The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Comparative Analysis of Human Mesenchymal Stem Cells from Bone Marrow, Adipose Tissue, and Umbilical Cord Blood as Sources of Cell Therapy
Open accessAbstract
Various source-derived mesenchymal stem cells (MSCs) have been considered for cell therapeutics in incurable diseases. To characterize MSCs from different sources, we compared human bone marrow (BM), adipose tissue (AT), and umbilical cord blood-derived MSCs (UCB-MSCs) for surface antigen expression, differentiation ability, proliferation capacity, clonality, tolerance for aging, and paracrine activity. Although MSCs from different tissues have similar levels of surface antigen expression, immunosuppressive activity, and differentiation ability, UCB-MSCs had the highest rate of cell proliferation and clonality, and significantly lower expression of p53, p21, and p16, well known markers of senescence. Since paracrine action is the main action of MSCs, we examined the anti-inflammatory activity of each MSC under lipopolysaccharide (LPS)-induced inflammation. Co-culture of UCB-MSCs with LPS-treated rat alveolar macrophage, reduced expression of inflammatory cytokines including interleukin-1α (IL-1α), IL-6, and IL-8 via angiopoietin-1 (Ang-1). Using recombinant Ang-1 as potential soluble paracrine factor or its small interference RNA (siRNA), we found that Ang-1 secretion was responsible for this beneficial effect in part by preventing inflammation. Our results demonstrate that primitive UCB-MSCs have biological advantages in comparison to adult sources, making UCB-MSCs a useful model for clinical applications of cell therapy.
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
Dominici, M., Le Blanc, K., Mueller, I., Slaper-Cortenbach, I., Marini, F. C., Krause, D. S., Deans, R. J., Keating, A., Prockop, D. J., & Horwitz, E. M. (2006) · Cytotherapy · doi:10.1080/14653240600855905 · Cited by 17,766
Kern, S., Eichler, H., Stoeve, J., Klüter, H., & Bieback, K. (2006) · STEM CELLS · doi:10.1634/stemcells.2005-0342 · Cited by 3,370
Mesenchymal stem cells as trophic mediators
Caplan, A. I., & Dennis, J. E. (2006) · Journal of Cellular Biochemistry · doi:10.1002/jcb.20886 · Cited by 2,992
Herbig, U., Jobling, W. A., Chen, B. P. C., Chen, D. J., & Sedivy, J. M. (2004) · Molecular Cell · doi:10.1016/s1097-2765(04)00256-4 · Cited by 1,344 · cited 1×
“In addition, senescence can be trigged by p53 and its downstream target p21, followed by activation of p16 [26,27].”
Zaim, M., Karaman, S., Cetin, G., & Isik, S. (2012) · Annals of Hematology · doi:10.1007/s00277-012-1438-x · Cited by 294 · cited 1×
“[31].”
Cited by
Mesenchymal Stem Cells for Regenerative Medicine
Han, Y., Li, X., Zhang, Y., Han, Y., Chang, F., & Ding, J. (2019) · Cells · doi:10.3390/cells8080886 · Cited by 1,093
Mazini, L., Rochette, L., Amine, M., & Malka, G. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102523 · Cited by 445
Li, C.-Y., Wu, X.-Y., Tong, J.-B., Yang, X.-X., Zhao, J.-L., Zheng, Q.-F., Zhao, G.-B., & Ma, Z.-J. (2015) · Stem Cell Research & Therapy · doi:10.1186/s13287-015-0066-5 · Cited by 410
Hu, Y., Tao, R., Chen, L., Xiong, Y., Xue, H., Hu, L., Yan, C., Xie, X., Lin, Z., Panayi, A. C., et al. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-00894-5 · Cited by 328
Mattar, P., & Bieback, K. (2015) · Frontiers in Immunology · doi:10.3389/fimmu.2015.00560 · Cited by 300
Metadata
- Authors
- Jin, H., Bae, Y., Kim, M., Kwon, S.-J., Jeon, H., Choi, S., Kim, S., Yang, Y., Oh, W., & Chang, J.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2013-09-03
- Volume
- 14
- Issue
- 9
- Pages
- 17986-18001
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2156509094
- Cited by
- 663
- References
- 5
- FWCI
- 16.42
- 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: Comparative Analysis of Human Mesenchymal Stem Cells from Bone Marrow, Adipose Tissue, and Umbilical Cord Blood as Sources of Cell Therapy. https://app.cochat.ai/papers/10.3390/ijms140917986
- The paper
- Jin, H., Bae, Y., Kim, M., Kwon, S.-J., Jeon, H., Choi, S., Kim, S., Yang, Y., Oh, W., & Chang, J. (2013). Comparative Analysis of Human Mesenchymal Stem Cells from Bone Marrow, Adipose Tissue, and Umbilical Cord Blood as Sources of Cell Therapy. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms140917986
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.
