
Computational biophysics, cell motility, collective motion, soft matter, horses, cats. AsstProf @JohnsHopkins Physics/Biophysics.
Maryland, USA
Joined July 2015
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APS March meeting abstract deadline is coming up - October 25! Submit to the Morphogenesis category 04.01.11 - Invited talks will be by Emily Gehrels @EmilyGehrels and Anna Erzberger @ErzbergerGroup
For physicists, we also show that there's a big difference between "jammed" and "unjammed" tissues. We find unjamming is necessary - but not sufficient - to predict the ability of cells to dissociate from an invading front.
What controls whether cells - or clusters of cells - break off from an invading cancerous front? New preprint from my group in collaboration with the Konstantopoulos group @KKLabJHU , led by @wwang721 doi.org/10.1101/2024.06.28.6…
Our work on how cells deposit, sense, and interact with their footprints is now published in PNAS - how cells can develop oscillations, spiral out, or yet more complex dynamics! Work by Emiliano Perez Ipina (on the market!), data from @BLadoux group: doi.org/10.1073/pnas.2318248…
Our work on how a cell can best sense a dynamically-changing chemical signal - and what sort of environments can lead to a rapidly-changing signal - is now out in Biophys. J: authors.elsevier.com/a/1i%7E… .
Here's the same model, same parameters as the first one - but with a smaller cell. In this case, we find F(x,v) and find that the dynamics are bistable. Essentially, it's harder for the small cell to "find" the bridge to travel over it.
But MCF10A is "bistable" - if you evolve under the equation of motion dv/dt = F(x,v), you end up in one basin or the other.
They found that if you use F(x,v) to construct "streamlines" of the MDA-MB-231 cancerous cells - basically tracing out what happens to a particle with dv/dt = F(x,v) - you get a limit cycle - you'd predict that the cell oscillates back and forth no matter where it starts.
We started here by looking at work by @d_brueckner et al. nature.com/articles/s41567-0… - they construct the average acceleration F(x,v) conditional on the position, velocity of the cell directly from data. This is the "equation of motion" of the cell!





