Evidence map›Paper›PMID 17304249›Full record

ReviewNature reviews. Microbiology2007

Virus trafficking - learning from single-virus tracking.

Boerries Brandenburg, Xiaowei Zhuang

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers.

0numbers the graph read from it
0cells of the map it votes in
173citing 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

173 citing papers in PubMed.

  1. Review
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  15. Negatively charged CuNanoscale advances · 2023
    Article
  16. Review
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  18. Article
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113 more citing papers are in PubMed but not listed here.

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

2 authors.

Boerries BrandenburgHoward Hughes Medical Institute, Harvard University, Cambridge, Massachusetts 02138, USA.
Xiaowei Zhuang

Funding

Super-resolution studies of the entry mechanisms of influenza virusesR01GM068518 · NIGMS · HARVARD UNIVERSITY · PI ZHUANG, XIAOWEI · 2004 to 2014
$2.9M
NIGMS NIH HHS R01 GM068518
6 · The paper itself

Abstract

What could be a better way to study virus trafficking than 'miniaturizing oneself' and 'taking a ride with the virus particle' on its journey into the cell? Single-virus tracking in living cells potentially provides us with the means to visualize the virus journey. This approach allows us to follow the fate of individual virus particles and monitor dynamic interactions between viruses and cellular structures, revealing previously unobservable infection steps. The entry, trafficking and egress mechanisms of various animal viruses have been elucidated using this method. The combination of single-virus trafficking with systems approaches and state-of-the-art imaging technologies should prove exciting in the future.

Indexed as

Virus Physiological PhenomenaDiagnostic ImagingVirionVirologyVirus AssemblyVirus Diseases

Identifiers

PMID17304249
PMCPMC2740720

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.