Spatiotemporal Propagation of a Minimal Catalytic RNA Network in GUV Protocells by Temperature Cycling and Phase Separation.

Angew Chem Int Ed Engl

Department of Cellular and Molecular Biophysics, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.

Published: April 2023

AI Article Synopsis

  • Compartmentalization is essential for cellular processes, allowing biomolecules to interact at the right times and places through self-organization of lipids, nucleic acids, and proteins.
  • By utilizing reversible RNA-based liquid-liquid phase separation within giant unilamellar vesicles, researchers developed a system that propagates RNA enzymatic reactions through freeze-thaw cycles.
  • This study shows that condensation of RNA can speed up enzymatic reactions and that decondensed RNA allows for exchange of materials between vesicles, paving the way for controlled processes in minimal cell models.

Article Abstract

Compartmentalization is key to many cellular processes and a critical bottleneck of any minimal life approach. In cells, a complex chemistry is responsible for bringing together or separating biomolecules at the right place at the right time. Lipids, nucleic acids and proteins self-organize, thereby creating boundaries, interfaces and specialized microenvironments. Exploiting reversible RNA-based liquid-liquid phase separation (LLPS) inside giant unilamellar vesicles (GUVs), we present an efficient system capable of propagating an RNA-based enzymatic reaction across a population of GUVs upon freezing-thawing (FT) temperature cycles. We report that compartmentalization in the condensed RNA-rich phase can accelerate such an enzymatic reaction. In the decondensed state, RNA substrates become homogeneously dispersed, enabling content exchange between vesicles during freeze-thawing. This work explores how a minimal reversible phase separation system in lipid vesicles could help to implement spatiotemporal control in cyclic processes, as required for minimal cells.

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Source
http://dx.doi.org/10.1002/anie.202218507DOI Listing

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