Evidence map›Paper›PMID 35701729›Full record

ArticleTraffic (Copenhagen, Denmark)2022

Megaviruses contain various genes encoding for eukaryotic vesicle trafficking factors.

Dany Khalifeh, Emilie Neveu, Dirk Fasshauer

Open access · bronzeAbstract read
In one paragraph

Article in Traffic (Copenhagen, Denmark), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. A look beyond the QR code of SNARE proteins.Protein science : a publication of the Protein Society · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors at 1 institution in 1 country.

Dany KhalifehDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Emilie NeveuDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Dirk FasshauerDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-1040-4282
University of Lausanne · CH

Funding

Swiss National Science Foundation 31003A_182732
6 · The paper itself

Abstract

Many intracellular pathogens, such as bacteria and large viruses, enter eukaryotic cells via phagocytosis, then replicate and proliferate inside the host. To avoid degradation in the phagosomes, they have developed strategies to modify vesicle trafficking. Although several strategies of bacteria have been characterized, it is not clear whether viruses also interfere with the vesicle trafficking of the host. Recently, we came across SNARE proteins encoded in the genomes of several bacteria of the order Legionellales. These pathogenic bacteria may use SNAREs to interfere with vesicle trafficking, since SNARE proteins are the core machinery for vesicle fusion during transport. They assemble into membrane-bridging SNARE complexes that bring membranes together. We now have also discovered SNARE proteins in the genomes of diverse giant viruses. Our biochemical experiments showed that these proteins are able to form SNARE complexes. We also found other key trafficking factors that work together with SNAREs such as NSF, SM, and Rab proteins encoded in the genomes of giant viruses, suggesting that viruses can make use of a large genetic repertoire of trafficking factors. Most giant viruses possess different collections, suggesting that these factors entered the viral genome multiple times. In the future, the molecular role of these factors during viral infection need to be studied.

Indexed as

EukaryotaEukaryotic CellsMembrane FusionPhagosomesSNARE ProteinsSNARE ProteinsEukaryotaGiant viruseslegionellamembrane traffickingMimivirusMunc18 proteinsN-ethylmaleimide-sensitive factorRas proteinSNARE proteins

Identifiers

PMID35701729
PMCPMC9546365
OpenAlexW4282940919

What Socratic 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 Socratic graph.