GeoMx Cancer Transcriptome Atlas (CTA) mRNA assay on 191 ROIs from a NSCLC tumor.

Dense spatial gene expression profiling of a NSCLC tumor. This study was part of Danaher & Kim et al., "Advances in mixed cell deconvolution enable quantification of cell types in spatially resolved gene expression data" Overall design: Five NSCLC tumors were profiled with the GeoMx Cancer Transcriptome Atlas RNA assay. 20-24 ROIs were chosen from each tissue, and tumor (PanCK+) and microenvironment (PanCK-) AOIs were collected from each ROI. Matching GeoMx protein data was collected on the same tissues and ROIs.

非小细胞肺癌（Non-Small Cell Lung Cancer, NSCLC）肿瘤的高密度空间基因表达谱分析。本研究是Danaher与Kim等人发表的题为"混合细胞解卷积技术进展实现空间分辨基因表达数据中的细胞类型定量"的学术论文的组成部分。总体实验设计：采用GeoMx癌症转录组图谱RNA检测技术对5例非小细胞肺癌肿瘤样本进行表达谱分析；每例组织样本选取20至24个感兴趣区域（Regions of Interest, ROIs），并从每个ROI中采集泛细胞角蛋白阳性（PanCK+）的肿瘤区域与泛细胞角蛋白阴性（PanCK-）的微环境目标区域（Areas of Interest, AOIs）；同步采集了相同组织样本及ROIs的匹配GeoMx蛋白检测数据。