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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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Biosensor-based engineering of biosynthetic pathways.

Jameson K Rogers1, Noah D Taylor1, George M Church1

  • 1Wyss Institute for Biologically Inspired Engineering Harvard University, 3 Blackfan Circle, Boston, MA 02115, USA.

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Scientists are developing genetically encoded biosensors to measure the success of metabolic engineering designs. This technology rapidly identifies high-performing cells for biotechnological advancements.

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Area of Science:

  • Synthetic biology
  • Metabolic engineering
  • Biotechnology

Background:

  • Biosynthetic pathways enable the conversion of renewable resources into valuable products like pharmaceuticals and plastics.
  • Designing complex metabolic pathways in cells is a significant challenge in biotechnology.
  • Rapid generation of genetic variants allows for billions of cells with diverse metabolic designs.

Purpose of the Study:

  • To address the lag in measuring the quality of cellular metabolic designs.
  • To introduce genetically encoded biosensors for self-reporting cellular success in chemical production.

Main Methods:

  • Engineering genetic variants with slightly different metabolic designs.
  • Utilizing genetically encoded biosensors within cells.
  • Implementing biosensors in selection and screening processes.

Main Results:

  • Cells can now report their own success in producing chemicals.
  • A new engineering discipline focused on biosensor creation and application is emerging.
  • Biosensors facilitate the identification of productive cells.

Conclusions:

  • Genetically encoded biosensors are crucial for advancing metabolic engineering.
  • This technology accelerates the development of new biotechnological solutions.
  • Biosensors are paving the way for a new era of progress in biotechnology.