The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Effects of Initial Seeding Density and Fluid Perfusion Rate on Formation of Tissue-Engineered Bone
Open accessAbstract
We describe a novel bioreactor system for tissue engineering of bone that enables cultivation of up to six tissue constructs simultaneously, with direct perfusion and imaging capability. The bioreactor was used to investigate the relative effects of initial seeding density and medium perfusion rate on the growth and osteogenic differentiation patterns of bone marrow–derived human mesenchymal stem cells (hMSCs) cultured on three-dimensional scaffolds. Fully decellularized bovine trabecular bone was used as a scaffold because it provided suitable “biomimetic” topography, biochemical composition, and mechanical properties for osteogenic differentiation of hMSCs. Trabecular bone plugs were completely denuded of cellular material using a serial treatment with hypotonic buffers and detergents, seeded with hMSCs, and cultured for 5 weeks. Increasing seeding density from 30 × 10 6 cells/mL to 60 × 10 6 cells/mL did not measurably influence the characteristics of tissue-engineered bone, in contrast to an increase in the perfusion rate from 100 μms −1 to 400 μms −1 , which radically improved final cell numbers, cell distributions throughout the constructs, and the amounts of bone proteins and minerals. Taken together, these findings suggest that the rate of medium perfusion during cultivation has a significant effect on the characteristics of engineered bone.
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
Liu, X. S., Sajda, P., Saha, P. K., Wehrli, F. W., & Guo, X. E. (2006) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.060716 · Cited by 207
Cited by
Spiller, K. L., Nassiri, S., Witherel, C. E., Anfang, R. R., Ng, J., Nakazawa, K. R., Yu, T., & Vunjak-Novakovic, G. (2015) · Biomaterials · doi:10.1016/j.biomaterials.2014.10.017 · Cited by 773
Self-citationEngineered Microenvironments for Controlled Stem Cell Differentiation
Burdick, J. A., & Vunjak-Novakovic, G. (2009) · Tissue Engineering Part A · doi:10.1089/ten.tea.2008.0131 · Cited by 485
Self-citationEngineering anatomically shaped human bone grafts
Grayson, W. L., Fröhlich, M., Yeager, K., Bhumiratana, S., Chan, M. E., Cannizzaro, C., Wan, L. Q., Liu, X. S., Guo, X. E., & Vunjak-Novakovic, G. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905439106 · Cited by 425
Self-citationCheng, C. W., Solorio, L. D., & Alsberg, E. (2014) · Biotechnology Advances · doi:10.1016/j.biotechadv.2013.12.012 · Cited by 358
Tissue Engineered Bone Grafts: Biological Requirements, Tissue Culture and Clinical Relevance
Frohlich, M., Grayson, W., Wan, L., Marolt, D., Drobnic, M., & Vunjak- Novakovic, G. (2008) · Current Stem Cell Research & Therapy · doi:10.2174/157488808786733962 · Cited by 342
Self-citation
Metadata
- Authors
- Grayson, W. L., Bhumiratana, S., Cannizzaro, C., Chao, P.-H. G., Lennon, D. P., Caplan, A. I., & Vunjak-Novakovic, G.
- Venue
- Tissue Engineering Part A
- Publisher
- SAGE Publications
- Published
- 2008-07-11
- Volume
- 14
- Issue
- 11
- Pages
- 1809-1820
- ISSN
- 1937-3341 (ISSN-L)
- 1937-335X
- OpenAlex
- W2070921289
- Cited by
- 245
- References
- 1
- FWCI
- 10.23
- 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: Effects of Initial Seeding Density and Fluid Perfusion Rate on Formation of Tissue-Engineered Bone. https://app.cochat.ai/papers/10.1089/ten.tea.2007.0255
- The paper
- Grayson, W. L., Bhumiratana, S., Cannizzaro, C., Chao, P.-H. G., Lennon, D. P., Caplan, A. I., & Vunjak-Novakovic, G. (2008). Effects of Initial Seeding Density and Fluid Perfusion Rate on Formation of Tissue-Engineered Bone. Tissue Engineering Part A. https://doi.org/10.1089/ten.tea.2007.0255
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.