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Interactome-Seq: A Protocol for Domainome Library Construction, Validation and Selection by Phage Display and Next Generation Sequencing
Published on: October 3, 2018
Protein domain library generation by overlap extension (PDLGO): a tool for enzyme engineering
1Bioanalytics, Institute of Pharmaceutical and Medicinal Chemistry, Heinrich-Heine-University, Universitätsstrasse 1, 40225 Düsseldorf, Germany.
We developed protein domain library generation by overlap extension (PDLGO), a new method for targeted gene mutation. This technique enables directed evolution of enzymes like esterases by focusing mutations within specific protein domains.
Area of Science:
- Biotechnology and Molecular Biology
- Enzyme Engineering
- Protein Engineering
Background:
- Traditional error-prone PCR (epPCR) introduces random mutations across entire genes, making targeted protein domain mutagenesis challenging.
- Existing methods often require flanking restriction sites, limiting flexibility in selecting mutation regions.
- Efficient tools for directed evolution of enzymes, such as esterases, are crucial for improving their catalytic properties.
Purpose of the Study:
- To introduce an upgraded epPCR method, protein domain library generation by overlap extension (PDLGO), for targeted mutagenesis within specific gene regions.
- To validate PDLGO by generating a focused mutant library of the esterase EstE from Xanthomonas vesicatoria.
- To identify enhanced esterase variants using a high-throughput screening platform.
Main Methods:
- Development of PDLGO, a three-step DNA polymerase-catalyzed reaction enabling targeted random mutations.
- Generation of a random mutant library of EstE using PDLGO, focusing mutations on catalytic domains.
- High-throughput screening of the EstE variant library using E. coli expressing variants in microplates with integrated pH sensors.
Main Results:
- PDLGO successfully confined random mutations exclusively to the intended catalytic domains of EstE, leaving other domains unaltered.
- A variant (P286H) with significantly increased catalytic activity was identified from the generated library.
- The integrated pH sensor microplate system proved effective as a substrate-independent high-throughput screening tool.
Conclusions:
- PDLGO offers a precise and flexible method for generating targeted mutant libraries within specific protein domains.
- The combination of PDLGO and pH sensor microplates provides a rapid and efficient toolbox for the directed evolution of esterases.
- This approach facilitates the discovery of enzyme variants with improved catalytic functions for biotechnological applications.
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