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

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

Dataset

x choose version: version 2 - 2024-01-22 version 1 - 2023-11-27

• Biochemistry and Cell Biology
• Biological Sciences

Cdc42, GTPase, GTPase activity, in vitro, Ras, rates

2022-2023

CC BY-NC 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sophie Tschirpke , Werner Daalman , Liedewij Laan

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.

• 2023-11-27 first online

• 2024-04-22 published, posted

4TU.ResearchData

xlsx, mat, m, ipynb, tiff, pdf

Quantification of GTPase cycling rates of GTPases and GTPase : effector mixtures using GTPase Glo assays

• https://doi.org/10.1101/2023.11.24.568589

• 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

TU Delft, Faculty of Applied Sciences, Department of Bionanoscience, Liedewij Laan Lab