Evidence map›Paper›PMID 16415006›Full record

ArticleJournal of virology2006

West Nile virus discriminates between DC-SIGN and DC-SIGNR for cellular attachment and infection.

Carl W Davis, Hai-Yen Nguyen, Sheri L Hanna, Melissa D Sánchez, Robert W Doms, Theodore C Pierson

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed
20.9field-weighted citation impact, top 1% 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

214 citing papers in PubMed, 351 citations in OpenAlex.

  1. Trial
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  5. Article
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  9. Article
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  11. Article
  12. Review
  13. West Nile virus unmasked: from gene variability to future challenges.Frontiers in cellular and infection microbiology · 2025
    Review
  14. Article
  15. Review
  16. Article
  17. pr-independent biogenesis of infectious mature Zika virus particles.bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Article

154 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

6 authors at 2 institutions in 1 country.

Carl W DavisDepartment of Microbiology, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Hai-Yen Nguyen
Sheri L Hanna
Melissa D Sánchez
Robert W Doms
Theodore C Pierson
University of Pennsylvania · USNational Institutes of Health · US

Funding

Vaccine strategy for broad spectrum protection agains non-typhoidal salmonellU54AI057168 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI WHITE, JUDITH M. · 2003 to 2013
$91.5M
TRAINING PROGRAM IN CELL AND MOLECULAR BIOLOGYT32GM007229 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BARTOLOMEI, MARISA S. · 1985 to 2023
$14.0M
TRAINING IN HIV PATHOGENESIST32AI007632 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Frederic D Bushman, James L. Riley · 2000 to 2026
$10.6M
TRAINING IN VIROLOGYT32AI007324 · NIAID · WISTAR INSTITUTE · PI Paul Bates, Matthew D. Weitzman · 1989 to 2026
$6.8M
Interactions Between HIV and SIV with DC-SIGN &DC-SIGNRR01AI050469 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI DOMS, ROBERT W. · 2001 to 2005
$1.9M
Outcomes of the Interactions of Flaviviruses with AntiboZ01AI000957 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI PIERSON, THEODORE C. · 2005 to 2008
$1.3M
MINORITY PREDOCTORAL FELLOWSHIP PROGRAMF31RR005074 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI SANCHEZ, MELISSA · 2000 to 2004
$169k
NCRR NIH HHS F31 RR005074NCRR NIH HHS F31 RR 05074NIAID NIH HHS AI 50469NIAID NIH HHS R01 AI050469NIAID NIH HHS T32 AI007324NIAID NIH HHS T32 AI007632NIAID NIH HHS T32 AI 07324-13NIAID NIH HHS T32 AI 07632NIAID NIH HHS U54 AI057168NIAID NIH HHS U54 AI 57168NIGMS NIH HHS T32 GM 007229NIGMS NIH HHS T32 GM007229
6 · The paper itself

Abstract

The C-type lectins DC-SIGN and DC-SIGNR bind mannose-rich glycans with high affinity. In vitro, cells expressing these attachment factors efficiently capture, and are infected by, a diverse array of appropriately glycosylated pathogens, including dengue virus. In this study, we investigated whether these lectins could enhance cellular infection by West Nile virus (WNV), a mosquito-borne flavivirus related to dengue virus. We discovered that DC-SIGNR promoted WNV infection much more efficiently than did DC-SIGN, particularly when the virus was grown in human cell types. The presence of a single N-linked glycosylation site on either the prM or E glycoprotein of WNV was sufficient to allow DC-SIGNR-mediated infection, demonstrating that uncleaved prM protein present on a flavivirus virion can influence viral tropism under certain circumstances. Preferential utilization of DC-SIGNR was a specific property conferred by the WNV envelope glycoproteins. Chimeras between DC-SIGN and DC-SIGNR demonstrated that the ability of DC-SIGNR to promote WNV infection maps to its carbohydrate recognition domain. WNV virions and subviral particles bound to DC-SIGNR with much greater affinity than DC-SIGN. We believe this is the first report of a pathogen interacting more efficiently with DC-SIGNR than with DC-SIGN. Our results should lead to the discovery of new mechanisms by which these well-studied lectins discriminate among ligands.

Indexed as

AnimalsBinding SitesCell AdhesionCell Adhesion MoleculesCell LineCricetinaeDC-Specific ICAM-3 Grabbing NonintegrinGlycosylationHeLa CellsHumansLectins, C-TypeLigandsMutationReceptors, Cell SurfaceRecombinant ProteinsViral Envelope ProteinsCell Adhesion MoleculesCLEC4M protein, humanDC-Specific ICAM-3 Grabbing NonintegrinLectins, C-TypeLigandsprM protein, FlavivirusReceptors, Cell SurfaceRecombinant ProteinsViral Envelope Proteins

Identifiers

PMID16415006
PMCPMC1346927
OpenAlexW2116885823

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.