Federica Piccioni

SPACE enables spatial CRISPR screening with whole-transcriptome and protein readouts at subcellular resolution, revealing novel regulatory mechanisms in tumor microenvironments.

The paper identifies TYK2 as a potential therapeutic target for neurodegenerative diseases by linking cdsRNA-induced inflammation to interferon signaling and demonstrating protective effects of TYK2 inhibitors.

The paper identifies a common genetic variant in IFITM3 that explains most inter-individual variation in neural progenitor cell susceptibility to Zika virus using natural genetic variation and synthetic perturbations.

This study identifies unique vulnerabilities of oncogenic EGFR, KRAS, and RIT1 in lung cancer through integrative analysis of CRISPR screens and drug sensitivity data.

The paper introduces a method to screen large variant libraries with mutations across wide regions using improved mutant detection software, enabling accurate variant calling and counting from sequencing data.

The paper develops a method to predict cell health phenotypes from Cell Painting images using machine learning, validated across multiple perturbations and assays.

The paper performs a genome-wide CRISPR/Cas9 screen to identify modulators of DUX4 cytotoxicity in FSHD but finds no key effectors other than DUX4 itself.

The paper evaluates and introduces optimized CRISPR libraries for knockout, interference, and activation screens, showing improved performance in gene function interrogation.

The paper introduces the L1000 platform, a high-throughput gene expression profiling method, and reports 1.3 million perturbational profiles expanding the Connectivity Map for drug mechanism discovery and functional annotation.