SocialVTAseq

This repo contains R code to analyze snRNA-seq data and generate figures from the accompanying publication.

Analysis scripts should be run in the following order

1. preprocessing.R
2. integrate_objects.R
3. UMAP_cluster.R
4. subset_data.R
5. findDEGs.R

Figure4.R and FigureS7.R contain code necessary to generate subpanels in the respective figures.

snRNA-seq data used in this study have been deposited at GEO and are publicly available as of the date of publication. Accession number GEO: GSE235149.

Accompanying 2-photon imaging data have been deposited at DataDryad and are publicly available at: https://doi.org/10.5061/dryad.7sqv9s4xs. Python code to analyze this data is available at https://github.com/lwillmore/SocialVTA2p.

Overlapping representations of food and social stimuli in VTA dopamine neurons. Lindsay Willmore, Adelaide R. Minerva, Ben Engelhard, Malavika Murugan, Brenna McMannon, Nirja Oak, Stephan Y. Thiberge, Catherine J. Peña, Ilana B. Witten.