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Environment-Sensitive Intelligent Self-Reproducing Artificial Cell with a Modification-Active Lipo-Deoxyribozyme.

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Giant vesicles (GVs) form artificial cells with linked proliferation. This study explores how these lipo-deoxyribozyme systems adapt their proliferation dynamics to environmental changes and DNA length.

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DNA amplificationartificial cellcompetitive proliferationgiant vesicleintelligent supramolecular machinelipo-deoxyribozymephenotypic plasticityprimitive information flowself-reproduction

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Area of Science:

  • Supramolecular Chemistry
  • Artificial Cell Biology
  • Biomimetic Engineering

Background:

  • Giant vesicles (GVs) are explored as supramolecular machines capable of information flow.
  • A linked proliferation system couples GV reproduction with internal DNA amplification.
  • This system is regulated by a lipo-deoxyribozyme complex within the GV membrane.

Purpose of the Study:

  • Investigate the response of GV-based artificial cells to varying external and internal conditions.
  • Analyze how environmental changes affect the proliferative dynamics of these artificial cells.
  • Explore the emergence of new phenotypes and competitive proliferation behaviors.

Main Methods:

  • Observation of morphological changes (phenotypic expression) in GVs.
  • Induction of phenotypes via controlled addition of membrane precursors (starvation periods).
  • Investigation of competitive proliferation dynamics based on encapsulated DNA chain length.

Main Results:

  • A novel "multiple tubulated" GV phenotype emerged after extended starvation periods, characterized by increased surface area and cationic charge.
  • Distinct interventions in proliferation dynamics were observed among artificial cells with varying DNA lengths.
  • The GV-based artificial cells demonstrated adaptive responses to environmental stimuli.

Conclusions:

  • GV-based artificial cells function as intelligent supramolecular machines.
  • These systems exhibit adaptable proliferation dynamics influenced by external and internal factors.
  • The study provides a new conceptual framework for developing advanced molecular machines and robotics.