Literature DB >> 29144014

Translocation of Precision Polymers through Biological Nanopores.

Mordjane Boukhet1, Niklas Felix König2, Abdelaziz Al Ouahabi2, Gerhard Baaken1, Jean-François Lutz2, Jan C Behrends3,4,5.   

Abstract

Nanopore analysis, which is, currently, chiefly used for DNA sequencing, is also an appealing technique for characterizing abiotic polymers. As a first step toward this goal, nanopore detection of non-natural monodispersed poly(phosphodiester)s as candidate backbone structures is reported herein. Two model homopolymers containing phosphopropyl repeat units (i.e., 56 or 104 r.u.) and a short thymidine nucleotide sequence are analyzed in the present work. They are tested in two different biological nanopores, α-hemolysin from Staphylococcus aureus, and aerolysin from Aeromonas hydrophila. These recordings are performed in aqueous medium at different KCl concentrations and various driving voltages. The data show a complex interaction with evidence for voltage dependence and threading, and underline the influence of the molecular structure and orientation of the precision poly(phosphodiester)s on the observed residual current signal as well as on the translocation dynamics. In particular, they suggest a dominant entropic contribution due to the high flexibility of the phosphodiester homopolymer.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  aerolysin; hemolysin; nanopore sequencing; polymer characterization; precision polymers

Mesh:

Substances:

Year:  2017        PMID: 29144014     DOI: 10.1002/marc.201700680

Source DB:  PubMed          Journal:  Macromol Rapid Commun        ISSN: 1022-1336            Impact factor:   5.734


  3 in total

1.  Quiet Outer Membrane Protein G (OmpG) Nanopore for Biosensing.

Authors:  Raghavendar Reddy Sanganna Gari; Patrick Seelheim; Binyong Liang; Lukas K Tamm
Journal:  ACS Sens       Date:  2019-04-25       Impact factor: 7.711

2.  Aerolysin nanopores decode digital information stored in tailored macromolecular analytes.

Authors:  Chan Cao; Lucien F Krapp; Abdelaziz Al Ouahabi; Niklas F König; Nuria Cirauqui; Aleksandra Radenovic; Jean-François Lutz; Matteo Dal Peraro
Journal:  Sci Adv       Date:  2020-12-09       Impact factor: 14.136

3.  Molecular Encryption and Steganography Using Mixtures of Simultaneously Sequenced, Sequence-Defined Oligourethanes.

Authors:  Samuel D Dahlhauser; Christopher D Wight; Sarah R Moor; Randall A Scanga; Phuoc Ngo; Jordan T York; Marissa S Vera; Kristin J Blake; Ian M Riddington; James F Reuther; Eric V Anslyn
Journal:  ACS Cent Sci       Date:  2022-07-20       Impact factor: 18.728

  3 in total

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