Franklin W. Huang

This study identifies TM4SF1 as a tumor-associated antigen in biliary tract cancers and shows anti-TM4SF1 CAR-T cells inhibit tumor growth in vitro and in vivo.

This study benchmarks local ancestry inference across different genotyping assays and parameters, showing that ultra low-pass WGS with GLIMPSE2 achieves high accuracy, while SNP microarrays perform poorly.

The paper constructs a single-cell and spatial atlas of prostate cancer to reveal gene modules driving lineage plasticity and metastasis, identifying new biological insights and a transformer-based model for cell-state classification.

Single cell RNA sequencing of bladder cancer subtypes identified a CA125+ cell state linked to aggressive features and TM4SF1 as a therapeutic target.

This study identifies RPL22 as a tumor suppressor in MSI-H cancers that regulates MDM4 splicing and reveals its role in oncogenic pathways.

This study uses single-cell RNA-seq to identify a luminal progenitor cell state in BPH linked to inflammation and MIF interactions.

The paper characterizes the transcriptional response to COVID-19 across multiple organs using single-nuclei RNA sequencing, identifying shared transcriptional signatures in endothelial cells and macrophages.

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

The paper evaluates the transcriptional fidelity of cancer models using a machine learning tool called CancerCellNet, finding that genetically engineered mice and tumoroids generally show higher fidelity than other model types.

The paper examines sex differences in ACE2 and TMPRSS2 expression in prostate and lung epithelial cells, finding higher ACE2 expression in male lung type II pneumocytes and co-expression in prostate club cells.

The paper identifies three novel complex structural variation patterns in cancer genomes using genome graph analysis across 2,833 tumor WGS.