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Collective transitions from orbiting to matrix invasion in three-dimensional multicellular spheroids

Abstract

Coordinated cell rotation along a curved matrix interface can sculpt epithelial tissues into spherical morphologies. Subsequently, radially oriented invasion of multicellular strands or branches can occur by local remodelling of the confining matrix. These symmetry-breaking transitions emerge from the dynamic reciprocity between cells and matrix but remain poorly understood. Here we show that epithelial cell spheroids collectively transition from circumferential orbiting to radial invasion via bidirectional interactions with the surrounding matrix curvature. Initially, spheroids exhibit an ellipsoidal shape but become rounded as orbiting occurs. In turn, orbiting along sharper curvature results in locally stronger contractile tractions, which gradually align collagen fibres in the radial direction. Thus, the initially elongated morphology primes the matrix towards subsequent invasion of two to four strands that are roughly aligned with its major axis. We then show that orbiting can be arrested and invasion can be reversed using osmotic pressure. We also investigate coordinated orbiting in mosaic spheroids, showing that a small fraction of cells with weakened cell–cell adhesions can impede collective orbiting but still invade into the matrix. This work elucidates how symmetry breaking in tissue morphogenesis is governed by the interplay of collective migration and the local curvature of the cell–matrix interface, with relevance for embryonic development and tumour progression.

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Fig. 1: Multicellular spheroids transition from circumferential orbiting to radial invasion in a 3D matrix.
Fig. 2: Spheroid morphology is initially elongated, rounds during orbiting, then elongates again along the same axis for strand invasion.
Fig. 3: Spheroids exert non-uniform deformations on the surrounding matrix with hotspots along the initial elongation axis.
Fig. 4: Osmotic compression can transiently arrest collective orbiting or reverse matrix invasion.
Fig. 5: Coordinated migration is impeded by increasing fractions of Snail cells mixed with WT cells in mosaic spheroids.
Fig. 6: A self-propelled particle model elucidates interplay of cell–cell and cell–matrix adhesion with boundary geometry.

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Data availability

The experimental data that support the findings of this study are available from the corresponding author upon reasonable request. Source data are provided with this paper. These data are also available via Figshare at https://doi.org/10.6084/m9.figshare.30686246 (ref. 56). Owing to the file size, computational results in Fig. 6 are available via GitHub at https://github.com/carlesfalco/Spheroid-Orbiting-Model/tree/main/Data%20Fig%206%20(model).

Code availability

All code used for the displacement analysis in Figs. 13 and Supplementary Information are available via GitHub at https://github.com/TaeJeong0127/Displacement_Orbiting. All code used for the computational model in Fig. 6 and Supplementary Information are available via GitHub at https://github.com/carlesfalco/Spheroid-Orbiting-Model.

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Acknowledgements

We thank S. E. Leggett, R. E. Baker, J. Notbohm, D. Bhaskar, J. Yang and A. McGhee for helpful conversations, as well as J. S. Brugge and D. A. Haber for the gift of stably transfected MCF-10A cell lines. I.Y.W. and J.A.C. also thank P. Kulesa and P. Maini for catalysing this collaboration. We acknowledge funding from Brown University’s Hibbitt Engineering Postdoctoral Fellowship (J.K.), NIH R01GM140108 (J.K., H.J., A.M.H., A.M., H.Y., S.A.A., M.G. and I.Y.W.), ‘la Caixa’ Foundation Fellowship 100010434 with code LCF/BQ/EU21/11890128 (C. Falcó), EPSRC grant EP/R014604/1 (C. Falcó, W.D.M. and J.A.C.), ERC Horizon 2020 Research and Innovation Program Advanced Grant Non-local-CPD 883363 (W.D.M. and J.A.C.), ONR Panther Award N000142212828 (M.A. and C. Franck), MIT School of Engineering Takeda Fellowship (H.Y.) and ARO W911NF2310385 (I.Y.W.). W.D.M. and J.A.C. also thank the Isaac Newton Institute for Mathematical Sciences, Cambridge, for support and hospitality during the programme ‘Mathematics of movement: an interdisciplinary approach to mutual challenges in animal ecology and cell biology’, where work on this paper was undertaken.

Author information

Authors and Affiliations

Authors

Contributions

I.Y.W. conceived and supervised the project. J.K. and I.Y.W. designed experimental work. J.K., A.M.H. and A.M. performed spheroid experiments. J.K., H.J., M.A., C. Franck and I.Y.W. analysed collective migration and tractions. J.K., H.Y., V.C.F. and M.G. characterized matrix architecture and rheology. S.A.A. contributed cell lines. C. Falcó, W.D.M., J.A.C. and I.Y.W. designed computational and theoretical work. C. Falcó and W.D.M. implemented theoretical model and performed simulations. J.K., H.J., C. Falcó, W.D.M. and I.Y.W. wrote the paper with feedback from all authors.

Corresponding author

Correspondence to Ian Y. Wong.

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Supplementary information

Supplementary Information (download PDF )

Supplementary Figs. 1–31 and Tables 1 and 2.

Reporting Summary (download PDF )

Supplementary Video 1 (download AVI )

Representative video of an orbiting spheroid, corresponding to snapshots in Fig. 1a.

Supplementary Video 2 (download AVI )

Velocity profile corresponding to the snapshots in Fig. 1d,e. Circumferential velocity (left), radial velocity (right).

Supplementary Video 3 (download AVI )

Colour-coded radial deviation and roundness corresponding to the snapshots in Fig. 2a,c. Grey-dotted lines represent the equivalent circle at every time point.

Supplementary Video 4 (download AVI )

Representative visualization of temporal displacement fields of beads and trajectories of cell migration (for 150 min) over time, corresponding to snapshots in Fig. 3a. Quivers indicate the direction of displacement with scaled size, and the colour of each vector indicates the radial components of the displacement vectors. The red–orange colour range indicates the temporal position of trajectories.

Supplementary Video 5 (download AVI )

Representative visualization of cumulative displacement fields of beads and trajectories of cell migration (for 150 min) over time, corresponding to snapshots in Fig. 3b. Quivers indicate the direction of displacement with scaled size, and the colour of each vector indicates the radial components of the displacement vectors. The red–orange colour range indicates the temporal position of trajectories.

Supplementary Video 6 (download AVI )

Representative visualization of cumulative displacement fields for various morphologies of the spheroid over time, corresponding to the results of Supplementary Fig. 7. Quivers indicate the direction of displacement with scaled size, and the colour of each vector indicates the radial components of the displacement vectors. Top left, medium; top right, small; bottom left, large; bottom right, elongated.

Supplementary Video 7 (download AVI )

Representative videos of spheroids under different PEG conditions. 0 → 0% PEG (left), and 0 → 4% PEG (right). Media changed at 48 h.

Supplementary Video 8 (download AVI )

Representative videos of spheroids under different PEG conditions. 4 → 4% PEG (left), and 4 → 0% PEG (right). Media changed at 48 h.

Supplementary Video 9 (download AVI )

Representative video of a 10% Snail mosaic spheroid, corresponding to snapshots in Fig. 5a.

Supplementary Video 10 (download AVI )

Representative video of a 30% Snail mosaic spheroid, corresponding to snapshots in Fig. 5f.

Supplementary Video 11 (download AVI )

Representative video of a GM6001-treated spheroid, corresponding to Supplementary Fig. 15a.

Supplementary Video 12 (download MP4 )

Representative simulations of uncoordinated, global orbiting and peripheral orbiting conditions within a circular domain, corresponding to snapshots in Fig. 6a,b. Adhesive parameters \({f}_{{\rm{a}}}^{{\rm{cc}}}/{F}_{{\rm{c}}},\,{f}_{{\rm{a}}}^{{\rm{cm}}}/{F}_{{\rm{c}}}\), correspond to (0.05,0.45), (0.2,0.2) and (0.2,0.4), respectively.

Supplementary Video 13 (download MP4 )

Representative simulations of one, two or three geometric perturbations of the boundary, corresponding to snapshots in Fig. 6c–f. Boundary perturbation parameters, (h /d, k /d) given from left to right, by (1,1), (1,4) and (2.4,4).

Supplementary Video 14 (download MP4 )

Representative simulations of mosaic populations with varying Snail composition, corresponding to snapshots in Fig. 6g,h. Wildtype (1) and Snail (2) cells adhesive parameters are given by \({f}_{{\rm{a1,1}}}^{{\rm{cc}}}=0.2{F}_{{\rm{c}}},\,{f}_{{\rm{a1,2,}}}^{{\rm{cc}}}{f}_{{\rm{a2,1}}}^{{\rm{cc}}}{f}_{{\rm{a2,2}}}^{{\rm{cc}}}=0,{f}_{{\rm{a1}}}^{{\rm{cm}}}=0.2{F}_{{\rm{c}}}\) and \({f}_{{\rm{a2}}}^{{\rm{cm}}}=0.8{F}_{{\rm{c}}}\).

Source data

Source Data Fig. 1 (download XLSX )

Optical flow results and coordination parameter data.

Source Data Fig. 2 (download XLSX )

Geometrical parameters, rounding times and orbiting time measurements.

Source Data Fig. 3 (download XLSX )

Matrix deformation analysis results (cumulative/temporal) and collagen fibre alignments.

Source Data Fig. 4 (download XLSX )

Projected areas of spheroids under osmotic pressure.

Source Data Fig. 5 (download XLSX )

Optical flow results for mosaic spheroids.

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Kim, J., Jeong, H., Falcó, C. et al. Collective transitions from orbiting to matrix invasion in three-dimensional multicellular spheroids. Nat. Phys. 22, 275–286 (2026). https://doi.org/10.1038/s41567-025-03150-x

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