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Dataset for cell-to-cell communications

Citation Author(s):
Jorge Torres Gomez (TU Berlin)
Roya Khanzadeh (Johannes Kepler University Linz)
Stefan Angerbauer (Johannes Kepler University Linz)
Lisa Y. Debus (TU Berlin)
Pit Hofmann (Technische Universität Dresden)
Osman Tugay Başaran (TU Berlin)
Sebastian Lotter (Alexander-Universität Erlangen-Nürnberg (FAU))
Bige Deniz Unluturk (Michigan State University)
Sergi Abadal (Universitat Politècnica de Catalunya)
Frank H.P. Fitzek (Technische Universität Dresden)
Werner Haselmayr (Johannes Kepler University Linz)
Robert Schober (Alexander-Universität Erlangen-Nürnberg (FAU))
Falko Dressler (TU Berlin)
Submitted by:
Jorge Torres
Last updated:
DOI:
10.21227/vv2r-qn28
Data Format:
AI-Powered Dataset Intelligence is available for this dataset exclusively to institutional subscribers.

Abstract

The dataset evaluates the number of vesicles observed in a Tcell that is close to a tumor cell. It stores the number of vesicles over time and for various distances between the Tcell and the tumor cell. The dataset is a matrix stored in a "mat" file (Matlab), where each row reflects a distance and each column a time index. The distance is in the range of 2 to 10 micrometers, and the time is in the range of 0 to approximately 160 min. We also provide the code to generate this dataset and to plot the corresponding curves.

Instructions:

The dataset is given within the Data_cell2cell.zip file, which comprises a matrix stored in a "mat" file (Matlab). In this matrix, each row reflects a distance, and each column is a time index. The distance is between 2 and 10 micrometers, and the time is between 0 and approximately 160 min. The values in the matrix refer to the amount of vesicles counted at the Tcell due to inherent production and the interaction with the tumor cell. The second file is Matlab code to reproduce this dataset. The master file of the code is the file "Dataset_compiler.mlx", which calls to the code file "Parameters.mlx". The numeric parameters for the dataset are fully documented within the "Parameters.mlx" file, such as the diffusion coefficient of vesicles, the radius of the Tcell and the cancer cells, the distance between the two cells, reaction rates, etc.

Funding Agency
German Research Foundation (DFG)
Grant Number
DR 639/21-1