Cortical astrocyte Histamine-1-receptors regulate intracellular calcium and extracellular adenosine dynamics across sleep and wake — Figure Scripts This repository contains MATLAB scripts and Jupyter notebooks to reproduce all main and supplemental figures from the manuscript (title above) using datasets hosted on Dryad. Each script/notebook includes a brief usage guide and clearly marked paths you can edit to point to your downloaded data. Cite Code: Zenodo DOI 10.5281/zenodo.16809849 Data: Dryad DOI 10.5061/dryad.2280gb64x Contents Fig1_script_Zenodo.m → Generates: Figure 1 from Dryad file: Fig1_DoseResponse_data.mat Figure S1 from Dryad file: Fig1_DoseResponse_data.mat ------------------------------------------------------------ Fig2_script_Zenodo.m → Generates: Figure 2 from Dryad file: Fig2_H1Rpharm_data.mat ------------------------------------------------------------ Fig4_script_Zenodo.m → Generates: Figure 4 from Dryad files: Fig4_H1RKO_HA_data.mat, Fig4_H1RKO_NE_postHA_data.mat, Fig4_H1RKO_NE_data.mat Figure S3 from Dryad file: Fig4_H1RKO_HA_data.mat ------------------------------------------------------------ Fig5_script_Zenodo.ipynb → Generates: Figure 5 from Dryad files: Fig5_H1RKO_NE.mat, Fig5_H1RKO_NE_postLowHA.mat ------------------------------------------------------------ Fig6_Fig7_script_Zenodo.ipynb → Generates: Figure 6 from Dryad files: Fig6_KO_jRGECO, Fig6_Fig7_KO_grabAd, Fig6_Fig7_WT_grabAd, Fig6_WT_grabHA Figure 7 from Dryad files: Fig6_Fig7_KO_grabAd, Fig6_Fig7_WT_grabAd Figure S4 from Dryad files: Fig6_WT_grabHA ------------------------------------------------------------ Fig8_script_Zenodo.ipynb → Generates: Figure 8 from Dryad files: Fig8_ipsi_KO, Fig8_ipsi_SHAM Figures S6–S7 from Dryad files: Fig6_KO_jRGECO, Fig6_Fig7_KO_grabAd, Fig6_Fig7_WT_grabAd, Fig6_WT_grabHA ------------------------------------------------------------ stateScoring_photomProcessing_script_Zenodo.ipynb → Completes sleep/REM scoring and photometry processing for recordings in Dryad bundle needScoring_photomprocessing.zip ------------------------------------------------------------ matlabFunctions_Zenodo.zip → Helper MATLAB functions used by the MATLAB figure scripts ------------------------------------------------------------ inVivoAnalysis_requirements_Zenodo.zip → Conda environment and requirements files for all notebooks (e.g., H1R_SW_analysis_environment.yml, H1R_SW_analysis_requirements.txt) ------------------------------------------------------------ Requirements MATLAB: R2024a Update 2 (build 24.1.0.2470319)Tested OS: Windows 10 (build 19045) (others may work) Required MATLAB toolboxes Image Processing Toolbox (AQuA event detection/ROI handling) Statistics and Machine Learning Toolbox (AQuA utilities) Signal Processing Toolbox (for functions like findpeaks, filtering) Python: 3.12.3Pinned packages: numpy==1.26.4, pandas==2.2.2, scipy==1.13.0, matplotlib==3.8.4, jupyter==1.0.0, ipykernel==6.29.3(Or create the conda env from the provided H1R_SW_analysis_environment.yml.) Quick Start Download the data from Dryad (DOI above) and keep filenames as provided. Open the corresponding script/notebook here; read the first “Setup/README” cell, and set input paths to your local Dryad folders. Run to regenerate the figure panels. Jupyter environment (conda)Unzip inVivoAnalysis_requirements_Zenodo.zip, then run: conda env create -f H1R_SW_analysis_environment.yml conda activate vt_analysis_reconstituted_2 # or: conda env create -f ... -n your_name Notes Some cohorts contribute to multiple figures (e.g., GRAB-Ad + jRGECO); filenames reflect this. If a script can’t find a file, double-check you’ve placed the Dryad files in the paths indicated at the top of each script/notebook. Co-authors Drew Willoughby, Vincent Tse, and Maxine Levesque contributed to in vivo analysis scripts. For questions or issues, contact:Charlotte Taylor — taylor.crm2016@gmail.com — ORCID: https://orcid.org/0000-0002-4167-2546