Enabling high-throughput enzyme discovery and engineering with a low-cost, robot-assisted pipeline.

Journal: Scientific reports
PMID:

Abstract

As genomic databases expand and artificial intelligence tools advance, there is a growing demand for efficient characterization of large numbers of proteins. To this end, here we describe a generalizable pipeline for high-throughput protein purification using small-scale expression in E. coli and an affordable liquid-handling robot. This low-cost platform enables the purification of 96 proteins in parallel with minimal waste and is scalable for processing hundreds of proteins weekly per user. We demonstrate the performance of this method with the expression and purification of the leading poly(ethylene terephthalate) hydrolases reported in the literature. Replicate experiments demonstrated reproducibility and enzyme purity and yields (up to 400 µg) sufficient for comprehensive analyses of both thermostability and activity, generating a standardized benchmark dataset for comparing these plastic-degrading enzymes. The cost-effectiveness and ease of implementation of this platform render it broadly applicable to diverse protein characterization challenges in the biological sciences.

Authors

  • Brenna Norton-Baker
    Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, USA.
  • Mackenzie C R Denton
    Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, USA.
  • Natasha P Murphy
    Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, USA.
  • Benjamin Fram
    Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Samuel Lim
    Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Erika Erickson
    Renewable Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, CO, USA.
  • Nicholas P Gauthier
    Department of Systems Biology, Harvard Medical School, Boston, MA, USA. nicholas.gauthier.research@gmail.com.
  • Gregg T Beckham
    National Bioenergy Center, National Renewable Energy Laboratory, Golden, Colorado 80401, United States.