Open AccessAptamers for Viral Detection and Inhibition
Author(s) -
Biswanath Chakraborty,
Sreyashi Das,
Arushi Gupta,
Yanyu Xiong,
Vyshnavi T-V,
Megan E. Kizer,
Jinwei Duan,
Arun Richard Chandrasekaran,
Xing Wang
Publication year - 2022
Publication title -
acs infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.324
H-Index - 39
ISSN - 2373-8227
DOI - 10.1021/acsinfecdis.1c00546
Subject(s) - aptamer , systematic evolution of ligands by exponential enrichment , computational biology , biology , virology , selection (genetic algorithm) , virus , computer science , rna , genetics , artificial intelligence , gene
Recent times have experienced more than ever the impact of viral infections in humans. Viral infections are known to cause diseases not only in humans but also in plants and animals. Here, we have compiled the literature review of aptamers selected and used for detection and inhibition of viral infections in all three categories: humans, animals, and plants. This review gives an in-depth introduction to aptamers, different types of aptamer selection (SELEX) methodologies, the benefits of using aptamers over commonly used antibody-based strategies, and the structural and functional mechanism of aptasensors for viral detection and therapy. The review is organized based on the different characterization and read-out tools used to detect virus-aptasensor interactions with a detailed index of existing virus-targeting aptamers. Along with addressing recent developments, we also discuss a way forward with aptamers for DNA nanotechnology-based detection and treatment of viral diseases. Overall, this review will serve as a comprehensive resource for aptamer-based strategies in viral diagnostics and treatment.