Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783439263017205760 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6660115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT stanleygeorgej quantificationofbiomoleculardynamicsinsiderealandsyntheticnuclearporecomplexesusingtimeresolvedatomicforcemicroscopy AT akpinarbernice quantificationofbiomoleculardynamicsinsiderealandsyntheticnuclearporecomplexesusingtimeresolvedatomicforcemicroscopy AT shenqi quantificationofbiomoleculardynamicsinsiderealandsyntheticnuclearporecomplexesusingtimeresolvedatomicforcemicroscopy AT fisherpatrickdellis quantificationofbiomoleculardynamicsinsiderealandsyntheticnuclearporecomplexesusingtimeresolvedatomicforcemicroscopy AT luskcpatrick quantificationofbiomoleculardynamicsinsiderealandsyntheticnuclearporecomplexesusingtimeresolvedatomicforcemicroscopy AT linchenxiang quantificationofbiomoleculardynamicsinsiderealandsyntheticnuclearporecomplexesusingtimeresolvedatomicforcemicroscopy AT hoogenboombartw quantificationofbiomoleculardynamicsinsiderealandsyntheticnuclearporecomplexesusingtimeresolvedatomicforcemicroscopy |