M. Hinczewski

Pathological C-terminal phosphomimetic substitutions alter the mechanism of liquid-liquid phase separation of TDP-43 low complexity domain

This study investigates how phosphomimetic substitutions at C-terminal sites of TDP-43's low complexity domain alter liquid-liquid phase separation, revealing a biphasic salt dependence and changes in phase separation mechanisms.

Diverse mutant selection windows shape spatialheterogeneity in evolving populations

This paper introduces fitness seascapes to model genotype-by-environment interactions, enabling more accurate prediction of drug resistance evolution by analyzing spatially heterogeneous mutant selection windows.

Motion Blur Microscopy

This paper introduces motion blur microscopy to image cell adhesion in whole blood flow without dilution, enabling analysis of adhesion dynamics in physiological conditions.

Catch bonds in sickle cell disease: shear-enhanced adhesion of red blood cells to laminin

This paper investigates catch bonding in sickle cell disease by measuring RBC adhesion dynamics to laminin under shear flow, revealing patient-specific variations in bond strength and clinical relevance.

Bioenergetic costs and the evolution of noise regulation by microRNAs

The paper develops a stochastic model of miRNA noise regulation and calculates binding free energies to show how natural selection may have optimized miRNA-mRNA affinity for energy-efficient noise control.

Frequency-dependent ecological interactions increase the prevalence and shape the distribution of pre-existing drug resistance

This study shows frequency-dependent ecological interactions help pre-existing drug resistance persist despite fitness costs, using simulations and engineered mutants in NSCLC.

Hidden Interactions: Frequency-Dependence Emulates Selection-Driven Dynamics in Evolving Populations

This paper shows that frequency-dependent interactions can mask or mimic frequency-independent selection in evolving populations, emphasizing the need to account for interactions in evolutionary inference.

Destructive and constructive cheater suppression through quorum sensing

This study shows quorum sensing can either harm or benefit bacterial populations depending on public good production costs and cheater presence.

Shortcuts in stochastic systems and control of biophysical processes

This paper applies counterdiabatic driving to control stochastic biochemical processes, demonstrating both global and local control strategies in biological systems.

Low force unfolding of a single-domain protein by parallel pathways

The paper shows that upward curvature in log ku(f) as a function of force indicates parallel unfolding pathways in single-domain proteins, supported by simulations of β-sandwich proteins and mutants.

Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells

This paper develops a deep learning workflow for automated classification of sickle red blood cells using microfluidic images, achieving accuracy comparable to human experts with significantly faster analysis.

Controlling the speed and trajectory of evolution with counterdiabatic driving

This paper introduces a method to control evolutionary speed and trajectory using counterdiabatic driving, with applications in disease treatment and climate adaptation.

Modeling the growth of organisms validates a general relation between metabolic costs and natural selection

The paper validates a hypothesis linking metabolic costs to natural selection by developing a generalized growth model and testing it across unicellular and multicellular organisms.

Unraveling the mechanism of the cadherin-catenin-actin catch bond

The paper presents a theoretical model explaining the catch bond mechanism in the cadherin-catenin-actin complex, identifying energy barriers and their role in force regulation.

Optimal Information Transfer In Enzymatic Networks: A Field Theoretic Formulation

The paper develops a field-theoretic approach to calculate signal transmission error in enzymatic networks and validates it against simulations.

Protein Collapse is Encoded in the Folded State Architecture

The paper develops a polymer physics-based theory to assess protein collapsibility using contact maps, showing that beta-sheet proteins are more collapsible than alpha-helical ones and explaining the origin of multi-domain proteins.