The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Toll-like receptors 9 and 3 as essential components of innate immune defense against mouse cytomegalovirus infection
Open accessAbstract
Several subsets of dendritic cells have been shown to produce type I IFN in response to viral infections, thereby assisting the natural killer cell-dependent response that eliminates the pathogen. Type I IFN production can be induced both by unmethylated CpG-oligodeoxynucleotide and by double-stranded RNA. Here, we describe a codominant CpG-ODN unresponsive phenotype that results from an N-ethyl-N-nitrosourea-induced missense mutation in the Tlr9 gene (Tlr9 CpG1). Mice homozygous for the Tlr9 CpG1allele are highly susceptible to mouse cytomegalovirus infection and show impaired infection-induced secretion of IFN-α/β and natural killer cell activation. We also demonstrate that both the Toll-like receptor (TLR) 9 → MyD88 and TLR3 → Trif signaling pathways are activated in vivo on viral inoculation, and that each pathway contributes to innate defense against systemic viral infection. Whereas both pathways lead to type I IFN production, neither pathway offers full protection against mouse cytomegalovirus infection in the absence of the other. The Tlr9 CpG1mutation alters a leucine-rich repeat motif and lies within a receptor domain that is conserved within the evolutionary cluster encompassing TLRs 7, 8, and 9. In other TLRs, including three mouse-specific TLRs described in this paper, the affected region is not represented. The phenotypic effect of the Tlr9 CpG1allele thus points to a critical role for TLR9 in viral sensing and identifies a vulnerable amino acid within the ectodomain of three TLR proteins, essential for a ligand response.
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
Takeda, K., Kaisho, T., & Akira, S. (2003) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141126 · Cited by 6,143
Recognition 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
Cited by
The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors
Kawai, T., & Akira, S. (2010) · Nature Immunology · doi:10.1038/ni.1863 · Cited by 9,304
Reactive Oxygen Species in Inflammation and Tissue Injury
Mittal, M., Siddiqui, M. R., Tran, K., Reddy, S. P., & Malik, A. B. (2014) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.5149 · Cited by 4,897
Toll-like receptors and their crosstalk with other innate receptors in infection and immunity
Kawai, T., & Akira, S. (2011) · Immunity · doi:10.1016/j.immuni.2011.05.006 · Cited by 3,658
Toll-like receptors in innate immunity
Takeda, K. (2004) · International Immunology · doi:10.1093/intimm/dxh186 · Cited by 3,328
The family of five: TIR-domain-containing adaptors in Toll-like receptor signalling
O'Neill, L. A. J., & Bowie, A. G. (2007) · Nature Reviews Immunology · doi:10.1038/nri2079 · Cited by 2,667
Innate immune recognition of viral infection
Kawai, T., & Akira, S. (2006) · Nature Immunology · doi:10.1038/ni1303 · Cited by 1,899
The IRF Family Transcription Factors in Immunity and Oncogenesis
Tamura, T., Yanai, H., Savitsky, D., & Taniguchi, T. (2008) · Annual Review of Immunology · doi:10.1146/annurev.immunol.26.021607.090400 · Cited by 1,259
Plasmacytoid dendritic cells: sensing nucleic acids in viral infection and autoimmune diseases
Gilliet, M., Cao, W., & Liu, Y.-J. (2008) · Nature Reviews Immunology · doi:10.1038/nri2358 · Cited by 1,190
Interferons at age 50: past, current and future impact on biomedicine
Borden, E. C., Sen, G. C., Uze, G., Silverman, R. H., Ransohoff, R. M., Foster, G. R., & Stark, G. R. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2422 · Cited by 1,154
TLR3 Deficiency in Patients with Herpes Simplex Encephalitis
Zhang, S.-Y., Jouanguy, E., Ugolini, S., Smahi, A., Elain, G., Romero, P., Segal, D., Sancho-Shimizu, V., Lorenzo, L., Puel, A., et al. (2007) · Science · doi:10.1126/science.1139522 · Cited by 1,057
Toll-like Receptor 3-mediated Necrosis via TRIF, RIP3, and MLKL
Kaiser, W. J., Sridharan, H., Huang, C., Mandal, P., Upton, J. W., Gough, P. J., Sehon, C. A., Marquis, R. W., Bertin, J., & Mocarski, E. S. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.462341 · Cited by 959
Beutler, B. A. (2009) · Blood · doi:10.1182/blood-2008-07-019307 · Cited by 840
Self-citationTabeta, K., Hoebe, K., Janssen, E. M., Du, X., Georgel, P., Crozat, K., Mudd, S., Mann, N., Sovath, S., Goode, J., et al. (2006) · Nature Immunology · doi:10.1038/ni1297 · Cited by 600
Self-citationNucleic acid recognition by the innate immune system
Barbalat, R., Ewald, S. E., Mouchess, M. L., & Barton, G. M. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101340 · Cited by 577
Quantitative proteomics reveals subset-specific viral recognition in dendritic cells
Luber, C. A., Cox, J., Lauterbach, H., Fancke, B., Selbach, M., Tschopp, J., Akira, S., Wiegand, M., Hochrein, H., O'Keeffe, M., et al. (2010) · Immunity · doi:10.1016/j.immuni.2010.01.013 · Cited by 576
Virus Inhibition of RIP3-Dependent Necrosis
Upton, J. W., Kaiser, W. J., & Mocarski, E. S. (2010) · Cell Host & Microbe · doi:10.1016/j.chom.2010.03.006 · Cited by 559
Brinkmann, M. M., Spooner, E., Hoebe, K., Beutler, B., Ploegh, H. L., & Kim, Y.-M. (2007) · The Journal of Cell Biology · doi:10.1083/jcb.200612056 · Cited by 411
Self-citationThe role of viruses in acute exacerbations of asthma
Jackson, D. J., & Johnston, S. L. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2010.04.021 · Cited by 351
Regulation of immunity and oncogenesis by the IRF transcription factor family
Savitsky, D., Tamura, T., Yanai, H., & Taniguchi, T. (2010) · Cancer Immunology, Immunotherapy · doi:10.1007/s00262-009-0804-6 · Cited by 298
de Bouteiller, O., Merck, E., Hasan, U. A., Hubac, S., Benguigui, B., Trinchieri, G., Bates, E. E. M., & Caux, C. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m507163200 · Cited by 220
The role of alternative polyadenylation in the antiviral innate immune response
Jia, X., Yuan, S., Wang, Y., Fu, Y., Ge, Y., Ge, Y., Lan, X., Feng, Y., Qiu, F., Li, P., et al. (2017) · Nature Communications · doi:10.1038/ncomms14605 · Cited by 122
Kaminski, J. J., Schattgen, S. A., Tzeng, T.-C., Bode, C., Klinman, D. M., & Fitzgerald, K. A. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1300530 · Cited by 112
Carvalho, A., Cunha, C., Carotti, A., Aloisi, T., Guarrera, O., Di Ianni, M., Falzetti, F., Bistoni, F., Aversa, F., Pitzurra, L., et al. (2009) · Experimental Hematology · doi:10.1016/j.exphem.2009.06.004 · Cited by 104
Iribarren, P., Chen, K., Hu, J., Gong, W., Cho, E. H., Lockert, S., Uranchimeg, B., & Wang, J. M. (2005) · The FASEB Journal · doi:10.1096/fj.05-4578fje · Cited by 92
Toll like receptors and viruses
Finberg, R. W., Wang, J. P., & Kurt‐Jones, E. A. (2007) · Reviews in Medical Virology · doi:10.1002/rmv.525 · Cited by 90
Extracellular RNA sensing by pattern recognition receptors
Tatematsu, M., Funami, K., Seya, T., & Matsumoto, M. (2018) · Journal of Innate Immunity · doi:10.1159/000494034 · Cited by 90
TLR9 Contributes to Antiviral Immunity during Gammaherpesvirus Infection
Guggemoos, S., Hangel, D., Hamm, S., Heit, A., Bauer, S., & Adler, H. (2008) · The Journal of Immunology · doi:10.4049/jimmunol.180.1.438 · Cited by 83
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
Interaction of phages, bacteria, and the human immune system: Evolutionary changes in phage therapy
Jariah, R. O. A., & Hakim, M. S. (2019) · Reviews in Medical Virology · doi:10.1002/rmv.2055 · Cited by 40
Metadata
- Authors
- Tabeta, K., Georgel, P., Janssen, E., Du, X., Hoebe, K., Crozat, K., Mudd, S., Shamel, L., Sovath, S., Goode, J., Alexopoulou, L., Flavell, R. A., & Beutler, B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-03
- Volume
- 101
- Issue
- 10
- Pages
- 3516-3521
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2030611349
- Cited by
- 956
- References
- 3
- FWCI
- 32.03
- 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.