The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
How C-type lectins detect pathogens: C-type lectins and pathogens
Open accessAbstract
Glycosylation of proteins has proven extremely important in a variety of cellular processes, including enzyme trafficking, tissue homing and immune functions. In the past decade, increasing interest in carbohydrate-mediated mechanisms has led to the identification of novel carbohydrate-recognizing receptors expressed on cells of the immune system. These non-enzymatic lectins contain one or more carbohydrate recognition domains (CRDs) that determine their specificity. In addition to their cell adhesion functions, lectins now also appear to play a major role in pathogen recognition. Depending on their structure and mode of action, lectins are subdivided in several groups. In this review, we focus on the calcium (Ca(2+))-dependent lectin group, known as C-type lectins, with the dendritic cell-specific ICAM-3 grabbing non-integrin (DC-SIGN) as a prototype type II C-type lectin organized in microdomains, and their role as pathogen recognition receptors in sensing microbes. Moreover, the cross-talk of C-type lectins with other receptors, such as Toll-like receptors, will be discussed, highlighting the emerging model that microbial recognition is based on a complex network of interacting receptors.
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
Takeda, K., Kaisho, T., & Akira, S. (2003) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141126 · Cited by 6,143
C-type lectin receptors on dendritic cells and langerhans cells
Figdor, C. G., van Kooyk, Y., & Adema, G. J. (2002) · Nature Reviews Immunology · doi:10.1038/nri723 · Cited by 842
Self-citationvan Die, I. (2003) · Glycobiology · doi:10.1093/glycob/cwg052 · Cited by 316
Cited by
Stuart, L. M., & Ezekowitz, R. A. B. (2005) · Immunity · doi:10.1016/j.immuni.2005.05.002 · Cited by 667
Hu, X., Chakravarty, S. D., & Ivashkiv, L. B. (2008) · Immunological Reviews · doi:10.1111/j.1600-065x.2008.00707.x · Cited by 303
Yáñez, M., Gil-Longo, J., & Campos-Toimil, M. (2012) · Advances in Experimental Medicine and Biology · doi:10.1007/978-94-007-2888-2_19 · Cited by 195
Bitter-sweet symphony: glycan–lectin interactions in virus biology
Van Breedam, W., Pöhlmann, S., Favoreel, H. W., de Groot, R. J., & Nauwynck, H. J. (2014) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12052 · Cited by 141
Carvalho, L., Sun, J., Kane, C., Marshall, F., Krawczyk, C., & Pearce, E. J. (2009) · Immunology · doi:10.1111/j.1365-2567.2008.03008.x · Cited by 85
Metadata
- Authors
- Cambi, A., Koopman, M., & Figdor, C. G.
- Venue
- Cellular Microbiology
- Publisher
- Hindawi Limited
- Published
- 2005-02-28
- Volume
- 7
- Issue
- 4
- Pages
- 481-488
- ISSN
- 1462-5814 (ISSN-L)
- 1462-5822
- OpenAlex
- W2120095412
- Cited by
- 448
- References
- 3
- FWCI
- 11.27
- Type
- journal article
- Language
- en
- Open access
- bronze
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.