Sylvia E. Le Dévédec

This study develops a method to generate functional mammary gland organoids from human induced pluripotent stem cells, showing they can form layered epithelium and respond to hormonal signals.

This study identifies metabolic targets in breast cancer by analyzing multi-omics data from cell lines, revealing subtype-specific dependencies and potential drug targets.

The paper develops a mathematical model to study how DNA damage affects cell cycle progression, finding that polyploidisation is a key response in HepG2 cells.

This study evaluates normalization strategies for lipidomic data in cell line panels, finding that data-based approaches improve replicate similarity but may introduce artifacts.

H5CellProfiler is an R package that enables user-friendly analysis of large single-cell datasets on a local desktop with efficient memory usage and track labeling.

This study investigates how cancer cell density affects migration speed and persistence in TNBC cells using experimental data and computational modeling.

This paper presents standardization efforts for cell migration data to improve data sharing and analysis.

This study compares proliferation and migration transcriptomic signatures in breast cancer, finding migration is more strongly linked to patient survival.