Pei‐Hsun Wu

The paper presents a 3D multi-omic framework to detect and characterize ovarian cancer precursors in fallopian tubes, identifying TP53 mutations in microscopic lesions.

This study identifies functionally distinct senescent cell subpopulations based on cell cycle status, showing G2-arrested cells secrete more IL-6 and are more sensitive to senolytic treatment.

This study shows that 3D assessments are necessary to accurately determine tissue composition and neoplastic content, as 2D methods under-sample spatial heterogeneity.

The paper profiles the immune microenvironment of PanINs in 3D at single-cell resolution to understand inflammation's role in cancer progression and finds immune heterogeneity and correlations with PanIN grade.

This paper uses a generative AI model to improve 3D tissue imaging by interpolating and restoring images, enhancing resolution and reducing artifacts across multiple modalities and species.

This study shows that substrate stiffness affects the development and strength of senescence features in fibroblasts, with mechanosensitive regulation of key biomarkers.

This paper develops velocity receptors (VRs) to enhance CAR T cell migration through solid tumors, improving tumor infiltration and survival.

This paper introduces SpaceMarkers, a method to infer molecular changes from cell-cell interactions in spatial transcriptomics data, applied to tumor-immune interactions in metastasis and immunotherapy.