no code implementations • 10 Apr 2024 • Pedrom Zadeh, Brian A. Camley
The motility of eukaryotic cells is strongly influenced by their environment, with confined cells often developing qualitatively different motility patterns from those migrating on simple two-dimensional substrates.
no code implementations • 6 Apr 2024 • Kurmanbek Kaiyrbekov, Brian A. Camley
We model elongated cells that have a different accuracy sensing the field depending on their orientation with respect to the field.
no code implementations • 31 Oct 2023 • Wei Wang, Brian A. Camley
However, in general, we find that cells have the ability to make reasonably reliable CIL decisions even for very narrow (micron-scale) contacts, even if the concentration of interfering ligands is ten times that of the correct ligands.
no code implementations • 29 Sep 2023 • Aparajita Kashyap, Wei Wang, Brian A. Camley
However, when cells are in a environment that changes over time, past measurements may not reflect current conditions - creating a new source of error that trades off against noise in chemical sensing.
no code implementations • 19 Oct 2021 • Emiliano Perez Ipiña, Brian A. Camley
As the cell positional uncertainty increases, there is a trade-off where the tug-of-war model responds more accurately to the chemical gradient.
no code implementations • 24 Feb 2020 • Austin Hopkins, Brian A. Camley
We show that, if a cell is exposed to a highly variable environment, it may gain chemotactic accuracy by expressing multiple receptor types with varying affinities for the same signal, as found commonly in chemotaxing cells like Dictyostelium.
no code implementations • 29 Aug 2019 • Melissa H. Mai, Brian A. Camley
Our simple model of a cell, based on the three-sphere swimmer, is capable of both swimming and crawling.
