New real-time PCRs to differentiate rickettsia spp. and Rickettsia conorii

Autor: Kety Randazzo, Rosalia D’Agostino, S. Villari, Elisabetta Giudice, Valeria Blanda, Stefano Vullo, Alessandra Torina, Francesco La Russa

Publikováno v: Molecules
Volume 25
Issue 19
Molecules, Vol 25, Iss 4431, p 4431 (2020)

Rickettsia species are an important cause of emerging infectious diseases in people and animals, and rickettsiosis is one of the oldest known vector-borne diseases. Laboratory diagnosis of Rickettsia is complex and time-consuming. This study was aime

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::546fef5c835d3022e223119fe3950331
http://hdl.handle.net/11570/3192304

Comparison of Amsel criteria, Nugent score, culture and two CE-IVDmarked quantitative real-time PCRs with microbiota analysis for the diagnosis of bacterial vaginosis

Autor: Kim E. Boers, Ronald F. Lamont, Saskia le Cessie, Wim Quint, Anco Molijn, Maurine A. Leverstein-van Hall, Rosalie L. van Sitter, Cornelis W. Knetsch, Ellen H A van den Munckhof, Leen Jan Van Doorn, René te Witt

Publikováno v: European Journal of Clinical Microbiology and Infectious Diseases, 38(5), 959-966
van den Munckhof, E H A, van Sitter, R L, Boers, K E, Lamont, R F, te Witt, R, le Cessie, S, Knetsch, C W, van Doorn, L J, Quint, W G V, Molijn, A & Leverstein-van Hall, M A 2019, ' Comparison of Amsel criteria, Nugent score, culture and two CE-IVD marked quantitative real-time PCRs with microbiota analysis for the diagnosis of bacterial vaginosis ', European Journal of Clinical Microbiology and Infectious Diseases, vol. 38, no. 5, pp. 959–966 . https://doi.org/10.1007/s10096-019-03538-7

Bacterial vaginosis (BV) is a common gynaecological condition. Diagnosis of BV is typically based on Amsel criteria, Nugent score and/or bacterial culture. In this study, these conventional methods and two CE-IVD marked quantitative real-time (q)PCR

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a10c553c54acd797c06c88369bbf3731
https://hdl.handle.net/1887/121157

Application of SYBR Green I and TaqMan probe-based real-time PCRs for the identification of Listeria spp. and Listeria monocytogenes

Autor: Krzysztof Szulowski, Anna Szczawińska, Monika Reksa, Sylwia Budniak, Marek Krupa, Agnieszka Kędrak-Jabłońska

Publikováno v: Bulletin of the Veterinary Institute in Pulawy, Vol 59, Iss 4, Pp 489-494 (2015)

The aim of the study was the application and comparison of real-time PCR methods based on the fluorescence of SYBR Green I intercalating dye and TaqMan probes for the detection of the 23S rDNA gene of Listeria spp. and the hlyA gene of Listeria monoc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4869702db41366fab9edb6a88e31f009
https://doi.org/10.1515/bvip-2015-0073

Moving from Histopathology to Molecular Tools in the Diagnosis of Molluscs Diseases of Concern under EU Legislation

Autor: Antonio Figueras, Raquel Aranguren

Publikováno v: Frontiers in Physiology
Digital.CSIC. Repositorio Institucional del CSIC
instname
Frontiers in Physiology, Vol 7 (2016)

10 páginas, 2 tablas.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e4c8545fd12f097add2a9e23c36968a
https://pubmed.ncbi.nlm.nih.gov/27895595

Event-specific analytical methods for biotech maize MIR 604 and DAS-59122-7

Autor: Seong-Hun Lee, Su-Jeong Kim, Bu-Young Yi

Publikováno v: Journal of the Science of Food and Agriculture. 89:2616-2624

BACKGROUND: It is very important to develop analytical methods for genetically modified organism (GMO) labelling systems and living modified organism (LMO) management. The polymerase chain reaction (PCR) is the most efficient DNA-based analytical met

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c759273550ecb6cf41289b7438faa047
https://doi.org/10.1002/jsfa.3764