The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
CLEC18A interacts with sulfated GAGs and controls clear cell renal cell carcinoma progression
Open accessPreprint — published as 10.1111/febs.70236 · Paper page
Abstract
C-type lectins are a large family of proteins with essential functions in both health and disease. In cancer, some C-type lectins have been found to both promote and inhibit tumor growth, but many of the C-type lectins still remain uncharacterised in a tumor context. Therefore, there is growing interst in further elucidating the mechanisms with which C-type lectins control tumor growth. Here, we report a key role of the CLEC18 family of C-type lectins in the progression of clear cell renal cell carcinoma (ccRCC). The CLEC18 family is conserved across the entire Chordata phylum with recent gene duplication events in humans. We found that CLEC18A is exclusively expressed in the proximal tubule of the kidney and the medial habenula of the brain. We further identified sulfated glycosaminoglycans (GAGs) of proteoglycans as the main CLEC18A ligand, making them unique among C-type lectins. In ccRCC patients, high expression of the CLEC18 family lectins in the tumor are associated with improved survival. In mouse models of ccRCC, deletion of the mouse ortholog Clec18a resulted in enhanced tumor growth. Our results establishes CLEC18A as a novel and critical regulators of ccRCC tumor growth and highlights the potential benefit of modulating CLEC18 expression in the renal tumor microenvironment.
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
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1×
“Protein areas were quantified using IMP-apQuant [57] by summing unique and razor peptides and applying intensity-based absolute quantification (iBAQ) [58] with subsequent normalisation based on the MaxLFQ algorithm [59].”
MethodNKG2D Receptor and Its Ligands in Host Defense
Lanier, L. L. (2015) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-15-0098 · Cited by 599 · cited 2×
“5I ) Discussion C-type lectins are known to play essential roles in cancer ranging from recognition of damaged cells and antigen uptake [26, 27], to elimination of cancer cells through MHC I associated stress signals [10].”
Background
Flagged first, then by citations
Research works printed but not linked: 67
- 10.1038/s41577-018-0004-8 · DOI
- 2016, C-type lectin receptors in the control of T helper cell differentiation, Nature Reviews Immunology, 16, 433, 10.1038/nri.2016.55 · DOI
- 10.1007/s00418-016-1523-7 · DOI
- 10.1016/j.sbi.2015.06.003 · DOI
- 10.1074/jbc.M601925200 · DOI
- 1999, Characterization of the mouse collectin gene locus, American journal of respiratory cell and molecular biology, 21, 193, 10.1165/ajrcmb.21.2.3681 · DOI
- 10.1038/nature17403 · DOI
- 10.1038/nm.4314 · DOI
- 2017, C-type lectins facilitate tumor metastasis, Oncology letters, 13, 13, 10.3892/ol.2016.5431 · DOI
- 10.1073/pnas.1617903113 · DOI
- 2015, Dectin-1 regulates hepatic fibrosis and hepatocarcinogenesis by suppressing TLR4 signaling pathways, Cell reports, 13, 1909, 10.1016/j.celrep.2015.10.058 · DOI
- 10.1074/jbc.M115.649814 · DOI
- 2018, The human C-type lectin 18 is a potential biomarker in patients with chronic hepatitis B virus infection, Journal of biomedical science, 25, 1
- 2018, Association of C-type lectin 18 levels with extrahepatic manifestations in chronic HCV infection, Scientific Reports, 8, 17287, 10.1038/s41598-018-35774-w · DOI
- 2021, Endosomal TLR3 co-receptor CLEC18A enhances host immune response to viral infection, Communications Biology, 4, 229, 10.1038/s42003-021-01745-7 · DOI
- 2021, Transgenic expression of human C-type lectin protein CLEC18A reduces dengue virus type 2 infectivity in Aedes aegypti, Frontiers in Immunology, 12, 640367, 10.3389/fimmu.2021.640367 · DOI
- 10.1126/science.aat5031 · DOI
- Evans, R. , et al., Protein complex prediction with AlphaFold-Multimer. biorxiv, 2021: p. 2021.10. 04.463034.
- 2022, ColabFold: making protein folding accessible to all, Nature methods, 19, 679, 10.1038/s41592-022-01488-1 · DOI · Paper page
- 10.1074/jbc.RA119.011639 · DOI
- Li, Q ., The multiple roles of C-type lectin receptors in cancer. Frontiers in Oncology, 2023. 13. · DOI
- 10.1016/j.coi.2014.12.002 · DOI · Paper page
- 10.1038/nature07750 · DOI · Paper page
- 2012, The C-type lectin receptor CLEC9A mediates antigen uptake and (cross-) presentation by human blood BDCA3+ myeloid dendritic cells, Blood, The Journal of the American Society of Hematology, 119, 2284
- 2015, Targeting C-type lectin receptors for cancer immunity, Frontiers in immunology, 6, 146351
- 10.1016/j.it.2013.03.001 · DOI
- 2024, Characterization of the genetic variation and evolutionary divergence of the CLEC18 family, Journal of Biomedical Science, 31, 53, 10.1186/s12929-024-01034-5 · DOI
- 10.1369/0022155419849388 · DOI
- 2017, Heparanase: roles in cell survival, extracellular matrix remodelling and the development of kidney disease, Nature Reviews Nephrology, 13, 201, 10.1038/nrneph.2017.6 · DOI
- 10.1172/JCI32412 · DOI
- 10.1038/s41586-019-1062-1 · DOI · Paper page
- Schulz, G.B. , et al. Prognostic value and association with epithelial-mesenchymal transition and molecular subtypes of the proteoglycan biglycan in advanced bladder cancer. in Urologic Oncology: Seminars and Original Investigations. 2019. Elsevier. · DOI
- 10.1038/s41418-018-0147-y · DOI
- 2021, Evaluation of clear cell, papillary, and chromophobe renal cell carcinoma metastasis sites and association with survival, JAMA network open, 4, e2021869, 10.1001/jamanetworkopen.2020.21869 · DOI
- 10.1093/nar/25.17.3389 · DOI · Paper page
- 10.1093/nar/gkaa1100 · DOI · Paper page
- 10.1093/nar/gkx1095 · DOI
- 10.1093/bib/bbn013 · DOI
- 10.1093/molbev/msaa015 · DOI · Paper page
- 2017, ModelFinder: fast model selection for accurate phylogenetic estimates, Nature methods, 14, 587, 10.1038/nmeth.4285 · DOI · Paper page
- 10.1093/molbev/msx281 · DOI · Paper page
- 10.1093/sysbio/syq010 · DOI · Paper page
- 10.1093/NAR/GKAB301 · DOI
- 10.1093/bioinformatics/9.6.745 · DOI
- 10.1093/nar/gkab408 · DOI
- 10.1093/molbev/msp259 · DOI
- 10.1093/NAR/GKAB1061 · DOI · Paper page
- 10.1002/PRO.3943 · DOI
- Biology, C.S.-C. , et al., CZ CELLxGENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data. bioRxiv, 2023: p. 2023.10.30.563174.
- Megill, C. , et al., Cellxgene: a performant, scalable exploration platform for high dimensional sparse matrices. bioRxiv, 2021: p. 2021.04. 05.438318. · DOI
- 2024, Dictionary learning for integrative, multimodal and scalable single-cell analysis, Nature biotechnology, 42, 293, 10.1038/s41587-023-01767-y · DOI · Paper page
- 2021, Identification of lectin receptors for conserved SARS-CoV-2 glycosylation sites, The EMBO Journal, 40, e108375, 10.15252/embj.2021108375 · DOI
- 2018, apQuant: accurate label-free quantification by quality filtering, Journal of Proteome Research, 18, 535
- 2014, Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ, Molecular & cellular proteomics, 13, 2513, 10.1074/mcp.M113.031591 · DOI · Paper page
- 10.1073/pnas.2026684118 · DOI
- 10.1126/science.aar2131 · DOI · Paper page
- Uhlén, M. , et al., Tissue-based map of the human proteome. Science, 2015. 347(6220): p. 1260419. · DOI
- 10.1126/scitranslmed.abc0170 · DOI
- 10.1371/journal.pone.0010696 · DOI
- 10.1038/ng.2699 · DOI
- 2022, A targetable myeloid inflammatory state governs disease recurrence in clear-cell renal cell carcinoma, Cancer Discov, 12, 2308, 10.1158/2159-8290.CD-21-0925 · DOI
- 2023, Recurrent repeat expansions in human cancer genomes, Nature, 613, 96, 10.1038/s41586-022-05515-1 · DOI
- 10.1126/scisignal.2004088 · DOI · Paper page
- 10.1371/journal.pone.0004927 · DOI
- 10.1093/nar/gkz365 · DOI
- 2013, Genome engineering using the CRISPR-Cas9 system, Nature protocols, 8, 2281, 10.1038/nprot.2013.143 · DOI · Paper page
- 10.1093/nar/gku936 · DOI · Paper page
Metadata
- Authors
- Jonsson, G., Hofmann, M., Mereiter, S., Hartley-Tassell, L., Sakic, I., Oliveira, T., Hoffmann, D., Novatchkova, M., Schleiffer, A., & Penninger, J. M.
- Affiliations
- Institute of Molecular Biotechnology (AT)
- Corresponding author
- Jonsson, Gustav
- Penninger, Josef M.
- ORCID
- Venue
- FEBS Journal
- Publisher
- openRxiv
- Published
- 2024-07-10
- Volume
- 293
- Issue
- 3
- Pages
- 709-728
- ISSN
- 1742-464X (ISSN-L)
- PMC
- PMC12871919
- OpenAlex
- W4413471203
- Cited by
- 1
- References
- 3
- Citations by year
- 2025: 1
- FWCI
- 0.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- FEBS Journal (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Fundació la Marató de TV3 (202125-31)
- European Commission (841319, HORIZON2020)
- Canada Research Chairs (F18‐01336)
- Österreichischen Akademie der Wissenschaften
- Bundesministerium für Bildung und Forschung (01KX2324)
- Austrian Science Fund (ESP 166)
- Universität Wien
- Medizinische Universität Wien
- T. Von Zastrow Foundation
- H2020 Marie Skłodowska-Curie Actions (841319)
- Topics
- Health Sciences › Medicine › Oncology › Renal cell carcinoma treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glycosylation and Glycoproteins Research
- Life Sciences › Immunology and Microbiology › Immunology › Galectins and Cancer Biology
- Keywords
- C-type lectin, clear cell renal cell carcinoma, sulfated glycosaminoglycans, tumor progression, tumor microenvironment, proximal tubule, medial habenula, gene duplication, tumor growth, patient survival
- MeSH terms
- Animals, Carcinoma, Renal Cell, Glycosaminoglycans, Humans, Kidney Neoplasms, Gene Expression Regulation, Neoplastic, Disease Progression, Lectins, C-Type, Cell Line, Tumor, Mice
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