Li-Hua Liu, Yu Guo, Min Yang, Yang Zhang, Yi-Rui Wu, Ao Jiang, Zhiqian Zhang
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引用次数: 0
Abstract
Robust and stable protein secretion is crucial for efficient recombinant protein production. Here, a novel and powerful platform using split GFP activated droplet sorting (SGADS) has been developed to significantly boost the yields of the protein of interest (POI). The SGADS platform leverages solubilizing peptide P17 and secretory expression in Bacillus subtilis to optimize two split GFP sensors: the P17-GFP1-9/GFP10-POI-GFP11 sensor for assessing protease activity and the P17-GFP1-10/GFP11-POI sensor for measuring secretion capacity. This innovative platform has demonstrated its effectiveness by successfully screening high-performance mutant strains capable of producing collagen, amylase, and protein glutaminase across a range of host organisms, including Escherichia coli, Bacillus subtilis, and Pichia pastoris. The substantial increases in production achieved with the SGADS platform highlight its broad applicability and potential in enhancing recombinant protein production.
期刊介绍:
Protein Science, the flagship journal of The Protein Society, is a publication that focuses on advancing fundamental knowledge in the field of protein molecules. The journal welcomes original reports and review articles that contribute to our understanding of protein function, structure, folding, design, and evolution.
Additionally, Protein Science encourages papers that explore the applications of protein science in various areas such as therapeutics, protein-based biomaterials, bionanotechnology, synthetic biology, and bioelectronics.
The journal accepts manuscript submissions in any suitable format for review, with the requirement of converting the manuscript to journal-style format only upon acceptance for publication.
Protein Science is indexed and abstracted in numerous databases, including the Agricultural & Environmental Science Database (ProQuest), Biological Science Database (ProQuest), CAS: Chemical Abstracts Service (ACS), Embase (Elsevier), Health & Medical Collection (ProQuest), Health Research Premium Collection (ProQuest), Materials Science & Engineering Database (ProQuest), MEDLINE/PubMed (NLM), Natural Science Collection (ProQuest), and SciTech Premium Collection (ProQuest).