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Manisha Jhajhria

Publications and source records attributed to Manisha Jhajhria.

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Catalytic Crosstalk: Cooperative Enzyme Dynamics in Artificial Crowded Environments

In cellular environments, enzymes operate under densely crowded conditions that often hinder catalytic efficiency by limiting substrate diffusion and essential conformational dynamics. While reports suggest that crowding can often lead to inhibition of enzyme's catalytic activity, persistent efficiency of cellular biochemistry hints at underlying cooperative mechanisms among these molecules. Here, we experimentally demonstrate catalytic crosstalk between two enzymes - catalase and urease - in artificially crowded environments. Our results reveal that when co-localized in dense media, these enzymes mutually enhance each other's catalytic activity and dynamic behavior. This cooperative interaction leads to a net increase in reaction rates and mobility, suggesting an emergent many-body effect in enzyme assemblies. Modeling enzymes as dimeric active particles, we propose a minimal simulation framework that qualitatively captures the observed synergy. Our findings show that inter-enzyme cooperation can counteract the detrimental effects of crowding, offering insights into how enzymatic efficiency is sustained in complex biological milieu.

cond-mat.soft

Multiscale Phase Separation in Chemophoretic Active Matter

Nonreciprocal interactions in active matter provide interesting structure and dynamics. Here we investigate chemophoretic systems in which nonreciprocity arises from the asymmetric coupling between agents: first species produces certain chemicals and the other phoretically responds to it. This leads to phase separation at varying scales. Our study uncovers a re-entrant steady-state phase diagram as the nature of the coupling changes from chemoattractive to chemorepulsive character. Chemoattraction provides sustained domain growth, leading to macrophase separation via cluster coalescence. Aggregation in the chemorepulsive case, on the other hand, leads to a steady-state situation that displays phase separation only at a microscale, owing to strong caging effect and frequent fragmentation. The overall far-from-steady-state dynamics is quantified via calculations of growth exponents, cluster transition matrices, and mean-squared displacements.

cond-mat.soft