Institut für Bio- und Geowissenschaften 1, Biotechnologie, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
Bioeconomy Science Center (BioSC), Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
Microb Cell Fact. 2018 Mar 29;17(1):52. doi: 10.1186/s12934-018-0901-3.
The secretion of biotechnologically or pharmaceutically relevant recombinant proteins into the culture supernatant of a bacterial expression host greatly facilitates their downstream processing and significantly reduces the production costs. The first step during the secretion of a desired target protein into the growth medium is its transport across the cytoplasmic membrane. In bacteria, two major export pathways, the general secretion or Sec pathway and the twin-arginine translocation or Tat pathway, exist for the transport of proteins across the plasma membrane. The routing into one of these alternative protein export systems requires the fusion of a Sec- or Tat-specific signal peptide to the amino-terminal end of the desired target protein. Since signal peptides, besides being required for the targeting to and membrane translocation by the respective protein translocases, also have additional influences on the biosynthesis, the folding kinetics, and the stability of the respective target proteins, it is not possible so far to predict in advance which signal peptide will perform best in the context of a given target protein and a given bacterial expression host. As outlined in this review, the most promising way to find the optimal signal peptide for a desired protein is to screen the largest possible diversity of signal peptides, either generated by signal peptide variation using large signal peptide libraries or, alternatively, by optimization of a given signal peptide using site-directed or random mutagenesis strategies.
生物技术或药物相关重组蛋白分泌到细菌表达宿主的培养上清液中,极大地促进了它们的下游加工,并显著降低了生产成本。将所需靶蛋白分泌到生长培养基中的第一步是其穿过细胞质膜的运输。在细菌中,存在两种主要的蛋白质跨膜运输途径,即一般分泌途径或 Sec 途径和双精氨酸易位途径或 Tat 途径。这些替代蛋白输出系统之一的路由需要将 Sec 或 Tat 特异性信号肽融合到所需靶蛋白的氨基末端。由于信号肽不仅是各自蛋白转位酶靶向和膜易位所必需的,而且对各自靶蛋白的生物合成、折叠动力学和稳定性也有额外的影响,因此到目前为止,还不可能提前预测哪个信号肽在给定靶蛋白和给定细菌表达宿主的情况下表现最佳。如本综述所述,找到所需蛋白质的最佳信号肽的最有前途的方法是筛选最大可能的信号肽多样性,要么使用大的信号肽文库通过信号肽变异产生,要么通过使用定点或随机诱变策略优化给定的信号肽来产生。