DOI: 10.48436/dccvp-w7q74
title: Data related to article "CD4+ T-cells create a stable mechanical environment for force-sensitive TCR:pMHC interactions"

description: UPDATE: data_force.zip has been accidentally omitted from this record. Please refer to the updated record for the full dataset.

This record contains all data, artwork, and code used to create figures and tables in the article Schrangl et al. (2025): “CD4+ T-cells create a stable mechanical environment for force-sensitive TCR:pMHC interactions”.

Dataset structure



schrangl2025_force_v1.zip contains source code for data file handling, high-level analysis, and figure generation

data_force_raw.part1.zip and data_force_raw.part2.zip contain raw single-molecule fluorescence microscopy data from force sensor experiments

data_force.zip contains per-experiment single-molecule FRET tracking datasets derived from the above using the fret-analysis software

data_lifetime_raw.zip contains raw single-molecule fluorescence microscopy data from TCR:pMHC bond lifetime measurements

data_lifetime.zip contains per-experiment single-molecule FRET tracking data derived from the above using the smfret-bondtime software

data_supplementary_raw.zip contains raw data for supplementary figures

data_supplementary.zip contains analysis data for supplementary figures


Installation





Install the uv Python package and project manager. Note that many Linux distributions provide packages for easy installation. Version 0.7.13 was used to produce the published figures.




Create a new folder and download the data archives (data_force.zip, data_force_raw.part1.zip, data_force_raw.part2.zip, data_lifetime.zip, data_lifetime_raw.zip, data_supplementary.zip, data_supplementary_raw.zip) into that folder.




Download and unpack schrangl2025_force_v1.zip somewhere on your hard drive.




Using a terminal, navigate into the unpacked folder and execute

uv sync

to obtain required Python packages.




Execute

uv run python data_utils/unpack.py --input-dir <download_folder> --output-dir data

where <download_folder> is the folder into which the data archives were downloaded. Note that this will unpack all files with extension .zip, so make sure that only downloaded files are present in the folder.

Alternatively, any application supporting zstd-compressed zip archives (such as 7z) can be used.

After unpacking, the data folder should contain subfolders force, force_raw, lifetime, lifetime_raw, supplementary, and supplementary_raw consisting of the data files.




Optionally delete the folder containing the downloaded data archives to free disk space.



Generation of figures and tables

The SCons software construction tool is used to execute Python scripts for data analysis and figure/table generation. SCons keeps track of dependencies and only reruns Python scripts if either the inputs or the scripts themselves change.

To build figures and tables, execute

uv run scons

This will



generate a cache of single-molecule force data to speed up subsequent analysis

analyze cached force data and lifetime data

generate figures and tables from analysis results


All created files are placed in the output subfolder. On a current PC, this takes about 15 minutes to complete.

To clear the output subfolder, run

uv run scons --clean

For further information, consult the SCons documentation and inspect the SConscript file.

Licensing

Each file in schrangl2025_force_v1.zip and data_force.zip either contains a header or is accompinied by a file with additional extension .license providing licensing information according to the REUSE specfication. As a rule of thumb,



code is subject to the BSD 3-Clause license,

minor helper files are put into the public domain,

other files (this README, illustrations, data) are subject to the Creative Commons Attribution 4.0 International license,


but there some exceptions, e.g. due to reuse of work created by third parties.

data_force_raw.part1.zip, data_force_raw.part2.zip, data_lifetime_raw.zip, data_lifetime.zip, data_supplementary.zip and data_supplementary_raw.zip contain



Jupyter notebooks subject to the BSD 3-Clause license and

other files (mainly data) subject to the Creative Commons Attribution 4.0 International license.


data_supplementary_raw.zip additionally contains ImageJ macros, which are BSD 3-Clause-licensed.

© 2017–2025 Lukas Schrangl <lukas.schrangl@boku.ac.at>, Florian Kellner <f.kellner@valdospan.com>, Vanessa Mühlgrabner <vanessa.muehlgrabner@meduniwien.ac.at>, Janett Göhring <janett.goehring@meduniwien.ac.at>