Project information
The Development and Application of Fast MLST-based Typing Method for Multi-drug Resistant Bacteria Outbreak Detection

Information

This project doesn't include Institute of Computer Science. It includes Faculty of Medicine. Official project website can be found on muni.cz.

Project Identification

MUNI/IGA/1345/2020

Project Period

1/2021 - 12/2021

Investor / Pogramme / Project type

Masaryk University

Internal grant agency MU

MU Faculty or unit

Faculty of Medicine

RNDr. Kristýna Dufková

DNA sequencing methods are the most accurate procedures for bacterial pathogens typing. However, their routine use in microbiology is limited by cost and time. In this project we will focus on the optimization of non-sequencing methods for the typing of the most serious pathogens of healthcare associated infections from the ESKAPE group. Fast, reliable and more affordable alternative method will help to understand the epidemiological situation in the hospital and to trace the possible outbreak.

Publications

Total number of publications: 3

2022

Sequencing Independent Molecular Typing of Staphylococcus aureus Isolates: Approach for Infection Control and Clonal Characterization

DUFKOVÁ Kristýna BEZDÍČEK Matěj CUPROVA Kristina PANTUCKOVA Dagmar NYKRYNOVA Marketa BRHELOVA Eva KOCMANOVA Iva HODOVA Silvie HANSLIANOVA Marketa JUREN Tomas LIPOVÝ Břetislav MAYER Jiří LENGEROVÁ Martina

Article in Periodical

Microbiology Spectrum, year: 2022, volume: 10, edition: 1, DOI

2021

Molekulární a epidemiologická charakteristika Staphylococcus aureus dominujících v nemocničním prostředí pomocí HRM analýzy.

DUFKOVÁ Kristýna BEZDÍČEK Matěj PLEVOVÁ Kristina PANTŮČKOVÁ Dagmar KOCMANOVÁ Iva MAYER Jiří LENGEROVÁ Martina

Conference abstract

Year: 2021, type: Conference abstract
Sequencing-independent approach for characterisation of Staphylococcus aureus population structure.

DUFKOVÁ Kristýna BEZDÍČEK Matěj STRNADOVÁ Martina NYKRÝNOVÁ Markéta LENGEROVÁ Martina

Conference abstract

Year: 2021, type: Conference abstract