Chwee Teck Lim

This study investigates how theca cell mechanosensing and extracellular matrix properties regulate ovarian follicle development in mice.

This study identifies fibrillar adhesions as the primary integrin complexes that respond to matrix topography, forming independently of focal adhesions.

This paper introduces a graphene-based probe for high-density, long-term neuronal recording at neuronal density, demonstrating reliable signal capture and connectivity analysis in vivo.

The paper identifies a TRPM7-Annexin A1 pathway that enables circulating tumor cells to adapt to fluid shear stress in capillaries, facilitating metastasis.

The paper shows that acute chromatin decompaction increases nuclear stiffness in some cells but not others, depending on their ability to recompact chromatin.

The paper uses deep generative networks to predict nuclear position from actin filament arrangements in cells, achieving over 70% accuracy in localization.

The paper curates 11 merged microarray datasets for cancer research, showing they align with TCGA data and support machine learning models for cancer classification.

The paper identifies common matrisome variations linked to tumor genotypes and immunophenotypes across cancers using a unified data resource.