The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Quantitative Nanostructural and Single-Molecule Force Spectroscopy Biomolecular Analysis of Human-Saliva-Derived Exosomes
Open accessAbstract
Exosomes are naturally occurring nanoparticles with unique structure, surface biochemistry, and mechanical characteristics. These distinct nanometer-sized bioparticles are secreted from the surfaces of oral epithelial cells into saliva and are of interest as oral-cancer biomarkers. We use high- resolution AFM to show single-vesicle quantitative differences between exosomes derived from normal and oral cancer patient's saliva. Compared to normal exosomes (circular, 67.4 ± 2.9 nm), our findings indicate that cancer exosome populations are significantly increased in saliva and display irregular morphologies, increased vesicle size (98.3 ± 4.6 nm), and higher intervesicular aggregation. At the single-vesicle level, cancer exosomes exhibit significantly (P < 0.05) increased CD63 surface densities. To our knowledge, it represents the first report detecting single-exosome surface protein variations. Additionally, high-resolution AFM imaging of cancer saliva samples revealed discrete multivesicular bodies with intraluminal exosomes enclosed. We discuss the use of quantitative, nanoscale ultrastructural and surface biomolecular analysis of saliva exosomes at single-vesicle- and single-protein-level sensitivities as a potentially new oral cancer diagnostic.
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
Isolation and Characterization of Exosomes from Cell Culture Supernatants and Biological Fluids
Théry, C., Amigorena, S., Raposo, G., & Clayton, A. (2006) · Current Protocols in Cell Biology · doi:10.1002/0471143030.cb0322s30 · Cited by 5,766
Biomechanics and biophysics of cancer cells☆
SURESH, S. (2007) · Acta Biomaterialia · doi:10.1016/j.actbio.2007.04.002 · Cited by 1,284
Trafficking and function of the tetraspanin CD63
Pols, M. S., & Klumperman, J. (2009) · Experimental Cell Research · doi:10.1016/j.yexcr.2008.09.020 · Cited by 745
García, J. M., García, V., Peña, C., Domínguez, G., Silva, J., Diaz, R., Espinosa, P., Citores, M. J., Collado, M., & Bonilla, F. (2008) · RNA · doi:10.1261/rna.755908 · Cited by 86
Cited by
Biogenesis, Secretion, and Intercellular Interactions of Exosomes and Other Extracellular Vesicles
Colombo, M., Raposo, G., & Théry, C. (2014) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-101512-122326 · Cited by 6,186
Welsh, J. A., Goberdhan, D. C. I., O'Driscoll, L., Buzas, E. I., Blenkiron, C., Bussolati, B., Cai, H., Di Vizio, D., Driedonks, T. A. P., Erdbrügger, U., et al. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12404 · Cited by 4,663
Exosomes as a new frontier of cancer liquid biopsy
Yu, D., Li, Y., Wang, M., Gu, J., Xu, W., Cai, H., Fang, X., & Zhang, X. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01509-9 · Cited by 855
Imaging extracellular vesicles: current and emerging methods
Chuo, S. T.-Y., Chien, J. C.-Y., & Lai, C. P.-K. (2018) · Journal of Biomedical Science · doi:10.1186/s12929-018-0494-5 · Cited by 359
Digital Detection of Exosomes by Interferometric Imaging
Daaboul, G. G., Gagni, P., Benussi, L., Bettotti, P., Ciani, M., Cretich, M., Freedman, D. S., Ghidoni, R., Ozkumur, A. Y., Piotto, C., et al. (2016) · Scientific Reports · doi:10.1038/srep37246 · Cited by 292
Metadata
- Authors
- Sharma, S., Gillespie, B. M., Palanisamy, V., & Gimzewski, J. K.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-11-09
- Volume
- 27
- Issue
- 23
- Pages
- 14394-14400
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2092815737
- Cited by
- 215
- References
- 4
- FWCI
- 1.88
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantitative Nanostructural and Single-Molecule Force Spectroscopy Biomolecular Analysis of Human-Saliva-Derived Exosomes. https://app.cochat.ai/papers/10.1021/la2038763
- The paper
- Sharma, S., Gillespie, B. M., Palanisamy, V., & Gimzewski, J. K. (2011). Quantitative Nanostructural and Single-Molecule Force Spectroscopy Biomolecular Analysis of Human-Saliva-Derived Exosomes. Langmuir. https://doi.org/10.1021/la2038763
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.