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Related Experiment Video

Updated: Mar 28, 2026

Optimizing the Use of a Liquid Handling Robot to Conduct a High Throughput Forward Chemical Genetics Screen of Arabidopsis thaliana
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Fully automatized high-throughput enzyme library screening using a robotic platform.

Mark Dörr1, Michael P C Fibinger1, Daniel Last1

  • 1Department of Biotechnology and Enzyme Catalysis, Institute of Biochemistry, Greifswald University, Felix-Hausdorff-Str. 4, Greifswald, 17489, Germany.

Biotechnology and Bioengineering
|January 3, 2016
PubMed
Summary

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This summary is machine-generated.

A new robotic platform enables high-throughput screening for protein engineering, precisely monitoring enzyme production and facilitating the discovery of novel enzyme variants for biocatalysis.

Area of Science:

  • Biotechnology
  • Protein Engineering
  • Enzyme Technology

Background:

  • High-throughput screening is crucial for protein engineering and enzyme discovery.
  • Precise control over enzyme production is essential for reliable screening.
  • Existing methods may lack the automation and control needed for large-scale mutant library analysis.

Purpose of the Study:

  • To establish a fully automated robotic platform for high-throughput screening in protein engineering.
  • To enable precise monitoring and control of enzyme production in microtiter plates.
  • To demonstrate the platform's utility in identifying novel enzyme variants.

Main Methods:

  • Development of a fully automated robotic platform.
  • Integration of microtiter plate format for enzyme production.
Keywords:
activity assayenzymesgrowth conditionshigh-throughput screeningprotein engineeringrobotic platform

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  • Implementation of monitoring and control systems for growth conditions.
  • Application of the platform for screening mutant libraries of four enzyme classes (Baeyer-Villiger monooxygenase, transaminase, dehalogenase, acylase).

    • Main Results:

    • Successful establishment and performance demonstration of the automated robotic platform.
    • Precise enzyme production achieved for mutant library interrogation, stability tests, and assay screenings.
    • Identification of novel enzyme variants across multiple enzyme classes.
    • Validation of the system's reliability and sophistication for enzyme discovery.

    Conclusions:

    • The automated robotic platform significantly enhances high-throughput screening capabilities in protein engineering.
    • The system provides precise control over enzyme production, leading to reliable identification of novel biocatalysts.
    • The developed protocols are adaptable, offering a valuable resource for other researchers in the field.