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Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
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Linking Engineered Cells to Their Digital Twins: A Version Control System for Strain Engineering.

Jonathan Tellechea-Luzardo1, Charles Winterhalter1, Paweł Widera1

  • 1Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, Newcastle University, Newcastle Upon Tyne NE4 5TG, U.K.

ACS Synthetic Biology
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PubMed
Summary
This summary is machine-generated.

Digital twinning links engineered cells to their digital history, enhancing reproducibility and safety in synthetic biology. This approach improves tracking for collaborative strain engineering via simple barcoding.

Keywords:
Bacillus subtilisDNA barcodeEscherichia coliVCSdigital twinreproducibilityversion control system

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Area of Science:

  • Biotechnology
  • Synthetic Biology
  • Bioinformatics

Background:

  • Advancements in DNA sequencing and synthesis are increasing the scale and complexity of biological engineering.
  • A gap exists between biotechnology and digital technology, hindering agility, reproducibility, and transparency.
  • Current limitations impact the security and safety of synthetic biology constructs.

Purpose of the Study:

  • To introduce a novel method for physically linking engineered cells to their digital footprint.
  • To address challenges in software and laboratory techniques within biotechnology.
  • To enhance the tracking and collaborative engineering of cell lines.

Main Methods:

  • Development of a digital twinning approach.
  • Implementation of a specialized version control system for biological data.
  • Utilizing simple barcoding protocols for cell line identification and tracking.

Main Results:

  • Successful physical linking of engineered cells to their digital information.
  • Enabled comprehensive tracking of cell line engineering history.
  • Facilitated collaborative strain engineering through a version control system.

Conclusions:

  • Digital twinning offers a solution to improve transparency, reproducibility, and safety in synthetic biology.
  • The method enhances the management and tracking of engineered cell lines.
  • This approach supports more robust and secure biological engineering projects.