1D cell trajectories as studied in "Cell-mechanical parameter estimation from 1D cell trajectories using simulation-based inference"

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Item Type:	Dataset
Title:	1D cell trajectories as studied in "Cell-mechanical parameter estimation from 1D cell trajectories using simulation-based inference"
Creators Name:	Heyn, Johannes, Atienza Juanatey, Miguel, Falcke, Martin and Rädler, Joachim
Abstract:	Trajectories of motile cells represent a rich source of data that provide insights into the mechanisms of cell migration via mathematical modeling and statistical analysis. Here, we present trajectories of MDA-MB-231 breast cancer cells and MCF-10A breast epithelial cells. Cells were confined to 1D using fibronectin lanes and exposed to three different treatments, namely the actin polymerisation inhibitor Latrunculin A (LatA), the ROCK inhibitor Y-27632 (Y27) and a control. Each csv file contains a number of 24h long trajectories of cells corresponding to the name of the file. The column names are: traject_id`: The trajectories are numbered, starting from 0 in each file. `time (h)`: Time in h, starting at 0h for each trajctory and ending at 24h with a temporal resolution of 2min. `x_front`: Position of the cell's front. `x_nucleus`: Position of the cell's nucleus, where x_nucleus=0 for the first time point of the trajectory `x_rear`: Position of the cell's rear. The data was analysed in our study "Cell-mechanical parameter estimation from 1D cell trajectories using simulation-based inference". Further information can be found there.
Keywords:	Biophysics, Cell Motility, Cell Mechanics
Source:	Zenodo
Publisher:	CERN
Date:	3 September 2024
Official Publication:	https://doi.org/10.5281/zenodo.13644581
Related to:	URL URL Type https://edoc.mdc-berlin.de/id/eprint/25441/ Publication https://github.com/miguelatienza/onedcelltrack Software

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