The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Hemagglutinin Protein of Wild-Type Measles Virus Activates Toll-Like Receptor 2 Signaling
Open accessAbstract
Pattern recognition via Toll-like receptors (TLR) by antigen-presenting cells is an important element of innate immunity. We report that wild-type measles virus but not vaccine strains activate cells via both human and murine TLR2, and this is a property of the hemagglutinin (H) protein. The ability to activate cells via TLR2 by wild-type MV H protein is abolished by mutation of a single amino acid, asparagine at position 481 to tyrosine, as is found in attenuated strains, which is important for interaction with CD46, the receptor for these strains. TLR2 activation by MV wild-type H protein stimulates induction of proinflammatory cytokines such as interleukin-6 (IL-6) in human monocytic cells and surface expression of CD150, the receptor for all MV strains. Confirming the specificity of this interaction, wild-type H protein did not induce IL-6 release in macrophages from TLR2−/−mice. Thus, the unique property of MV wild-type strains to activate TLR2-dependent signals might essentially contribute not only to immune activation but also to viral spread and pathogenicity by upregulating the MV receptor on monocytes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Toll-like receptor recognizes bacterial DNA
Hemmi, H., Takeuchi, O., Kawai, T., Kaisho, T., Sato, S., Sanjo, H., Matsumoto, M., Hoshino, K., Wagner, H., Takeda, K., et al. (2000) · Nature · doi:10.1038/35047123 · Cited by 6,491 · cited 1×
“TLR4 appears to be the main receptor for lipopolysaccharide (LPS) lipid A from gramnegative bacteria (41), TLR6 might be a coreceptor for TLR2 in recognizing certain bacterial structures (50, 58), and TLR9 and TLR3 mediate responses to CpG bacterial DNA and double-stranded RNA (dsRNA), respectively (3, 24 ).”
BackgroundSelf-citationRecognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3
Alexopoulou, L., Holt, A. C., Medzhitov, R., & Flavell, R. A. (2001) · Nature · doi:10.1038/35099560 · Cited by 6,129
Toll-like receptors: critical proteins linking innate and acquired immunity
Akira, S., Takeda, K., & Kaisho, T. (2001) · Nature Immunology · doi:10.1038/90609 · Cited by 4,777
Peptidoglycan- and Lipoteichoic Acid-induced Cell Activation Is Mediated by Toll-like Receptor 2
Schwandner, R., Dziarski, R., Wesche, H., Rothe, M., & Kirschning, C. J. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.25.17406 · Cited by 1,704
Self-citation
Cited by
Jensen, S., & Thomsen, A. R. (2012) · Journal of Virology · doi:10.1128/jvi.05738-11 · Cited by 604
LeBouder, E., Rey-Nores, J. E., Rushmere, N. K., Grigorov, M., Lawn, S. D., Affolter, M., Griffin, G. E., Ferrara, P., Schiffrin, E. J., Morgan, B. P., et al. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.171.12.6680 · Cited by 340
Toll-Like Receptor Pathways in Autoimmune Diseases
Chen, J.-Q., Szodoray, P., & Zeher, M. (2016) · Clinical Reviews in Allergy & Immunology · doi:10.1007/s12016-015-8473-z · Cited by 315
Hartman, Z. C., Appledorn, D. M., & Amalfitano, A. (2008) · Virus Research · doi:10.1016/j.virusres.2007.10.005 · Cited by 239
Sène, D., Levasseur, F., Abel, M., Lambert, M., Camous, X., Hernandez, C., Pène, V., Rosenberg, A. R., Jouvin-Marche, E., Marche, P. N., et al. (2010) · PLoS Pathogens · doi:10.1371/journal.ppat.1001184 · Cited by 113
Abdul-Cader, M. S., Amarasinghe, A., & Abdul-Careem, M. F. (2016) · Archives of Virology · doi:10.1007/s00705-016-2904-x · Cited by 99
Prophylactic and therapeutic implications of toll-like receptor ligands
Hedayat, M., Takeda, K., & Rezaei, N. (2012) · Medicinal Research Reviews · doi:10.1002/med.20214 · Cited by 76
Neurons under viral attack: Victims or warriors?
Chakraborty, S., Nazmi, A., Dutta, K., & Basu, A. (2010) · Neurochemistry International · doi:10.1016/j.neuint.2010.02.016 · Cited by 42
Metadata
- Authors
- Bieback, K., Lien, E., Klagge, I. M., Avota, E., Schneider-Schaulies, J., Duprex, W. P., Wagner, H., Kirschning, C. J., ter Meulen, V., & Schneider-Schaulies, S.
- Venue
- Journal of Virology
- Publisher
- American Society for Microbiology
- Published
- 2002-09
- Volume
- 76
- Issue
- 17
- Pages
- 8729-8736
- ISSN
- 0022-538X (ISSN-L)
- 1098-5514
- OpenAlex
- W2110161909
- Cited by
- 509
- References
- 4
- FWCI
- 18.77
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
