Evidence map›Paper›PMID 20088951›Full record

ArticleCellular microbiology2010

Qualitative and quantitative ultrastructural analysis of the membrane rearrangements induced by coronavirus.

Mustafa Ulasli, Monique H Verheije, Cornelis A M de Haan, Fulvio Reggiori

Open access · bronzeAbstract read
In one paragraph

Article in Cellular microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

169 citing papers in PubMed, 216 citations in OpenAlex.

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109 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

4 authors at 3 institutions in 2 countries.

Mustafa UlasliDepartment of Cell Biology and Institute of Biomembranes, University Medical Centre Utrecht, The Netherlands.
Monique H Verheije
Cornelis A M de Haan
Fulvio Reggiori
Utrecht University · NLMedical Protective · USUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronaviruses (CoV) are enveloped positive-strand RNA viruses that induce different membrane rearrangements in infected cells in order to efficiently replicate and assemble. The origin, the protein composition and the function of these structures are not well established. To shed further light on these structures, we have performed a time-course experiment in which the mouse hepatitis virus (MHV)-induced membrane rearrangements were examined qualitatively and quantitatively by (immuno)-electron microscopy. With our approach we were able to confirm the appearance of 6, previously reported, membranous structures during the course of a complete infection cycle. These structures include the well-characterized double-membrane vesicles (DMVs), convoluted membranes (CMs) and virions but also the more enigmatic large virion-containing vacuoles (LVCVs), tubular bodies (TBs) and cubic membrane structures (CMSs). We have characterized the LVCVs, TBs and CMSs, and found that the CoV-induced structures appear in a strict order. By combining these data with quantitative analyses on viral RNA, protein synthesis and virion release, this study generates an integrated molecular and ultrastructural overview of CoV infection. In particular, it provides insights in the role of each CoV-induced structure and reveals that LVCVs are ERGIC/Golgi compartments that expand to accommodate an increasing production of viral particles.

Indexed as

Virus AssemblyVirus ReleaseAnimalsCell LineCell MembraneHumansMicroscopy, ImmunoelectronModels, BiologicalMurine hepatitis virusTime Factors

Identifiers

PMID20088951
PMCPMC7159092
OpenAlexW1522319173

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.