Ryan H. Boe

This study uses spatial transcriptomics to show that therapy resistance in melanoma is shaped by both intrinsic cell states and the tumor microenvironment, with distinct resistance programs coexisting in tumors and associated with immune signatures.

The paper shows that therapy-resistant cancer cell clones have distinct drug sensitivity profiles, and combinations targeting these subpopulations can effectively eliminate resistant populations.

SpaceBar enables clone tracing and spatial transcriptomics profiling by using synthetic barcodes to label cells and analyze gene expression in situ.

The paper shows melanoma cells develop therapy resistance through AP-1-mediated cellular memories that encode transient gene expression and chromatin changes.

The paper develops a mathematical framework to model allelic correlation and noise transmission in genetic networks, finding trade-offs between noise transmission and signal responsiveness.