Evidence map›Paper›PMID 33990554›Full record

ArticleNature communications2021

3D particle averaging and detection of macromolecular symmetry in localization microscopy.

Hamidreza Heydarian, Maarten Joosten, Adrian Przybylski, Florian Schueder, Ralf Jungmann, Ben van Werkhoven, Jan Keller-Findeisen, Jonas Ries, Sjoerd Stallinga, Mark Bates and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  11. SuperResNET: Model-Free Single-Molecule Network Analysis Software Achieves Molecular Resolution of Nup96.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Hamidreza HeydarianDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID http://orcid.org/0000-0003-1341-3165
Maarten JoostenDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Adrian PrzybylskiDepartment of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Florian SchuederDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.ORCID http://orcid.org/0000-0003-3412-5066
Ralf JungmannDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.ORCID http://orcid.org/0000-0003-4607-3312
Ben van WerkhovenNetherlands eScience Center, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-7508-3272
Jan Keller-FindeisenDepartment of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID http://orcid.org/0000-0003-2753-0848
Jonas RiesCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6640-9250
Sjoerd StallingaDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID http://orcid.org/0000-0003-4978-3272
Mark BatesDepartment of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID http://orcid.org/0000-0003-0668-5277
Bernd RiegerDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands. b.rieger@tudelft.nl.ORCID http://orcid.org/0000-0001-9215-9307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single molecule localization microscopy offers in principle resolution down to the molecular level, but in practice this is limited primarily by incomplete fluorescent labeling of the structure. This missing information can be completed by merging information from many structurally identical particles. In this work, we present an approach for 3D single particle analysis in localization microscopy which hugely increases signal-to-noise ratio and resolution and enables determining the symmetry groups of macromolecular complexes. Our method does not require a structural template, and handles anisotropic localization uncertainties. We demonstrate 3D reconstructions of DNA-origami tetrahedrons, Nup96 and Nup107 subcomplexes of the nuclear pore complex acquired using multiple single molecule localization microscopy techniques, with their structural symmetry deducted from the data.

Indexed as

AlgorithmsCell LineComputer SimulationDNAHumansImaging, Three-DimensionalMacromolecular SubstancesMolecular ConformationNuclear PoreNuclear Pore Complex ProteinsSignal-To-Noise RatioSingle Molecule ImagingDNAMacromolecular Substancesnuclear pore complex protein 96Nuclear Pore Complex ProteinsNUP107 protein, human

Identifiers

PMID33990554
PMCPMC8121824

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Registered trials

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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.