Michael D.E. Sewell

This paper develops a simplified protocol to generate human iPSC-derived macrophage-like cells (iMacs) that exhibit enhanced phagocytic and TREM2-related functions, making them a useful model for studying macrophage biology in Alzheimer's and other diseases.

This study identifies redox-dependent binding configurations of NAD(P)H in live cells using FLIM and modeling, revealing how redox states influence fluorescence decay.

The paper identifies two distinct neuroinflammatory signatures in ALS cohorts using gene expression analysis and validates their association with clinical metrics.

The paper uses random forest modelling to identify microglial activation as a key classifier for C9orf72-related ALS and shows spatial FUS staining changes predict disease status.