Data accompanying the publication: Quantification of GTPase cycling rates of GTPases and GTPase : effector mixtures using GTPase Glo assays

doi: 10.4121/ac196f25-1c20-4c0c-a0b9-f01cd3fadc45.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/ac196f25-1c20-4c0c-a0b9-f01cd3fadc45
Datacite citation style:
Tschirpke, Sophie; Daalman, Werner; Laan, Liedewij (2024): Data accompanying the publication: Quantification of GTPase cycling rates of GTPases and GTPase : effector mixtures using GTPase Glo assays. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/ac196f25-1c20-4c0c-a0b9-f01cd3fadc45.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 3 - 2024-04-22 (latest)
version 2 - 2024-01-22 version 1 - 2023-11-27
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time coverage
2022-2023
licence
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The publication describes how to use and analyse data generated with the GTPase assay 'GTPase-Glo assay' by Promega. The data set exemplifies the protocol steps (input, analysis code, output files) described in the accompanying publication, using 2 concrete examples. The data set contains the following files: (1) assay data (luminescence/ amount of remaining GTP for various time points and GTPase enzyme concentrations) for Cdc42 and Ras. (2) a python scirpt used to reformat the data. (3) matlab code for data analysis. (4) output data (rates and plots) that the matlab code generates.

history
  • 2023-11-27 first online
  • 2024-04-22 published, posted
publisher
4TU.ResearchData
format
xlsx, mat, m, ipynb, tiff, pdf
funding
  • funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (grant agreement 758132) (grant code 758132) European Research Council
  • funding from the Netherlands Organization for Scientific Research (Nederlandse Organisatie voor Wetenschappelijk Onderzoek) through a Vidi grant (016.Vidi.171.060) (grant code 016.Vidi.171.060) Netherlands Organization for Scientific Research
organizations
TU Delft, Faculty of Applied Sciences, Department of Bionanoscience, Liedewij Laan Lab

DATA

files (5)