Pubblicazioni

Large-scale perturbational approaches have transformed cancer research, enabling systematic identification of tumour-specific dependencies and therapeutic vulnerabilities. However, many clinically relevant vulnerabilities arise from genetic interactions, including synthetic lethal and buffering relationships, and are shaped by cellular state, lineage and treatment history. Interpreting complex dependency landscapes increasingly relies on advanced computational and AI-based approaches integrating molecular, […]

The evolutionary expansion of the mammalian neocortex is driven by increased proliferative capacity of neural progenitor cells. However, the molecular machinery controlling the proliferation of apical and basal progenitors during neocortical development remains poorly understood. Here, we show that the three actin-associated morpho-regulatory adducins (ADD1–3) underlie the abundance of basal progenitors in the developing ferret […]

Extracellular release and uptake of pathogenic forms of the microtubule-associated protein tau contribute to the pathogenesis of several neurodegenerative diseases, including Alzheimer’s disease. Defining the cellular mechanisms and pathways for tau entry to human neurons is essential to understanding tauopathy pathogenesis and enabling the rational design of disease-modifying therapeutics. Here, whole-genome, loss-of-function CRISPR screens in […]

Metastatic uveal melanoma is an aggressive disease with limited effective therapeutic options. To comprehensively map monogenic and digenic dependencies, we performed CRISPR–Cas9 screening in ten extensively profiled human uveal melanoma cell line models. Analysis involved genome-wide single-gene and combinatorial paired-gene CRISPR libraries. Among our 76 uveal melanoma-specific essential genes and 105 synthetic lethal gene pairs, […]

Background Understanding the molecular interactions between cells, tissues or organs is key to understanding the functioning of a biological system as a whole. Results Here, we propose crossWGCNA: a co-expression-based method that identifies highly interacting genes unbiasedly and that we employ to study stroma-epithelium communication in breast cancer. CrossWGCNA can be applied to bulk, single […]