Cell of origin alters myeloid immunoreactive states in the tumor microenvironment

All datasets and scripts shown here were used to generate the findings reported in this study. The supplemental materials comprise a comprehensive, multi-modal translational data resource integrating murine and human lung adenocarcinoma (LUAD) models. Specifically, the files include annotated single-cell RNA-sequencing (scRNA-seq) and Visium spatial transcriptomic datasets, cell–cell communication analyses, trajectory inference outputs, and pathway enrichment tables. The RDS and R Markdown files contain pre-processed and annotated Seurat objects for AT1- and AT2-derived LUAD tumors, LIANA-based ligand–receptor interaction matrices, and trajectory models used to reconstruct immune and stromal cell state transitions. The R and Jupyter scripts document all computational workflows used for integration, normalization, clustering, UCell scoring, and cross-species validation. The Excel and PDF tables summarize cell-type compositions, differentially expressed genes, pathway enrichment analyses, and comparative human–mouse interaction data that support each figure in the paper. Together, these datasets form the analytical foundation of a multi-model, cross-species translational framework that bridges murine lineage-defined LUAD models with human tumor data to elucidate cell-of-origin–dependent immune and stromal remodeling within the tumor microenvironment. All results, figures, and quantitative conclusions presented in the manuscript were derived from these underlying data.