The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Toll-Like Receptor Signaling Pathways
Open accessAbstract
Toll-like receptors (TLRs) play crucial roles in the innate immune system by recognizing pathogen-associated molecular patterns derived from various microbes. TLRs signal through the recruitment of specific adaptor molecules, leading to activation of the transcription factors NF-κB and IRFs, which dictate the outcome of innate immune responses. During the past decade, the precise mechanisms underlying TLR signaling have been clarified by various approaches involving genetic, biochemical, structural, cell biological, and bioinformatics studies. TLR signaling appears to be divergent and to play important roles in many aspects of the innate immune responses to given pathogens. In this review, we describe recent progress in our understanding of TLR signaling regulation and its contributions to host defense.
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Janeway, C. A., & Medzhitov, R. (2002) · Annual Review of Immunology · doi:10.1146/annurev.immunol.20.083001.084359 · Cited by 8,394
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
Self-citationStewart, C. R., Stuart, L. M., Wilkinson, K., van Gils, J. M., Deng, J., Halle, A., Rayner, K. J., Boyer, L., Zhong, R., Frazier, W. A., et al. (2010) · Nature Immunology · doi:10.1038/ni.1836 · Cited by 1,513
Helical Assembly in the MyD88-IRAK4-IRAK2 Complex in TLR/IL-1R Signalling
Lin, S.-C., Lo, Y.-C., & Wu, H. (2010) · Nature · doi:10.1038/nature09121 · Cited by 1,111
TLR13 Recognizes Bacterial 23 S rRNA Devoid of Erythromycin Resistance–Forming Modification
Oldenburg, M., Krüger, A., Ferstl, R., Kaufmann, A., Nees, G., Sigmund, A., Bathke, B., Lauterbach, H., Suter, M., Dreher, S., et al. (2012) · Science · doi:10.1126/science.1220363 · Cited by 405
Henault, J., Martinez, J., Riggs, J. M., Tian, J., Mehta, P., Clarke, L., Sasai, M., Latz, E., Brinkmann, M. M., Iwasaki, A., et al. (2012) · Immunity · doi:10.1016/j.immuni.2012.09.014 · Cited by 348
The E3 ubiquitin ligase Nrdp1 'preferentially' promotes TLR-mediated production of type I interferon
Wang, C., Chen, T., Zhang, J., Yang, M., Li, N., Xu, X., & Cao, X. (2009) · Nature Immunology · doi:10.1038/ni.1742 · Cited by 317
Systematic Discovery of TLR Signaling Components Delineates Viral-Sensing Circuits
Chevrier, N., Mertins, P., Artyomov, M. N., Shalek, A. K., Iannacone, M., Ciaccio, M. F., Gat-Viks, I., Tonti, E., DeGrace, M. M., Clauser, K. R., et al. (2011) · Cell · doi:10.1016/j.cell.2011.10.022 · Cited by 179
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Mechanisms of Cellular Senescence: Cell Cycle Arrest and Senescence Associated Secretory Phenotype
Kumari, R., & Jat, P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.645593 · Cited by 1,622
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Neutrophils to the ROScue: Mechanisms of NADPH oxidase activation and bacterial resistance
Nguyen, G. T., Green, E. R., & Mecsas, J. (2017) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2017.00373 · Cited by 741
Role of Inflammation in Diabetic Retinopathy
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Metadata
- Authors
- Kawasaki, T., & Kawai, T.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2014-09-25
- Volume
- 5
- Pages
- 461-461
- ISSN
- 1664-3224 (ISSN-L)
- OpenAlex
- W2033023829
- Cited by
- 3,233
- References
- 8
- FWCI
- 34.75
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
