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Facile, high-throughput protein purification enabled by high-efficiency protease elution
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DOI：10.1002/pro.70746.png)
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Abstract
En 中文
While advances in artificial intelligence have made protein design widely accessible, protein production and characterization remain a bottleneck. Protease-cleavable affinity tags are commonly used to improve yield and purity of recombinant proteins, but tag removal adds labor and complexity. Previous attempts to use a selective protease to elute cleaved fusion protein during affinity chromatography have suffered from poor digestion efficiency that greatly diminishes yield, or protease contamination in the eluate. Here, we describe a novel SUMO protease construct that supports rapid, high-yield protease elution. This is the keystone of an end-to-end DNA-to-protein workflow that we optimized for speed, parallelizability, and generalizability. While our workflow is intended for an automated liquid-handler, it can easily be performed manually, making it broadly accessible. We demonstrate the method by producing and characterizing 96 disparate proteins derived from mesophilic organisms. This provides a benchmark for methods development and a curated dataset useful for machine learning.
Keywords:
affinity chromatography
high-throughput
laboratory automation
protein expression
protein purification
recombinant protein
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