Evidence map›Paper›PMID 27374400›Full record

ArticleScientific reports2016

VirusMapper: open-source nanoscale mapping of viral architecture through super-resolution microscopy.

Robert D M Gray, Corina Beerli, Pedro Matos Pereira, Kathrin Maria Scherer, Jerzy Samolej, Christopher Karl Ernst Bleck, Jason Mercer, Ricardo Henriques

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
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

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
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  8. Article
  9. Virus morphology: Insights from super-resolution fluorescence microscopy.Biochimica et biophysica acta. Molecular basis of disease · 2022
    Review
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  17. Journal of cell science · 2019
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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

8 authors at 3 institutions in 2 countries.

Robert D M GrayMRC-Laboratory for Molecular Cell Biology. University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Corina BeerliMRC-Laboratory for Molecular Cell Biology. University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Pedro Matos PereiraMRC-Laboratory for Molecular Cell Biology. University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Kathrin Maria SchererMRC-Laboratory for Molecular Cell Biology. University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Jerzy SamolejMRC-Laboratory for Molecular Cell Biology. University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Christopher Karl Ernst BleckBiozentrum, University of Basel, Klingelbergstrasse 50/70, CH-4056 Basel, Switzerland.
Jason MercerMRC-Laboratory for Molecular Cell Biology. University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Ricardo HenriquesMRC-Laboratory for Molecular Cell Biology. University College London, Gower Street, London, WC1E 6BT, United Kingdom.
University College London · GBMRC Laboratory for Molecular Cell Biology · GBUniversity of Basel · CH

Funding

Electron Microscopy CoreZICHL005906 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI SYED, ZULFEQHAR · 2009 to 2025
$12.9M
Biotechnology and Biological Sciences Research Council BB/J014567/1Biotechnology and Biological Sciences Research Council BB/M022374/1Medical Research Council MC_UU_12018/7Medical Research Council MR/K015826/1
6 · The paper itself

Abstract

The nanoscale molecular assembly of mammalian viruses during their infectious life cycle remains poorly understood. Their small dimensions, generally bellow the 300nm diffraction limit of light microscopes, has limited most imaging studies to electron microscopy. The recent development of super-resolution (SR) light microscopy now allows the visualisation of viral structures at resolutions of tens of nanometers. In addition, these techniques provide the added benefit of molecular specific labelling and the capacity to investigate viral structural dynamics using live-cell microscopy. However, there is a lack of robust analytical tools that allow for precise mapping of viral structure within the setting of infection. Here we present an open-source analytical framework that combines super-resolution imaging and naïve single-particle analysis to generate unbiased molecular models. This tool, VirusMapper, is a high-throughput, user-friendly, ImageJ-based software package allowing for automatic statistical mapping of conserved multi-molecular structures, such as viral substructures or intact viruses. We demonstrate the usability of VirusMapper by applying it to SIM and STED images of vaccinia virus in isolation and when engaged with host cells. VirusMapper allows for the generation of accurate, high-content, molecular specific virion models and detection of nanoscale changes in viral architecture.

Indexed as

SoftwareAlgorithmsHeLa CellsHumansMicroscopyNanoparticlesVaccinia virusVirion

Identifiers

PMID27374400
PMCPMC4931586
OpenAlexW2475285080

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.