@article{8602,
  abstract     = {Collective cell migration offers a rich field of study for non-equilibrium physics and cellular biology, revealing phenomena such as glassy dynamics, pattern formation and active turbulence. However, how mechanical and chemical signalling are integrated at the cellular level to give rise to such collective behaviours remains unclear. We address this by focusing on the highly conserved phenomenon of spatiotemporal waves of density and extracellular signal-regulated kinase (ERK) activation, which appear both in vitro and in vivo during collective cell migration and wound healing. First, we propose a biophysical theory, backed by mechanical and optogenetic perturbation experiments, showing that patterns can be quantitatively explained by a mechanochemical coupling between active cellular tensions and the mechanosensitive ERK pathway. Next, we demonstrate how this biophysical mechanism can robustly induce long-ranged order and migration in a desired orientation, and we determine the theoretically optimal wavelength and period for inducing maximal migration towards free edges, which fits well with experimentally observed dynamics. We thereby provide a bridge between the biophysical origin of spatiotemporal instabilities and the design principles of robust and efficient long-ranged migration.},
  author       = {Boocock, Daniel R and Hino, Naoya and Ruzickova, Natalia and Hirashima, Tsuyoshi and Hannezo, Edouard B},
  issn         = {17452481},
  journal      = {Nature Physics},
  pages        = {267--274},
  publisher    = {Springer Nature},
  title        = {{Theory of mechanochemical patterning and optimal migration in cell monolayers}},
  doi          = {10.1038/s41567-020-01037-7},
  volume       = {17},
  year         = {2021},
}

@article{9306,
  abstract     = {Assemblies of actin and its regulators underlie the dynamic morphology of all eukaryotic cells. To understand how actin regulatory proteins work together to generate actin-rich structures such as filopodia, we analyzed the localization of diverse actin regulators within filopodia in Drosophila embryos and in a complementary in vitro system of filopodia-like structures (FLSs). We found that the composition of the regulatory protein complex where actin is incorporated (the filopodial tip complex) is remarkably heterogeneous both in vivo and in vitro. Our data reveal that different pairs of proteins correlate with each other and with actin bundle length, suggesting the presence of functional subcomplexes. This is consistent with a theoretical framework where three or more redundant subcomplexes join the tip complex stochastically, with any two being sufficient to drive filopodia formation. We provide an explanation for the observed heterogeneity and suggest that a mechanism based on multiple components allows stereotypical filopodial dynamics to arise from diverse upstream signaling pathways.},
  author       = {Dobramysl, Ulrich and Jarsch, Iris Katharina and Inoue, Yoshiko and Shimo, Hanae and Richier, Benjamin and Gadsby, Jonathan R. and Mason, Julia and Szałapak, Alicja and Ioannou, Pantelis Savvas and Correia, Guilherme Pereira and Walrant, Astrid and Butler, Richard and Hannezo, Edouard B and Simons, Benjamin D. and Gallop, Jennifer L.},
  issn         = {15408140},
  journal      = {Journal of Cell Biology},
  number       = {4},
  publisher    = {Rockefeller University Press},
  title        = {{Stochastic combinations of actin regulatory proteins are sufficient to drive filopodia formation}},
  doi          = {10.1083/jcb.202003052},
  volume       = {220},
  year         = {2021},
}

@article{9349,
  abstract     = {The way in which interactions between mechanics and biochemistry lead to the emergence of complex cell and tissue organization is an old question that has recently attracted renewed interest from biologists, physicists, mathematicians and computer scientists. Rapid advances in optical physics, microscopy and computational image analysis have greatly enhanced our ability to observe and quantify spatiotemporal patterns of signalling, force generation, deformation, and flow in living cells and tissues. Powerful new tools for genetic, biophysical and optogenetic manipulation are allowing us to perturb the underlying machinery that generates these patterns in increasingly sophisticated ways. Rapid advances in theory and computing have made it possible to construct predictive models that describe how cell and tissue organization and dynamics emerge from the local coupling of biochemistry and mechanics. Together, these advances have opened up a wealth of new opportunities to explore how mechanochemical patterning shapes organismal development. In this roadmap, we present a series of forward-looking case studies on mechanochemical patterning in development, written by scientists working at the interface between the physical and biological sciences, and covering a wide range of spatial and temporal scales, organisms, and modes of development. Together, these contributions highlight the many ways in which the dynamic coupling of mechanics and biochemistry shapes biological dynamics: from mechanoenzymes that sense force to tune their activity and motor output, to collectives of cells in tissues that flow and redistribute biochemical signals during development.},
  author       = {Lenne, Pierre François and Munro, Edwin and Heemskerk, Idse and Warmflash, Aryeh and Bocanegra, Laura and Kishi, Kasumi and Kicheva, Anna and Long, Yuchen and Fruleux, Antoine and Boudaoud, Arezki and Saunders, Timothy E. and Caldarelli, Paolo and Michaut, Arthur and Gros, Jerome and Maroudas-Sacks, Yonit and Keren, Kinneret and Hannezo, Edouard B and Gartner, Zev J. and Stormo, Benjamin and Gladfelter, Amy and Rodrigues, Alan and Shyer, Amy and Minc, Nicolas and Maître, Jean Léon and Di Talia, Stefano and Khamaisi, Bassma and Sprinzak, David and Tlili, Sham},
  issn         = {1478-3975},
  journal      = {Physical biology},
  number       = {4},
  publisher    = {IOP Publishing},
  title        = {{Roadmap for the multiscale coupling of biochemical and mechanical signals during development}},
  doi          = {10.1088/1478-3975/abd0db},
  volume       = {18},
  year         = {2021},
}

@article{9629,
  abstract     = {Intestinal organoids derived from single cells undergo complex crypt–villus patterning and morphogenesis. However, the nature and coordination of the underlying forces remains poorly characterized. Here, using light-sheet microscopy and large-scale imaging quantification, we demonstrate that crypt formation coincides with a stark reduction in lumen volume. We develop a 3D biophysical model to computationally screen different mechanical scenarios of crypt morphogenesis. Combining this with live-imaging data and multiple mechanical perturbations, we show that actomyosin-driven crypt apical contraction and villus basal tension work synergistically with lumen volume reduction to drive crypt morphogenesis, and demonstrate the existence of a critical point in differential tensions above which crypt morphology becomes robust to volume changes. Finally, we identified a sodium/glucose cotransporter that is specific to differentiated enterocytes that modulates lumen volume reduction through cell swelling in the villus region. Together, our study uncovers the cellular basis of how cell fate modulates osmotic and actomyosin forces to coordinate robust morphogenesis.},
  author       = {Yang, Qiutan and Xue, Shi-lei and Chan, Chii Jou and Rempfler, Markus and Vischi, Dario and Maurer-Gutierrez, Francisca and Hiiragi, Takashi and Hannezo, Edouard B and Liberali, Prisca},
  issn         = {1476-4679},
  journal      = {Nature Cell Biology},
  pages        = {733–744},
  publisher    = {Springer Nature},
  title        = {{Cell fate coordinates mechano-osmotic forces in intestinal crypt formation}},
  doi          = {10.1038/s41556-021-00700-2},
  volume       = {23},
  year         = {2021},
}

@article{10365,
  abstract     = {The early development of many organisms involves the folding of cell monolayers, but this behaviour is difficult to reproduce in vitro; therefore, both mechanistic causes and effects of local curvature remain unclear. Here we study epithelial cell monolayers on corrugated hydrogels engineered into wavy patterns, examining how concave and convex curvatures affect cellular and nuclear shape. We find that substrate curvature affects monolayer thickness, which is larger in valleys than crests. We show that this feature generically arises in a vertex model, leading to the hypothesis that cells may sense curvature by modifying the thickness of the tissue. We find that local curvature also affects nuclear morphology and positioning, which we explain by extending the vertex model to take into account membrane–nucleus interactions, encoding thickness modulation in changes to nuclear deformation and position. We propose that curvature governs the spatial distribution of yes-associated proteins via nuclear shape and density changes. We show that curvature also induces significant variations in lamins, chromatin condensation and cell proliferation rate in folded epithelial tissues. Together, this work identifies active cell mechanics and nuclear mechanoadaptation as the key players of the mechanistic regulation of epithelia to substrate curvature.},
  author       = {Luciano, Marine and Xue, Shi-lei and De Vos, Winnok H. and Redondo-Morata, Lorena and Surin, Mathieu and Lafont, Frank and Hannezo, Edouard B and Gabriele, Sylvain},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  number       = {12},
  pages        = {1382–1390},
  publisher    = {Springer Nature},
  title        = {{Cell monolayers sense curvature by exploiting active mechanics and nuclear mechanoadaptation}},
  doi          = {10.1038/s41567-021-01374-1},
  volume       = {17},
  year         = {2021},
}

@article{6191,
  abstract     = {The formation of self-organized patterns is key to the morphogenesis of multicellular organisms, although a comprehensive theory of biological pattern formation is still lacking. Here, we propose a minimal model combining tissue mechanics with morphogen turnover and transport to explore routes to patterning. Our active description couples morphogen reaction and diffusion, which impact cell differentiation and tissue mechanics, to a two-phase poroelastic rheology, where one tissue phase consists of a poroelastic cell network and the other one of a permeating extracellular fluid, which provides a feedback by actively transporting morphogens. While this model encompasses previous theories approximating tissues to inert monophasic media, such as Turing’s reaction–diffusion model, it overcomes some of their key limitations permitting pattern formation via any two-species biochemical kinetics due to mechanically induced cross-diffusion flows. Moreover, we describe a qualitatively different advection-driven Keller–Segel instability which allows for the formation of patterns with a single morphogen and whose fundamental mode pattern robustly scales with tissue size. We discuss the potential relevance of these findings for tissue morphogenesis.},
  author       = {Recho, Pierre and Hallou, Adrien and Hannezo, Edouard B},
  issn         = {10916490},
  journal      = {Proceedings of the National Academy of Sciences of the United States of America},
  number       = {12},
  pages        = {5344--5349},
  publisher    = {National Academy of Sciences},
  title        = {{Theory of mechanochemical patterning in biphasic biological tissues}},
  doi          = {10.1073/pnas.1813255116},
  volume       = {116},
  year         = {2019},
}

@article{6508,
  abstract     = {Segregation of maternal determinants within the oocyte constitutes the first step in embryo patterning. In zebrafish oocytes, extensive ooplasmic streaming leads to the segregation of ooplasm from yolk granules along the animal-vegetal axis of the oocyte. Here, we show that this process does not rely on cortical actin reorganization, as previously thought, but instead on a cell-cycle-dependent bulk actin polymerization wave traveling from the animal to the vegetal pole of the oocyte. This wave functions in segregation by both pulling ooplasm animally and pushing yolk granules vegetally. Using biophysical experimentation and theory, we show that ooplasm pulling is mediated by bulk actin network flows exerting friction forces on the ooplasm, while yolk granule pushing is achieved by a mechanism closely resembling actin comet formation on yolk granules. Our study defines a novel role of cell-cycle-controlled bulk actin polymerization waves in oocyte polarization via ooplasmic segregation.},
  author       = {Shamipour, Shayan and Kardos, Roland and Xue, Shi-lei and Hof, Björn and Hannezo, Edouard B and Heisenberg, Carl-Philipp J},
  issn         = {10974172},
  journal      = {Cell},
  number       = {6},
  pages        = {1463--1479.e18},
  publisher    = {Elsevier},
  title        = {{Bulk actin dynamics drive phase segregation in zebrafish oocytes}},
  doi          = {10.1016/j.cell.2019.04.030},
  volume       = {177},
  year         = {2019},
}

@article{6601,
  abstract     = {There is increasing evidence that both mechanical and biochemical signals play important roles in development and disease. The development of complex organisms, in particular, has been proposed to rely on the feedback between mechanical and biochemical patterning events. This feedback occurs at the molecular level via mechanosensation but can also arise as an emergent property of the system at the cellular and tissue level. In recent years, dynamic changes in tissue geometry, flow, rheology, and cell fate specification have emerged as key platforms of mechanochemical feedback loops in multiple processes. Here, we review recent experimental and theoretical advances in understanding how these feedbacks function in development and disease.},
  author       = {Hannezo, Edouard B and Heisenberg, Carl-Philipp J},
  issn         = {00928674},
  journal      = {Cell},
  number       = {1},
  pages        = {12--25},
  publisher    = {Elsevier},
  title        = {{Mechanochemical feedback loops in development and disease}},
  doi          = {10.1016/j.cell.2019.05.052},
  volume       = {178},
  year         = {2019},
}

