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Automated Robotic Liquid Handling Assembly of Modular DNA Devices
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Standardizing Automated DNA Assembly: Best Practices, Metrics, and Protocols Using Robots.

David I Walsh1,2, Marilene Pavan3,4, Luis Ortiz3,5

  • 11 Bioengineering Systems and Technologies, MIT Lincoln Laboratory, Lexington, MA, USA.

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|February 16, 2019
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Summary
This summary is machine-generated.

Automating DNA assembly streamlines synthetic biology by optimizing protocols and developing quantifiable metrics. This ensures efficient, reproducible DNA synthesis for high-throughput biological system design.

Keywords:
DNA assemblyliquid-handling robotsmetricsstandardssynthetic biology

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Area of Science:

  • Synthetic biology
  • Molecular biology
  • Automation engineering

Background:

  • Advancements in synthetic biology necessitate novel DNA sequence creation for unique biological functions.
  • Automation is crucial for high-throughput DNA fragment assembly, enabling simultaneous testing of numerous configurations.

Purpose of the Study:

  • To develop and validate protocols, hardware, and software for optimizing DNA assembly through quantifiable metrics.
  • To establish metrics for determining the cost-effectiveness and necessity of automation in DNA assembly workflows.

Main Methods:

  • Performed a parameter analysis of DNA assembly to refine the MoClo (Modular Cloning) protocol for standardization, efficiency, and reproducibility.
  • Developed a quantitative metric (Q-metric) to assess automation advantages over manual methods concerning output, cost, and time.
  • Created the Puppeteer software tool for metric capture, assembly design, and liquid-handling instructions for both human and robotic use.

Main Results:

  • A standardized, efficient, and reproducible MoClo protocol suitable for both manual and robotic liquid-handling systems was developed.
  • The Q-metric was established to quantitatively evaluate the benefits of automation in DNA assembly.
  • The Puppeteer software was successfully developed to support automated DNA assembly workflows.

Conclusions:

  • The study contributes to standardizing practices, metrics, and protocols for automating DNA assembly in synthetic biology.
  • The developed Q-metric and Puppeteer software provide valuable tools for optimizing and assessing DNA assembly automation.
  • The findings support the broader adoption of automation for efficient and reproducible synthetic biology research.