Chuanpeng Dong

eSIG-Net predicts how single mutations affect protein interactions using a sequence-based interaction language model, outperforming existing methods.

This paper introduces CAR-T-drug conjugates (CAR-T-D-C) to improve CAR-T therapy for solid tumors by combining chemotherapy with CAR-T cells, enhancing tumor infiltration and immune response.

The paper investigates age-related changes in cerebellar microglia using single-nuclei RNA sequencing and MERFISH, finding enhanced neuroprotective immune activation and proximity to granule cells in aged mice.

The paper introduces TCPGdb, a database integrating T cell perturbation screens to identify critical regulators of T cell function and anti-tumor persistence.

The paper identifies paralog pairs that enhance cancer immunotherapy efficacy through computational analysis and experimental validation.

Perturb-DBiT co-sequences spatial transcriptomes and gRNAs on one tissue section, supporting genome-wide in vivo CRISPR screens in FFPE and fresh-frozen tumors across three cancer models.

The paper identifies actin capping proteins as key modulators of therapeutic responses to radiation and immunotherapy through genome-scale CRISPR screens in melanoma cells.

The paper identifies a PLCG2 variant, PLCG2M28L, associated with increased Alzheimer's disease risk and altered microglial phenotypes, while another variant, PLCG2P522R, reduces disease risk in a mouse model.

DEGAS transfers disease information from patients to cells using deep transfer learning, identifying PHF19high myeloma cells linked to progression.

This study shows INPP5D expression increases in Alzheimer's disease, particularly in plaque-associated microglia, and suggests it may be a risk factor and therapeutic target.

The paper identifies a rare PLCG2 variant that increases Alzheimer's disease risk and shows increased PLCG2 expression correlates with amyloid deposition in AD patients.