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Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy

[Image: see text] Over the past decades, atomic force microscopy (AFM) has emerged as an increasingly powerful tool to study the dynamics of biomolecules at nanometer length scales. However, the more stochastic the nature of such biomolecular dynamics, the harder it becomes to distinguish them from...

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Autores principales: Stanley, George J., Akpinar, Bernice, Shen, Qi, Fisher, Patrick D. Ellis, Lusk, C. Patrick, Lin, Chenxiang, Hoogenboom, Bart W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660115/
https://www.ncbi.nlm.nih.gov/pubmed/31241896
http://dx.doi.org/10.1021/acsnano.9b02424
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author Stanley, George J.
Akpinar, Bernice
Shen, Qi
Fisher, Patrick D. Ellis
Lusk, C. Patrick
Lin, Chenxiang
Hoogenboom, Bart W.
author_facet Stanley, George J.
Akpinar, Bernice
Shen, Qi
Fisher, Patrick D. Ellis
Lusk, C. Patrick
Lin, Chenxiang
Hoogenboom, Bart W.
author_sort Stanley, George J.
collection PubMed
description [Image: see text] Over the past decades, atomic force microscopy (AFM) has emerged as an increasingly powerful tool to study the dynamics of biomolecules at nanometer length scales. However, the more stochastic the nature of such biomolecular dynamics, the harder it becomes to distinguish them from AFM measurement noise. Rapid, stochastic dynamics are inherent to biological systems comprising intrinsically disordered proteins. One role of such proteins is in the formation of the transport barrier of the nuclear pore complex (NPC): the selective gateway for macromolecular traffic entering or exiting the nucleus. Here, we use AFM to observe the dynamics of intrinsically disordered proteins from two systems: the transport barrier of native NPCs and the transport barrier of a mimetic NPC made using a DNA origami scaffold. Analyzing data recorded with 50–200 ms temporal resolution, we highlight the importance of drift correction and appropriate baseline measurements in such experiments. In addition, we describe an autocorrelation analysis to quantify time scales of observed dynamics and to assess their veracity—an analysis protocol that lends itself to the quantification of stochastic fluctuations in other biomolecular systems. The results reveal the surprisingly slow rate of stochastic, collective transitions inside mimetic NPCs, highlighting the importance of FG-nup cohesive interactions.
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spelling pubmed-66601152019-07-29 Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy Stanley, George J. Akpinar, Bernice Shen, Qi Fisher, Patrick D. Ellis Lusk, C. Patrick Lin, Chenxiang Hoogenboom, Bart W. ACS Nano [Image: see text] Over the past decades, atomic force microscopy (AFM) has emerged as an increasingly powerful tool to study the dynamics of biomolecules at nanometer length scales. However, the more stochastic the nature of such biomolecular dynamics, the harder it becomes to distinguish them from AFM measurement noise. Rapid, stochastic dynamics are inherent to biological systems comprising intrinsically disordered proteins. One role of such proteins is in the formation of the transport barrier of the nuclear pore complex (NPC): the selective gateway for macromolecular traffic entering or exiting the nucleus. Here, we use AFM to observe the dynamics of intrinsically disordered proteins from two systems: the transport barrier of native NPCs and the transport barrier of a mimetic NPC made using a DNA origami scaffold. Analyzing data recorded with 50–200 ms temporal resolution, we highlight the importance of drift correction and appropriate baseline measurements in such experiments. In addition, we describe an autocorrelation analysis to quantify time scales of observed dynamics and to assess their veracity—an analysis protocol that lends itself to the quantification of stochastic fluctuations in other biomolecular systems. The results reveal the surprisingly slow rate of stochastic, collective transitions inside mimetic NPCs, highlighting the importance of FG-nup cohesive interactions. American Chemical Society 2019-06-26 2019-07-23 /pmc/articles/PMC6660115/ /pubmed/31241896 http://dx.doi.org/10.1021/acsnano.9b02424 Text en Copyright © 2019 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 Stanley, George J.
Akpinar, Bernice
Shen, Qi
Fisher, Patrick D. Ellis
Lusk, C. Patrick
Lin, Chenxiang
Hoogenboom, Bart W.
Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy
title Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy
title_full Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy
title_fullStr Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy
title_full_unstemmed Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy
title_short Quantification of Biomolecular Dynamics Inside Real and Synthetic Nuclear Pore Complexes Using Time-Resolved Atomic Force Microscopy
title_sort quantification of biomolecular dynamics inside real and synthetic nuclear pore complexes using time-resolved atomic force microscopy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660115/
https://www.ncbi.nlm.nih.gov/pubmed/31241896
http://dx.doi.org/10.1021/acsnano.9b02424
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