Computational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate
Abstract Aptamer interactions with a surface of attachment are central to the design and performance of aptamer-based biosensors. We have developed a computational modeling approach to study different system designs—including different aptamer-attachment ends, aptamer surface densities, aptamer orie...
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Nature Portfolio
2021
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oai:doaj.org-article:cdf59dc121e4481ab88b7ff2f44f5cd22021-12-02T14:42:21ZComputational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate10.1038/s41598-021-88796-22045-2322https://doaj.org/article/cdf59dc121e4481ab88b7ff2f44f5cd22021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88796-2https://doaj.org/toc/2045-2322Abstract Aptamer interactions with a surface of attachment are central to the design and performance of aptamer-based biosensors. We have developed a computational modeling approach to study different system designs—including different aptamer-attachment ends, aptamer surface densities, aptamer orientations, and solvent solutions—and applied it to an anti MUC1 aptamer tethered to a silica biosensor substrate. Amongst all the system designs explored, we found that attaching the anti MUC1 aptamer through the 5′ terminal end, in a high surface density configuration, and solvated in a 0.8 M NaCl solution provided the best exposure of the aptamer MUC1 binding regions and resulted in the least amount of aptamer backbone fluctuations. Many of the other designs led to non-functional systems, with the aptamer collapsing onto the surface. The computational approach we have developed and the resulting analysis techniques can be employed for the rational design of aptamer-based biosensors and provide a valuable tool for improving biosensor performance and repeatability.Iman JeddiLeonor SaizNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Iman Jeddi Leonor Saiz Computational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate |
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Abstract Aptamer interactions with a surface of attachment are central to the design and performance of aptamer-based biosensors. We have developed a computational modeling approach to study different system designs—including different aptamer-attachment ends, aptamer surface densities, aptamer orientations, and solvent solutions—and applied it to an anti MUC1 aptamer tethered to a silica biosensor substrate. Amongst all the system designs explored, we found that attaching the anti MUC1 aptamer through the 5′ terminal end, in a high surface density configuration, and solvated in a 0.8 M NaCl solution provided the best exposure of the aptamer MUC1 binding regions and resulted in the least amount of aptamer backbone fluctuations. Many of the other designs led to non-functional systems, with the aptamer collapsing onto the surface. The computational approach we have developed and the resulting analysis techniques can be employed for the rational design of aptamer-based biosensors and provide a valuable tool for improving biosensor performance and repeatability. |
format |
article |
author |
Iman Jeddi Leonor Saiz |
author_facet |
Iman Jeddi Leonor Saiz |
author_sort |
Iman Jeddi |
title |
Computational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate |
title_short |
Computational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate |
title_full |
Computational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate |
title_fullStr |
Computational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate |
title_full_unstemmed |
Computational design of single-stranded DNA hairpin aptamers immobilized on a biosensor substrate |
title_sort |
computational design of single-stranded dna hairpin aptamers immobilized on a biosensor substrate |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/cdf59dc121e4481ab88b7ff2f44f5cd2 |
work_keys_str_mv |
AT imanjeddi computationaldesignofsinglestrandeddnahairpinaptamersimmobilizedonabiosensorsubstrate AT leonorsaiz computationaldesignofsinglestrandeddnahairpinaptamersimmobilizedonabiosensorsubstrate |
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1718389717821554688 |