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Transmembrane signal transduction by cofactor transport.

Istvan Kocsis1, Yudi Ding1, Nicholas H Williams2

  • 1Department of Chemistry, University of Cambridge Lensfield Road Cambridge CB2 1EW UK herchelsmith.orgchem@ch.cam.ac.uk.

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|October 4, 2021
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Researchers developed a synthetic transducer that mimics biological signal processing by transporting metal ions across lipid membranes to trigger internal catalysis. This system offers reversible control and modularity for creating complex chemical systems.

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Area of Science:

  • Biochemistry
  • Synthetic Biology
  • Chemical Engineering

Background:

  • Biological information processing relies on chemical signaling across lipid membranes.
  • Synthetic systems for transmembrane signaling and catalysis are limited.
  • Developing artificial systems for cell-like communication is a key challenge.

Purpose of the Study:

  • To engineer a synthetic transducer for transmembrane signal transduction.
  • To achieve catalytic activity within lipid vesicles triggered by external stimuli.
  • To create a controllable and modular synthetic signaling system.

Main Methods:

  • A synthetic transducer was designed to bind and transport metal ions across lipid bilayers.
  • Catalytic hydrolysis of an ester substrate was initiated inside vesicles upon metal ion binding.
  • The system's activity was modulated via metal ion input and covalent conjugation.

Main Results:

  • The synthetic transducer successfully transported metal ions, triggering internal catalytic hydrolysis.
  • The system demonstrated reversible on/off switching using cadmium(II) and ethylene diamine tetracarboxylic acid.
  • Covalent conjugation with pyridine derivatives enhanced transducer activity, while sugar derivatives abolished it.

Conclusions:

  • Coupling transmembrane transport with intracellular catalysis provides a robust signaling mechanism.
  • The synthetic transducer offers a versatile platform for building complex, responsive chemical systems.
  • This work advances the development of artificial systems for information processing and cell signaling.