Optimization of expression, purification and secretion of functional recombinant human growth hormone in Escherichia coli using modified staphylococcal protein a signal peptide
BMC Biotechnology volume 21, Article number: 51 (2021)
Human Growth Hormone (hGH) is a glycoprotein released from the pituitary gland. Due to the wide range of effects in humans, any disruption in hGH secretion could have serious consequences. This highlights the clinical importance of hGH production in the treatment of different diseases associated with a deficiency of this hormone. The production of recombinant mature hormone in suitable hosts and secretion of this therapeutic protein into the extracellular space can be considered as one of the best cost-effective approaches not only to obtain the active form of the protein but also endotoxin-free preparation. Since the natural growth hormone signal peptide is of eukaryotic origin and is not detectable by any of the Escherichia coli secretory systems, including Sec and Tat, and is therefore unable to secrete hGH in the prokaryotic systems, designing a new and efficient signal peptide is essential to direct hGh to the extracellular space.
In this study, using a combination of the bioinformatics design and molecular genetics, the protein A signal peptide from Staphylococcus aureus was modified, redesigned and then fused to the mature hGH coding region. The recombinant hGH was then expressed in E. coli and successfully secreted to the medium through the Sec pathway. Secretion of the hGH into the medium was verified using SDS-PAGE and western blot analysis. Recombinant hGH was then expressed in E. coli and successfully secreted into cell culture medium via the Sec pathway. The secretion of hGH into the extracellular medium was confirmed by SDS-PAGE and Western blot analysis. Furthermore, the addition of glycine was shown to improve hGH secretion onto the culture medium. Equations for determining the optimal conditions were also determined. Functional hGH analysis using an ELISA-based method confirmed that the ratio of the active form of secreted hGH to the inactive form in the periplasm is higher than this ratio in the cytoplasm.
Since the native signal protein peptide of S. aureus protein A was not able to deliver hGH to the extracellular space, it was modified using bioinformatics tools and fused to the n-terminal region of hGh to show that the redesigned signal peptide was functional.
Human Growth Hormone (hGH) or somatotropin is a glycoprotein which is released from the pituitary gland. Various forms of this hormone is available while the 191 amino acid length is more predominant . hGH, as a multifunctional hormone, plays various roles in cells. For example, it can have inhibitory effects on glycolysis followed by a direct effect on protein synthesis , as well as increase the absorption and retention of calcium, magnesium and phosphate ions in the body. Any disorder in the secretion of hGH in childhood or adolescence can lead to a variety of diseases including gigantism, acromegaly, and dwarf diseases [2, 3]. hGH has been used in clinics since 1985 to treat a variety of children as well as adults hGH-related disorders, including Prader-Willi syndrome, chronic renal insufficiency, Turner syndrome, AIDS-related wasting, fat accumulation associated with lipodystrophy in adults [4, 5]. It may also be associated with some metabolic complications and even mellitus diabetes . On the other hand, recombinant therapeutical proteins have received a great deal of attention in recent years due to their advantages including low side effects, minimized cytotoxicity, high selectivity, and very low non-specific interactions [7, 8]. These products must be physically and chemically stable enough. Physical instability refers to changes that occur in a three-dimensional structure , while chemical instability refers to any chemical changes in a protein that involves the formation of a bond resulting in the formation of a new chemical . Proper folding of therapeutic proteins is essential for their function . Recent advances in genetic engineering have made it possible for microorganisms to be used for expression of heterologous proteins.
In this approach, heterologous proteins are expressed either as cytoplasmic or intracellularly or secreted as extracellularly . In the first method, a methionine amino acid is necessarily added to the amino terminus as the starting codon for protein expression. Given that this methionine has been shown to stimulate the immune system against heterologous proteins, and since this is very important for pharmaceutical proteins, additional methods must be used to remove this methionine such as the use of different peptidases which imposes an additional step on the system . Expression of the intercellular form can lead to the formation of inclusion bodies that has no functions . Secretion of the heterologous proteins into the extracellular medium is an appropriate choice for obtaining the active, endotoxin-free form of the proteins that can be achieved by fusing the signal peptides to the N-terminal region of the protein. Signal peptides play a vital role in directing the target protein into the periplasmic and extracellular medium . The secretion of protein into the growth medium has many advantages over intracellular expression. These benefits include reducing production costs, facilitation of downstream processes, and stability of the expressed proteins and originality of their N-terminal sequence . In addition, the secretion of heterologous protein in E. coli is an effective strategy to help reduce the contamination with host cell proteins and thus improve the quality of the recombinant products . In addition, if the product is secreted into the culture medium, cell lysis is no longer necessary to recover the product and the product is obtained from the culture medium without disrupting the cell to release cytoplasmic protein contaminants . This strategy is also preferred because it greatly reduces proteolytic activity in the culture medium that occurs immediately after cell lysis with the release of proteases. Various strategies have been used to increase the extracellular secretion of hGH in E. coli strain BL21(DE3), including the use of physical and chemical methods such as osmotic shock, freeze-thaw cycles, lysozyme treatment, and chloroform shock, each of which has its own problems. In the present study, the recombinant hGH was expressed and purified with a very low level of endotoxin contamination and without N-terminal methionine in E. coli . For this purpose, signal peptide from Staphylococcus aureus protein A (SpA) was modified, redesigned based on the Sec secretory system and linked to the coding region of the mature form of the HGH. Finally, optimization of expression and secretion was carried out using Response Surface Methodology (RSM).
Optimization of codon usage
The sequence of optimized hGH gene was deposited in GenBank with the accession numbers of MT321110. Rare gene codons that could reduce translation efficiency were adapted to the expression system of E. coli codon usage. The Codon Adaption Index (CAI) was improved from 0.85 to 0.87. Meanwhile, GC content was also optimized to increase the length of the mRNA half-life and its stability, and the stem-loop structures that blocked the ribosomal connection were removed (Fig. 1 A and Fig. 1 B). FOP of 68 was attained after optimization (Fig.1 C and Fig. 1 D). The ideal percentage range of GC content is between 30 and 70%. GC content adjustment resulted in the average of 50.59% after optimization (Fig. 1 E and Fig. 1 F).
Design of secretory signal peptide
Figure 2, Panel A is a schematic of the S. aureus signal peptide showing the consensus sequence of the Ala-X-Ala box as well as the three associated domains. The C-terminal of the signal peptide contains the signal peptidase cleavage site, which has a conserved “(−3, −1) amino acids” often as Ala-X-Ala .. The designed secretory signal peptide includes three domains. Domain A consists of a region with positively charged amino acids. Domain B consists of a hydrophobic region with a stretch of hydrophobic amino acids and domain C consists of the conserved site for signal peptidase cleavage. The sequence of the natural signal and the designed signal based on the general structure of the natural sec-dependent signal sequences are shown in Fig. 2. The altered amino acids have a lower line, and the alignment of these two signals shows their amino acid different.
Our initial studies showed that the natural signal peptide of the protein A is unable to secrete hGH. Therefore, the natural secretory signal was modified and optimized. Our results show that comparing to the natural signal peptide, the modified one became functional in secreting the hGH. The modified signal peptide is able to secrete the recombinant hGH to the both periplasm space and culture medium. As can be seen in Fig. 2, panel B, a series of amino acid changes have taken place in different regions of the peptide signal, including the N, H, and C2 regions, which increased the ability of the altered peptide signal to secrete growth hormone out of the cell.
For example, replacing arginine with leucine in the modified form of signal peptide has given it a more positive charge in the N domain and increased its ability to enter the cell membrane which has a negative charge. Another important change is seen in the H domain, in which the amino acid isoleucine replaces threonine and the amino acid serine is changed to alanine in the hydrophobic domain, which, as shown in Fig. 5, increases the hydrophobicity of the H region.
Designed gene and tertiary structure
The schematic view of the pET26 plasmid as well as the designed gene structure is shown in supplementary data file 1. The signal peptide hGH-mutant (jei36c) has two Arginine residues R10 and R12 while the signal peptide of the native hGH has one Argentine residue R10. (Fig. 3).
Signal peptide functional analysis
The results of likelihood score-based predictions for the native and modified jei36c signal peptides are shown in Table 1. For prediction with signal peptide (SP) and tail anchor (TA) datasets, scores were calculated from the probability values of TA and SP models (Table 1 and Fig. 4).
Hydrophobicity characteristics of the designed signal peptide
ProtScale online software was used to evaluate the hydrophobicity of the designed signal peptide comparing to the native signal peptide  (Fig. 5). Drawing the hydrophobicity and hydrophilicity profiles for these two signal peptides and examining their different domains to observe the changes in their hydrophobicity and hydrophilicity is shown in Fig. 5 (panels E and B). Comparison of these changes shows that the corresponding profiles in these two signal peptides have changed significantly.
The changes in the mutant signal peptide have been able to increase its hydrophilicity of the N region and, conversely, the hydrophobicity of the H region, and ultimately facilitate the secretion of hGH out of the cell. Taken together, these changes increasing the efficiency of this signal peptide in secreting hGH and make it optimized for the secretion of growth hormone from the sec pathway.
Stability of mRNA
To evaluate the stability of the transcribed mRNAs, the mRNA sequences of hGH resulted from fusion of both native and designed signal peptides were submitted to the mfold online server (http://unafold.rna.albany.edu/?q=mfold/RNA-Folding-Form) . During codon optimization, an attempt was made to remove the secondary structure that attenuates or stops mRNA translation, and as it is shown in the Fig. 6, the translation inhibitory structure is not seen in the starting region.
Evaluation of recombinant growth hormone expression
Different pET26-based plasmids containing the fusion of various signal peptides to the hGH coding region were transformed into E. coli BL21 (DE3) strain.
Recombinant growth hormone expression was induced under different temperatures as well as various concentrations of glycine and lactose. The following are the optimum conditions which led to the high level of hGH expression in our experiment.
Test conditions A: induction of expression with 10% lactose, 1.5% glycine and induction in OD 1.5, incubation at 30 °C overnight. The growth hormone bands are shown in the Fig. 7 and supplementary data file 2.
Test condition B includes induction of expression with 7% lactose, glycine 1% after reaching the bacterial OD to 1.5 and incubation at 25 °C. In this experiment, the sampling time was also reduced to eight hours. In this situation, the supernatant from the bacterial culture was centrifuged at 11000×g for 5 min and the supernatant was precipitated by TCA. As shown in the Fig. 8 and supplementary data file 3, the hGH bands are present in all supernatants except No. 3.
The expression of recombinant hGH was confirmed by western blotting. As shown in Fig. 9A and B and supplementary data file 4, Western blot analysis using a specific polyclonal Antibody raised against hGH was used to confirm the expression of the hormone. Arrows in all Figs. 6, 7 and 8 represent the expressed recombinant hGH that is processed by the cell secretory system and secreted into the environment.
The expressed recombinant hGH was then purified by affinity chromatography and purification was evaluated using SDS-PAGE analysis. As shown in Fig. 10, the hGH is shown as a single, pure band (Line 6, panel B), comparing to its pre-purification state (Lines 1–5, panel A).
Optimization results of the periplasmic hGH expression and secretion
In order to investigate the possible interactions between the factors affecting the production of periplasmic and cytoplasmic hGh production along with their optimal levels, the central composite design (CCD) was used. The matrix is designed and the responses are shown in Table 2. Analysis of variance (ANOVA) based on the response surface model for the periplasmic hGH (Table 3) was calculated. Regarding the expression of periplasmic hGH,, the Model F value of 3.23 implies that the model is significant. Values of “Prob > F” less than 0.05, indicate the significance of the model terms. In this case, C: Cell density at induction time (OD600), and D: Post induction time (h) are significant. Values > 0.1 demonstrate that the model terms are not significant. The “Lack of Fit F value” of 1.42 implies that relative to the pure error, Lack of Fit is not significant. We prefer the model to fit and it is in suitable agreement (Table 3).
Multiple regression analysis of the data was performed, and a first-order polynomial equation for the periplasmic hGH (ug/mL) (Y) according to the coded factors was expressed in eq. 1:
A, B, C, and D, are coded values for IPTG (mM), temperature (°C), cell density at induction time (OD600) and post induction time (h), respectively. The above equation for the actual variables can be rewritten as eq. 2:
According to the Fig. 11, the optimum conditions for maximum expression of recombinant periplasmic hGH (panels, A and B) in E. coli are suggested as follows: IPTG = 0.6 mM, Temperature = 26 °C, post induction time = 10 h and OD at induction time = 1.
Optimization results of the cytoplasmic hGH expression
The designed matrix and the responses are shown in Table 2. Analysis of variance (ANOVA) based on response surface model for cytoplasmic hGH (Table 4) was calculated. For cytoplasmic hGH expression, the Model F value of 4.92 implies that the model is significant. Values of “Prob > F” less than 0.05, show that the model terms are significant. In the case of cytoplasmic expression, C: Cell density at induction time (OD600), D: Post induction time (h) and interaction between B: Temperature (°C), and C: Cell density at induction time (OD600) (BC) are significant model terms. The “Lack of Fit F value” of 0.72 implies that Lack of Fit is not significant relative to the pure error. The “R Squared” of 0.83 is in reasonable agreement (Table 4).
Multiple regression analysis of the data was performed and a first-order polynomial equation for the cytoplasmic hGH (ug/mL) (Y) regarding coded factors was expressed in eq. 3:
where A, B, C, and D, are coded values for IPTG (mM), temperature (°C), cell density at induction time (OD600), and post induction time (h), respectively. In the actual variables, the above equation can be rewritten as eq. 4:
According to the Fig. 11, the optimum conditions for maximum cytoplasmic recombinant hGH expression (panels, C and D) in E. coli were suggested as IPTG = 0.6 mM, temperature = 26 °C, post induction time 10 h and OD at induction time = 1.
Figure 12 shows the interactions between temperature and OD at induction time (OD600) at IPTG = 0.6 mM and post induction time 10 h for cytoplasmic hGH expression.
Determination of functional hGH concentration
After generating the standard curves for each test by plotting the absorbance versus the concentration of each controls, concentrations of the active form of the hGH were obtained from the standard curve (all row data were reported in supplementary data file 5). The results showed that the amount of active form of hGH produced in the periplasm was about 28.12% of the total proteins, while this amount was equal to 10% for the cytoplasm fraction. These results indicate that the secretion of hGH into the periplasmic space by this method causes the protein to fold into its proper structural conformation.
Since its FDA approval in 1985, hGH has been used for clinical applications for more than three decades . A variety of expression hosts has been used for production of hGH including mammalian, yeast and bacterial cells [18,19,20]. The use of E. coli as an expression host has several advantages including the possibility of easy manipulation of bacteria, low growth cost, rapid cell growth and the possibility of culturing high-density cells, which together make it an ideal system, especially from economic view compared to other expression systems . Regarding the expression of recombinant hGH, various strategies have been used for protein expression, including the use of a wide range of different hosts, including eukaryotes such as mammalian cells, yeasts of Saccharomyces cerevisiae, Pichia pastoris, Cluyveromyces lactis, and prokaryotes such as E. coli. However, it can be mentioned with certainty that E. coli is one of the most widely used hosts for the production of pharmaceutical recombinant proteins on an industrial scale. This system is the good choice for the functional expression of non-glycosylated proteins. The advantages of this system include fast growth, high cell density using simple and low cost growth medium, known genetic information, availability of a large number of expression vectors and availability of mutant host strains, simple transfer, easy control, possibility of mass production of recombinant proteins and thus cost-effectiveness. In the case of yeast and mammalian hosts, in most cases, protein production is much lower and more expensive than E. coli host is. A search of the literature shows that in only one study without de novo design of a signal peptide, the hGH coding region was fused to the pelB signal sequence in the commercial pET26 vector and expressed in as a E. coli host and was able to direct hGH to the periplasm . However, the level of expression was very low compared to our developed system. The secretion of recombinant hGH in the system developed by our research team in this study was much higher than the hGH production in that study.
During the cytoplasmic expression of recombinant proteins in E. coli, a single methionine is necessarily added to its N-terminal region. This may not be a problem for industrial enzymes, but in the case of recombinant proteins with pharmaceutical use, in addition to causing unwanted side effects, it is shown that it may stimulate the immune system and produce antibodies against these proteins . Although this methionine can be removed using enzymatic reactions, its removal might impose some problems and additional costs on the system for their mass production, which is not desirable .
A major solution to overcome this problem in E. coli is the secretion of recombinant proteins into the culture medium using a suitable secretory signal peptide. Extracellular production of recombinant proteins has many advantages. The release of the recombinant proteins into the culture medium, in addition to reducing costs in the industry, eliminates the need to disrupt the host cell to extract and purify the proteins. As a result, proteases as well as endotoxins are not released into the environment. In addition, by continuously producing target proteins in the host, more recombinant proteins can be obtained in the fermenter. Although there are advantages to expressing proteins as periplasmic or cytoplasmic, each has disadvantages that limit the use of these methods, such as creating insoluble forms as inclusion body in the cytoplasm or obtaining small amounts of protein in the periplasmic method due to the limited capacity of the periplasm in the E. coli. Several classes of proteins, such as some toxins, are naturally secreted by E. coli, and others can enter the environment from the periplasmic space, possibly due to increased cell membrane permeability during the long incubation period . In this study, the hGH was secreted into the medium through the type II secretion system named Sec pathway. The Sec-dependent system in gram negative bacteria is made of a channel called the SecYEG complex and a translocation protein known as SecA which has ATPase activity. Signal peptide sequences in the N-terminal region of proteins lead these proteins to the Sec system and eventually secrete them out of the cell . These signal peptides have a three-dimensional structure with a positively charged N region, a hydrophobic H region, and a C region in which Ala-X-Ala motif is identified and cleaved by the cellular signal peptidase enzymes [11, 12].
The hGH is a eukaryotic protein and has its own native signal peptide that is recognized by the eukaryotic secretory pathway machinery. However, to secret a recombinant hGH in E. coli that is a prokaryotic host, this signal is not recognized to direct hGH onto the periplasm and then extracellular space. It is known that the secretion processes, mechanisms and components of eukaryotic and prokaryotic secretion systems are different. In this study, the native signal peptide of S. aureus protein A (SpA) was used first to direct the recombinant hGH onto the periplasm and to the extracellular part. Using the native signal peptide, we were able to direct its native partner protein, SpA, to extracellular and periplasmic fraction , in E. coli heterologous expression system. Nevertheless, the use of this signal peptide in this study was not functional and was not successful in directing the recombinant hGH out of the cell. Then the native peptide signal was redesigned and changes were made in its various domains and a novel signal peptide was designed using the relevant softwares. Fortunately, the changes were effective and yielded good results, as this new signal was detected by components of the bacterial secretory system and was able to direct recombinant hGH into periplasm and extracellular space in the E. coli. The natural signal sequence and the designed signal based on the general structure of the sec-dependent signal sequences including all three domains introduced above are shown in Figs. 2 and 3. The probabilities shown on the graph, including SP (Sec/SPI) / LIPO (Sec/SPII) / TAT (Tat/SPI); indicate that the mutated signal peptide has improved the likelihood of the recombinant hGH secretion (Fig. 3). The secretory pathways of Sec and twin-arginine translocation (Tat) pathways function in parallel to transport proteins across the cytoplasmic membranes of prokaryotes as unfolded and folded, respectively (Palmer et al. 2012). So far, several proteins have been secreted extracellularly with this strategy using modified forms of signal peptides [23, 25,26,27,28,29,30,31,32,33,34].
In this study, a series of amino acid changes were made in different regions of the signal peptide, including N, H and C domains.to evaluate and compare the efficiency of signal peptides in directing the recombinant hGH into the periplasmic and extracellular space. These changes were able to increase the hydrophilicity of the N domain and vice versa the hydrophobicity of the H region and finally increased the efficiency of this signal and optimized it for the secretion of hGH through the Sec pathway. Analysis of the hydropathy plots and examination of their different domains from the perspective of hydrophobicity and hydrophilicity showed obvious differences in different domains. Because of these changes, for example, the replacement of arginine instead of leucine in the N region has created a more positive charge in this area which might facilitate membrane entry and possibly increased the ability of the signal peptide to enter a negatively charged membrane. Another important change in the H region is the replacement of the amino acid isoleucine instead of threonine and the amino acid serine with alanine in the hydrophobic region, which has also increased the hydrophobicity of the this domain. Although the changes resulted in the formation of the two amino acids arginine at positions 10 and 12 in the altered signal, its pattern does not match the known motif in the signal peptides of the Tat pathway, which is RRKR.
The search for various internal and foreign patents and the lack of similarity, highlights the innovation and the strength of our work. The cytoplasmic or periplasmic expression of recombinant hGH has many benefits, and therefore much research is being done in this field which has led to the identification of the mechanisms involved in protein secretion in microorganisms, pathways involved and different protein-protein interactions. Based on these findings, many efforts have been made to develop an efficient method for the secretion of recombinant proteins. One of the most important and effective approaches is the use of secretory signal peptides. Secretory signals play an important role in targeting proteins into the periplasmic and extracellular space [13, 14, 35,36,37,38,39,40,41,42,43,44,45,46] . Since the mandatory addition of the amino acid methionine to protein for intracellular expression may elicit an immune response to the protein, this methionine must be removed in later steps. In addition, cytoplasmic production of hGH can lead to the formation of inclusion bodies in which proteins usually lack proper structure and function. Therefore, the secretion of hGH to the extracellular environment is the most appropriate method to obtain an active protein free of endotoxin.
We first tried to use the native SpA signal peptide, which has previously been used successfully in our laboratory to secrete a number of proteins. However, both bioinformatics analysis and experimental results showed that the native signal peptide is not effective in hGH secretion. The original peptide signal is based on protein A in the gram-positive S. aureus, but the altered signal peptide is redesigned for secretion or hGH in the gram-negative bacterium E. coli. However, the general secretion pathway in both signal peptides is through the sec pathway.
One of the challenges of using different signal peptides lies in the fact that a particular signal peptide of one protein may not necessarily function properly when fused to another protein. There is currently no specific method for finding an appropriate signal peptide for protein secretion and in many cases it is based on trial and error.
In the present study, since the native signal protein peptide of S. aureus protein A was not able to deliver hGH to the extracellular space, it was modified using bioinformatics tools and fused to the n-terminal region of hGh to show that the redesigned signal peptide was functional. The efficiency of the redesigned signal peptide in the secretion of recombinant hGH into the periplasmic space as well as the extracellular environment was confirmed by evaluating the presence of hGH in different cell fractions.
Since the H and N domains in signal peptides play a key role in protein secretion, in this study, the hydrophobicity of the H region and the positive charge of the N region, which play an important role in cell membrane fusion, increased. Although the length of the H region has been shown to affect protein secretion and the length of the H region in gram-positive peptide signals is longer than in gram-negative signal peptides, in this study the peptide signal length did not change. A wide range of environmental factors affect gene expression and regulation.
Optimization of hGH production was performed using the RSM. To overcome the disadvantages of the classical experimental design method and evaluate various parameters with a smaller number of experiments, we performed RSM to optimize hGH expression and secretion. In RSM, input variables were changed to achieve the desired output [48,49,50]. We also defined some equations to maintain the best conditions. Determination of functional hGH concentration using a quantitative ELISA assay confirmed that the concentration of active form of hGH and its secretion in the periplasm is higher than the active form of hGH produced in the cytoplasm of bacterial cells. This demonstrates the importance of secreting recombinant pharmaceutical proteins to maintain their function. The results of optimization of hGH production showed that the factors of culture medium temperature, induction rate and time after induction have a positive effect on hGH production. It has also been shown that the use of glycine can improve hGH secretion in culture medium while the mechanism is not yet known.
Also in this study, using the appropriate algorithm and according to the eukaryotic origin of hGH gene, rare codons that reduce translation efficiency were changed in accordance with the E. coli expression system and its preferred codons to the highest possible level of gene expression. Provided that the CAI was upgraded from 0.85 to 0.87 by optimizing the codon. Meanwhile, GC content was also optimized to increase mRNA half-life and stability using related software. Stem-loop structures that prevent ribosomal binding to initiate translation and their stability were removed as much as possible.
Our results generally show that by increasing their efficiency, this prokaryotic secretory expression system could be used in the pharmaceutical industry to produce recombinant proteins. Although these experiments were performed in shake-flask cultures, the results of these experiments should also be performed in a fermenter to investigate the possibility of increasing the scale of protein production. Genetic manipulation of the host strain may also be required to make it more suitable for the expression and secretion of recombinant drug proteins.
Materials and methods
Gene optimization was done for removing the structures that may inhibited high levels of protein expression in E. coli or ribosomal bonding, such as stem-loop structures, sequences cause mRNA instability, cis-acting elements and repetitive signals with negative effects on genes expression.
Investigating the efficiency of the secretory signal peptides
The secretory signal peptide was designed using the web-based bioinformatics tool (SignalP-version 5.0). The secretory signal peptide of the S. aureus protein A was modified by replacing different amino acids in its three different domains  and the ability of native and modified signal peptides in secretion of the hGH were investigated. The modified signal peptide was selected and evaluated by bioinformatics and several softwares such as SignalP-version 5.0, signal peptide (SP), tail anchor (TA) datasets, ProtScale., which mentioned in the text in the related sections.
mRNA stability analysis
To investigate the stability of mRNAs of the gene constructs, the sequences of the mRNAs were submitted to mfold software (http://unafold.rna.albany.edu/?q=mfold/RNA-Folding-Form) .
Tertiary structure analysis
The sequence of the optimized hGH gene was obtained from the Gene data bank with access code MT321110. Also, sequences of Spa native signal peptide from residues 1–36 (ID: TYO48081.1.) and mutant signal peptide (jei36c) (ID: QKG82153.1) were used in this study.
The tertiary structures of the hGH along with different attached signal peptides were predicted by submitting the sequences to the service IntFOLD (Version 5.0) [51, 52]. All of the structures were visualized by PyMOL (DeLano, et al. 2014) and the calculation procedure was as the same as that we reported in our previous works [53,54,55,56].
Several recombinant structures were designed and constructed. In all constructs, the N-terminal Open Reading Frame region of the hGH was fused to an artificial secretory signal peptides based on the sec-dependent pathways signal peptides. E. coli (BL21 DE3) (Novagen, Darmstadt, Germany) competent cells were established by thermal shock as well as chemical treatment with calcium chloride and magnesium chloride. The competent cells were then juxtaposed to the recombinant structures. The cells were cultured in agar-LB culture medium  containing ampicillin 100 μg/ml and incubated at 37 °C for 16 h. The designed constructs containing the native and modified signal peptides fused to the coding region of the of the hGH were codon optimized and synthesized for expression in host E. coli.
Optimization of gene codons
The nucleotide sequence of the signal peptide was codon optimized (without changing the amino acid sequences) for expression in E. coli. The GenSmart™ Codon Optimization tools was used for the codon optimization. Optimization of gene codons was used to optimize a several factors that are critical for the efficiency of hGH gene expression in E. coli such as GC content, codon usage bias using codon adaptation index (CAI) and frequency of optimal codons (FOP) parameters.
Evaluation of recombinant protein expression in culture medium, periplasm and cytoplasm
SDS-PAGE and Western Blot analysis were used to evaluate the expression and secretion of the hGH in E. coli (BL21 DE3) cells. For this, 24 clones containing hGH gene were cultured separately in Luria-Bertani medium. After reaching the optical density (OD) of the culture medium at about 1.2–1.5, the medium was inoculated with 5% lactose and 0.5% glycine, and placed in a 30 °C. Sampling was done 5 and 16 h post inoculation. Expression of hGH in each of the 24 clones were investigated separately.
Fermentation of recombinant clones
A single colony from an E. coli BL21 DE3 carrying hGH gene was transferred to a 1000 ml flask containing 200 ml of F1 medium (Contents of F1culture medium are mentioned in Table 5) and incubated at 37 °C, 200 rpm for 16 h in an incubator shaker.
The New Brunswick fermenter (model Bioflo 3 with a 4-l capacity reservoir) was used for the production of hGH. F1 medium components were prepared individually and sterilized prior to use. Prepared culture medium was inoculated with 200 ml pre-culture medium.
After inoculation, the fermenter operating conditions were set at 37 °C, 400 rpm stirrer and aeration of 1 l per minute. The starting pH was set at 7.0. After 4 h, lactose was added to the culture as an inducer and the process was continued with the same conditions for 10 h. The process was terminated before the consumption of the carbon source.
Protein expression confirmation using SDS-PAGE and Western blot analysis
E. coli BL21 (DE3) in LB medium with 50 μg/μl kanamycin (Merck, Germany) and 7% lactose (Merck, Germany) as an inducer was used for protein expression. Cells were collected and lysis buffer (50 mM Tris base, 10% glycerol, 0.1%Triton X-100) (Merck, Germany) was added to the cells. Total protein was extracted and analyzed using polyacrylamide gel. Transformed bacteria were induced by lactose and sampling was done in different time points T0, T5 and T overnight (To/n). At each stage, the bacteria were precipitated at (5000 rpm for 10 min) and the protein contents were precipitated by adding 100% TCA to the supernatant medium. The bacterial pellets were dissolved in the sample buffer as follows: T0 = in 120 μl sample buffer, T5 = in 250 μl sample buffer, To/n = in 350 μl sample buffer.
Resolved proteins were transferred from SDS-PAGE to the nitrocellulose paper (Wathman, UK). TBS buffer (Sigma, USA) was used for blocking the membrane. Polyclonal antibody produced against hGH was used to approve its expression. Anti-rabbit-HRP conjugated was used as a secondary antibody and the band were decrypted using addition of the 4-chloronaphthol substrate.
Total protein was extracted from the bacteria and hGH was purified using affinity chromatography by Ni-NTA Agarose (Qiagen, USA) based on the manufacturer’s instructions. Ni-NTA Agarose is an affinity chromatography matrix for purifying proteins including a 6XHis-tag. Histidine residues in the 6XHis-tag bind to the sites in the immobilized nickel ions with high specificity and affinity.
Optimization of hGH expression
The effects of four variables including temperature, IPTG concentration, bacterial OD at the time of induction and the incubation time after induction) on the production of periplasmic and cytoplasmic recombinant hGh hormone in E. coli BL21 (DE3) were analyzed using RSM by a central composite design (CCD, Design-Expert v. 11; Stat-Ease, Minneapolis, MN, USA). The expression levels after induction were determined by eventuating the hGh concentrations of the cytoplasmic as well as periplasmic fractions. The amounts of the independent variables along with the corresponding levels used in the central composite design are shown in Table 2.
Determination of functional hGH concentration using an ELISA-based method
In this experiment, the hGH quantitative test kit (Padtan Elm company, Iran) based on solid phase enzyme immunoassay (EIA) method contains two mouse monoclonal antibodies that identify antigenic markers on the surface of the active form of hGH and is able to form To distinguish active hGH from its inactive form, was used. Both standard hGH as well as our laboratory produced hGH were bound to the anti-hGH antibodies, result in developing a blue color. The intensity of the developed color is proportionate to the value of hGH in the sample. The optical density was measured in a 96-Well plate by ELISA reader at 450 nm. Standard curves were created for each test by planning the absorbance amount versus the concentration of each controls. The hGH concentrations of the samples were then taken from the standard curve.
Availability of data and materials
All data generated or analyzed during this study are included in this published article and its supplementary information files 2–5 and tables no: 1–5. Sequence data used in this study is deposited in the GeneBank under the accession Number MT321110.
Sereikaite J, Statkute A, Morkunas M, Radzevicius K, Borromeo V, Secchi C, et al. Production of recombinant mink growth hormone in E. coli. Appl Microbiol Biotechnol. 2007;74(2):316–23. https://doi.org/10.1007/s00253-006-0673-2.
Strobl JS, Thomas MJ. Human growth hormone. Pharmacol Rev. 1994;46(1):1–34.
Filikov AV, Hayes RJ, Luo P, Stark DM, Chan C, Kundu A, et al. Computational stabilization of human growth hormone. Protein Sci. 2002;11(6):1452–61. https://doi.org/10.1110/ps.3500102.
López-Siguero JP, Pfäffle R, Chanson P, Szalecki M, Höbel N, Zabransky M. Ten Years’ clinical experience with biosimilar human growth hormone: a review of efficacy data. Drug Design Dev Ther. 2017;11:1489.
Clemmons D. Consensus guidelines for the diagnosis and treatment of adults with growth hormone deficiency: summary statement of the growth hormone research society workshop on adult growth hormone deficiency. J Clin Endocrinol Metab. 1998;83(2):379–81.
Jespersen AM, Chrestensen T, Klausen NK, Nielsen PF, Sorensen HH. Characterisation of a trisulphide derivative of biosynthetic human growth hormone produced in Escherichia coli. Eur J Biochem. 1994;219(1–2):365–73. https://doi.org/10.1111/j.1432-1033.1994.tb19948.x.
Frokjaer S, Otzen DE. Protein drug stability: a formulation challenge. Nat Rev Drug Discov. 2005;4(4):298–306. https://doi.org/10.1038/nrd1695.
Marx V. Watching peptide drugs grow up. Chem Eng News. 2005;83:17–24.
Jiang H, Wu SL, Karger BL, Hancock WS. Mass spectrometric analysis of innovator, counterfeit, and follow-on recombinant human growth hormone. Biotechnol Prog. 2009;25(1):207–18. https://doi.org/10.1002/btpr.72.
Phung OJ, Coleman CI, Baker EL, Scholle JM, Girotto JE, Makanji SS, et al. Effectiveness of recombinant human growth hormone (rhGH) in the treatment of patients with cystic fibrosis. Rockville: Agency for Healthcare Research and Quality (US); 2010.
Frain KM, Robinson C, van Dijl JM. Transport of folded proteins by the tat system. Protein J. 2019;38(4):377–88. https://doi.org/10.1007/s10930-019-09859-y.
Jurischka S, Bida A, Dohmen-Olma D, Kleine B, Potzkei J, Binder S, et al. A secretion biosensor for monitoring sec-dependent protein export in Corynebacterium glutamicum. Microb Cell Factories. 2020;19(1):11. https://doi.org/10.1186/s12934-019-1273-z.
Jang K, Seo J, Song K, Kim C, Rhee S. Extracellular secretion of levansucrase from Zymomonas mobilis in Escherichia coli. Bioprocess Eng. 1999;21(5):453–8.
Tong L, Lin Q, Wong WR, Ali A, Lim D, Sung WL, et al. Extracellular expression, purification, and characterization of a winter flounder antifreeze polypeptide from Escherichia coli. Protein Expr Purif. 2000;18(2):175–81. https://doi.org/10.1006/prep.1999.1176.
Parker JM, Guo D, Hodges RS. New hydrophilicity scale derived from high-performance liquid chromatography peptide retention data: correlation of predicted surface residues with antigenicity and X-ray-derived accessible sites. Biochemistry. 1986;25(19):5425–32. https://doi.org/10.1021/bi00367a013.
Zuker M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res. 2003;31(13):3406–15. https://doi.org/10.1093/nar/gkg595.
Christiansen JS, Backeljauw PF, Bidlingmaier M, Biller BMK, Boguszewski MCS, Casanueva FF, et al. Growth hormone research society perspective on the development of long-acting growth hormone preparations. Eur J Endocrinol. 2016;174(6):C1–8. https://doi.org/10.1530/EJE-16-0111.
Nottorf T, Hoera W, Buentemeyer H, Siwiora-Brenke S, Loa A, Lehmann J. Production of human growth hormone in a mammalian cell high density perfusion process. Dordrecht: Springer Netherlands; 2007. p. 789–93.
Hsiung HM, Cantrell A, Luirink J, Oudega B, Veros AJ, Becker GW. Use of bacteriocin release protein in E. coli for excretion of human growth hormone into the culture medium. Bio/Technology. 1989;7:267.
Becker GW, Hsiung HM. Expression, secretion and folding of human growth hormone in Escherichia coli. Purification and characterization. FEBS Lett. 1986;204(1):145–50. https://doi.org/10.1016/0014-5793(86)81403-X.
Choi JH, Keum KC, Lee SY. Production of recombinant proteins by high cell density culture of Escherichia coli. Chem Eng Sci. 2006;61(3):876–85. https://doi.org/10.1016/j.ces.2005.03.031.
Kiani J, Zomorodipour A, Ahmad ZRM, Sanati M. Construction of recombinant plasmids for periplasmic expression of human growth hormone in Escherichia coli under T7 and lac promoters. J Sci Islamic Repub Iran. 2003;14(4):311–16.
Rigi G, Farhadpour M, Ghasempour A, Ahmadian G, Aboul-Enein HY. Correction to: Per Aqueous Liquid Chromatography (PALC) as a Simple Method for Native Separation of Protein A. Chromatographia. 2017;80(12):1827.
Ahangari G, Ostadali MR, Rabani A, Rashidian J, Sanati MH, Zarindast MR. Growth hormone antibodies formation in patients treated with recombinant human growth hormone. Int J Immunopathol Pharmacol. 2004;17(1):33–8. https://doi.org/10.1177/039463200401700105.
Rigi G, Mohammadi SG, Arjomand MR, Ahmadian G, Noghabi KA. Optimization of extracellular truncated staphylococcal protein a expression in Escherichia coli BL 21 (DE 3). Biotechnol Appl Biochem. 2014;61(2):217–25. https://doi.org/10.1002/bab.1157.
Aboul-Enein HY, Rigi G, Farhadpour M, Ghasempour A, Ahmadian G. Per aqueous liquid chromatography (PALC) as a simple method for native separation of protein a. Chromatographia. 2017;80(11):1633–9. https://doi.org/10.1007/s10337-017-3412-1.
Armand R, Rigi G, Bahrami T. Fuzzy hybrid least-squares regression approach to estimating the amount of extra cellular recombinant protein A from Escherichia coli BL21. J Ilam Univ Med Sci. 2019;27(3):1–13.
Ghaedmohammadi S, Rigi G, Zadmard R, Ricca E, Ahmadian G. Immobilization of bioactive protein a from Staphylococcus aureus (SpA) on the surface of Bacillus subtilis spores. Mol Biotechnol. 2015;57(8):756–66. https://doi.org/10.1007/s12033-015-9868-z.
Ghahremanifard P, Rezaeinezhad N, Rigi G, Ramezani F, Ahmadian G. Designing a novel signal sequence for efficient secretion of Candida antarctica lipase B in E. coli: The molecular dynamic simulation, codon optimization and statistical analysis approach. Int J Biol Macromol. 2018;119:291–305.
Khodaei S, Ghaedmohammadi S, Mohammadi M, Rigi G, Ghahremanifard P, Zadmard R, et al. Covalent immobilization of protein a on chitosan and pldehyde double-branched chitosan as biocompatible carriers for immunoglobulin G (igg) purification. J Chromatogr Sci. 2018;56(10):933–40. https://doi.org/10.1093/chromsci/bmy070.
Rigi G, Bahrami T, Armand R, Piruzeh Z. Estimation of the amount of recombinant protein a secretion using fuzzy regression. Iran J Health Sci. 2016;4(3):35–44.
Rigi G, Beyranvand P, Ghaedmohammadi S, Heidarpanah S, Akbari Noghabi K, Ahmadian G. Comparison of the extracellular full-length and truncated recombinant protein a production in Escherichia coli BL21 (DE3). J Paramed Sci. 2015;6(3):2008–4978.
Shali A, Rigi G, Pornour M, Ahmadian G. Expression and secretion of cyan fluorescent protein (CFP) in B. subtilis using the chitinase promoter from Bacillus pumilus SG2. Iran Biomed J. 2017;21(4):240.
Falahati-Pour SK, Lotfi AS, Ahmadian G, Baghizadeh A, Behroozi R, Haghighi F. High-level extracellular secretion of organophosphorous hydrolase of Flavobacterium sp. in Escherichia coli BL21(DE3)pLysS. Biotechnol Appl Biochem. 2016;63(6):870–6. https://doi.org/10.1002/bab.1438.
Barrera-Saldaña HA. Genetic engineering-basics, new applications and responsibilities; 2012. https://doi.org/10.5772/1131.
Choi T-J, Geletu TT. High level expression and purification of recombinant flounder growth hormone in E. coli. J Genet Eng Biotechnol. 2018;16(2):347–55. https://doi.org/10.1016/j.jgeb.2018.03.006.
Ding R, Li Z, Chen S, Wu D, Wu J, Chen J. Enhanced secretion of recombinant α-cyclodextrin glucosyltransferase from E. coli by medium additives. Process Biochem. 2010;45(6):880–6. https://doi.org/10.1016/j.procbio.2010.02.009.
Fernández LA, Sola I, Enjuanes L, De Lorenzo V. Specific secretion of active single-chain Fv antibodies into the supernatants of Escherichia coli cultures by use of the hemolysin system. Appl Environ Microbiol. 2000;66(11):5024–9. https://doi.org/10.1128/AEM.66.11.5024-5029.2000.
Jeong KJ, Lee SY. Secretory production of human granulocyte colony-stimulating factor in Escherichia coli. Protein Expr Purif. 2001;23(2):311–8. https://doi.org/10.1006/prep.2001.1508.
Levarski Z, Soltysova A, Krahulec J, Stuchlik S, Turna J. High-level expression and purification of recombinant human growth hormone produced in soluble form in Escherichia coli. Protein Expr Purif. 2014;100:40–7. https://doi.org/10.1016/j.pep.2014.05.003.
Nagahari K, Kanaya S, Munakata K, Aoyagi Y, Mizushima S. Secretion into the culture medium of a foreign gene product from Escherichia coli: use of the ompF gene for secretion of human beta-endorphin. EMBO J. 1985;4(13A):3589–92. https://doi.org/10.1002/j.1460-2075.1985.tb04121.x.
Nielsen H, Tsirigos KD, Brunak S, von Heijne G. A brief history of protein sorting prediction. Protein J. 2019;38(3):200–16. https://doi.org/10.1007/s10930-019-09838-3.
Pearlman R, Wang YJ. Stability and characterization of protein and peptide drugs: case histories. New York: Springer Science & Business Media; 2013.
Rigi G, Ghaedmohammadi S, Ahmadian G. A comprehensive review on staphylococcal protein a (SpA): its production and applications. Biotechnol Appl Biochem. 2019;66(3):454–64. https://doi.org/10.1002/bab.1742.
Yoon SH, Kim SK, Kim JF. Secretory production of recombinant proteins in Escherichia coli. Recent Pat Biotechnol. 2010;4(1):23–9. https://doi.org/10.2174/187220810790069550.
Yu W, Missiakas D, Schneewind O. Septal secretion of protein a in Staphylococcus aureus requires SecA and lipoteichoic acid synthesis. Elife. 2018;7:e34092. https://doi.org/10.7554/eLife.34092.
Natale P, Brüser T, Driessen AJM. Sec- and tat-mediated protein secretion across the bacterial cytoplasmic membrane—distinct translocases and mechanisms. Biochim Biophys Acta Biomembr. 2008;1778(9):1735–56. https://doi.org/10.1016/j.bbamem.2007.07.015.
Sattari F, Rigi G, Ghaedmohammadi S. The first report on molecular cloning, functional expression, purification, and statistical optimization of Escherichia coli-derived recombinant Ficin from Iranian fig tree (Ficus carica cv. Sabz). Int J Biol Macromol. 2020;165(Pt B):2126–35.
Akbariqomi M, Heidari R, Gargari SS, Omrani MD, Rigi G, Sanikhani NS, et al. Evaluation and statistical optimization of a method for methylated cell-free fetal DNA extraction from maternal plasma. J Assist Reprod Genet. 2019;36(5):1029–38. https://doi.org/10.1007/s10815-019-01425-w.
González AG. Two level factorial experimental designs based on multiple linear regression models: a tutorial digest illustrated by case studies. Anal Chim Acta. 1998;360(1–3):227–41. https://doi.org/10.1016/S0003-2670(97)00701-0.
McGuffin LJ, Adiyaman R, Maghrabi AH, Shuid AN, Brackenridge DA, Nealon JO, et al. IntFOLD: an integrated web resource for high performance protein structure and function prediction. Nucleic Acids Res. 2019;47(W1):W408–W13. https://doi.org/10.1093/nar/gkz322.
McGuffin LJ, Shuid AN, Kempster R, Maghrabi AH, Nealon JO, Salehe BR, et al. Accurate template-based modeling in CASP12 using the IntFOLD4-TS, ModFOLD6, and ReFOLD methods. Proteins Struct Func Bioinform. 2018;86:335–44. https://doi.org/10.1002/prot.25360.
Vahed M, Ahmadian G, Ameri N, Vahed M. G-rich VEGF aptamer as a potential inhibitor of chitin trafficking signal in emerging opportunistic yeast infection. Comput Biol Chem. 2019;80:168–76. https://doi.org/10.1016/j.compbiolchem.2019.03.007.
Vahed M, Sweeney A, Shirasawa H, Vahed M. The initial stage of structural transformation of Aβ42 peptides from the human and mole rat in the presence of Fe2+ and Fe3+: related to Alzheimer's disease. Comput Biol Chem. 2019;83:107128. https://doi.org/10.1016/j.compbiolchem.2019.107128.
Vahed M, Neya S, Matsuzaki K, Hoshino T. Simulation study on complex conformations of Aβ42 peptides on a GM1 ganglioside-containing lipid membrane. Chem Pharm Bull. 2018;66(2):170–7. https://doi.org/10.1248/cpb.c17-00740.
Vahed M, Neya S, Matsuzaki K, Hoshino T. Analysis of physicochemical interaction of Aβ40 with a GM1 ganglioside-containing lipid membrane. J Phys Chem B. 2018;122(14):3771–81. https://doi.org/10.1021/acs.jpcb.8b00139.
Luria-Bertani LB. Liquid medium. Cold Spring Harb Protoc. 2006;2006(1):pdb.rec8141.
The present study was supported by the National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
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The schematic view of the pET26 plasmid as well as the designed gene structure.
After generating the standard curves for each test by plotting the absorbance versus the concentration of each controls, concentrations of the active form of the hGH were obtained from the standard curve (all row data were reported in this supplementary data file).
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Rigi, G., Rostami, A., Ghomi, H. et al. Optimization of expression, purification and secretion of functional recombinant human growth hormone in Escherichia coli using modified staphylococcal protein a signal peptide. BMC Biotechnol 21, 51 (2021). https://doi.org/10.1186/s12896-021-00701-x