Hao Zhu

The paper maps gene-by-gene-by-environment epistasis in cancer metastasis using CRISPR perturbations in mice, showing niche-dependent fitness and transcriptome convergence.

This study shows that ARID1A loss in gastric cancer affects immune evasion depending on tumor context, with different outcomes in mouse models and human subtypes.

This study shows that localized loss of G6pc1 in liver zones causes local glycogen accumulation but not systemic disease, highlighting organ-wide compensation for metabolic homeostasis.

This study maps how distinct oncogenic drivers induce unique multiscale architectural changes in liver tissue, revealing mutation-specific remodeling across cellular and mitochondrial structures.

Altair-dvOPM is an open-access microscope for large-field 3D tissue imaging, achieving micrometer resolution without custom objectives or specialized alignment.

This study identifies CLSTN3B as a driver of MASLD by promoting LD biogenesis and altering lipid partitioning between LDs and mitochondria, leading to mitochondrial dysfunction and oxidative stress.

This study introduces a deep learning model called spacer to analyze spatially resolved transcriptomics data, revealing novel insights into cellular recruitment mechanisms in tumors and heart tissue during myocarditis.

This study shows that liver cancer initiation depends on metabolic zonation but is not linked to premalignant clonal expansion.

The paper identifies somatic TYK2 mutations in TILs that enhance anti-cancer immunity and shows their therapeutic potential through mouse models.

This study shows that CLSTN3B promotes lipid droplet maturation in hepatocytes and that its deletion reduces steatohepatitis in mice, with a positive correlation between CLSTN3B expression and MASLD severity in humans.

This paper engineers protease-based protein circuits that selectively kill RAS-mutant cancer cells and suppress tumors, showing resistance reduction and cytotoxicity independent of oncogene addiction.

This study shows that Arid1a loss enhances pancreatic β-cell regeneration by activating EGF signaling, protecting against diabetes.

The paper introduces a deep-learning method called TPS to quantify zonal gene expression patterns in tissues like the liver, showing it can detect differences between strains, ages, and disease states.

This paper develops SClineger, a Bayesian model to correct genetic drop-outs in scRNA-Seq data for accurate lineage tracing across tissues and time scales.