Mattia Furlan

The paper investigates how centrosome architecture and m6A-dependent regulation influence p53 surveillance after whole-genome doubling, identifying key molecular mechanisms.

The paper introduces a Bayesian model to infer RNA life-cycle kinetic rates from sequencing data and applies it to study Myc activation in murine fibroblasts, revealing new regulatory patterns.

The paper introduces an IVT-based method with dRNA-seq to detect RNA modifications across the transcriptome, identifying 26,619 modification sites and revealing non-random co-occurrence and isoform-specific patterns.

The paper introduces INSPEcT-, a computational method to infer RNA synthesis, processing, and degradation dynamics from total RNA data without metabolic labeling, and applies it to study post-transcriptional regulation in various conditions.