Luke T. G. Harland

This paper introduces wSIR, a scalable supervised dimensionality reduction method for spatial transcriptomics data, which retains predictive power of spatial coordinates and is demonstrated on breast cancer and embryonic development datasets.

The paper investigates how Axin1 and Axin2 regulate WNT signaling to specify distinct mesoderm lineages during gastrulation.

This study creates a spatiotemporal atlas of mouse gastrulation and early organogenesis using spatial transcriptomics and scRNA-seq, revealing gene expression dynamics and mesodermal fate decisions.

This study shows that STAT3 signaling is crucial for tissue expansion during postimplantation mouse development by promoting cell proliferation and differentiation.

The paper identifies Eomes's role in directing the formation of distinct extra-embryonic hematovascular tissues in mice, revealing functional and mechanistic diversity in their development.

The paper uses scRNA-Seq and computational methods to predict and validate differentiation trajectories during early mammalian organogenesis, showing agreement between computational predictions and experimental outcomes.

The paper develops statistical tools to analyze gene knockouts in mouse embryos and applies them to study developmental disruptions and cancer therapy responses.