SAM-T integrates Atomic Force Microscopy (AFM) with Spatial Transcriptomics (ST) and single-nucleus RNA sequencing (snRNA-seq) to create a unified framework for mapping tissue stiffness and gene expression at near single-cell resolution. This novel approach enables researchers to explore the interplay between mechanical properties and transcriptional dynamics in complex tissue microenvironments, such as the tumor microenvironment (TME).
tutorial/: Contains a step-by-step tutorial and walkthrough of the SAM-T workflow, including enviornment requirements, data preparation, and analysis. All information regarding run-time, system information, and preprocessing is provided herehuman/: Scripts for analyzing human NSCLC tissue processed through SAM-T (reproduction scripts)murine/: Scripts for analyzing murine NSCLC tissue processed through SAM-T (reproduction scripts)benchmarks/: Additional benchmark testing for SAM-T (reproduction scripts)