Datasets for Belal et al. 'Cholinergic interneuron control of GABAergic circuits targeting spiny projection neurons is disrupted in parkinsonian models'
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Processed dataset and workflows When unzipped, each figure folder has its own README, all scripts/code, processed data files, SVG panels and statistics for that figure Figure 1: gabazine sensitivity of ChI-evoked PSCs in dSPNs and iSPNs Figure 2: ChI-evoked PSCs compared between dSPNs and iSPNs Figure 3: GABAA delta-subunit CRISPR knockdown and the slow PSC component + NGFI-evoked GABAergic currents in SPNs Figure 7: GRAB-ACh3.0 imaging of ChI-evoked ACh release in MCI-Park and control mice Figure 8: ChI-evoked GABAergic PSCs in MCI-Park and control mice Figure 9: ChI-evoked GABAergic input after 6-OHDA MFB lesion Figure 10: NPY-interneuron-evoked input after 6-OHDA MFB lesion Figure 11: RNAscope and ChI to NGF PSC analysis, including Figure S6 RNAscope data Figure S5: independent 6-OHDA ChI-evoked PSC study Folder layout Most figure folders contain *.R or *.ipynb analysis scripts xlsx/ processed spreadsheets and csv tables svg/ figure panels and fit diagnostics Workflow For electrophysiology figures, the usual workflow is: 1. Download the raw NWB files from DANDI Archive DANDI:001832 2. Run the figure data-processing script to create averaged traces in `xlsx/` 3. Run the figure analysis script to fit traces and create summary spreadsheets `xlsx` and `csv` formats 4. Run the figure graphs script to plot SVG panels and write statistics tables Figure 7 imaging and Figure 11 RNAscope use related workflows described in their figure READMEs Raw data and analysis code availability Raw NWB data are available from the DANDI Archive as `DANDI:001832` https://doi.org/10.48324/dandi.001832/0.260611.2102 Analysis code is available on GitHub https://github.com/vernonclarke/analysis_Belal2026 The analysis code is archived on Zenodo https://doi.org/10.5281/zenodo.20658500 Computational modeling figures Figure 4, Figure 5, Figure 6 and Figure S1-S4, are not included in this processed data folder. See the GitHub repository and Zenodo analysis-code archive listed below for these workflows Computational modeling code is available on GitHubhttps://github.com/vernonclarke/msNEURON_Belal2026 The computational modeling code is archived on Zenodo https://doi.org/10.5281/zenodo.20705696



