NIH R01 · 2025
An informatics framework for single-cell multi-omics from clinical specimens
PROJECT SUMMARY Intra-tumor heterogeneity is a significant barrier to precision oncology. Emerging single-cell and spatial profiling approaches have enabled basic research into tumor heterogeneity. However, the application of these emerging approaches to the clinical decision process is limited. There is a critical need for predictive models that integrate these novel data with existing genomics approaches and histology, to generate actionable clinical recommendations. This proposal builds on my lab’s recent work, using single-cell RNA sequencing (scRNA-seq) to map the cellular hierarchies of complex tumors. Our preliminary data extend these studies to single-cell multi-omics, integrating…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.