Evidence map›Paper›PMID 23395264›Full record

ReviewCurrent opinion in virology2013

Live cell imaging of viral entry.

Eileen Sun, Jiang He, Xiaowei Zhuang

Abstract readReview
In one paragraph

Review in Current opinion in virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Making Rift Valley Fever Viral Particles Fluorescent.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Dynamics of transmissible gastroenteritis virus internalization unraveled by single-virus tracking in live cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Virus Entry: Looking Back and Moving Forward.Journal of molecular biology · 2018
    Review
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

3 authors at 1 institution in 1 country.

Eileen SunProgram in Virology, Harvard Medical School, Boston, MA 02115, United States.
Jiang He
Xiaowei Zhuang
Harvard University · US

Funding

Super-resolution studies of the entry mechanisms of influenza virusesR01GM068518 · NIGMS · HARVARD UNIVERSITY · PI ZHUANG, XIAOWEI · 2004 to 2014
$2.9M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM068518NIGMS NIH HHS R01GM068518
6 · The paper itself

Abstract

Viral entry encompasses the initial steps of infection starting from virion host cell attachment to viral genome release. Given the dynamic interactions between the virus and the host, many questions related to viral entry can be directly addressed by live cell imaging. Recent advances in fluorescent labeling of viral and cellular components, fluorescence microscopy with high sensitivity and spatiotemporal resolution, and image analysis enabled studies of a broad spectrum across many viral entry steps, including virus-receptor interactions, internalization, intracellular transport, genomic release, nuclear transport, and cell-to-cell transmission. Collectively, these live cell imaging studies have not only enriched our understandings of the viral entry mechanisms, but also provided novel insights into basic cellular biology processes.

Indexed as

Virus InternalizationCytological TechniquesImage Processing, Computer-AssistedMicroscopy, FluorescenceVirology

Identifiers

PMID23395264
PMCPMC3587724
OpenAlexW1968297376

What OpenQuestion holds

Textmetadata
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.