Multi-modal transcriptomic and spatial data for CC10/SCGB1A1 loss in the GGO-to-solid transition of lung adenocarcinoma

This record contains the processed transcriptomic and spatial data supporting the study of CC10/SCGB1A1 loss during the transition from GGO-predominant to solid lung adenocarcinoma (LUAD). Three complementary modalities are included: bulk RNA sequencing, laser capture microdissection–based RNA sequencing (LCM-seq), and single-cell RNA sequencing. Contents BulkRNA/ — Bulk RNA-seq of GGO-predominant and solid LUAD (raw and DESeq2-normalized counts, differential expression results for Solid vs. GGO, and GO/KEGG/Reactome gene enrichment results). Supports Figure 2. LCM/ — Region-resolved LCM-seq of core and peripheral regions in normal, GGO-predominant, and solid LUAD (per-ROI expression, differential expression results, gene enrichment results, and ROI annotation image with image-based site-scoring output). Supports Figure 3. scRNA/ — Processed single-cell RNA-seq dataset as a Seurat object (CC10_scRNA.rds), including cell-type annotation and disease-state labels (ANT, mixed-GGO, solid). Supports Figures 4 and 5. Group labels: ANT, tumor-adjacent non-tumor lung; GGO/mixed-GGO, GGO-predominant lesions; Solid, solid LUAD. LCM regions are further divided into core and peripheral compartments. Software: DESeq2 (v1.32.0), clusterProfiler (v4.8.1), Seurat (v5.1.0), Harmony (v0.1.1). Gene Ontology active-tree enrichment was performed with HARMONIC (https://github.com/ERASMUSlab/HARMONIC).