G. Morrison

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.

On-chip perivascular niche with patient-derived glioma cells

This paper develops a 3D microfluidic model of human blood vessels to study interactions between glioma stem-like cells and endothelial cells, showing differences in gene expression and cell migration based on vessel type.

The white matter is a pro-differentiative microenvironment for glioblastoma

This study identifies the white matter as a differentiative niche for glioblastomas, showing that tumour cells in contact with it acquire pre-oligodendrocyte-like fate, leading to reduced proliferation and invasion.

An efficient and scalable pipeline for epitope tagging in mammalian stem cells using Cas9 ribonucleoprotein

The paper introduces an efficient, selection-free, and scalable CRISPR/Cas9-based pipeline for epitope tagging in mammalian stem cells, achieving knock-in efficiencies of 5-30%.