Based on https://github.com/jebiclab/SingleCellAnalysis-murine-inflammatory-skin-conditions updating the code so it runs on the latest versions of Seurat v4.0.4 and R v4.1.1
Single-cell profiling reveals divergent, globally patterned immune responses in murine inflammatory skin conditions
Code to analyze RNA sequencing data and generate figures in Yale, Chris, AJ et al (Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation).
Raw and normalized expression matrices are deposited at the GEO under accession number GSE149121, while the processed data with cell identites is saved at Zenodo with https://zenodo.org/record/4670388#.YG57y69KiUk
doi:https://doi.org/10.1016/j.isci.2020.101582
Produced in the Cheng/Cho Lab, Dept. of Dermatology, University of California, San Francisco