Paolo Arosio

The paper uses single-particle light scattering to reveal structural heterogeneity in biomolecular condensates formed by Ddx4N1, showing distinct populations with different physical properties.

This paper identifies molecular progression trajectories in PSP by integrating snATACseq and snRNAseq data with tau pathology, revealing cell-type-specific transcriptional changes and glial reactivity.

This study shows that cross-β-sheet nucleation, linked to ageing, preferentially occurs at biomolecular condensate interfaces due to a general physical mechanism, not specific protein sequences.

This paper introduces a membrane-sensing peptide-based method for isolating urinary extracellular vesicles, showing improved purity, reduced contaminants, and better scalability compared to traditional methods.

This study designs peptides that localize at biomolecular condensate interfaces using a computational pipeline combining simulations, machine learning, and optimization, revealing charge-dependent localization mechanisms.

This study shows that hnRNPA1 phase separation is suppressed at high RNA concentration due to competition with protein-RNA cluster formation, with specific RNAs promoting clusters more effectively than unspecific ones.

This paper designs peptides that form stable nanocondensates by combining computational methods with experimental validation, revealing molecular mechanisms that control condensate size.

This study shows that structural defects in amyloid-β fibrils are key sites for secondary nucleation, suggesting new strategies for drug design to inhibit amyloid disorders.

This study shows that nuclear mechanostability arises from satellite DNA condensation into chromocenters, which help dissipate mechanical stress and protect genome integrity.

This study shows that biomolecular condensates enhance enzymatic activity by buffering pH, allowing enzymes to function effectively in acidic conditions and enabling pH-dependent cascade reactions.

This paper characterizes CRANAD-2 for detecting amyloid-beta deposits in Alzheimer's mouse models using multi-spectral optoacoustic tomography and fluorescence imaging.

This paper introduces a transcranial fluorescence microscopy technique to detect amyloid-beta plaques in mouse models of Alzheimer's disease at single-plaque resolution across the entire brain.