Data for: Understanding cytoskeletal avalanches using mechanical stability analysis

dc.contributor.authorFloyd, Carlos
dc.contributor.authorLevine, Herbert
dc.contributor.authorJarzynski, Christopher
dc.contributor.authorPapoian, Garegin A.
dc.date.accessioned2021-08-19T15:50:14Z
dc.date.available2021-08-19T15:50:14Z
dc.date.issued2021-08
dc.descriptionThis contains data and source code used in the manuscript "Understanding cytoskeletal avalanches using mechanical stability analysis." See the README.md file for further information.en_US
dc.description.abstractEukaryotic cells are mechanically supported by a polymer network called the cytoskeleton, which consumes chemical energy to dynamically remodel its structure. Recent experiments \textit{in vivo} have revealed that this remodeling occasionally happens through anomalously large displacements, reminiscent of earthquakes or avalanches. These cytoskeletal avalanches might indicate that the cytoskeleton's structural response to a changing cellular environment is highly sensitive, and they are therefore of significant biological interest. However, the physics underlying ``cytoquakes'' is poorly understood. Here, we use agent-based simulations of cytoskeletal self-organization to study fluctuations in the network's mechanical energy. We robustly observe non-Gaussian statistics and asymmetrically large rates of energy release compared to accumulation in a minimal cytoskeletal model. The large events of energy release are found to correlate with large, collective displacements of the cytoskeletal filaments. We also find that the changes in the localization of tension and the projections of the network motion onto the vibrational normal modes are asymmetrically distributed for energy release and accumulation. These results imply an avalanche-like process of slow energy storage punctuated by fast, large events of energy release involving a collective network rearrangement. We further show that mechanical instability precedes cytoquake occurrence through a machine learning model that dynamically forecasts cytoquakes using the vibrational spectrum as input. Our results provide the first connection between the cytoquake phenomenon and the network's mechanical energy and can help guide future investigations of the cytoskeleton's structural susceptibility.en_US
dc.description.urihttps://doi.org/10.1073/pnas.2110239118
dc.identifierhttps://doi.org/10.13016/s8yq-dary
dc.identifier.urihttp://hdl.handle.net/1903/27637
dc.language.isoen_USen_US
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtPhysicsen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectCytoskeleton, active matter, non-equilibrium dynamicsen_US
dc.titleData for: Understanding cytoskeletal avalanches using mechanical stability analysisen_US
dc.typeDataseten_US

Files

Original bundle

Now showing 1 - 5 of 8
Loading...
Thumbnail Image
Name:
README.md
Size:
6.81 KB
Format:
Unknown data format
Description:
README
Loading...
Thumbnail Image
Name:
Cij_Energies.zip
Size:
102.86 MB
Format:
Unknown data format
Description:
Cij_Energies
Loading...
Thumbnail Image
Name:
FS.zip
Size:
14.45 MB
Format:
Unknown data format
Description:
FS
Loading...
Thumbnail Image
Name:
tF.zip
Size:
19.09 MB
Format:
Unknown data format
Description:
tF
Loading...
Thumbnail Image
Name:
src.zip
Size:
51.76 MB
Format:
Unknown data format
Description:
MEDYAN source code