Ling Wu

This study identifies an early neutrophil interferon program that predicts resistance to anti-PD1 therapy and limits durable anti-tumor immunity.

This study develops and tests a camptothecin analog conjugate targeting LGR4/5/6 in CRC models, showing potent anti-tumor activity with minimal toxicity.

This study uses spatial omics to identify distinct tumor microenvironment profiles in Black and White American TNBC patients, linking them to different immunosuppressive mechanisms and clinical outcomes.

The paper analyzes bone metastases from six cancer types using single-cell RNA-seq to identify three immune archetypes and their mechanisms of bone colonization.

This study identifies YTHDF1 as a driver of lung adenocarcinoma progression by promoting EEF1G translation through m6A-dependent mechanisms.

MUSTANG performs multi-sample spatial transcriptomics analysis by integrating cross-sample similarity and spatial correlation to improve cellular deconvolution.

This paper introduces ReSort, a method to improve cell type deconvolution in spatial transcriptomics by reducing batch effects, and shows it enhances accuracy in mouse breast cancer data.

This study identifies an anti-GPR56 monoclonal antibody that enhances Src-Fak signaling and cell adhesion through a novel extracellular domain-dependent mechanism.