Sylvia K. Plevritis

PANORAMIC improves spatial colocalization analysis by accounting for within-sample uncertainty, revealing stronger immune cell colocalization in specific colorectal cancer subtypes.

The paper uses mass cytometry to analyze immune and signaling profiles in CML patients within hours of TKI treatment to predict 12-month treatment response.

MONTAGE identifies spatially resolved functional enrichment gradients in tumor microenvironments by analyzing spatial communities and their clinical relevance.

This study identifies molecular signatures of brain mimicry and adaptation in breast cancer brain metastases using spatial transcriptomic profiling and a new algorithm called Equivalent Expression Index.

This study maps ovarian cancer spatial organization and identifies immune evasion drivers through single-cell spatial transcriptomics and CRISPR screens.

The paper introduces the colocatome, a spatial-omic framework, to compare microenvironment features between tumour-stroma assembloids and lung cancer specimens, finding that fibroblasts protect cancer cells from treatment by reorganizing cytoarchitecture.

The paper introduces REMI, a graph-based method to reconstruct cell-cell interactions in lung adenocarcinoma by accounting for ligand-receptor dependencies, and validates its findings experimentally.

CELESTA identifies cell types in multiplexed in situ images by integrating protein expression and spatial information, revealing novel spatial biology associated with lymph node metastasis.

The paper maps EMT and MET states in lung cancer using single-cell resolution and a novel computational tool, showing differences in trajectories and providing a framework for clinical sample characterization.

The paper identifies clinically relevant cell type interactions in the lung tumor microenvironment using RNA-seq data from sorted cell populations.