Haowen Zhou

ClustSIGNAL improves spatial transcriptomics clustering by adapting smoothing based on neighbourhood complexity, enabling scalable analysis of large datasets.

The paper profiles the subcellularly resolved 3D translatome in mouse oocytes and early embryos, revealing spatially controlled translation patterns and embryo asymmetry.

This study develops ZBTB11 degraders to target metabolic vulnerabilities in K-Ras inhibitor-resistant PDAC, showing improved anti-cancer activity with reduced toxicity to neurons.

The paper introduces spatialMNN, an algorithm that integrates spatial transcriptomics data to identify spatial domains by incorporating 2D spatial information into mutual nearest neighbors analysis.

The paper integrates single-cell multi-omics and 3D genome data from human hearts to identify gene regulatory changes and causal genetic contributors in heart failure.

The paper introduces RIBOmap, a 3D in situ method to profile mRNA translation at single-cell and spatial resolutions, revealing translation dependencies on cell cycle and subcellular localization in brain tissue.

This paper introduces TEMPOmap, a method to profile subcellular RNA kinetics in single cells, revealing kinetic gene clusters with distinct functional roles.

This paper introduces in situ electro-sequencing to map gene expression and electrophysiology in 3D tissues, improving cell type analysis and developmental trajectory reconstruction.

The paper introduces STARmap PLUS to map single-cell transcriptional states and disease markers in AD mouse models, revealing spatial relationships between cell types and pathological features.

ClusterMap is a framework for analyzing spatial gene expression data, clustering RNAs into subcellular structures and tissue regions across multiple dimensions.

This study shows SARS-CoV-2 can infect brain cells and organoids derived from human induced pluripotent stem cells, leading to cell death and inflammation, and suggests using these models to study the virus's effects on the brain.