The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Characterization of mechanical and biochemical properties of developing embryonic tendon
Open accessAbstract
Tendons have uniquely high tensile strength, critical to their function to transfer force from muscle to bone. When injured, their innate healing response results in aberrant matrix organization and functional properties. Efforts to regenerate tendon are challenged by limited understanding of its normal development. Consequently, there are few known markers to assess tendon formation and parameters to design tissue engineering scaffolds. We profiled mechanical and biological properties of embryonic tendon and demonstrated functional properties of developing tendon are not wholly reflected by protein expression and tissue morphology. Using force volume-atomic force microscopy, we found that nano- and microscale tendon elastic moduli increase nonlinearly and become increasingly spatially heterogeneous during embryonic development. When we analyzed potential biochemical contributors to modulus, we found statistically significant but weak correlation between elastic modulus and collagen content, and no correlation with DNA or glycosaminoglycan content, indicating there are additional contributors to mechanical properties. To investigate collagen cross-linking as a potential contributor, we inhibited lysyl oxidase-mediated collagen cross-linking, which significantly reduced tendon elastic modulus without affecting collagen morphology or DNA, glycosaminoglycan, and collagen content. This suggests that lysyl oxidase-mediated cross-linking plays a significant role in the development of embryonic tendon functional properties and demonstrates that changes in cross-links alter mechanical properties without affecting matrix content and organization. Taken together, these data demonstrate the importance of functional markers to assess tendon development and provide a profile of tenogenic mechanical properties that may be implemented in tissue engineering scaffold design to mechanoregulate new tendon regeneration.
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Cites
Substrate Elasticity Regulates Skeletal Muscle Stem Cell Self-Renewal in Culture
Gilbert, P. M., Havenstrite, K. L., Magnusson, K. E. G., Sacco, A., Leonardi, N. A., Kraft, P., Nguyen, N. K., Thrun, S., Lutolf, M. P., & Blau, H. M. (2010) · Science · doi:10.1126/science.1191035 · Cited by 1,587 · cited 1×
“Physical cues, such as substrate stiffness, are known to direct stem cell lineage commitment and self-renewal (23, 30).”
Background
Cited by
Havis, E., & Duprez, D. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21051664 · Cited by 494
Tendon and ligament regeneration and repair: Clinical relevance and developmental paradigm
Yang, G., Rothrauff, B. B., & Tuan, R. S. (2013) · Birth Defects Research Part C: Embryo Today: Reviews · doi:10.1002/bdrc.21041 · Cited by 469
Cell mechanics: principles, practices, and prospects
Moeendarbary, E., & Harris, A. R. (2014) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1275 · Cited by 342
Quinn, K. P., Sullivan, K. E., Liu, Z., Ballard, Z., Siokatas, C., Georgakoudi, I., & Black, L. D. (2016) · Scientific Reports · doi:10.1038/srep35823 · Cited by 52
Self-citationHill, J. R., Eekhoff, J. D., Brophy, R. H., & Lake, S. P. (2020) · Journal of Orthopaedic Research · doi:10.1002/jor.24695 · Cited by 24
Metadata
- Authors
- Marturano, J. E., Arena, J. D., Schiller, Z. A., Georgakoudi, I., & Kuo, C. K.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-04
- Volume
- 110
- Issue
- 16
- Pages
- 6370-6375
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2118627051
- Cited by
- 186
- References
- 1
- FWCI
- 16.01
- Type
- journal article
- Language
- en
- Open access
- green
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- Marturano, J. E., Arena, J. D., Schiller, Z. A., Georgakoudi, I., & Kuo, C. K. (2013). Characterization of mechanical and biochemical properties of developing embryonic tendon. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1300135110
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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