Simon John Leedham

MuSpAn, a Python library of over 100 spatial methods, quantifies multiscale tissue organisation and maps cancer-associated fibroblast subtypes to distinct immune niches in mouse colorectal tumours.

This study identifies stromal prostaglandin E2 as a key regulator of cell-fate plasticity in colorectal cancer, showing it converts chemosensitive stem cells into chemorefractory, prometastatic cells.

This study shows that poly(I:C) treatment in CMS4 colorectal tumors induces a pro-inflammatory, CMS1-like regenerative state and identifies biomarkers for predicting therapeutic response.

This study identifies clonal persistence, tertiary lymphoid structures (TLS) engagement, and coordinated B-T cell immune surveillance as hallmarks of durable tumour control in a long-term survivor of metastatic ccRCC.

Pathological epithelial GREM1 expression induces therapeutically reversible ectopic stem cell niches through stromal remodelling.

The paper develops spatial descriptors using mathematical tools to analyze cell interactions in colorectal cancer progression and demonstrates their utility in identifying disease-related pathways.

MouSR is an open-source tool for rapid transcriptomic analysis of human or mouse data, enabling biological discovery without programming expertise.

The paper introduces rapidly oscillating molecular clocks to quantify human stem cell dynamics and finds differences in stem cell replacement rates between small intestine and colon, as well as effects of germline mutations.

The paper models tumor-immune dynamics in colorectal cancer progression, showing immune evasion enables transition from immune-hot adenomas to immune-cold carcinomas.