Yun Zhang

Targeted extracellular degradation of LRP8 promotes ferroptosis in cancer cells

This study shows that targeting LRP8 for degradation reduces GPX4 levels, sensitizing cancer cells to ferroptosis by disrupting selenium-dependent antioxidant defenses.

T50 O-GlcNAc PKM2 promotes aerobic glycolysis and PDAC progression via ARNT-CDC27-AKT pathway

This study identifies an O-GlcNAc modification on PKM2 that promotes PDAC progression through the ARNT-CDC27-AKT pathway by enhancing aerobic glycolysis.

Tumor-infiltrating natural killer cell profiling for therapeutic stratification in patients with resectable non-small cell lung cancer

This study identifies smoking-associated natural killer cell subsets in NSCLC that correlate with survival and response to neoadjuvant chemoimmunotherapy, suggesting their use in therapeutic stratification.

Targeted shedding of extracellular membrane proteins by induced protease recruitment

This paper develops Shedders, bispecific antibodies that recruit ADAM10 to induce ectodomain shedding of cell surface proteins, demonstrating efficacy in depleting LAG-3 and identifying new targets for therapeutic intervention.

A cytokine receptor-targeting chimera (kineTAC) toolbox for expanding extracellular targeted protein degradation.

The paper expands the kineTAC toolbox by creating 81 new cytokine receptor-targeting chimeras for cell-type-specific extracellular protein degradation.

Application and mechanism of anticancer peptides in organoid models of intrahepatic cholangiocarcinoma

This study evaluates the efficacy of anticancer peptides in patient-derived organoids of intrahepatic cholangiocarcinoma, showing their potent anti-tumour effects through direct membrane disruption and apoptosis induction.

Brain Data Standards - A method for building data-driven cell-type ontologies

The paper introduces a data-driven method to extend cell ontologies for multi-modal single-cell omics data, focusing on the Primary Motor Cortex in humans, mice, and marmosets.

Cell type matching in single-cell RNA-sequencing data using FR-Match

FR-Match matches query single-cell RNA-sequencing datasets to reference atlases to identify common and novel cell types and suboptimally clustered cells with high accuracy.

NS-Forest: A machine learning method for the objective identification of minimum marker gene combinations for cell type determination from single cell RNA sequencing

NS-Forest identifies minimal marker gene combinations for cell type determination from scRNA-seq data, revealing key roles of signaling and non-coding RNAs in neuronal identity.

Whole-genome sequencing of an advanced case of small-cell gallbladder neuroendocrine carcinoma

This study performs whole-genome sequencing on an advanced case of small-cell gallbladder neuroendocrine carcinoma to identify genetic alterations and potential biomarkers.