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      Development an effective system to expression recombinant protein in E. coli via comparison and optimization of signal peptides: Expression of Pseudomonas fluorescens BJ-10 thermostable lipase as case study

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          Abstract

          Background

          Thermostable lipases from microbial sources have been substantially overexpressed in E. coli, however, these enzymes are often produced with low-level enzymatic activity and mainly in the form of inclusion bodies. Several studies have reported that the secretory production of recombinant proteins fused their N-terminus to a signal peptide has been employed to resolve the problem. In general, the feasibility of this approach largely depends on the secretory pathway of signal peptide and the type of target protein to be secreted. This study was performed to compare and optimize signal peptides for efficient secretion of thermostable lipase lipBJ10 from Pseudomonas fluorescens BJ-10. Meanwhile, a comparative study between this method and cytoplasmic secretion was implemented in secreting soluble and active lipases.

          Results

          Fusion expression using six signal peptides, i.e., PelB and five native E. coli signal peptides, as fusion partners produced more soluble and functional recombinant lipBJ10 than non-fusion expression. Recombinant lipBJ10, fused to these six diverse signal peptides, was secreted into the periplasm in E. coli. The total lipase activity in all cases of fusion expression was higher than those in non-fusion expression. The relative activity peaked when lipBJ10 was fused to DsbA, yielding a value 73.3 times greater than that of the non-fusion protein. When DsbA was used as the fusion partner, the highest activity (265.41 U/ml) was achieved with the least formation of inclusion bodies; the other four E. coli signal peptides, to some extent, led to low activity and insoluble inclusion bodies. Therefore, DsbA is the optimal signal peptide partner to fuse with lipBJ10 to efficiently produce soluble and functional protein.

          Conclusion

          We found that fusing to these signal peptides, especially that of DsbA, can significantly decrease the formation of inclusion bodies and enhance the function and solubility of lipBJ10 compared to non-fusion lipBJ10. Our results reported here can provide a reference for the high-level expression of other lipases with respect to a possible industrial application.

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          Most cited references34

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          Recombinant protein folding and misfolding in Escherichia coli.

          The past 20 years have seen enormous progress in the understanding of the mechanisms used by the enteric bacterium Escherichia coli to promote protein folding, support protein translocation and handle protein misfolding. Insights from these studies have been exploited to tackle the problems of inclusion body formation, proteolytic degradation and disulfide bond generation that have long impeded the production of complex heterologous proteins in a properly folded and biologically active form. The application of this information to industrial processes, together with emerging strategies for creating designer folding modulators and performing glycosylation all but guarantee that E. coli will remain an important host for the production of both commodity and high value added proteins.
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            Lipases: Interfacial Enzymes with Attractive Applications

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              Enhancement of soluble protein expression through the use of fusion tags.

              The soluble expression of heterologous proteins in Escherichia coli remains a serious bottleneck in protein production. Although alteration of expression conditions can sometimes solve the problem, the best available tools to date have been fusion tags that enhance the solubility of expressed proteins. However, a systematic analysis of the utility of these solubility fusions has been difficult, and it appears that many proteins react differently to the presence of different solubility tags. The advent of high-throughput structural genomics programs and advances in cloning and expression technology afford us a new way to compare the effectiveness of solubility tags. This data should allow us to better predict the effectiveness of tags currently in use, and might also provide the information needed to identify new fusion tags.
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                Author and article information

                Contributors
                zwqing119@126.com
                lujing@caas.cn
                zhangshuwen@caas.cn
                liulu@caas.cn
                pangxiaoyang@163.com
                kjdairy@126.com
                Journal
                Microb Cell Fact
                Microb. Cell Fact
                Microbial Cell Factories
                BioMed Central (London )
                1475-2859
                28 March 2018
                28 March 2018
                2018
                : 17
                : 50
                Affiliations
                ISNI 0000 0001 0526 1937, GRID grid.410727.7, Institute of Agro-food Science and Technology, , Chinese Academy of Agricultural Sciences (CAAS), ; Beijing, 100193 China
                Article
                894
                10.1186/s12934-018-0894-y
                5872382
                29592803
                cfdac5d4-f258-4967-b74b-058ce959c0fb
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 September 2017
                : 17 March 2018
                Funding
                Funded by: the National Natural Science Foundation of China
                Award ID: 31371808
                Award ID: 31471603
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Biotechnology
                lipase,signal peptide,fusion expression,e. coli,dsba
                Biotechnology
                lipase, signal peptide, fusion expression, e. coli, dsba

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