Evidence map›Paper›PMID 29614729›Full record

ReviewViruses2018

Imaging, Tracking and Computational Analyses of Virus Entry and Egress with the Cytoskeleton.

I-Hsuan Wang, Christoph J Burckhardt, Artur Yakimovich, Urs F Greber

Abstract readReview
In one paragraph

Review in Viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mysteries of adenovirus packaging.Journal of virology · 2025
    Review
  5. Review
  6. Article
  7. Review
  8. Fluorogenic RNA-based biomaterials for imaging and tracking the cargo of extracellular vesicles.Journal of controlled release : official journal of the Controlled Release Society · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Designing molecules: directing stem cell differentiation.Frontiers in bioengineering and biotechnology · 2024
    Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Label-free microscopy for virus infections.Microscopy (Oxford, England) · 2023
    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

4 authors.

I-Hsuan WangDivision of Virology, Institute of Medical Science, the University of Tokyo, Tokyo 108-8639, Japan. jessica.ihwang84@gmail.com.ORCID 0000-0003-2159-7347
Christoph J BurckhardtLyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA. Christoph.Burckhardt@utsouthwestern.edu.
Artur YakimovichMRC Laboratory for Molecular Cell Biology, University College London, London WC1E 6BT, UK. a.yakimovich@ucl.ac.uk.ORCID 0000-0003-2458-4904
Urs F GreberDepartment of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland. urs.greber@imls.uzh.ch.ORCID 0000-0003-2278-120X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses have a dual nature: particles are “passive substances” lacking chemical energy transformation, whereas infected cells are “active substances” turning-over energy. How passive viral substances convert to active substances, comprising viral replication and assembly compartments has been of intense interest to virologists, cell and molecular biologists and immunologists. Infection starts with virus entry into a susceptible cell and delivers the viral genome to the replication site. This is a multi-step process, and involves the cytoskeleton and associated motor proteins. Likewise, the egress of progeny virus particles from the replication site to the extracellular space is enhanced by the cytoskeleton and associated motor proteins. This overcomes the limitation of thermal diffusion, and transports virions and virion components, often in association with cellular organelles. This review explores how the analysis of viral trajectories informs about mechanisms of infection. We discuss the methodology enabling researchers to visualize single virions in cells by fluorescence imaging and tracking. Virus visualization and tracking are increasingly enhanced by computational analyses of virus trajectories as well as in silico modeling. Combined approaches reveal previously unrecognized features of virus-infected cells. Using select examples of complementary methodology, we highlight the role of actin filaments and microtubules, and their associated motors in virus infections. In-depth studies of single virion dynamics at high temporal and spatial resolutions thereby provide deep insight into virus infection processes, and are a basis for uncovering underlying mechanisms of how cells function.

Indexed as

Host-Pathogen InteractionsMolecular ImagingVirus InternalizationVirus Physiological PhenomenaActinsAnimalsBiological TransportCytoskeletonHumansMicrotubulesModels, BiologicalVirionVirus AssemblyVirus DiseasesVirusesVirus ReleaseActinsactinadeno-associated virus AAVadenovirusbaculoviruscell biologyclick chemistrycomputingcytoskeletonDNA virusdyneinelectron microscopyendocytosisenveloped virusfluorescence microscopyfluorescent virionsgene expressiongene therapyhepatitis B virusherpes simplex virusherpesvirushuman immunodeficiency virus HIVimmunofluorescence microscopyinfectioninfluenza virusinnate immunityinternalizationintracellular transportkinesinmachine learningmembrane trafficmicroscopymicrotubuleModelingmyosinnonenveloped virusnuclear pore complexparvovirusquantitative microscopyreceptorRNA virussimian virus 40simulationsingle particle trackingtrackingtraffickingtrajectory segmentationvirion uncoatingvirus entryvirus infection mechanisms

Identifiers

PMID29614729
PMCPMC5923460

What Socratic 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 Socratic graph.