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A passive physical model for DnaK chaperoning.

Lionel Uhl1, Audrey Dumont1, Sam Dukan1

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This study models how the Hsp70 chaperone DnaK protein dynamically localizes within Escherichia coli cells during stress. The findings reveal DnaK efficiently resolves protein aggregates, returning to its original pattern post-stress.

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Area of Science:

  • Cellular Biology
  • Biophysics
  • Computational Biology

Background:

  • Protein misfolding and aggregation are implicated in cellular stress and disease.
  • Protein chaperones, like Hsp70 (DnaK), are crucial for maintaining protein homeostasis.
  • Understanding chaperone dynamics is key to deciphering cellular stress responses.

Purpose of the Study:

  • To model the dynamic localization of the Hsp70 chaperone DnaK in Escherichia coli.
  • To investigate DnaK's role during transient proteotoxic collapse and protein aggregate resolution.
  • To correlate computational modeling with experimental fluorescence microscopy data.

Main Methods:

  • Developed a reaction-diffusion stochastic model for DnaK localization.
  • Incorporated polymerization kinetics for protein aggregate formation.
  • Modeled DnaK binding and refolding using Michaelis-Menten kinetics.
  • Included spatial zones with reduced diffusion to simulate DnaK foci formation.

Main Results:

  • The model successfully reproduced experimentally observed DnaK localization kinetics.
  • Simulations showed DnaK moving from foci to aggregates during stress and resolving them during recovery.
  • DnaK demonstrated more efficient action on protein aggregates compared to homogeneously distributed proteins.
  • The model generated spontaneous DnaK assemblies ('foci') consistent with microscopy data.

Conclusions:

  • The reaction-diffusion model accurately captures DnaK's dynamic behavior during proteotoxic stress.
  • DnaK localization is essential for the efficient resolution of protein aggregates.
  • Cellular compartmentalization, simulated as reduced diffusion zones, facilitates chaperone organization and function.