Alexandra Bogožalec Košir (Avtor), Tašja Cvelbar (Avtor), Martin Kammel (Avtor), Hans-Peter Grunert (Avtor), Heinz Zeichhardt (Avtor), Mojca Milavec (Avtor)

Povzetek

Antimicrobial drug resistance is one of the biggest threats to human health worldwide. Timely detection and quantification of infectious agents and their susceptibility to antimicrobial drugs are crucial for efficient management of resistance to antiviral drugs. In clinical settings, viral drug resistance is most often associated with prolonged treatment of chronic infections, and assessed by genotyping methods; e.g., sequencing and PCR. These approaches have limitations: sequencing can be expensive and does not provide quantification; and qPCR quantification is hampered by a lack of reference materials for standard curves. In recent years, digital PCR has been introduced, which provides absolute quantification without the need for reference materials for standard curves. Using digital PCR, we have developed a rapid, sensitive and accurate method for genotyping and quantification of the most prevalent mutations that cause human cytomegalovirus resistance to ganciclovir.

Ključne besede

protimikrobna rezistenca;HCMV;verižna reakcija s polimerazo;virusi;digital PCR;antimicrobial-drug resistance;polymerase chain reaction;viruses;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: NIB - Nacionalni inštitut za biologijo
UDK: 577
COBISS: 15879683 Povezava se bo odprla v novem oknu
ISSN: 0166-0934
Št. ogledov: 21
Št. prenosov: 7
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: protimikrobna rezistenca;HCMV;verižna reakcija s polimerazo;virusi;
Strani: str. 1-16
Letnik: ǂVol. ǂ281
Zvezek: ǂ[article] ǂ113864
Čas izdaje: Jul. 2020
DOI: 10.1016/j.jviromet.2020.113864
ID: 24574208