The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Motility-Driven Glass and Jamming Transitions in Biological Tissues
Open accessAbstract
Cell motion inside dense tissues governs many biological processes, including embryonic development and cancer metastasis, and recent experiments suggest that these tissues exhibit collective glassy behavior. To make quantitative predictions about glass transitions in tissues, we study a self-propelled Voronoi (SPV) model that simultaneously captures polarized cell motility and multi-body cell-cell interactions in a confluent tissue, where there are no gaps between cells. We demonstrate that the model exhibits a jamming transition from a solid-like state to a fluid-like state that is controlled by three parameters: the single-cell motile speed, the persistence time of single-cell tracks, and a target shape index that characterizes the competition between cell-cell adhesion and cortical tension. In contrast to traditional particulate glasses, we are able to identify an experimentally accessible structural order parameter that specifies the entire jamming surface as a function of model parameters. We demonstrate that a continuum Soft Glassy Rheology model precisely captures this transition in the limit of small persistence times, and explain how it fails in the limit of large persistence times. These results provide a framework for understanding the collective solid-to-liquid transitions that have been observed in embryonic development and cancer progression, which may be associated with Epithelial-to-Mesenchymal transition in these tissues.
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
A density-independent rigidity transition in biological tissues
Bi, D., Lopez, J. H., Schwarz, J. M., & Manning, M. L. (2015) · Nature Physics · doi:10.1038/nphys3471 · Cited by 801
Self-citation
Cited by
Cell–cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion
Ilina, O., Gritsenko, P. G., Syga, S., Lippoldt, J., La Porta, C. A. M., Chepizhko, O., Grosser, S., Vullings, M., Bakker, G.-J., Starruß, J., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0552-6 · Cited by 375
Mechanisms and impact of altered tumour mechanics
Mohammadi, H., & Sahai, E. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0131-2 · Cited by 336
Endocytic reawakening of motility in jammed epithelia
Malinverno, C., Corallino, S., Giavazzi, F., Bergert, M., Li, Q., Leoni, M., Disanza, A., Frittoli, E., Oldani, A., Martini, E., et al. (2017) · Nature Materials · doi:10.1038/nmat4848 · Cited by 308
Rigidity percolation uncovers a structural basis for embryonic tissue phase transitions
Petridou, N. I., Corominas-Murtra, B., Heisenberg, C.-P., & Hannezo, E. (2021) · Cell · doi:10.1016/j.cell.2021.02.017 · Cited by 222
Endocytosis in the context-dependent regulation of individual and collective cell properties
Sigismund, S., Lanzetti, L., Scita, G., & Di Fiore, P. P. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00375-5 · Cited by 132
Metadata
- Authors
- Bi, D., Yang, X., Marchetti, M. C., & Manning, M. L.
- Venue
- Physical Review X
- Publisher
- American Physical Society (APS)
- Published
- 2016-04-21
- Volume
- 6
- Issue
- 2
- ISSN
- 2160-3308 (ISSN-L)
- OpenAlex
- W2218510376
- Cited by
- 677
- References
- 1
- FWCI
- 28.36
- 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: Motility-Driven Glass and Jamming Transitions in Biological Tissues. https://app.cochat.ai/papers/10.1103/physrevx.6.021011
- The paper
- Bi, D., Yang, X., Marchetti, M. C., & Manning, M. L. (2016). Motility-Driven Glass and Jamming Transitions in Biological Tissues. Physical Review X. https://doi.org/10.1103/physrevx.6.021011
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.