Lisa M. Coussens

This study identifies plectin as a biomarker of aggressive pancreatic cancer, showing it suppresses T cell activity and that targeting it with an antibody enhances anti-tumor immunity.

The paper introduces dominoSignal, a software tool that statistically tests differential cell signaling from single-cell data to infer changes in cell-cell communication networks.

ImmunoPheno designs and analyzes immunophenotyping experiments using single-cell proteo-transcriptomic data to improve accuracy and reproducibility.

The paper identifies resistance mechanisms to KRAS-MEK pathway targeting in PDAC by analyzing clinical trial data and multi-omics profiles, showing that KRAS/MYC co-gain correlates with resistance and that co-targeting these genes is synergistic.

This study shows that HuR promotes immune evasion in PDAC by inhibiting T cell infiltration and function, suggesting HuR as a therapeutic target with immunotherapy.

This study identifies immune mimicry in breast cancer cells, where neoplastic cells express leukocyte receptors, enhancing tumor aggressiveness and therapy resistance.

This study shows that MHC-II expression in pancreatic cancer cells correlates with immune infiltration and improves immunotherapy response in mouse models.

The paper introduces a framework for mathematical modeling of multicellular systems using interpretable cell behavior rules derived from biological knowledge and multi-omics data.

This study develops a novel pancreatic cancer mouse model by expressing Myc and mutant Kras in adult acinar cells, showing metastasis and therapeutic resistance similar to human PDAc.

The paper presents a cost-effective, non-commercial protocol for normalizing TCRβ CDR3 sequencing data to correct amplification bias in bulk TCR repertoire profiling.

PENCIL identifies phenotype-relevant cell subpopulations from single-cell data using a supervised learning framework with feature selection and trajectory prediction capabilities.

The paper introduces a dual-modality imaging method combining high-resolution immunofluorescence and imaging mass cytometry to generate whole-slide IMC images with accurate single-cell segmentation.

CASSATT processes cycIHC data to align images, segment nuclei, and analyze spatial cell interactions and neighborhoods.

Galaxy-ME is a web-based software hub for analyzing and visualizing multiplex tissue imaging datasets, demonstrating its utility on normal and cancerous tissue data.

MCMICRO processes multiplexed tissue images into single-cell data, demonstrating its versatility across different tissues and imaging platforms.