ArticleBiophysical journal2012
Quantitative analysis of the nanopore translocation dynamics of simple structured polynucleotides.
Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Nanopores Reveal the Stoichiometry of Single Oligoadenylates Produced by Type III CRISPR-Cas.ACS nano · 2024Article
- Biological Nanopores: Engineering on Demand.Life (Basel, Switzerland) · 2021Review
- Nanopore electric snapshots of an RNA tertiary folding pathway.Nature communications · 2017Article
- Internal vs fishhook hairpin DNA: unzipping locations and mechanisms in the α-hemolysin nanopore.The journal of physical chemistry. B · 2014Article
- Nanopore force spectroscopy of aptamer-ligand complexes.Biophysical journal · 2013Article
- Recent trends in nanopores for biotechnology.Current opinion in biotechnology · 2013Review
- Nanopore detachment kinetics of poly(A) binding proteins from RNA molecules reveals the critical role of C-terminus interactions.Biophysical journal · 2012Article
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Authors and funding
6 authors.
Funding
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Abstract
Nanopore translocation experiments are increasingly applied to probe the secondary structures of RNA and DNA molecules. Here, we report two vital steps toward establishing nanopore translocation as a tool for the systematic and quantitative analysis of polynucleotide folding: 1), Using α-hemolysin pores and a diverse set of different DNA hairpins, we demonstrate that backward nanopore force spectroscopy is particularly well suited for quantitative analysis. In contrast to forward translocation from the vestibule side of the pore, backward translocation times do not appear to be significantly affected by pore-DNA interactions. 2), We develop and verify experimentally a versatile mesoscopic theoretical framework for the quantitative analysis of translocation experiments with structured polynucleotides. The underlying model is based on sequence-dependent free energy landscapes constructed using the known thermodynamic parameters for polynucleotide basepairing. This approach limits the adjustable parameters to a small set of sequence-independent parameters. After parameter calibration, the theoretical model predicts the translocation dynamics of new sequences. These predictions can be leveraged to generate a baseline expectation even for more complicated structures where the assumptions underlying the one-dimensional free energy landscape may no longer be satisfied. Taken together, backward translocation through α-hemolysin pores combined with mesoscopic theoretical modeling is a promising approach for label-free single-molecule analysis of DNA and RNA folding.
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