Deciphering tissue pathogenesis with spatial sequencing

Deciphering how tissues maintain function and how they fail in disease requires methods that capture molecular profiles within their native spatial context. While bulk and single-cell approaches have transformed biology, they lose the critical information encoded in tissue architecture. Spatial sequencing now enables high-resolution maps of gene expression and other molecular features directly in situ, opening new avenues to study pathogenesis.
In this talk, I will present advances in spatial sequencing technologies and computational frameworks developed by my group to dissect tissue organization and disease evolution. I will highlight applications ranging from region-specific chromatin and transcriptional programs in the brain, to the spatial ecosystems that drive cancer progression and therapeutic resistance. By integrating molecular profiling, device innovation, and machine learning, these approaches provide a foundation for predictive models of tissue remodeling in health and disease.
Together, these insights illustrate how spatial sequencing is reshaping our ability to understand and ultimately intervene in tissue pathogenesis.