Priya R. Banerjee

This study quantifies how CpG methylation affects chromatin mechanics, nucleosome wrapping, and condensate properties across multiple scales.

This study shows that the 2'-OH group of RNA influences phase separation and percolation transitions in the presence of Mg2+ ions, with 2-deoxyribose and 2-O-methylation altering these processes.

This study shows that electrostatic interactions between intrinsically disordered regions drive G3BP1 condensate ageing, with RNA modulating these interactions and delaying dynamic arrest.

This study shows multi-component biomolecular condensates suppress amyloid formation by sequestering proteins, limiting their availability for fibril formation.

This study designs synthetic biomolecular condensates that control microtubule assembly through tunable material properties and interfacial rheology.

This paper introduces a synthetic intrinsically disordered protein coating that enhances oral delivery of peptide drugs by protecting them from gastric acid and enabling targeted intestinal release.

This study shows that L-arginine prevents Tau condensates from turning into amyloid fibrils without affecting phase separation, preserving their function.

This study shows how charge patterns in the H3 tail affect nucleosome condensate formation and dynamics through phase separation mechanisms.

This study shows that repeat RNAs form nanoscale clusters within biomolecular condensates, driven by sequence features and RNA secondary structure, and that G3BP1 buffers these interactions.

The paper shows that separable interactions in A1-LCD allow tunable metastability of condensates, which can suppress amyloid fibril formation even with ALS mutations.

This study investigates the microscopic origins of flow activation energy in biomolecular condensates using simulations, revealing its connection to sticker-sticker pair lifetimes and sequence patterns.

The paper computes viscoelastic moduli of biomolecular condensates using generalized Rouse models and Monte Carlo simulations, showing that a mixture of single-chain and collective models provides the most accurate results.