Artículo
In vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses
Fecha de publicación:
09/2022
Editorial:
Journal of Visualized Experiments
Revista:
Journal of Visualized Experiments
ISSN:
1940-087X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Virus infections have a major impact on society; most methods of detection have difficulties in determining whether a detected virus is infectious, causing delays in treatment and further spread of the virus. Developing new sensors that can inform on the infectability of clinical or environmental samples will meet this unmet challenge. However, very few methods can obtain sensing molecules that can recognize an intact infectious virus and differentiate it from the same virus that has been rendered non-infectious by disinfection methods. Here, we describe a protocol to select aptamers that can distinguish infectious viruses vs non-infectious viruses using systematic evolution of ligands by exponential enrichment (SELEX). We take advantage of two features of SELEX. First, SELEX can be tailor-made to remove competing targets, such as non-infectious viruses or other similar viruses, using counter selection. Additionally, the whole virus can be used as the target for SELEX, instead of, for example, a viral surface protein. Whole virus SELEX allows for the selection of aptamers that bind specifically to the native state of the virus, without the need to disrupt of the virus. This method thus allows recognition agents to be obtained based on functional differences in the surface of pathogens, which do not need to be known in advance.
Palabras clave:
in vitro selection
,
infectious virus
,
aptamer
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Articulos(INQUIMAE)
Articulos de INST.D/QUIM FIS D/L MATERIALES MEDIOAMB Y ENERGIA
Articulos de INST.D/QUIM FIS D/L MATERIALES MEDIOAMB Y ENERGIA
Citación
Gramajo, Marcos Ezequiel; Lake, Ryan J.; Lu, Yi; Peinetti, Ana Sol; In vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses; Journal of Visualized Experiments; Journal of Visualized Experiments; 2022; 187; 9-2022; 1-21
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