Li Zeng

This study identifies the miR-103a-3p/AGFG1 axis as a molecular link between endocytic trafficking dysfunction and ER stress in Parkinson's disease, with AGFG1 as a potential therapeutic target.

This study identifies a shared proteomic profile in Alzheimer's disease with and without psychosis and a separate molecular signature linked to postsynaptic density disruption.

This study identifies Mitoxantrone hydrochloride as a drug that targets APP and LRRK2 to improve neurodegeneration in Parkinson's disease models.

GraphST improves spatial transcriptomics analysis by integrating clustering, integration, and deconvolution through graph self-supervised contrastive learning, achieving higher accuracy than existing methods.