We study how groups of bacteria migrate collectively. For example, we model colonies of motile bacteria as active fluids to understand collective behaviors such as the formation of layered aggregates and fruiting bodies, and the propagation of waves on the surface of the colony. In another example, we study how propagating fronts of chemotactic bacteria manage to remain stable even when moving through porous media.
R. Alert, A. Martínez-Calvo, and S.S. Datta. Cellular Sensing Governs the Stability of Chemotactic Fronts. PRL (2022)
T. Bhattacharjee*, D.B. Amchin*, R. Alert*, J.A. Ott, and S.S. Datta. Chemotactic smoothing of collective migration. eLife (2022)
K. Copenhagen*, R. Alert*, N.S. Wingreen, and J.W. Shaevitz. Topological defects promote layer formation in Myxococcus xanthus colonies. Nat. Phys. (2021)
Image from F.C. Keber, E. Loiseau, T. Sanchez, S.J. DeCamp, L. Giomi, M.J. Bowick, M.C. Marchetti, Z. Dogic, and A.R. Bausch. Topology and dynamics of active nematic vesicles. Science 345, 1135 (2014)
Many biological and reconstituted systems behave as active droplets. Examples include biomolecular condensates, the mitotic spindle, cellular tissues, bacterial biofilms, and synthetic vesicles containing active nematic films. Because of their internal driving, active droplets often break symmetry and change shape spontaneously. To understand these phenomena, I study the morphological stability of active droplets.
Self-propelled particles can condense even if they repel each other. This phase transition, known as motility-induced phase separation, has become a paradigmatic example of active-matter phenomena. We study how non-reciprocal interparticle torques produce motility-induced phase separation in self-propelled Janus colloids.
Image from J. Yan, C. Fei, S. Mao, A. Moreau, N.S. Wingreen, A. Košmrlj, H.A. Stone, and B.L. Bassler. Mechanical instability and interfacial energy drive biofilm morphogenesis. eLife 8, e43920 (2019)
Biofilms are surface-adhered communities of bacterial cells embedded in a matrix of secreted polymers. As cells grow and proliferate, mechanical stress builds up in the biofilm. We have studied how the mechanics of biofilm growth governs biofilm morphogenesis. In particular, we have studied how wrinkle patterns emerge from the spatiotemporal dynamics of stress accumulation in growing biofilms. We also study the statistics of stress fluctuations in growing biofilms.
Q. Zhang, J. Li, J. Nijjer, H. Lu, M. Kothari, R. Alert, T. Cohen, and J. Yan. Morphogenesis and cell ordering in confined bacterial biofilms. PNAS (2021)
C. Fei, S. Mao, J. Yan, R. Alert, H.A. Stone, B.L. Bassler, N.S. Wingreen, and A. Košmrlj. Nonuniform growth and surface friction determine bacterial biofilm morphology on soft substrates. PNAS (2020)
Active fluids are driven internally by their microscopic components, and hence they can flow spontaneously without applying external forces. Examples include suspensions of bacteria, cytoskeletal components, self-propelled particles, and even epithelial tissues. All these systems exhibit turbulent-like chaotic flows driven by activity. I study the statistical properties of active turbulence, trying to understand how they differ from those of classic inertial turbulence.
R. Alert, J. Casademunt, and J-F. Joanny. Active Turbulence. Annu. Rev. Condens. Matter Phys. (2022)
B. Martínez-Prat*, R. Alert*, F. Meng, J. Ignés-Mullol, J-F. Joanny, J. Casademunt, R. Golestanian, and F. Sagués. Scaling Regimes of Active Turbulence with External Dissipation. PRX (2021)
R. Alert, J-F. Joanny, and J. Casademunt. Universal scaling of active nematic turbulence. Nat. Phys. (2020)
Collective cell migration is a key driver of embryonic development, wound healing, and some types of cancer invasion. I study how cells coordinate their motion, and how their collective migration impacts tissue morphology. For example, we propose active polar fluid models of tissue spreading, and we analyze experiments that measure the traction forces exerted by cells on a deformable substrate. Using this approach, we address collective mechanical phenomena in tissues, such as their wetting behavior, morphological instabilities, collective durotaxis, and structural transitions.
T. Brandstätter*, D.B. Brückner*, Y.L. Han, R. Alert, M. Guo, and C.P. Broedersz. Curvature induces active velocity waves in rotating multicellular spheroids. arXiv (2021)
I. Pi-Jaumà, R. Alert, and J. Casademunt. Collective durotaxis of cohesive cell clusters on a stiffness gradient. EPJE (2022)
R. Alert and X. Trepat. Living Cells on the Move. Phys. Today (2021)
M.A Heinrich*, R. Alert*, A.E. Wolf*, A. Košmrlj, and D.J. Cohen. Self-assembly of tesselated tissue sheets by growth and collision. bioRxiv (2021)
M.A Heinrich, R. Alert, J. LaChance, T.J. Zajdel, A. Košmrlj, and D.J. Cohen. Size-dependent patterns of cell proliferation and migration in freely-expanding epithelia. eLife (2020)
R. Alert and X. Trepat. Physical Models of Collective Cell Migration. Annu. Rev. Condens. Matter Phys. (2020)
R. Alert, C. Blanch-Mercader, and J. Casademunt. Active Fingering Instability in Tissue Spreading. PRL (2019)
R. Alert and J. Casademunt. Role of Substrate Stiffness in Tissue Spreading: Wetting Transition and Tissue Durotaxis. Langmuir (2019)
C. Pérez-González*, R. Alert*, C. Blanch-Mercader, M. Gómez-González, T. Kolodziej, E. Bazellières, J. Casademunt, and X. Trepat. Active wetting of epithelial tissues. Nat. Phys. (2019)
B. Smeets, R. Alert, J. Pešek, I. Pagonabarraga, H. Ramon, and R. Vincent. Emergent structures and dynamics of cell colonies by contact inhibition of locomotion. PNAS (2016)
Biological materials such as the actomyosin cytoskeleton, the mitotic spindle, and epithelial tissues are active gels, i.e. viscoelastic media driven internally by non-equilibrium molecular processes. I study how these molecular processes control the mechanical properties of active gels. In particular, we derived the hydrodynamic equations of active gels from the dynamics of their crosslinker proteins. This way, we unveiled how the breaking of detailed balance at the molecular scale gives rise to active stresses and tunes otherwise passive properties such as the gel's viscosity.
Crystals made of colloidal particles can be imaged with single-particle resolution, and interparticle interactions can be externally tuned. Leveraging these features, I use colloidal crystals as an experimental model system to study fundamental aspects of phase transitions. We combine theory, simulations, and experiments to study the structural transitions of a two-dimensional magnetic colloidal crystal assembled on a micropatterned substrate. The interplay between the pinning imposed by the substrate and the intrinsic anisotropy of the magnetic dipolar interactions gives rise to a new type of phase transition with unprecedented equilibrium and kinetic properties. This new transition has properties in between those of first- and second-order transitions.
R. Alert, P. Tierno, and J. Casademunt. Mixed-order phase transition in a colloidal crystal. PNAS (2017)
R. Alert, P. Tierno, and J. Casademunt. Formation of metastable phases by spinodal decomposition. Nat. Commun. (2016)
R. Alert, J. Casademunt, and P. Tierno. Landscape-Inversion Phase Transition in Dipolar Colloids: Tuning the Structure and Dynamics of 2D Crystals. PRL (2014)
The cell membrane (red) is attached to the underlying actin cortex (green) by specific linker proteins. We proposed a mechanochemical model for membrane-cortex adhesion that couples the binding kinetics of the linker proteins to membrane deformations and cortical tension. With this model, we predicted the conditions for membrane detachment, and we interpreted micropipette aspiration experiments. We also study the effect of membrane-cortex adhesion on membrane fluctuations, providing predictions for fluctuation spectroscopy experiments.
A local detachment of the membrane leads to blister-like protrusions called blebs. We studied bleb nucleation, i.e. the spontaneous formation of blebs, which we predict to be governed by a rupture process called membrane peeling. We quantified the kinetics of bleb nucleation by means of stochastic simulations.