//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
Profile
Loading...









Loading...
Our paper on a Hamiltonian description of non-reciprocal interactions is out @natphys.nature.com! With Yubo Shi, Roderich Moessner, and @marinbukov.bsky.social @mpipks.bsky.social @ub.edu @icreacommunity.bsky.social Check it out, and read more in the thread below! 馃憞 www.nature.com/articles/s41...
The sudden jump from low to high tractions could act like a switch to trigger tissue spreading, e.g. through the active wetting transition (see below), in processes such as embryo implantation, wound healing, and tumor invasion. www.nature.com/articles/s41...
Because low and high tractions are bistable, the transition features hysteresis (see black dashed lines). Hysteresis could provide robustness of cellular tractions against small local variations of ECM stiffness when cells migrate through heterogeneous environments.
Increasing cellular contractility can also trigger the jump from low to high tractions.
We show that this traction-stiffness feedback can lead to traction bistability and hysteresis. For example, increasing ECM stiffness can trigger a discontinuous transition from low to high tractions.
The ECM is a biopolymer network that often exhibits strain stiffening: it becomes stiffer when deformed. Therefore, cellular tractions can stiffen the ECM. At the same time, cells exert stronger tractions on stiffer ECM. What are the consequences of this feedback?
New preprint! Interested in mechanical interactions between cells and the extracellular matrix? We studied the feedback between cellular traction forces and the ECM nonlinear elasticity. With Irina Pi-Jaum脿 and Jaume Casademunt. arxiv.org/abs/2606.03669
For extra fun, it turns out that these labyrinths have interesting topological properties: They are unicursal, meaning that there are neither bifurcations nor dead ends. Such labyrinths are not common in nature, but they show up in art, for example in the Chartres Cathedral.
Despite it being chaotic, active nematic turbulence can give rise to arrested labyrinthine patterns! Check out our new paper @physrevresearch.bsky.social! Work led by Ido Lavi, with Jean-Fran莽ois Joanny and Jaume Casademunt. journals.aps.org/prresearch/a...
馃摪 Not铆cies, agenda cient铆fica, descobriments i entrevistes. ICREA't 茅s el teu nou portal per seguir l'actualitat de les investigacions dels recercaires ICREA a Catalunya. No et perdis res 馃憠 icreat.cat
7h
7d
7d
7d
7d
7d
7d
2mo
2mo
4mo
An analogy with wetting has proven apt for describing how groups of cells spread on a substrate. But cells are active: they polarize, generate forces and adhere to their surroundings. Experiments now ...
Active wetting of epithelial tissues - Nature Physics
www.nature.com
To migrate, cells exert traction forces on the extracellular matrix (ECM) -- a biopolymer network that often exhibits nonlinear strain-stiffening elasticity. Cellular tractions can therefore stiffen t...
arxiv.org
Bistability of cellular traction on strain-stiffening substrates
Many active and driven systems exhibit non-reciprocal interactions, making them hard to describe with standard methods. Now a constrained Hamiltonian embedding with auxiliary variables reproduces thes...
www.nature.com
Hamiltonian description of non-reciprocal interactions - Nature Physics
Ricard Alert Zen贸n
Ricard Alert Zen贸n
Ricard Alert Zen贸n
Ricard Alert Zen贸n
Ricard Alert Zen贸n
Ricard Alert Zen贸n
Ricard Alert Zen贸n
Ricard Alert Zen贸n
Ricard Alert Zen贸n
ICREA Community
New preprint! Non-reciprocal interactions don鈥檛 arise from a potential. Yet, we found a way to encode them in a Hamiltonian, which captures the phase transitions of non-reciprocal systems! With Yubo Shi, Roderich Moessner, and @marinbukov.bsky.social @mpipks.bsky.social. arxiv.org/pdf/2505.05246
May 9, 2025
Ricard Alert Zen贸n