Pier Federico Gherardini

CellCage™ Technology Enables High-throughput Isolation of Defined Cell Combinations to Resolve the Determinants of CAR-T mediated Cytotoxicity

The paper introduces CellCage™ technology to isolate defined cell combinations for high-throughput analysis of CAR-T cell cytotoxicity, revealing functional heterogeneity and cooperative behavior in T cell-mediated killing.

Cross-Attention Over RNA And Protein Sequences Enables Generalizable Interaction Prediction

The paper introduces CORAL, a deep learning framework for RNA-protein interaction prediction that improves generalization and interpretability through cross-attention mechanisms.

Scalable longitudinal imaging and transcriptomics of cells in dynamic enclosures

This paper develops a platform for longitudinal imaging and transcriptomics of live cells, revealing adaptive drug-resistant states and key drivers of cellular function through integrated analysis.

Linking live-cell behavior to transcriptional responses across perturbations using dynamic caging

This study uses dynamic caging to link live-cell behavior with transcriptional responses across perturbations, revealing new insights into immune and inflammatory gene regulation.

A tumor metabolism-angiogenesis-immune axis governs immunotherapy responses

This study shows that reducing tumor glycolysis improves immunotherapy responses by normalizing the tumor microenvironment and enhancing immune cell activity.

Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence

This study analyzes multi-omic data from gliomas to identify therapeutic escape mechanisms and TME evolution, finding that N-glycosylation classifies tumor grade and immune transcriptome predicts GBM survival.

The Integrated Cellular and Molecular Landscape of Autoimmunity

The paper integrates transcriptomic data from 10 autoimmune diseases to identify core immune mechanisms and disease-specific signatures, revealing shared and distinct immunopathological patterns through 15 immune modules.

Meta-analysis of Cytometry Data Reveals Racial Differences in Immune Cells

MetaCyto enables meta-analysis of flow and mass cytometry data, revealing racial differences in immune cell populations across 2926 samples.