Hanying Yan

COSIE is a computational framework that integrates multiple spatial omics modalities to generate high-resolution molecular landscapes, outperforming existing methods across diverse datasets.

This study identifies ADAMTS7's role in promoting atherosclerosis by enhancing smooth muscle cell foam cell formation via an AP-1/PU.1/CD36 pathway.

S2Omics automatically selects regions of interest from histology images to maximize molecular information content in spatial omics experiments, improving reproducibility and downstream biological discovery.

iSCALE predicts super-resolution gene expression and annotates tissue architecture in large tissues, revealing features missed by conventional spatial transcriptomics.

The paper evaluates segmentation methods in spatial transcriptomics, showing that manual review is necessary due to model-specific errors.

This study develops a method to sequence individual human DRG neuron somas, identifies 16 neuronal types, and reveals human-specific nociceptor types and potential drug targets.

The paper identifies CD200 as a specific marker for vascular smooth muscle cells and their derived cells in atherosclerosis using CITE-seq and validates it across multiple techniques.

The paper uses multimodal single-cell profiling to identify diverse monocyte subtypes and links them to cardiovascular disease risk factors.

Multi-omic and spatial profiling of 81 human kidney samples resolves four tissue microenvironments; the fibrotic one's gene signature is reported to beat histopathology at predicting outcome.

This paper demonstrates an intranasal gene therapy approach using an affinity-matured ACE2 decoy protein to prevent SARS-CoV-2 infection and its variants in animal models.