Spatial single-cell profiling of cutaneous lupus lesions and non-lesional skin pre- and post-anifrolumab treatment

1. anifrolumab_xenium_skin_14_samples.RDS Seurat object generated from Xenium Skin (10x Genomics) spatial transcriptomics profiling of cutaneous lupus erythematosus.The object contains 14 skin biopsies, representing pre- and post-treatment skin biopsies, including: L: pre-treatment lesional samples (3) TL: post-treatment lesional samples (4) NL: pre-treatment non-lesional samples (3) TNL: post-treatment non-lesional samples (2) H: Healthy controls (2) Each cell includes spatial coordinates and the following key metadata fields: x, y — physical spatial coordinates (in microns) geometry — Baysor-derived polygon segmentation for each cell dis_big — sample condition label (L, TL, NL, TNL, H) paper_id — patient identifier used in the manuscript sp_annotation — major cell type classification sp_type — fine-grained cell states 2. anifrolumab_5k_8samples.RDS Spatial Seurat object generated from Xenium 5K (10x Genomics) high-resolution spatial transcriptomics profiling of cutaneous lupus erythematosus (CLE) before and after anifrolumab treatment.The dataset includes 8 skin biopsies, representing matched pre- and post-treatment samples: L: pre-treatment lesional samples (4) TL: post-treatment lesional samples (4) Each cell contains detailed spatial and transcriptional annotations: x, y — physical spatial coordinates dis_big — sample condition label (L, TL) paper_id — patient identifier used in the manuscript sp_annotation — major cell type classification sp_type — fine-grained cell states