Davide Bedognetti

This study identifies immune subtypes of colorectal cancer using methylation patterns, linking them to distinct clinical outcomes and immune programs.

This paper identifies a three-gene interferon signature that predicts sustained remission in pediatric AML patients by stratifying chemosensitivity and survival outcomes.

This study examines how rituximab and immune-checkpoint inhibitors affect immune responses to a COVID-19 booster vaccine, finding rituximab impairs interferon response and ICI maintains normal immune profiles.

This study investigates how MUC2 expression affects immune infiltration in colorectal cancer using in vitro models and CRISPR knockout, finding that MUC2 loss increases immune infiltration only in HT-29 cells.

This study profiles the transcriptional responses to three mRNA vaccine doses, showing sustained polyfunctional immunity after a nine-month interval.

The paper provides R scripts for analyzing and visualizing blood transcriptional module repertoires, demonstrating their application in septic patients' transcriptome data.

The paper introduces scTHI, a method to identify ligand-receptor interactions in glioma using single-cell RNA sequencing data from six human datasets.

The paper investigates NUDT16 transcript abundance in sepsis using omics data and public datasets, finding elevated levels in septic patients compared to controls.