Vassili Soumelis

This study uses spatial transcriptomics to classify DLBCL tissues into immune cell ecosystems linked to patient survival.

OKN4395, a triple EP2/EP4/DP1 antagonist, restores antitumor immunity by reversing prostanoid-driven immunosuppression and synergizes with anti-PD1 therapy.

The paper compares three transcriptomic methods on FFPE tumor samples to assess their ability to detect inter- and intra-patient heterogeneity.

This paper shows that reducing hubness in single-cell RNA-seq data improves clustering and trajectory inference compared to traditional dimensionality reduction methods.

ICELLNET integrates ligand-receptor interactions and communication scores to analyze cell-to-cell communication in transcriptomic data, revealing novel interactions in breast cancer and dendritic cells.

The paper introduces SAIL, a machine learning tool to predict and analyze combinatorial stimulus interactions, revealing context-dependent functions and probabilistic algebra of cellular responses.

The paper develops a two-step model to describe how dendritic cells integrate conflicting exogenous and endogenous inflammatory signals to regulate immune responses.

The paper uses symbolic model checking to analyze T-helper cell plasticity by examining attractor switches in a logical model of their differentiation network.