Davide Cacchiarelli

The paper introduces CIRI, a CRISPR-based platform for programmable cell fate conversion in hiPSCs, using single-cell genomics to identify regulatory factors for myogenic differentiation.

The paper shows that CTCF and GATA4 have opposing roles in chromatin remodeling during cardiomyogenesis, with CTCF inhibiting and GATA4 promoting topological changes.

The paper identifies a Golgi regulon and shows CREB3L1 drives its transcriptional activation during de novo Golgi biogenesis.

This study compares neuronal activity and gene expression in CDD patient-derived neurons from two differentiation methods, finding early hyperexcitability in organoid-derived neurons but not induced neurons.

This study develops a feeder-free serum-coated system for culturing naive human pluripotent stem cells, maintaining their developmental potential and reducing contamination and mutations.

This paper develops a 3D model of human CNS development from naive hiPSCs, showing their ability to form neuroepithelial cysts and model FXS with epigenetic changes.

The paper uses O-MAP to study a cardiac-specific RNA factory around TTN RNA, revealing its chromatin interactions, RNA composition, and role of RBM20 in gene regulation.

This study identifies alternative polyadenylation (APA) as a molecular mechanism linking polygenic risk for schizophrenia to synaptic impairments through functional analysis in induced neurons.

The paper uses a multiomic approach to study Retromer's role in lysosomal health in human neuroglioma cells, revealing proteomic and transcriptomic changes linked to neurodegeneration.

BrewerIX analyzes allelic expression of imprinted and X-linked genes from bulk and single-cell transcriptomes to identify aberrant expression patterns in various biological contexts.

DECCODE identifies small molecules that enhance cell reprogramming and conversion using transcriptional data and drug profiles.

The paper analyzes MYOD-mediated reprogramming of human fibroblasts using single-cell RNA-Seq to identify molecular determinants of reprogramming success and failure.

The paper uses pseudotemporal ordering to analyze single-cell data and reveals dynamics and regulators of cell fate decisions.