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Main Authors: Dong, Wangwei, Liu, Zezhou, Liu, Ruiyao, Fygenson, Deborah Kuchnir, Reisner, Walter
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.16238
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author Dong, Wangwei
Liu, Zezhou
Liu, Ruiyao
Fygenson, Deborah Kuchnir
Reisner, Walter
author_facet Dong, Wangwei
Liu, Zezhou
Liu, Ruiyao
Fygenson, Deborah Kuchnir
Reisner, Walter
contents DNA nanotechnology uses predictable interactions of nucleic acids to precisely engineer complex nanostructures. Characterizing these self-assembled structures at the single-structure level is crucial for validating their design and functionality. Nanopore sensing is a promising technique for this purpose as it is label-free, solution-based and high-throughput. Here, we present a device that incorporates dynamic feedback to control the translocation of DNA origami structures through and between two nanopores. We observe multiple translocations of the same molecule through the two distinct nanopores as well as measure its time-of-flight between the pores. We use machine learning classification methods in tandem with classical analysis of dwell-time/blockade distributions to analyze the complex multi-translocation events generated by different nanostructures. With this approach, we demonstrate the ability to distinguish DNA nanostructures of different lengths and/or small structural differences, all of which are difficult to detect using conventional, single-nanopore sensing. In addition, we develop a finite element diffusion model of the time-of-flight process and estimate nanostructure size. This work establishes the dual nanopore device as a powerful tool for DNA nanostructure characterization.
format Preprint
id arxiv_https___arxiv_org_abs_2510_16238
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle DNA Nanostructures Characterized via Dual Nanopore Resensing
Dong, Wangwei
Liu, Zezhou
Liu, Ruiyao
Fygenson, Deborah Kuchnir
Reisner, Walter
Biological Physics
DNA nanotechnology uses predictable interactions of nucleic acids to precisely engineer complex nanostructures. Characterizing these self-assembled structures at the single-structure level is crucial for validating their design and functionality. Nanopore sensing is a promising technique for this purpose as it is label-free, solution-based and high-throughput. Here, we present a device that incorporates dynamic feedback to control the translocation of DNA origami structures through and between two nanopores. We observe multiple translocations of the same molecule through the two distinct nanopores as well as measure its time-of-flight between the pores. We use machine learning classification methods in tandem with classical analysis of dwell-time/blockade distributions to analyze the complex multi-translocation events generated by different nanostructures. With this approach, we demonstrate the ability to distinguish DNA nanostructures of different lengths and/or small structural differences, all of which are difficult to detect using conventional, single-nanopore sensing. In addition, we develop a finite element diffusion model of the time-of-flight process and estimate nanostructure size. This work establishes the dual nanopore device as a powerful tool for DNA nanostructure characterization.
title DNA Nanostructures Characterized via Dual Nanopore Resensing
topic Biological Physics
url https://arxiv.org/abs/2510.16238