Yunlong Y. Jia

This paper introduces scRICH, a framework for analyzing cell-cell communication in single-cell and spatial transcriptomics data, showing its ability to capture communication heterogeneity and link it to cell fate decisions.

The paper develops a pigmented human epidermal equivalent model and shows it has enhanced differentiation potential compared to conventional models.

ESPRESSO provides high-dimensional spatiotemporal phenotyping of organelles using fluorescent labeling and advanced microscopy, enabling analysis of cell states, stress response, and immune cell polarization.

The paper introduces a nanobody-based method to capture and visualize binary protein complex interactions in living cells, identifying new regulators of TAZ activity.

This study uses single-cell and spatial transcriptomics to analyze vulvar lichen sclerosus, identifying molecular changes and signaling pathways involved in the disease.

The paper discusses the Cell-PCA screen's role in analyzing cellular interactomes and identifies areas for optimization to maintain its relevance with advancing biotechnology.

This study identifies distinct mechanisms for sebaceous gland self-renewal and regeneration, showing that injury triggers replacement by hair follicle-derived stem cells and FGFR-dependent regeneration.

This study uses single-cell RNA sequencing to compare human skin equivalent organoids with in vivo epidermis, identifying both similarities and unique features in their cellular states and differentiation trajectories.

The paper introduces Cell-PCA, a live cell protein complementation assay, to probe human HOX interactomes, revealing novel cofactors and molecular properties.