Computational biophysics, cell motility, collective motion, soft matter, horses, cats. AsstProf @JohnsHopkins Physics/Biophysics.

Maryland, USA
Joined July 2015
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
1
2
1
13
1,962
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.
1
3
406
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…
1
17
86
9,254
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…
3
15
1
93
30,065
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… .
2
2
38
2,279
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.
1
4
1,185
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.
1
7
1,216
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.
1
9
1,422
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!
1
1
1,571
If you put a cancerous (MDA-MB-231) cell on a pattern of two "basins" connected by a narrow bridge, it hops back and forth like this: why? What is different between it and healthy MCF 10A, which does something slightly different? New preprint from Pedrom Zadeh + me answers this!
4
48
4
233
49,231