The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Efficient scalable production of therapeutic microvesicles derived from human mesenchymal stem cells
Open accessAbstract
Microvesicles (MVs) released by cells are involved in a multitude of physiological events as important mediators of intercellular communication. MVs derived from mesenchymal stem cells (MSCs) contain various paracrine factors from the cells that primarily contribute to their therapeutic efficacy observed in numerous clinical trials. As nano-sized and bi-lipid layered vesicles retaining therapeutic potency equivalent to that of MSCs, MSC-derived MVs have been in focus as ideal medicinal candidates for regenerative medicine, and are preferred over MSC infusion therapy with their improved safety profiles. However, technical challenges in obtaining sufficient amounts of MVs have limited further progress in studies and clinical application. Of the multiple efforts to reinforce the therapeutic capacity of MSCs, few studies have reportedly examined the scale-up of MSC-derived MV production. In this study, we successfully amplified MV secretion from MSCs compared to the conventional culture method using a simple and efficient 3D-bioprocessing method. The MSC-derived MVs produced in our dynamic 3D-culture contained numerous therapeutic factors such as cytokines and micro-RNAs, and showed their therapeutic potency in in vitro efficacy evaluation. Our results may facilitate diverse applications of MSC-derived MVs from the bench to the bedside, which requires the large-scale production of MVs.
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
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
From 3D cell culture to organs-on-chips
Huh, D., Hamilton, G. A., & Ingber, D. E. (2011) · Trends in Cell Biology · doi:10.1016/j.tcb.2011.09.005 · Cited by 1,834
Mesenchymal Stem Cell Homing: The Devil Is in the Details
Karp, J. M., & Leng Teo, G. S. (2009) · Cell Stem Cell · doi:10.1016/j.stem.2009.02.001 · Cited by 1,445
Mesenchymal stem cell exosome: a novel stem cell-based therapy for cardiovascular disease
Lai, R. C., Chen, T. S., & Lim, S. K. (2011) · Regenerative Medicine · doi:10.2217/rme.11.35 · Cited by 553
Mesenchymal Stem Cell-Derived Exosomes Promote Fracture Healing in a Mouse Model
Furuta, T., Miyaki, S., Ishitobi, H., Ogura, T., Kato, Y., Kamei, N., Miyado, K., Higashi, Y., & Ochi, M. (2016) · Stem Cells Translational Medicine · doi:10.5966/sctm.2015-0285 · Cited by 444
Cited by
Strategies for delivering therapeutics across the blood–brain barrier
Terstappen, G. C., Meyer, A. H., Bell, R. D., & Zhang, W. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00139-y · Cited by 1,138
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
Moon, G. J., Sung, J. H., Kim, D. H., Kim, E. H., Cho, Y. H., Son, J. P., Cha, J. M., & Bang, O. Y. (2019) · Translational Stroke Research · doi:10.1007/s12975-018-0668-1 · Cited by 166
Self-citationEngineered Microsystems for Spheroid and Organoid Studies
Kang, S., Kim, D., Lee, J., Takayama, S., & Park, J. Y. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202001284 · Cited by 100
Engineering strategies for customizing extracellular vesicle uptake in a therapeutic context
Esmaeili, A., Alini, M., Baghaban Eslaminejad, M., & Hosseini, S. (2022) · Stem Cell Research & Therapy · doi:10.1186/s13287-022-02806-2 · Cited by 94
Metadata
- Authors
- Cha, J. M., Shin, E. K., Sung, J. H., Moon, G. J., Kim, E. H., Cho, Y. H., Park, H. D., Bae, H., Kim, J., & Bang, O. Y.
- Venue
- Scientific Reports
- Published
- 2018-01-19
- Volume
- 8
- Issue
- 1
- Pages
- 1171-1171
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2783658058
- Cited by
- 166
- References
- 5
- FWCI
- 5.96
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Efficient scalable production of therapeutic microvesicles derived from human mesenchymal stem cells. https://app.cochat.ai/papers/10.1038/s41598-018-19211-6
- The paper
- Cha, J. M., Shin, E. K., Sung, J. H., Moon, G. J., Kim, E. H., Cho, Y. H., Park, H. D., Bae, H., Kim, J., & Bang, O. Y. (2018). Efficient scalable production of therapeutic microvesicles derived from human mesenchymal stem cells. Scientific Reports. https://doi.org/10.1038/s41598-018-19211-6
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.