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

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.