Cell migration guided by long-lived spatial memory.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
05 07 2021
Historique:
received: 12 01 2021
accepted: 08 06 2021
entrez: 6 7 2021
pubmed: 7 7 2021
medline: 27 7 2021
Statut: epublish

Résumé

Living cells actively migrate in their environment to perform key biological functions-from unicellular organisms looking for food to single cells such as fibroblasts, leukocytes or cancer cells that can shape, patrol or invade tissues. Cell migration results from complex intracellular processes that enable cell self-propulsion, and has been shown to also integrate various chemical or physical extracellular signals. While it is established that cells can modify their environment by depositing biochemical signals or mechanically remodelling the extracellular matrix, the impact of such self-induced environmental perturbations on cell trajectories at various scales remains unexplored. Here, we show that cells can retrieve their path: by confining motile cells on 1D and 2D micropatterned surfaces, we demonstrate that they leave long-lived physicochemical footprints along their way, which determine their future path. On this basis, we argue that cell trajectories belong to the general class of self-interacting random walks, and show that self-interactions can rule large scale exploration by inducing long-lived ageing, subdiffusion and anomalous first-passage statistics. Altogether, our joint experimental and theoretical approach points to a generic coupling between motile cells and their environment, which endows cells with a spatial memory of their path and can dramatically change their space exploration.

Identifiants

pubmed: 34226542
doi: 10.1038/s41467-021-24249-8
pii: 10.1038/s41467-021-24249-8
pmc: PMC8257581
doi:

Substances chimiques

RNA, Small Interfering 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4118

Références

Ladoux, B. & Mège, R. M. Mechanobiology of collective cell behaviours. Nat. Rev. Mol. Cell Biol. 18, 743–757 (2017).
Charras, G. & Sahai, E. Physical influences of the extracellular environment on cell migration. Nat. Rev. Mol. Cell Biol. 15, 813–824 (2014).
pubmed: 25355506 doi: 10.1038/nrm3897
Ladoux, B., Mège, R. M. & Trepat, X. Front-rear polarization by mechanical cues: from single cells to tissues. Trends Cell Biol. 26, 420–433 (2016).
pubmed: 26920934 pmcid: 5421599 doi: 10.1016/j.tcb.2016.02.002
Parsons, J. T., Horwitz, A. R. & Schwartz, M. A. Cell adhesion: integrating cytoskeletal dynamics and cellular tension. Nat. Rev. Mol. Cell Biol. 11, 633–643 (2010).
pubmed: 20729930 pmcid: 2992881 doi: 10.1038/nrm2957
Selmeczi, D. et al. Cell motility as persistent random motion: theories from experiments. Biophys. J. 89, 912–931 (2005).
pubmed: 15951372 pmcid: 1366641 doi: 10.1529/biophysj.105.061150
Boedeker, H. U., Beta, C., Frank, T. D. & Bodenschatz, E. Quantitative analysis of random amoeboid motion. EPL 90, 28005 (2005).
doi: 10.1209/0295-5075/90/28005
Li, L., Cox, E. C. & Flyvbjerg, H. Dicty dynamics’: Dictyostelium motility as persistent random motion. Phys. Biol. 8, 046006 (2011).
pubmed: 21610290 pmcid: 3148805 doi: 10.1088/1478-3975/8/4/046006
Brückner, D. et al. Stochastic nonlinear dynamics of confined cell migration in two-state systems. Nat. Phys. 15, 591–601 (2019).
Bosgraaf, L. & Van Haastert, P. J. M. The ordered extension of pseudopodia by amoeboid cells in the absence of external cues. PLoS ONE 4, 4 (2009).
doi: 10.1371/journal.pone.0005253
Maiuri, P. et al. Actin flows mediate a universal coupling between cell speed and cell persistence. Cell 161, 374–386 (2015).
pubmed: 25799384 doi: 10.1016/j.cell.2015.01.056
Callan-Jones, A. & Voituriez, R. Actin flows in cell migration: from locomotion and polarity to trajectories. Curr. Opin. Cell Biol. 38, 12–17 (2016).
pubmed: 26827283 doi: 10.1016/j.ceb.2016.01.003
Bagorda, A. & Parent, C. A. Eukaryotic chemotaxis at a glance. J. Cell Sci. 121, 2621–2624 (2008).
pubmed: 18685153 doi: 10.1242/jcs.018077
A, N., S, I., Imoto, D. & Sawai, S. Rectified directional sensing in long-range cell migration. Nat. Commun. 5, 5367 (2014).
doi: 10.1038/ncomms6367
Lo, C.-M., Wang, H.-B., Dembo, M. & Wang, Y. L. Cell movement is guided by the rigidity of the substrate. Biophys. J. 79, 144–152 (2000).
pubmed: 10866943 pmcid: 1300921 doi: 10.1016/S0006-3495(00)76279-5
Metzner, C. et al. Superstatistical analysis and modelling of heterogeneous random walks. Nat. Commun. 6, 7516 (2015).
pubmed: 26108639 doi: 10.1038/ncomms8516
Dumortier, J. G., Martin, S., Meyer, D., Rosa, F. M. & David, N. B. Collective mesendoderm migration relies on an intrinsic directionality signal transmitted through cell contacts. Proc. Natl Acad. Sci. USA 109, 16945–16950 (2012).
pubmed: 23027928 pmcid: 3479507 doi: 10.1073/pnas.1205870109
d’Alessandro, J. et al. Contact enhancement of locomotion in spreading cell colonies. Nat. Phys. 13, 999–1005 (2017).
doi: 10.1038/nphys4180
Brückner, D. B. et al. Learning the dynamics of cell-cell interactions in confined cell migration. Proc. Natl Acad. Sci. USA 118, e2016602118 (2021).
pubmed: 33579821 pmcid: 7896326 doi: 10.1073/pnas.2016602118
Gupta, M. et al. Adaptive rheology and ordering of cell cytoskeleton govern matrix rigidity sensing. Nat. Commun. 6, 7525 (2015).
pubmed: 26109233 doi: 10.1038/ncomms8525
Liu, Y.-J. et al. Confinement and low adhesion induce fast amoeboid migration of slow mesenchymal cells. Cell 160, 659–672 (2015).
pubmed: 25679760 doi: 10.1016/j.cell.2015.01.007
Petrie, R. J. & Yamada, K. M. Multiple mechanisms of 3D migration: the origins of plasticity. Curr. Op. Cell Biol. 42, 7–12 (2016).
pubmed: 27082869 doi: 10.1016/j.ceb.2016.03.025
Petrie, R. J., Gavara, N., Chadwick, R. S. & Yamada, K. M. Nonpolarized signaling reveals two distinct modes of 3D cell migration. J. Cell Biol. 197, 439–455 (2012).
pubmed: 22547408 pmcid: 3341168 doi: 10.1083/jcb.201201124
Yamada, K. M. et al. Extracellular matrix dynamics in cell migration, invasion and tissue morphogenesis. Int. J. Exp. Path. 100, 144–152 (2019).
doi: 10.1111/iep.12329
Jain, S. et al. The role of single-cell mechanical behaviour and polarity in driving collective cell migration. Nat. Phys. 16, 802–809 (2020).
pubmed: 32641972 pmcid: 7343533 doi: 10.1038/s41567-020-0875-z
Caballero, D., Voituriez, R. & Riveline, D. Protrusion fluctuations direct cell motion. Biophys. J. 107, 34–42 (2014).
pubmed: 24988339 pmcid: 4119278 doi: 10.1016/j.bpj.2014.05.002
Mohammed, D. et al. Substrate area confinement is a key determinant of cell velocity in collective migration. Nat. Phys. 15, 858–866 (2019).
doi: 10.1038/s41567-019-0543-3
Lavi, I., Piel, M., Lennon-Duménil, A.-M., Voituriez, R. & Gov, N. S. Deterministic patterns in cell motility. Nat. Phys. 12, 1146–1152 (2016).
doi: 10.1038/nphys3836
Hennig, K. et al. Stick-slip dynamics of cell adhesion triggers spontaneous symmetry breaking and directional migration of mesenchymal cells on one-dimensional lines. Sci. Adv. 6, eaau5670 (2019).
doi: 10.1126/sciadv.aau5670
Peyret, G. et al. Sustained oscillations of epithelial cell sheets. Biophys. J. 117, 464–478 (2019).
pubmed: 31307676 pmcid: 6697349 doi: 10.1016/j.bpj.2019.06.013
Zhang, J., Guo, W.-H. & Wang, Y.-L. Microtubules stabilize cell polarity by localizing rear signals. Proc. Natl Acad. Sci. USA 111, 16383–16388 (2014).
pubmed: 25368191 pmcid: 4246331 doi: 10.1073/pnas.1410533111
Paluch, E., Piel, M., Prost, J., Bornens, M. & Sykes, C. Cortical actomyosin breakage triggers shape oscillations in cells and cell fragments. Biophys. J. 89, 724–733 (2005).
pubmed: 15879479 pmcid: 1366569 doi: 10.1529/biophysj.105.060590
Holmes, D. F. et al. Synchronized mechanical oscillations at the cell-matrix interface in the formation of tensile tissue. Proc. Natl Acad. Sci. USA 115, 9288–9297 (2018).
doi: 10.1073/pnas.1801759115
Plotnikov, S. V. & Waterman, C. M. Guiding cell migration by tugging. Curr. Opin. Cell Biol. 25, 619–626 (2013).
pubmed: 23830911 doi: 10.1016/j.ceb.2013.06.003
Balaban, N. Q. et al. Force and focal adhesion assembly: a close relationship studied using elastic micropatterned substrates. Nat. Cell Biol. 3, 466–472 (2001).
pubmed: 11331874 doi: 10.1038/35074532
Pankov, R. et al. Integrin dynamics and matrix assembly: tensin-dependent translocation of α
pubmed: 10704455 pmcid: 2174533 doi: 10.1083/jcb.148.5.1075
Borsi, L. et al. Monocolona antibodies in the analysis of fibronectin isoforms generated by alternative splicing of mRNA precursors in normal and transformed human cells. J. Cell Biol. 104, 595–600 (1987).
pubmed: 3643927 doi: 10.1083/jcb.104.3.595
Lu, J. et al. Basement membrane regulates fibronectin organisation using sliding focal adhesions driven by a contractile winch. Dev. Cell 52, 1–16 (2020).
doi: 10.1016/j.devcel.2020.01.007
Sung, B. H. et al. A live cell reporter of exosome secretion and uptake reveals pathfinding behavior of migrating cells. Nat. Commun. 11, 2092 (2020).
pubmed: 32350252 pmcid: 7190671 doi: 10.1038/s41467-020-15747-2
Mayer, C. et al. Release of cell fragments by invading melanoma cells. Eur. J. Cell Biol. 83, 709–715 (2004).
pubmed: 15679115 doi: 10.1078/0171-9335-00394
Uhlenbeck, G. E. & Ornstein, L. S. On the theory of the Brownian motion. J. Phys. Soc. Jpn. 36, 823–841 (1930).
Mitterwallner, B. G., Schreiber, C., Daldrop, J. O., Rädler, J. O. & Netz, R. R. Non-markovian data-driven modeling of single-cell motility. Phys. Rev. E 101, 032408– (2020).
pubmed: 32289977 doi: 10.1103/PhysRevE.101.032408
Mitterwallner, B. G., Lavacchi, L., and Netz, R. R. Negative friction memory induces persistent motion. Eur. Phys. J. E, 43(10), 2020.
Sapozhnikov, V. B. Self-attracting walk with nu 1/2. J. Phys. A: Math. Gen. 27, L151–L153 (1994).
Pemantle, R. A survey of random processes with reinforcement. Probab. Surv. 4, 1–79 (2007).
doi: 10.1214/07-PS094
Amit, D. J., Parisi, G. & Peliti, L. Asymptotic behavior of the "true" self-avoiding walk. Phys. Rev. B 27, 1635–1645 (1983).
doi: 10.1103/PhysRevB.27.1635
Peliti, L. & Pietronero, L. Random walks with memory. La Riv. del. Nuovo Cim.(1978-1999) 10, 1–33 (1987).
doi: 10.1007/BF02742985
Foster, J. G., Grassberger, P. & Paczuski, M. Reinforced walks in two and three dimensions. N. J. Phys. 11, 023009 (2009).
doi: 10.1088/1367-2630/11/2/023009
Ordemann, A., Tomer, E., Berkolaiko, G., Havlin, S. & Bunde, A. Structural properties of self-attracting walks. Phys. Rev. E 64, 046117 (2001).
doi: 10.1103/PhysRevE.64.046117
Mihael, P. & Wendelin, W. Perturbed Brownian motions. Probab. Theory Relat. Fields 108, 357–383 (1997).
doi: 10.1007/s004400050113
Burgess, D. Reinforced random walk. Probab. Theory Relat. Fields 84, 203–229 (1990).
doi: 10.1007/BF01197845
de Gennes, P. G. Scaling Concepts in Polymer Physics. (Cornell University Press, 1979).
Stevens, A. & Othmer, H. G. Aggregation, blowup, and collapse: the ABC’s of taxis in reinforced random walks. SIAM J. Appl. Math. 57, 1044–1081 (1997).
doi: 10.1137/S0036139995288976
Boyer, D. & Romo-Cruz, J. C. R. Solvable random walk model with memory and its relations with Markovian models of anomalous diffusion. Phys. Rev. E. Stat. Nonlin. Soft. Matter. Phys. 90, 042136 (2014).
Harald, F. & Peter, G. The red queen’s walk. Phys. A 190, 218–237 (1992).
Levernier, N., Bénichou, O., Guérin, T. & Voituriez, R. Universal first-passage statistics of aging processes. Phys. Rev. E 98, 022125 (2018).
pubmed: 30253583 doi: 10.1103/PhysRevE.98.022125
Barbier-Chebbah, A., Benichou, O. & Voituriez, R. Anomalous persistence exponents for normal yet aging diffusion. Phys. Rev. E 102, 062115 (2020).
pubmed: 33466050 doi: 10.1103/PhysRevE.102.062115
Metzler, R., Oshanin, G. & Redner, S. First Passage Problems: Recent Advances. (World Scientific, Singapore, 2014).
Bénichou, O. & Voituriez, R. From first-passage times of random walks in confinement to geometry-controlled kinetics. Phys. Rep. 539, 225–284 (2014).
doi: 10.1016/j.physrep.2014.02.003
Bray, A. J., Majumdar, S. N. & Schehr, G. Persistence and first-passage properties in nonequilibrium systems. Adv. Phys. 62, 225–361 (2013).
doi: 10.1080/00018732.2013.803819
Vogel, V. & Sheetz, M. P. Local force and geometry sensing regulate cell functions. Nat. Rev. Mol. Cell Biol. 7, 265–275 (2006).
pubmed: 16607289 doi: 10.1038/nrm1890
te Broekhorst, V., Preziosi, L. & Friedl, P. Plasticity of cell migration in vivo and in silico. Ann. Rev. Cell Dev. Biol. 32, 491–526 (2016).
doi: 10.1146/annurev-cellbio-111315-125201
Gagné, D., Benoit, Y. D., Groulx, J.-F., Vachon, P. H. & Beaulieu, J.-F. ILK supports RhoA/ROCK-mediated contractility of human intestinal epithelial crypt cells by inducing the fibrillogenesis of endogenous soluble fibronectin during the spreading process. BMC Mol. Cell Biol. 21, 14 (2020).
pubmed: 32183701 pmcid: 7079544 doi: 10.1186/s12860-020-00259-0
Wolf, K. et al. Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion. Nat. Cell Biol. 9, 893–904 (2007).
pubmed: 17618273 doi: 10.1038/ncb1616
Meshel, A. S., Wei, Q., Adelstein, R. S. & Sheetz, M. P. Basic mechanism of three-dimensional collagen fibre transport by fibroblasts. Nat. Cell Biol. 7, 157–164 (2005).
pubmed: 15654332 doi: 10.1038/ncb1216
Oudin, M. J. et al. Tumor-cell driven extra-cellular matrix remodeling drives haptotaxis during metastatic progression. Cancer Disc. 15, 517–531 (2016).
Attieh, Y. et al. Cancer-associated fibroblasts lead tumor invasion through integrin-β 3-dependent fibronectin assembly. J. Cell Biol. 216, 3509–3520 (2017).
pubmed: 28931556 pmcid: 5674886 doi: 10.1083/jcb.201702033
Tseng, Q. et al. Spatial organization of the extracellular matrix regulates cell-cell junction positioning. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1106377109 (2012).
Bechtold, B. Violin Plots for Matlab, Github Project https://github.com/bastibe/Violinplot-Matlab , https://doi.org/10.5281/zenodo.4559847 (2016).

Auteurs

Joseph d'Alessandro (J)

Université de Paris, CNRS, Institut Jacques Monod, Paris, F-75006, France. joseph.dalessandro@ijm.fr.

Alex Barbier-Chebbah (A)

Laboratoire de Physique Théorique de la Matière Condensée, CNRS/Sorbonne Université, Paris, France.

Victor Cellerin (V)

Université de Paris, CNRS, Institut Jacques Monod, Paris, F-75006, France.

Olivier Benichou (O)

Laboratoire de Physique Théorique de la Matière Condensée, CNRS/Sorbonne Université, Paris, France.

René Marc Mège (RM)

Université de Paris, CNRS, Institut Jacques Monod, Paris, F-75006, France.

Raphaël Voituriez (R)

Laboratoire Jean Perrin and Laboratoire de Physique Théorique de la Matière Condensée, CNRS/Sorbonne Université, Paris, France. voiturie@lptmc.jussieu.fr.

Benoît Ladoux (B)

Université de Paris, CNRS, Institut Jacques Monod, Paris, F-75006, France. benoit.ladoux@ijm.fr.

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