Davide Cittaro

The paper introduces HiCONA, a Bayesian framework that identifies mitotically preserved chromatin interactions guiding post-mitotic 3D genome reassembly and epigenetic memory.

This paper identifies that cancer persister cells activate NMDARs to survive ferroptosis, and inhibiting both the Xc- antiporter and NMDAR/NFE2L2 axis resensitizes them to ferroptosis.

This paper introduces a high-throughput microfluidic platform for organoid culture and multi-omics profiling, demonstrating its utility in clinical and drug discovery settings.

This paper introduces a framework for integrating multiomic single-cell data using Wasserstein GANs, enabling analysis of more than two modalities with reduced computational burden.

The paper introduces contrast subgraphs to compare gene and protein networks from different conditions or techniques, highlighting altered connectivity modules.

The paper describes an in vitro screening protocol to identify effective gRNAs for epigenetic silencing using engineered transcriptional repressors and evaluates their genome-wide specificity.

This paper describes advances in statistical analysis and modeling of scGET-seq data, focusing on dimensionality reduction, statistical modeling, and trajectory analysis.

This paper introduces a stochastic block model approach for single cell clustering and label transfer, accompanied by a Python library called schist.

This study identifies a non-neurogenic role of SVZ-eNPCs in regulating striatal GABAergic transmission and decision-making through IGFBPL-1 secretion.

The paper identifies a novel truncating GLI2 variant linked to Culler-Jones syndrome and demonstrates its dominant-negative effect on Hedgehog signaling through functional assays.

The paper uses somatic mutation data from cancers to predict genes involved in germline mutations' phenotypic effects, showing their predictive power is independent of germline-based methods.

The paper uses somatic mutation patterns from cancer to predict genes involved in phenotypic abnormalities and genetic diseases, showing their predictive power is independent of germline-based methods.

This paper sonifies ChIP-seq data of histone modifications into musical scores and shows that the resulting music is perceived as more pleasant than randomized signals, with the waveform predicting phenotypic properties like differential gene expression.