20.500.12556/DiRROS-19515 Digital PCR method for detection and quantification of specific antimicrobial drug-resistance mutations in human cytomegalovirus 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. digital PCR antimicrobial-drug resistance HCMV polymerase chain reaction viruses protimikrobna rezistenca HCMV verižna reakcija s polimerazo virusi true false true Angleški jezik Slovenski jezik Neznano 2024-07-19 03:42:25 2024-07-22 09:31:32 2024-07-23 03:55:51 0000-00-00 00:00:00 2020 0 0 str. 1-16 [article] 113864 Vol. 281 Jul. 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2020-07-01 577 0166-0934 10.1016/j.jviromet.2020.113864 15879683 RAZ_Bogozalec_Kosir_Alexandra_2020.pdf RAZ_Bogozalec_Kosir_Alexandra_2020.pdf 1 54FD3DB85846B646F8A56CCC86F678DC 7ba7cb0e54282e848329aa6046f999123c9fda64d8801df4581b25ed32fa72dc e434a791-47eb-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27057 https://doi.org/10.1016/j.jviromet.2020.113864 0 f369e7b7-47eb-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27058 Nacionalni inštitut za biologijo 0 0 0