The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Lipid rafts: signaling and sorting platforms of cells and their roles in cancer
Open accessAbstract
Lipid rafts are defined as microdomains within the lipid bilayer of cellular membranes that assemble subsets of transmembrane or glycosylphosphatidylinisotol-anchored proteins and lipids (cholesterol and sphingolipids) and experimentally resist extraction in cold detergent (detergent-resistant membrane). These highly dynamic raft domains are essential in signaling processes and also form sorting platforms for targeted protein traffic. Lipid rafts are involved in protein endocytosis that occurs via caveolae or flotillin-dependent pathways. Non-constitutive protein components of rafts fluctuate dramatically in cancer with impacts on cell proliferation, signaling, protein trafficking, adhesion and apoptosis. This article focuses on the identification of candidate cancer-associated biomarkers in carcinoma cells using state-of-the-art proteomics.
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
1 retracted
Duxbury, M. S., Ito, H., Ashley, S. W., & Whang, E. E. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m402051200 · Cited by 55
RetractedLipid rafts as a membrane-organizing principle
Lingwood, D., & Simons, K. (2010) · Science · doi:10.1126/science.1174621 · Cited by 4,417
Current two‐dimensional electrophoresis technology for proteomics
Görg, A., Weiss, W., & Dunn, M. J. (2004) · PROTEOMICS · doi:10.1002/pmic.200401031 · Cited by 1,822
Heat shock proteins in cancer: diagnostic, prognostic, predictive, and treatment implications
Ciocca, D. R., & Calderwood, S. K. (2005) · Cell Stress & Chaperones · doi:10.1379/csc-99r.1 · Cited by 1,404
Exosomes: proteomic insights and diagnostic potential
Simpson, R. J., Lim, J. W., Moritz, R. L., & Mathivanan, S. (2009) · Expert Review of Proteomics · doi:10.1586/epr.09.17 · Cited by 1,108
Functional and quantitative proteomics using SILAC
Mann, M. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2067 · Cited by 931
Negative regulation of T-cell activation and autoimmunity by Mgat5 N-glycosylation
Demetriou, M., Granovsky, M., Quaggin, S., & Dennis, J. W. (2001) · Nature · doi:10.1038/35055582 · Cited by 901
Unbiased quantitative proteomics of lipid rafts reveals high specificity for signaling factors
Foster, L. J., de Hoog, C. L., & Mann, M. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0631608100 · Cited by 834
Regulation of Cytokine Receptors by Golgi N-Glycan Processing and Endocytosis
Partridge, E. A., Le Roy, C., Di Guglielmo, G. M., Pawling, J., Cheung, P., Granovsky, M., Nabi, I. R., Wrana, J. L., & Dennis, J. W. (2004) · Science · doi:10.1126/science.1102109 · Cited by 735
Wary, K. K., Mariotti, A., Zurzolo, C., & Giancotti, F. G. (1998) · Cell · doi:10.1016/s0092-8674(00)81604-9 · Cited by 718
Cited by
Guillaumond, F., Bidaut, G., Ouaissi, M., Servais, S., Gouirand, V., Olivares, O., Lac, S., Borge, L., Roques, J., Gayet, O., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421601112 · Cited by 454
Ventura, R., Mordec, K., Waszczuk, J., Wang, Z., Lai, J., Fridlib, M., Buckley, D., Kemble, G., & Heuer, T. S. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.06.020 · Cited by 301
Piskunov, A., & Rochette-Egly, C. (2012) · Oncogene · doi:10.1038/onc.2011.499 · Cited by 95
Duranti, C., Iorio, J., Manganelli, V., Bagni, G., Colasurdo, R., Lottini, T., Martinelli, M., Capitani, C., Boso, G., D’Alessandro, F. N., et al. (2025) · Cell Death Discovery · doi:10.1038/s41420-025-02321-2 · Cited by 8
“…activated) or FN. Blots were decorated with the hERG1-polyAb as well as with antibodies directed to caveolin-1 and fl otillin-1, as markers of LRs [44, 45]. hERG1, caveolin-1 and fl otillin-1 were present only in the IPs obtained from HEK-hERG1 cells at T 90 on FN, but not in HEK-hERG1 cells…”
Metadata
- Authors
- Staubach, S., & Hanisch, F.-G.
- Venue
- Expert Review of Proteomics
- Publisher
- Informa UK Limited
- Published
- 2011-04
- Volume
- 8
- Issue
- 2
- Pages
- 263-277
- ISSN
- 1478-9450 (ISSN-L)
- 1744-8387
- OpenAlex
- W2145842550
- Cited by
- 284
- References
- 102
- FWCI
- 11.29
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lipid rafts: signaling and sorting platforms of cells and their roles in cancer. https://app.cochat.ai/papers/10.1586/epr.11.2
- The paper
- Staubach, S., & Hanisch, F.-G. (2011). Lipid rafts: signaling and sorting platforms of cells and their roles in cancer. Expert Review of Proteomics. https://doi.org/10.1586/epr.11.2
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.