TY - JOUR
T1 - In vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses
AU - Gramajo, Marcos Ezequiel
AU - Lake, Ryan J.
AU - Lu, Yi
AU - Peinetti, Ana Sol
N1 - We wish to thank Ms. Laura M. Cooper and Dr. Lijun Rong from the University of Illinois at Chicago for providing the pseudovirus samples used in this protocol (SARS-CoV-2, SARS-CoV-1, H5N1), as well as Dr. Alvaro Hernandez and Dr. Chris Wright of the DNA Services facility of the Roy J. Carver Biotechnology Center at the University of Illinois at Urbana-Champaign for their assistance with high-throughput sequencing, and many members of the Lu group who have helped us with in vitro selection and aptamer characterization techniques. This work was supported by a RAPID grant from the National Science Foundation (CBET 20-29215) and a seed grant from the Institute for Sustainability, Energy, and Environment at the University of Illinois at Urbana-Champaign and Illinois-JITRI Institute (JITRI 23965). A.S.P. thanks the PEW Latin American Fellowship for financial support. We also thank the Robert A. Welch Foundation (Grant F-0020) for support of the Lu group research program at the University of Texas at Austin.
PY - 2022/9
Y1 - 2022/9
N2 - 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.
AB - 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.
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U2 - 10.3791/64127
DO - 10.3791/64127
M3 - Article
C2 - 36155618
AN - SCOPUS:85137908637
SN - 1940-087X
VL - 2022
JO - Journal of Visualized Experiments
JF - Journal of Visualized Experiments
IS - 187
M1 - e64127
ER -