The state and behavior of a cell can be influenced by both genetic and environmental factors. In particular, tumor progression is determined by underlying genetic aberrations as well as the makeup of the tumor microenvironment. Quantifying the contributions of these factors requires new technologies that can accurately measure the spatial location of genomic sequence together with phenotypic readouts. Here we developed slide-DNA-seq, a method for capturing spatially-resolved DNA sequences from intact tissue sections. We demonstrate that this method accurately preserves local tumor architecture and enables de novo discovery of distinct clonal lineages and their copy number alterations. We then apply slide-DNA-seq to a mouse metastasis model and a primary human cancer, revealing that cells of different clonal lineages are confined to distinct spatial regions. Moreover, through integration with spatial transcriptomics, we uncover distinct sets of genes that are associated with clone-specific genetic aberrations, the local tumor microenvironment, or both. Together, this multi-modal spatial genomics approach provides a versatile platform for quantifying how cell-intrinsic and extrinsic factors contribute to gene expression, protein abundance, and other cellular phenotypes.
| Figure(s)* | Sample | Tissue | Modality |
| Figure 1, S3, S5, S6, S10 | mouse_cerebellum_1_dna_200114_14 | mouse cerebellum | slide-DNA-seq |
| Figure S4 | mouse_cerebellum_1_dna_190201_21 | mouse cerebellum | slide-DNA-seq |
| Figure 1, S5, S7, S9 | mouse_liver_met_1_dna_191114_06 | mouse liver metastasis | slide-DNA-seq |
| Figure S9 | mouse_liver_met_1_dna_191114_05 | mouse liver metastasis | slide-DNA-seq |
| Figure 2, S7, S12 | mouse_liver_met_2_dna_200114_10 | mouse liver metastasis | slide-DNA-seq |
| Figure 2, S11 | mouse_liver_met_2_rna_201002_04 | mouse liver metastasis | slide-RNA-seq v2 |
| Figure 2, S11 | mouse_liver_met_2_snrna_200000_01 | mouse liver metastasis | snRNA-seq |
| Figure 3, S13 | human_colon_cancer_3_dna_191204_19 | human primary colorectal cancer | slide-DNA-seq |
| Figure 3, S13 | human_colon_cancer_3_scwgs_200227_01 | human primary colorectal cancer | scWGS |
| Figure 3, S13 | human_colon_cancer_3_scwgs_210402_02 | human primary colorectal cancer | scWGS |
| Figure 4, S14 | human_colon_cancer_4_dna_200114_13 | human primary colorectal cancer | slide-DNA-seq |
| Figure 4, S14, S15 | human_colon_cancer_4_rna_200102_06 | human primary colorectal cancer | slide-RNA-seq v2 |
| N/A | mouse_cerebellum_dna_4x_201027_17 | mouse cerebellum | slide-DNA-seq 4x variant |
| N/A | human_colon_cancer_dna_4x_201027_12 | human primary colorectal cancer | slide-DNA-seq 4x variant |
*only lists figures in which in the full bead array appears, statistics for all samples can be found in Supplementary Table 2 and Extended Data Fig. 3
