latter approach was shown to be an efficient tool to complement culture in complex sample assessment.
Links
MUNI/A/1183/2015, interní kód MU |
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NT13242, research and development project |
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NV16-31593A, research and development project |
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