Eilon Sharon

This paper introduces a pooled CRISPR screening platform combined with self-supervised deep learning to infer gene function from morphological phenotypes without target-specific biomarkers.

The paper systematically assays core promoter elements to understand their role in transcriptional regulation and identifies key sequence features and spatial organization principles.

This study identifies genetic risk loci for narcolepsy, showing enrichment in immune cells and suggesting autoimmune modulation via T cell receptor chains and influenza-A infection.

The paper measures promoter activity in budding yeast under varying TF concentrations and shows that competition between binding sites, not site number, determines gene expression, with a thermodynamic model explaining the results.