Evidence map›Paper›PMID 31241896›Full record

ArticleACS nano2019

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

George J Stanley, Bernice Akpinar, Qi Shen, Patrick D Ellis Fisher, C Patrick Lusk, Chenxiang Lin, Bart W Hoogenboom

Abstract read
In one paragraph

Article in ACS nano, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Function of Nuclear Pore Complexes in Regulation of Plant Defense Signaling.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

George J StanleyLondon Centre for Nanotechnology , University College London , 17-19 Gordon Street , London WC1H 0AH , United Kingdom.
Bernice AkpinarLondon Centre for Nanotechnology , University College London , 17-19 Gordon Street , London WC1H 0AH , United Kingdom.
Qi ShenDepartment of Cell Biology , Yale School of Medicine , New Haven , Connecticut 06520 , United States.
Patrick D Ellis FisherDepartment of Cell Biology , Yale School of Medicine , New Haven , Connecticut 06520 , United States.ORCID 0000-0002-4248-108X
C Patrick LuskDepartment of Cell Biology , Yale School of Medicine , New Haven , Connecticut 06520 , United States.ORCID 0000-0003-4703-0533
Chenxiang LinDepartment of Cell Biology , Yale School of Medicine , New Haven , Connecticut 06520 , United States.ORCID 0000-0001-7041-1946
Bart W HoogenboomLondon Centre for Nanotechnology , University College London , 17-19 Gordon Street , London WC1H 0AH , United Kingdom.ORCID 0000-0002-8882-4324

Funding

Skill Development for Diverse Scientific Careers: A New Course Predoctoral Program in Cellular and Molecular BiologyT32GM007223 · NIGMS · YALE UNIVERSITY · PI BASERGA, SUSAN J · 1985 to 2019
$31.0M
The mechanism of ESCRT-mediated surveillance of the nuclear envelope barrierR01GM105672 · NIGMS · YALE UNIVERSITY · PI LUSK, CHARLES PATRICK · 2013 to 2025
$4.6M
Generating nuclear pore complex mimics with DNA origamiR21GM109466 · NIGMS · YALE UNIVERSITY · PI LIN, CHENXIANG, LUSK, CHARLES PATRICK · 2014 to 2015
$458k
Biotechnology and Biological Sciences Research Council BB/J014567/1NIGMS NIH HHS R01 GM105672NIGMS NIH HHS T32 GM007223
6 · The paper itself

Abstract

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.

Indexed as

Microscopy, Atomic ForceNuclear PoreNuclear Pore Complex ProteinsParticle SizeStochastic ProcessesSurface PropertiesTime FactorsNuclear Pore Complex Proteinsatomic force microscopyDNA origamiintrinsically disordered proteinsnuclear pore complexnuclear transportnucleoporins

Identifiers

PMID31241896
PMCPMC6660115

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.