Ahmadi Zeynab, Farajnia Safar, Farajzadeh Davoud, Pouladi Naser, Pourvatan Neda, Karbalaeimahdi Mohammad, Shayegh Fahime, Arya Maryam
Department of Biology, Faculty of Basic Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran.
Drug Applied Research Center, Tabriz University of Medical Science, Tabriz, Iran.
Adv Pharm Bull. 2023 Mar;13(2):339-349. doi: 10.34172/apb.2023.037. Epub 2022 Apr 4.
The human somatropin is a single-chain polypeptide with a pivotal role in various biological processes. Although is considered as a preferred host for the production of human somatropin, the high expression of this protein in results in the accumulation of protein as inclusion bodies. Periplasmic expression using signal peptides could be used to overcome the formation of inclusion bodies; still, the efficiency of each of the signal peptides in periplasmic transportation is varied and often is protein specific. The present study aimed to use analysis to identify an appropriate signal peptide for the periplasmic expression of human somatropin in . A library containing 90 prokaryotic and eukaryotic signal peptides were collected from the signal peptide database, and each signal's characteristics and efficiency in connection with the target protein were analyzed by different software. The prediction of the secretory pathway and the cleavage position was determined by the signalP5 server. Physicochemical properties, including molecular weight, instability index, gravity, and aliphatic index, were investigated by ProtParam software. The results of the present study showed that among all the signal peptides studied, five signal peptides ynfB, sfaS, lolA, glnH, and malE displayed high scores for periplasmic expression of human somatropin in , respectively. In conclusion, the results indicated that in-silico analysis could be used for the identification of suitable signal peptides for the periplasmic expression of proteins. Further laboratory studies can evaluate the accuracy of the results of analysis.
人生长激素是一种单链多肽，在各种生物过程中起关键作用。尽管大肠杆菌被认为是生产人生长激素的首选宿主，但该蛋白在大肠杆菌中的高表达会导致蛋白质以包涵体的形式积累。使用信号肽进行周质表达可用于克服包涵体的形成；然而，每种信号肽在周质转运中的效率各不相同，且通常具有蛋白质特异性。本研究旨在利用计算机分析来鉴定一种适合人生长激素在大肠杆菌中进行周质表达的信号肽。从信号肽数据库中收集了一个包含90种原核和真核信号肽的文库，并通过不同软件分析了每种信号肽与目标蛋白相关的特性和效率。分泌途径和切割位置的预测由signalP5服务器确定。通过ProtParam软件研究了包括分子量、不稳定指数、亲水性和脂肪族指数在内的理化性质。本研究结果表明，在所研究的所有信号肽中，ynfB、sfaS、lolA、glnH和malE这五种信号肽在人生长激素于大肠杆菌中的周质表达方面分别显示出高分。总之，结果表明计算机分析可用于鉴定适合蛋白质周质表达的信号肽。进一步的实验室研究可以评估计算机分析结果的准确性。
