Raveendran, M orcid.org/0000-0003-3968-3673, Leach, AR, Hopes, T orcid.org/0000-0002-0785-7299 et al. (2 more authors) (2020) Ribosome fingerprinting with a solid-state nanopore. ACS Sensors. ISSN 2379-3694
Abstract
Nanopores hold great potential for the analysis of complex biological molecules at the single-entity level. One particularly interesting macromolecular machine is the ribosome, responsible for translating mRNAs into proteins. In this study, we use a solid-state nanopore to fingerprint 80S ribosomes and polysomes from a human neuronal cell line andDrosophila melanogaster cultured cells and ovaries. Specifically, we show that the peak amplitude and dwell time characteristics of 80S ribosomes are distinct from polysomes and can be used to discriminate ribosomes from polysomes in mixed samples. Moreover, we are able to distinguish large polysomes, containing more than seven ribosomes, from those containing two to three ribosomes, and demonstrate a correlation between polysome size and peak amplitude. This study highlights the application of solid-state nanopores as a rapid analytical tool for the detection and characterization of ribosomal complexes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2020 American Chemical Society. This is an author produced version of a paper published in ACS Sensors. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | nanopore; nanopipette; ribosome; single-molecule; polysome; translation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Oct 2020 16:48 |
Last Modified: | 08 Jan 2025 12:04 |
Status: | Published online |
Publisher: | American Chemical Society |
Identification Number: | 10.1021/acssensors.0c01642 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166667 |