Literature DB >> 35441627

Discrimination of RNA fiber structures using solid-state nanopores.

Prabhat Tripathi1, Morgan Chandler2, Christopher Michael Maffeo3, Ali Fallahi4, Amr Makhamreh4, Justin Halman2, Aleksei Aksimentiev5,3, Kirill A Afonin2, Meni Wanunu1,4.   

Abstract

RNA fibers are a class of biomaterials that can be assembled using HIV-like kissing loop interactions. Because of the programmability of molecular design and low immunorecognition, these structures present an interesting opportunity to solve problems in nanobiotechnology and synthetic biology. However, the experimental tools to fully characterize and discriminate among different fiber structures in solution are limited. Herein, we utilize solid-state nanopore experiments and Brownian dynamics simulations to characterize and distinguish several RNA fiber structures that differ in their degrees of branching. We found that, regardless of the electrolyte type and concentration, fiber structures that have more branches produce longer and deeper ionic current blockades in comparison to the unbranched fibers. Experiments carried out at temperatures ranging from 20-60 °C revealed almost identical distributions of current blockade amplitudes, suggesting that the kissing loop interactions in fibers are resistant to heating within this range.

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Year:  2022        PMID: 35441627      PMCID: PMC9520586          DOI: 10.1039/d1nr08002d

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   8.307


  34 in total

1.  Detection of nucleosomal substructures using solid-state nanopores.

Authors:  Gautam V Soni; Cees Dekker
Journal:  Nano Lett       Date:  2012-05-08       Impact factor: 11.189

2.  Analysis of nanopore data using hidden Markov models.

Authors:  Jacob Schreiber; Kevin Karplus
Journal:  Bioinformatics       Date:  2015-02-03       Impact factor: 6.937

3.  Smooth DNA transport through a narrowed pore geometry.

Authors:  Spencer Carson; James Wilson; Aleksei Aksimentiev; Meni Wanunu
Journal:  Biophys J       Date:  2014-11-18       Impact factor: 4.033

4.  Picomolar Fingerprinting of Nucleic Acid Nanoparticles Using Solid-State Nanopores.

Authors:  Mohammad Amin Alibakhshi; Justin R Halman; James Wilson; Aleksei Aksimentiev; Kirill A Afonin; Meni Wanunu
Journal:  ACS Nano       Date:  2017-09-11       Impact factor: 15.881

5.  Monitoring G-Quadruplex Formation with DNA Carriers and Solid-State Nanopores.

Authors:  Filip Bošković; Jinbo Zhu; Kaikai Chen; Ulrich F Keyser
Journal:  Nano Lett       Date:  2019-10-10       Impact factor: 11.189

6.  Rapid and Accurate Determination of Nanopore Ionic Current Using a Steric Exclusion Model.

Authors:  James Wilson; Kumar Sarthak; Wei Si; Luyu Gao; Aleksei Aksimentiev
Journal:  ACS Sens       Date:  2019-03-13       Impact factor: 7.711

7.  Translocation of DNA through Ultrathin Nanoslits.

Authors:  Wayne Yang; Boya Radha; Adnan Choudhary; Yi You; Gangaiah Mettela; Andre K Geim; Aleksei Aksimentiev; Ashok Keerthi; Cees Dekker
Journal:  Adv Mater       Date:  2021-02-01       Impact factor: 30.849

Review 8.  Nucleic acid nanoparticles (NANPs) as molecular tools to direct desirable and avoid undesirable immunological effects.

Authors:  M Brittany Johnson; Morgan Chandler; Kirill A Afonin
Journal:  Adv Drug Deliv Rev       Date:  2021-04-20       Impact factor: 17.873

9.  Electrical DNA Sequence Mapping Using Oligodeoxynucleotide Labels and Nanopores.

Authors:  Kaikai Chen; Felix Gularek; Boyao Liu; Elmar Weinhold; Ulrich F Keyser
Journal:  ACS Nano       Date:  2021-01-21       Impact factor: 15.881

10.  Simultaneous silencing of lysophosphatidylcholine acyltransferases 1-4 by nucleic acid nanoparticles (NANPs) improves radiation response of melanoma cells.

Authors:  Renata F Saito; Maria Cristina Rangel; Justin R Halman; Morgan Chandler; Luciana Nogueira de Sousa Andrade; Silvina Odete-Bustos; Tatiane Katsue Furuya; Alexis Germán Murillo Carrasco; Adriano B Chaves-Filho; Marcos Y Yoshinaga; Sayuri Miyamoto; Kirill A Afonin; Roger Chammas
Journal:  Nanomedicine       Date:  2021-06-24       Impact factor: 6.096

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