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Engineering protein translocation and unfolded protein response enhanced human PH-20 secretion in Pichia pastoris

分泌物 毕赤酵母 信号肽 分泌蛋白 内质网 重组DNA 未折叠蛋白反应 生物化学 生物 蛋白质工程 酵母 细胞生物学 分泌途径 基因 高尔基体
作者
Yue-Sheng Zhang,Jin‐Song Gong,Jiayu Jiang,Zhenghong Xu,Jin‐Song Shi
出处
期刊:Applied Microbiology and Biotechnology [Springer Nature]
卷期号:108 (1)
标识
DOI:10.1007/s00253-023-12878-6
摘要

Hyaluronidases catalyze the degradation of hyaluronan (HA), which is finding rising applications in medicine, cosmetic, and food industries. Recombinant expression of hyaluronidases in microbial hosts has been given special attention as a sustainable way to substitute animal tissue–derived hyaluronidases. In this study, we focused on optimizing the secretion of hyaluronidase from Homo sapiens in Pichia pastoris by secretion pathway engineering. The recombinant hyaluronidase was first expressed under the control of a constitutive promoter PGCW14. Then, two endoplasmic reticulum–related secretory pathways were engineered to improve the secretion capability of the recombinant strain. Signal peptide optimization suggested redirecting the protein into co-translational translocation using the ost1-proα signal sequence improved the secretion level by 20%. Enhancing the co-translational translocation by overexpressing signal recognition particle components further enhanced the secretory capability by 48%. Then, activating the unfolded protein response by overexpressing a transcriptional factor ScHac1p led to a secreted hyaluronidase activity of 4.06 U/mL, which was 2.1-fold higher than the original strain. Finally, fed-batch fermentation elevated the production to 19.82 U/mL. The combined engineering strategy described here could be applied to enhance the secretion capability of other proteins in yeast hosts. • Improving protein secretion by enhancing co-translational translocation in P. pastoris was reported for the first time. • Overexpressing Hac1p homologous from different origins improved the rhPH-20 secretion. • A 4.9-fold increase in rhPH-20 secretion was achieved after fermentation optimization and fed-batch fermentation.
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