Robert F. Gruener

Multidimensional Single-Cell Transcriptomic Profiling of Uterine Leiomyosarcomas Reveals Distinct Tumor States with Inferred Therapeutic Vulnerabilities

This study uses single-cell and spatial transcriptomics to identify distinct tumor states in uterine leiomyosarcomas and proposes drug targets based on these states.

Heterogeneous therapy-resistant cancer cells have distinct and exploitable drug sensitivity profiles

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

Inferring therapeutic vulnerability within tumors through integration of pan-cancer cell line and single-cell transcriptomic profiles

This paper introduces scIDUC, a computational framework that predicts drug response at the single-cell level by integrating single-cell transcriptomics with pan-cancer cell line data, showing high accuracy in identifying therapeutic vulnerabilities.

Cooperativity between H3.3K27M and PDGFRA poses multiple therapeutic vulnerabilities in human iPSC-derived diffuse midline glioma avatars

This study develops human iPSC-derived tumor models to investigate the cooperative effects of H3.3K27M and PDGFRA mutations in DMG, identifying therapeutic vulnerabilities.