Functional and structural evaluation of the antileukaemic enzyme L-asparaginase II expressed at low temperature by different Escherichia coli strains

Heterologous expression of fungal L-asparaginase: a systematic review

Aim: To review the available literature about heterologous expression of fungal L-asparaginase (L-ASNase). Materials & methods: A search was conducted across PubMed, Science Direct, Scopus and Web of Science databases; 4172 citations were identified and seven articles were selected. Results: The results showed that heterologous expression of fungal L-ASNase was performed mostly in bacterial expression systems, except for a study that expressed L-ASNase in a yeast system. Only three publications reported the purification and characterization of the enzyme. Conclusion: The information reported in this systematic review can contribute significantly to the recognition of the importance of biotechnological techniques for L-ASNase production.

Characterization of a Type II L-Asparaginase from the Halotolerant Bacillus subtilis CH11

L-asparaginases from bacterial sources have been used in antineoplastic treatments and the food industry. A type II L-asparaginase encoded by the N-truncated gene ansZP21 of halotolerant Bacillus subtilis CH11 isolated from Chilca salterns in Peru was expressed using a heterologous system in Escherichia coli BL21 (DE3)pLysS. The recombinant protein was purified using one-step nickel affinity chromatography and exhibited an activity of 234.38 U mg-1 and a maximum catalytic activity at pH 9.0 and 60 °C. The enzyme showed a homotetrameric form with an estimated molecular weight of 155 kDa through gel filtration chromatography. The enzyme half-life at 60 °C was 3 h 48 min, and L-asparaginase retained 50% of its initial activity for 24 h at 37 °C. The activity was considerably enhanced by KCl, CaCl2, MgCl2, mercaptoethanol, and DL-dithiothreitol (p-value < 0.01). Moreover, the Vmax and Km were 145.2 µmol mL-1 min-1 and 4.75 mM, respectively. These findings evidence a promising novel type II L-asparaginase for future industrial applications.

Engineering and Expression Strategies for Optimization of L-Asparaginase Development and Production

Genetic engineering for heterologous expression has advanced in recent years. Model systems such as Escherichia coli, Bacillus subtilis and Pichia pastoris are often used as host microorganisms for the enzymatic production of L-asparaginase, an enzyme widely used in the clinic for the treatment of leukemia and in bakeries for the reduction of acrylamide. Newly developed recombinant L-asparaginase (L-ASNase) may have a low affinity for asparagine, reduced catalytic activity, low stability, and increased glutaminase activity or immunogenicity. Some successful commercial preparations of L-ASNase are now available. Therefore, obtaining novel L-ASNases with improved properties suitable for food or clinical applications remains a challenge. The combination of rational design and/or directed evolution and heterologous expression has been used to create enzymes with desired characteristics. Computer design, combined with other methods, could make it possible to generate mutant libraries of novel L-ASNases without costly and time-consuming efforts. In this review, we summarize the strategies and approaches for obtaining and developing L-ASNase with improved properties.

Current state of molecular and metabolic strategies for the improvement of L-asparaginase expression in heterologous systems

Heterologous expression of L-asparaginase (L-ASNase) has become an important area of research due to its clinical and food industry applications. This review provides a comprehensive overview of the molecular and metabolic strategies that can be used to optimize the expression of L-ASNase in heterologous systems. This article describes various approaches that have been employed to increase enzyme production, including the use of molecular tools, strain engineering, and in silico optimization. The review article highlights the critical role that rational design plays in achieving successful heterologous expression and underscores the challenges of large-scale production of L-ASNase, such as inadequate protein folding and the metabolic burden on host cells. Improved gene expression is shown to be achievable through the optimization of codon usage, synthetic promoters, transcription and translation regulation, and host strain improvement, among others. Additionally, this review provides a deep understanding of the enzymatic properties of L-ASNase and how this knowledge has been employed to enhance its properties and production. Finally, future trends in L-ASNase production, including the integration of CRISPR and machine learning tools are discussed. This work serves as a valuable resource for researchers looking to design effective heterologous expression systems for L-ASNase production as well as for enzymes production in general.

[Approaches for improving L-asparaginase expression in heterologous systems]

L-asparaginase (EC 3.5.1.1) is one of the most demanded enzymes used in the pharmaceutical industry as a drug and in the food industry to prevent the formation of toxic acrylamide. Researchers aimed to improve specific activity and reduce side effects to create safer and more potent enzyme products. However, protein modifications and heterologous expression remain problematic in the production of asparaginases from different species. Heterologous expression in optimized producer strains is rationally organized; therefore, modified and heterologous protein expression is enhanced, which is the main strategy in the production of asparaginase. This strategy solves several problems: incorrect protein folding, metabolic load on the producer strain and codon misreading, which affects translation and final protein domains, leading to a decrease in catalytic activity. The main approaches developed to improve the heterologous expression of L-asparaginases are considered in this paper.

Evaluating Five Escherichia coli Derivative Strains as a Platform for Arginine Deiminase Overproduction

AIMS

This study attempted to evaluate the five host strains, including BL21 (DE3), Rosetta (DE3), DH5α, XL1-BLUE, and SHuffle, in terms of arginine deiminase (ADI) production and enzyme activity.

BACKGROUND

Escherichia coli is one of the most preferred host microorganisms for the production of recombinant proteins due to its well-characterized genome, availability of various expression vectors, and host strains. Choosing a proper host strain for the overproduction of a desired recombinant protein is very important because of the diversity of genetically modified expression strains. Various E. coli cells have been examined in different patent applications.

METHOD

ADI was chosen as a bacterial enzyme that degrades L-arginine. It is effective in the treatment of some types of human cancers like melanoma and hepatocellular carcinoma (HCC), which are arginine-auxotrophic. Five mentioned E. coli strains were cultivated. The pET-3a was used as the expression vector. The competent E. coli cells were obtained through the CaCl2 method. It was then transformed with the construct of pET3a-ADI using the heat shock strategy. The ADI production levels were examined by 10% SDS-PAGE analysis. The ability of host strains for the expression of the requested recombinant protein was compared. The enzymatic activity of the obtained recombinant ADI from each studied strain was assessed by a colorimetric 96-well microtiter plate assay.

RESULT

All the five strains exhibited a significant band at 46 kDa. BL21 (DE3) produced the highest amount of ADI protein, followed by Rosetta (DE3). The following activity assay showed that ADI from BL21 (DE3) and Rosetta (DE3) had the most activity.

CONCLUSION

There are some genetic and metabolic differences among the various E. coli strains, leading to differences in the amount of recombinant protein production. The results of this study can be used for the efficacy evaluation of the five studied strains for the production of similar pharmaceutical enzymes. The strains also could be analyzed in terms of proteomics.