Fiorella Schischlik

The paper compares gene expression in primary and metastatic tumors to their origin and target tissues, finding metastases more resemble target tissues and show reduced cancer hallmark activity.

The paper infers tumor immune status and predicts immunotherapy response from blood scRNA-Seq data in HNSCC patients.

The paper predicts anti-SARS-CoV-2 targets by identifying synthetic lethal partners of host genes altered during infection, validated through CRISPR-Cas9 screens and siRNA experiments.

The paper develops CODEFACS and LIRICS to deconvolve bulk gene expression and identify clinically relevant ligand-receptor interactions in tumors, finding specific T-cell interactions linked to anti-PD1 response.

The paper uses single-cell transcriptomics data to explore optimal combination therapies for cancer by analyzing receptor targets across multiple tumor types.