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Synthetic multicellular systems offer insights into biofilms and organisms, enabling new applications in medicine and materials. Future work focuses on improving parts, algorithms, and modeling for practical synthetic biology engineering.

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Area of Science:

  • Synthetic Biology
  • Bioengineering
  • Systems Biology

Background:

  • Synthetic multicellular (MC) systems are crucial for understanding biofilms and higher organisms.
  • They serve as engineering platforms for medicine, biosynthesis, and smart materials.
  • Emerging approaches focus on engineering and modeling these complex systems.

Purpose of the Study:

  • To provide an interdisciplinary review of emerging approaches in synthetic MC systems.
  • To define key terms and identify toolboxes of standardized parts for MC algorithms.
  • To outline future milestones for advancing MC engineering.

Main Methods:

  • Review of interdisciplinary perspectives on MC systems engineering and modeling.
  • Identification and definition of standardized parts and algorithms.
  • Analysis of current advancements and future directions.

Main Results:

  • Definitions for key terms in synthetic MC systems are established.
  • Toolboxes of standardized parts for MC algorithms are identified.
  • Demonstrated potential for various MC algorithms and essential parts.

Conclusions:

  • Synthetic MC systems hold significant potential for scientific understanding and technological innovation.
  • Key next steps include improving parts, developing complex algorithms, and advancing quantitative modeling.
  • Implementation of MC engineering is crucial for practical applications in diverse fields.