Gillian M. Morrison

Local Tumor Microenvironment Niches Correlate with Survival and Immunotherapy Response in Human Glioblastoma

The paper identifies six distinct tumor microenvironment niches in glioblastoma that correlate with patient survival and immunotherapy response.

A comprehensive pharmacological survey across heterogeneous patient-derived GBM stem cell models

This study screens a large compound library across patient-derived GBM stem cells to identify effective drugs targeting tumor heterogeneity and presents validated hits for further exploration.

Single cell proteomic analysis defines discrete neutrophil functional states in human glioblastoma

The paper uses single cell proteomic analysis to identify distinct functional states of neutrophils in human glioblastoma, revealing clusters with pathogenic and anti-tumorigenic properties not detectable by scRNA-seq.

Drug combinations targeting FAK and MEK overcomes tumour heterogeneity in glioblastoma

This study identifies a synergistic combination of FAK and MEK inhibitors that effectively targets glioblastoma heterogeneity and improves therapeutic outcomes.

Machine learning recognises senescence in glioblastoma and discovers senescence-inducing compounds

The paper uses machine learning to identify senescent glioblastoma cells and discovers compounds that induce senescence in these cells.

Oncogene expression from extrachromosomal DNA is driven by copy number amplification and does not require spatial clustering

The paper investigates oncogene expression from extrachromosomal DNA in glioblastoma and finds that copy number amplification, not spatial clustering, drives high transcriptional output.