Enabling High-Throughput Enzyme Discovery and Engineering with a Low-Cost, Robot-Assisted Pipeline: Article No. 14449

Brenna Norton-Baker, Mackenzie Denton, Natasha Murphy, Benjamin Fram, Samuel Lim, Erika Erickson, Nicholas Gauthier, Gregg Beckham

Research output: Contribution to journalArticlepeer-review

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 ..mu..g) 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.
Original languageAmerican English
Number of pages13
JournalScientific Reports
Volume14
DOIs
StatePublished - 2024

NREL Publication Number

  • NREL/JA-2A00-89820

Keywords

  • genomic databases
  • protein characterization
  • protein purification

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