ASAP Data Repository
Published May 4, 2026 | Version v1.0
Dataset Open

Datasets for Belal et al. 'Cholinergic interneuron control of GABAergic circuits targeting spiny projection neurons is disrupted in parkinsonian models'

Authors/Creators

  • 1. Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
  • 2. Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815

Contributors

Project leader:

  • 1. Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA
  • 2. Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815
  • 3. Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ USA
  • 4. School of Biosciences, Cardiff University, Cardiff, UK
  • 5. Department of Internal Medicine, University of Michigan Medical School. Ann Arbor, MI, USA
  • 6. Peter O'Donnell Jr. Brain Institute, Departments of Neurology and Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Description

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 GitHub
https://github.com/vernonclarke/msNEURON_Belal2026
 
The computational modeling code is archived on Zenodo  
https://doi.org/10.5281/zenodo.20705696

Files

README.md

Files (257.4 MB)

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Additional details

Funding

Aligning Science Across Parkinson's
Distributed circuit dysfunction underlying motor and sleep deficits in a progressive mouse model of Parkinson’s disease ASAP-020551
National Institutes of Health
Dopaminergic and Muscarinic Signaling in the Striatum R37NS034696
JPB Foundation
Molecular and Cellular Mechanisms of Parkinson's Disease GR- 2021-2960

Software

Repository URL
https://github.com/vernonclarke/analysis_Belal2026
Programming language
Python , R
Development Status
Active