The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Impact of Biofluid Viscosity on Size and Sedimentation Efficiency of the Isolated Microvesicles
Open accessAbstract
Microvesicles are nano-sized lipid vesicles released by all cells in vivo and in vitro. They are released physiologically under normal conditions but their rate of release is higher under pathological conditions such as tumors. Once released they end up in the systemic circulation and have been found and characterized in all biofluids such as plasma, serum, cerebrospinal fluid, breast milk, ascites, and urine. Microvesicles represent the status of the donor cell they are released from and they are currently under intense investigation as a potential source for disease biomarkers. Currently, the "gold standard" for isolating microvesicles is ultracentrifugation, although alternative techniques such as affinity purification have been explored. Viscosity is the resistance of a fluid to a deforming force by either shear or tensile stress. The different chemical and molecular compositions of biofluids have an effect on its viscosity and this could affect movements of the particles inside the fluid. In this manuscript we addressed the issue of whether viscosity has an effect on sedimentation efficiency of microvesicles using ultracentrifugation. We used different biofluids and spiked them with polystyrene beads and assessed their recovery using the Nanoparticle Tracking Analysis. We demonstrate that MVs recovery inversely correlates with viscosity and as a result, sample dilutions should be considered prior to ultracentrifugation when processing any biofluids.
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
Yang, M., Chen, J., Su, F., Yu, B., Su, F., Lin, L., Liu, Y., Huang, J.-D., & Song, E. (2011) · Molecular Cancer · doi:10.1186/1476-4598-10-117 · Cited by 693
Cited by
Gurunathan, S., Kang, M.-H., Jeyaraj, M., Qasim, M., & Kim, J.-H. (2019) · Cells · doi:10.3390/cells8040307 · Cited by 1,122
Methodological Guidelines to Study Extracellular Vesicles
Coumans, F. A. W., Brisson, A. R., Buzas, E. I., Dignat-George, F., Drees, E. E. E., El-Andaloussi, S., Emanueli, C., Gasecka, A., Hendrix, A., Hill, A. F., et al. (2017) · Circulation Research · doi:10.1161/circresaha.117.309417 · Cited by 1,017
Livshits, M. A., Khomyakova, E., Evtushenko, E. G., Lazarev, V. N., Kulemin, N. A., Semina, S. E., Generozov, E. V., & Govorun, V. M. (2015) · Scientific Reports · doi:10.1038/srep17319 · Cited by 686
Kalra, H., Adda, C. G., Liem, M., Ang, C., Mechler, A., Simpson, R. J., Hulett, M. D., & Mathivanan, S. (2013) · PROTEOMICS · doi:10.1002/pmic.201300282 · Cited by 622
Current methods for the isolation of extracellular vesicles
Momen-Heravi, F., Balaj, L., Alian, S., Mantel, P.-Y., Halleck, A. E., Trachtenberg, A. J., Soria, C. E., Oquin, S., Bonebreak, C. M., Saracoglu, E., et al. (2013) · bchm · doi:10.1515/hsz-2013-0141 · Cited by 578
Self-citationZarovni, N., Corrado, A., Guazzi, P., Zocco, D., Lari, E., Radano, G., Muhhina, J., Fondelli, C., Gavrilova, J., & Chiesi, A. (2015) · Methods · doi:10.1016/j.ymeth.2015.05.028 · Cited by 532
Modern isolation and separation techniques for extracellular vesicles
Liangsupree, T., Multia, E., & Riekkola, M.-L. (2021) · Journal of Chromatography A · doi:10.1016/j.chroma.2020.461773 · Cited by 512
Extracellular vesicle isolation methods: rising impact of size-exclusion chromatography
Monguió-Tortajada, M., Gálvez-Montón, C., Bayes-Genis, A., Roura, S., & Borràs, F. E. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03071-y · Cited by 438
Erdbrügger, U., Blijdorp, C. J., Bijnsdorp, I. V., Borràs, F. E., Burger, D., Bussolati, B., Byrd, J. B., Clayton, A., Dear, J. W., Falcón‐Pérez, J. M., et al. (2021) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12093 · Cited by 404
Regulation of exosome production and cargo sorting
Wei, H., Chen, Q., Lin, L., Sha, C., Li, T., Liu, Y., Yin, X., Xu, Y., Chen, L., Gao, W., et al. (2021) · International Journal of Biological Sciences · doi:10.7150/ijbs.53671 · Cited by 385
Exosome-mediated delivery of functionally active miRNA-155 inhibitor to macrophages
Momen-Heravi, F., Bala, S., Bukong, T., & Szabo, G. (2014) · Nanomedicine: Nanotechnology, Biology and Medicine · doi:10.1016/j.nano.2014.03.014 · Cited by 306
Self-citationLi, M.-Y., Liu, L.-Z., & Dong, M. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01312-y · Cited by 215
Matrix-Bound Nanovesicles: The Effects of Isolation Method upon Yield, Purity, and Function
Quijano, L. M., Naranjo, J. D., El-Mossier, S. O., Turner, N. J., Pineda Molina, C., Bartolacci, J., Zhang, L., White, L., Li, H., & Badylak, S. F. (2020) · Tissue Engineering Part C: Methods · doi:10.1089/ten.tec.2020.0243 · Cited by 38
Shanthi, K., Fischer, D., Sharma, A., Kiviniemi, A., Kaakinen, M., Vainio, S., & Bart, G. (2023) · Genes · doi:10.3390/genes14040853 · Cited by 5
Metadata
- Authors
- Momen-Heravi, F., Balaj, L., Alian, S., Trachtenberg, A. J., Hochberg, F. H., Skog, J., & Kuo, W. P.
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2012
- Volume
- 3
- Pages
- 162-162
- ISSN
- 1664-042X (ISSN-L)
- OpenAlex
- W2116572568
- Cited by
- 257
- References
- 1
- FWCI
- 5.58
- Type
- journal article
- Language
- en
- Open access
- gold
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.