Literature DB >> 22286809

The potential of high resolution melting analysis (hrma) to streamline, facilitate and enrich routine diagnostics in medical microbiology.

Lenka Ruskova1, Vladislav Raclavsky.   

Abstract

BACKGROUND: Routine medical microbiology diagnostics relies on conventional cultivation followed by phenotypic techniques for identification of pathogenic bacteria and fungi. This is not only due to tradition and economy but also because it provides pure culture needed for antibiotic susceptibility testing. This review focuses on the potential of High Resolution Melting Analysis (HRMA) of double-stranded DNA for future routine medical microbiology. METHODS AND
RESULTS: Search of MEDLINE database for publications showing the advantages of HRMA in routine medical microbiology for identification, strain typing and further characterization of pathogenic bacteria and fungi in particular. The results show increasing numbers of newly-developed and more tailor-made assays in this field. For microbiologists unfamiliar with technical aspects of HRMA, we also provide insight into the technique from the perspective of microbial characterization.
CONCLUSIONS: We can anticipate that the routine availability of HRMA in medical microbiology laboratories will provide a strong stimulus to this field. This is already envisioned by the growing number of medical microbiology applications published recently. The speed, power, convenience and cost effectiveness of this technology virtually predestine that it will advance genetic characterization of microbes and streamline, facilitate and enrich diagnostics in routine medical microbiology without interfering with the proven advantages of conventional cultivation.

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Substances:

Year:  2011        PMID: 22286809     DOI: 10.5507/bp.2011.045

Source DB:  PubMed          Journal:  Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub        ISSN: 1213-8118            Impact factor:   1.245


  7 in total

1.  Usefulness of PCR-HRMA in identification of non-fermentative Gram-negative rods recovered from patients suffering from cystic fibrosis or chronic obstructive pulmonary disease.

Authors:  Lucie Navrátilová; Dana Safářová; Vladislav Raclavský
Journal:  Folia Microbiol (Praha)       Date:  2013-06-13       Impact factor: 2.099

2.  Rapid detection and identification of nontuberculous mycobacterial pathogens in fish by using high-resolution melting analysis.

Authors:  Thu Nguyet Phung; Domenico Caruso; Sylvain Godreuil; Nicolas Keck; Tatiana Vallaeys; Jean-Christophe Avarre
Journal:  Appl Environ Microbiol       Date:  2013-10-11       Impact factor: 4.792

3.  Usefulness of McRAPD for typing and importance of biofilm production in a case of nosocomial ventriculoperitoneal shunt infection caused by Candida lusitaniae.

Authors:  Petr Hamal; Juraj Hanzen; Frantisek Horn; Jitka Trtkova; Lenka Ruskova; Renata Vecerova; Filip Ruzicka; Anna Vollekova; Vladislav Raclavsky
Journal:  Folia Microbiol (Praha)       Date:  2011-09-06       Impact factor: 2.099

4.  MeltingPlot, a user-friendly online tool for epidemiological investigation using High Resolution Melting data.

Authors:  Matteo Perini; Gherard Batisti Biffignandi; Domenico Di Carlo; Ajay Ratan Pasala; Aurora Piazza; Simona Panelli; Gian Vincenzo Zuccotti; Francesco Comandatore
Journal:  BMC Bioinformatics       Date:  2021-02-18       Impact factor: 3.169

5.  High Resolution Melting Curve Analysis for Rapid Detection of Streptomycin and Ethambutol Resistance in Mycobacterium tuberculosis.

Authors:  Faranak Rezaei; Mehri Haeili; Abbasali Imani Fooladi; Mohammad Mehdi Feizabadi
Journal:  Maedica (Bucur)       Date:  2017-12

6.  Rapid detection of human torque teno viruses using high-resolution melting analysis.

Authors:  S Spandole; D Cimponeriu; M Toma; I Radu; D A Ion
Journal:  Balkan J Med Genet       Date:  2013-06       Impact factor: 0.519

7.  Detection of genetic variation using dual-labeled peptide nucleic acid (PNA) probe-based melting point analysis.

Authors:  Deokhwe Hur; Myoung Sug Kim; Minsik Song; Jinwook Jung; Heekyung Park
Journal:  Biol Proced Online       Date:  2015-11-04       Impact factor: 3.244

  7 in total

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