Evidence map›Paper›PMID 27181750›Full record

ArticleScientific reports2016

Peroxisomes are platforms for cytomegalovirus' evasion from the cellular immune response.

Ana Cristina Magalhães, Ana Rita Ferreira, Sílvia Gomes, Marta Vieira, Ana Gouveia, Isabel Valença, Markus Islinger, Rute Nascimento, Michael Schrader, Jonathan C Kagan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

11 authors at 5 institutions in 4 countries.

Ana Cristina MagalhãesInstitute for Research in Biomedicine - iBiMED, Department of Medical Sciences &Department of Biology, University of Aveiro, Aveiro, Portugal.
Ana Rita FerreiraInstitute for Research in Biomedicine - iBiMED, Department of Medical Sciences &Department of Biology, University of Aveiro, Aveiro, Portugal.
Sílvia GomesInstitute for Research in Biomedicine - iBiMED, Department of Medical Sciences &Department of Biology, University of Aveiro, Aveiro, Portugal.
Marta VieiraInstitute for Research in Biomedicine - iBiMED, Department of Medical Sciences &Department of Biology, University of Aveiro, Aveiro, Portugal.
Ana GouveiaInstitute for Research in Biomedicine - iBiMED, Department of Medical Sciences &Department of Biology, University of Aveiro, Aveiro, Portugal.
Isabel ValençaInstitute for Research in Biomedicine - iBiMED, Department of Medical Sciences &Department of Biology, University of Aveiro, Aveiro, Portugal.
Markus IslingerNeuroanatomy, Center for Biomedicine and Medical Technology Mannheim, University of Heidelberg, Heidelberg, Germany.
Rute NascimentoInfections and Immunity Laboratory, Instituto Gulbenkian de Ciência, Oeiras, Portugal.
Michael SchraderCollege of Life and Environmental Sciences, Biosciences, University of Exeter, Exeter, Devon, UK.
Jonathan C KaganDivision of Gastroenterology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
Daniela RibeiroInstitute for Research in Biomedicine - iBiMED, Department of Medical Sciences &Department of Biology, University of Aveiro, Aveiro, Portugal.
University of Aveiro · PTHarvard University · USHeidelberg University · DEInstituto Gulbenkian de Ciência · PTUniversity of Exeter · GB

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
NIDDK NIH HHS P30 DK034854
6 · The paper itself

Abstract

The human cytomegalovirus developed distinct evasion mechanisms from the cellular antiviral response involving vMIA, a virally-encoded protein that is not only able to prevent cellular apoptosis but also to inhibit signalling downstream from mitochondrial MAVS. vMIA has been shown to localize at mitochondria and to trigger their fragmentation, a phenomenon proven to be essential for the signalling inhibition. Here, we demonstrate that vMIA is also localized at peroxisomes, induces their fragmentation and inhibits the peroxisomal-dependent antiviral signalling pathway. Importantly, we demonstrate that peroxisomal fragmentation is not essential for vMIA to specifically inhibit signalling downstream the peroxisomal MAVS. We also show that vMIA interacts with the cytoplasmic chaperone Pex19, suggesting that the virus has developed a strategy to highjack the peroxisomal membrane proteins' transport machinery. Furthermore, we show that vMIA is able to specifically interact with the peroxisomal MAVS. Our results demonstrate that peroxisomes constitute a platform for evasion of the cellular antiviral response and that the human cytomegalovirus has developed a mechanism by which it is able to specifically evade the peroxisomal MAVS-dependent antiviral signalling.

Indexed as

Adaptor Proteins, Signal TransducingApoptosisCytomegalovirusCytomegalovirus InfectionsHep G2 CellsHumansImmediate-Early ProteinsImmune EvasionImmunity, CellularMembrane ProteinsMitochondriaPeroxisomesProtein TransportSignal TransductionAdaptor Proteins, Signal TransducingImmediate-Early ProteinsMAVS protein, humanMembrane ProteinsPEX19 protein, humanUL37 protein, Human herpesvirus 5

Identifiers

PMID27181750
PMCPMC4867596
OpenAlexW2339041376

What OpenQuestion 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 OpenQuestion graph.