The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Glass-like dynamics of collective cell migration
Open accessAbstract
Collective cell migration in tissues occurs throughout embryonic development, during wound healing, and in cancerous tumor invasion, yet most detailed knowledge of cell migration comes from single-cell studies. As single cells migrate, the shape of the cell body fluctuates dramatically through cyclic processes of extension, adhesion, and retraction, accompanied by erratic changes in migration direction. Within confluent cell layers, such subcellular motions must be coupled between neighbors, yet the influence of these subcellular motions on collective migration is not known. Here we study motion within a confluent epithelial cell sheet, simultaneously measuring collective migration and subcellular motions, covering a broad range of length scales, time scales, and cell densities. At large length scales and time scales collective migration slows as cell density rises, yet the fastest cells move in large, multicell groups whose scale grows with increasing cell density. This behavior has an intriguing analogy to dynamic heterogeneities found in particulate systems as they become more crowded and approach a glass transition. In addition we find a diminishing self-diffusivity of short-wavelength motions within the cell layer, and growing peaks in the vibrational density of states associated with cooperative cell-shape fluctuations. Both of these observations are also intriguingly reminiscent of a glass transition. Thus, these results provide a broad and suggestive analogy between cell motion within a confluent layer and the dynamics of supercooled colloidal and molecular fluids approaching a glass transition.
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
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
Cited by
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
Collective and single cell behavior in epithelial contact inhibition
Puliafito, A., Hufnagel, L., Neveu, P., Streichan, S., Sigal, A., Fygenson, D. K., & Shraiman, B. I. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007809109 · Cited by 438
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
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
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
Metadata
- Authors
- Angelini, T. E., Hannezo, E., Trepat, X., Marquez, M., Fredberg, J. J., & Weitz, D. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2011-02-14
- Volume
- 108
- Issue
- 12
- Pages
- 4714-4719
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2091389429
- Cited by
- 749
- References
- 1
- FWCI
- 12.66
- 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: Glass-like dynamics of collective cell migration. https://app.cochat.ai/papers/10.1073/pnas.1010059108
- The paper
- Angelini, T. E., Hannezo, E., Trepat, X., Marquez, M., Fredberg, J. J., & Weitz, D. A. (2011). Glass-like dynamics of collective cell migration. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1010059108
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.