The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.
Substrate curvature as a cue to guide spatiotemporal cell and tissue organization
Open accessAbstract
Recent evidence clearly shows that cells respond to various physical cues in their environments, guiding many cellular processes and tissue morphogenesis, pathology, and repair. One aspect that is gaining significant traction is the role of local geometry as an extracellular cue. Elucidating how geometry affects cell and tissue behavior is, indeed, crucial to design artificial scaffolds and understand tissue growth and remodeling. Perhaps the most fundamental descriptor of local geometry is surface curvature, and a growing body of evidence confirms that surface curvature affects the spatiotemporal organization of cells and tissues. While well-defined in differential geometry, curvature remains somewhat ambiguously treated in biological studies. Here, we provide a more formal curvature framework, based on the notions of mean and Gaussian curvature, and summarize the available evidence on curvature guidance at the cell and tissue levels. We discuss the involved mechanisms, highlighting the interplay between tensile forces and substrate curvature that forms the foundation of curvature guidance. Moreover, we show that relatively simple computational models, based on some application of curvature flow, are able to capture experimental tissue growth remarkably well. Since curvature guidance principles could be leveraged for tissue regeneration, the implications for geometrical scaffold design are also discussed. Finally, perspectives on future research opportunities are provided.
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
Matrix elasticity directs stem cell lineage specification
Engler, A. J., Sen, S., Sweeney, H. L., & Discher, D. E. (2006) · Cell · doi:10.1016/j.cell.2006.06.044 · Cited by 13,915
Timoshenko, S. P., & Woinowsky-Krieger, S. (1959) · UCLA Biblioteca de Ingenieria Civil · Cited by 12,112
Epithelial-Mesenchymal Transitions in Development and Disease
Thiery, J. P., Acloque, H., Huang, R. Y. J., & Nieto, M. A. (2009) · Cell · doi:10.1016/j.cell.2009.11.007 · Cited by 9,931
Tissue Cells Feel and Respond to the Stiffness of Their Substrate
Discher, D. E., Janmey, P., & Wang, Y.-L. (2005) · Science · doi:10.1126/science.1116995 · Cited by 6,382
Cell Migration: Integrating Signals from Front to Back
Ridley, A. J., Schwartz, M. A., Burridge, K., Firtel, R. A., Ginsberg, M. H., Borisy, G., Parsons, J. T., & Horwitz, A. R. (2003) · Science · doi:10.1126/science.1092053 · Cited by 4,978
Ridley, A. J., & Hall, A. (1992) · Cell · doi:10.1016/0092-8674(92)90163-7 · Cited by 4,468
Etienne-Manneville, S., & Hall, A. (2002) · Nature · doi:10.1038/nature01148 · Cited by 4,201
Cell Shape, Cytoskeletal Tension, and RhoA Regulate Stem Cell Lineage Commitment
McBeath, R., Pirone, D. M., Nelson, C. M., Bhadriraju, K., & Chen, C. S. (2004) · Developmental Cell · doi:10.1016/s1534-5807(04)00075-9 · Cited by 4,180
Thompson, D. W. (2019) · Stripped Bare · doi:10.1515/9780691183978-018 · Cited by 4,177
Cell Migration: A Physically Integrated Molecular Process
Lauffenburger, D. A., & Horwitz, A. F. (1996) · Cell · doi:10.1016/s0092-8674(00)81280-5 · Cited by 3,915
Cited by
Design, printing, and engineering of regenerative biomaterials for personalized bone healthcare
Jia, Z., Xu, X., Zhu, D., & Zheng, Y. (2023) · Progress in Materials Science · doi:10.1016/j.pmatsci.2023.101072 · Cited by 176
Biomaterial-based physical regulation of macrophage behaviour
Zhou, H., Xue, Y., Dong, L., & Wang, C. (2021) · Journal of Materials Chemistry B · doi:10.1039/d1tb00107h · Cited by 47
Metadata
- Authors
- Callens, S. J. P., Uyttendaele, R. J. C., Fratila-Apachitei, L. E., & Zadpoor, A. A.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 232
- Pages
- 119739
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W2997274320
- Cited by
- 323
- References
- 194
- FWCI
- 13.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Substrate curvature as a cue to guide spatiotemporal cell and tissue organization. https://app.cochat.ai/papers/10.1016/j.biomaterials.2019.119739
- The paper
- Callens, S. J. P., Uyttendaele, R. J. C., Fratila-Apachitei, L. E., & Zadpoor, A. A. (2020). Substrate curvature as a cue to guide spatiotemporal cell and tissue organization. Biomaterials. https://doi.org/10.1016/j.biomaterials.2019.119739
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.