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Ribosome Fingerprinting with a Solid-State Nanopore

[Image: see text] 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 fingerpr...

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Autores principales: Raveendran, Mukhil, Leach, Anna Rose, Hopes, Tayah, Aspden, Julie L., Actis, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706116/
https://www.ncbi.nlm.nih.gov/pubmed/33111519
http://dx.doi.org/10.1021/acssensors.0c01642
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author Raveendran, Mukhil
Leach, Anna Rose
Hopes, Tayah
Aspden, Julie L.
Actis, Paolo
author_facet Raveendran, Mukhil
Leach, Anna Rose
Hopes, Tayah
Aspden, Julie L.
Actis, Paolo
author_sort Raveendran, Mukhil
collection PubMed
description [Image: see text] 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.
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spelling pubmed-77061162020-12-02 Ribosome Fingerprinting with a Solid-State Nanopore Raveendran, Mukhil Leach, Anna Rose Hopes, Tayah Aspden, Julie L. Actis, Paolo ACS Sens [Image: see text] 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. American Chemical Society 2020-10-28 2020-11-25 /pmc/articles/PMC7706116/ /pubmed/33111519 http://dx.doi.org/10.1021/acssensors.0c01642 Text en © 2020 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Raveendran, Mukhil
Leach, Anna Rose
Hopes, Tayah
Aspden, Julie L.
Actis, Paolo
Ribosome Fingerprinting with a Solid-State Nanopore
title Ribosome Fingerprinting with a Solid-State Nanopore
title_full Ribosome Fingerprinting with a Solid-State Nanopore
title_fullStr Ribosome Fingerprinting with a Solid-State Nanopore
title_full_unstemmed Ribosome Fingerprinting with a Solid-State Nanopore
title_short Ribosome Fingerprinting with a Solid-State Nanopore
title_sort ribosome fingerprinting with a solid-state nanopore
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706116/
https://www.ncbi.nlm.nih.gov/pubmed/33111519
http://dx.doi.org/10.1021/acssensors.0c01642
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