Benjamin E. Mead

The paper shows chronic metabolic stress in liver cells drives developmental programs and functional loss, mirroring tumor states and predicting poor cancer survival.

The paper introduces a method to compress phenotypic screens using computational deconvolution, demonstrating increased efficiency and applicability to complex multicellular models.

This study uses scRNA-seq to analyze human breast milk cells over lactation, identifying cell type shifts and functional changes linked to time and maternal factors.

The paper introduces a method to spatially label and isolate cells using photoactivatable dyes, demonstrating its application in organoids and tissue sections to study spatial gene expression and cell behavior.