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Cultivation to improve in vivo solubility of overexpressed arginine deiminases in Escherichia coli and the enzyme characteristics.

ABSTRACT: BACKGROUND: Overexpression of foreign genes in Escherichia coli cells is an efficient means to obtain recombinant proteins. The technique is, however, often hampered by misfolding, degradation, aggregation and formation in inclusion bodies of products. RESULTS: In this study, we reported that in vivo solubility of overexpressed arginine deiminases (ADI) improved by changing the cultivation conditions. ADI is enzymes that convert L-arginine to L-citrulline. After codon optimization, we synthesized the ADI gene of Pseudomonas putida and constructed it for overexpression in E. coli cells. The rADI products were mainly in inclusion body forms. We performed a series of optimization to enhance solubility of the protein. Co-expression with the GroES-GroEL chaperone team increased approximately 5-fold of the rADI activity. In addition the combination of L-arginine and D-glucose in the Luria-Bertani (LB) growth medium further increased the total activity to about 15 times. Separate L-arginine and D-glucose or the addition of other saccharides or amino acids had no such effects. The solubilization effects of the combination of L-arginine and D-glucose were further confirmed in the overexpression of another ADI from Listeria welshimeri. The enzymatic and conversion characteristics of the rADI products were further determined. CONCLUSIONS: Combined addition of L-arginine and D-glucose in the LB medium significantly improved in vivo solubility of rADI proteins. The present study suggested a new strategy to increase the solubilization of overexpressed recombinant proteins in E. coli cells.

SUBMITTER: Wang Y

PROVIDER: S-EPMC4072490 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Cultivation to improve in vivo solubility of overexpressed arginine deiminases in Escherichia coli and the enzyme characteristics.

Wang Ying Y Li Yue-Zhong YZ

BMC biotechnology 20140607

<h4>Background</h4>Overexpression of foreign genes in Escherichia coli cells is an efficient means to obtain recombinant proteins. The technique is, however, often hampered by misfolding, degradation, aggregation and formation in inclusion bodies of products.<h4>Results</h4>In this study, we reported that in vivo solubility of overexpressed arginine deiminases (ADI) improved by changing the cultivation conditions. ADI is enzymes that convert L-arginine to L-citrulline. After codon optimization, ...[more]

PMID: 24908259

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Project description:BackgroundOver the last 20 years in biotechnology, the production of recombinant proteins has been a crucial bioprocess in both biopharmaceutical and research arena in terms of human health, scientific impact and economic volume. Although logical strategies of genetic engineering have been established, protein overexpression is still an art. In particular, heterologous expression is often hindered by low level of production and frequent fail due to opaque reasons. The problem is accentuated because there is no generic solution available to enhance heterologous overexpression. For a given protein, the extent of its solubility can indicate the quality of its function. Over 30% of synthesized proteins are not soluble. In certain experimental circumstances, including temperature, expression host, etc., protein solubility is a feature eventually defined by its sequence. Until now, numerous methods based on machine learning are proposed to predict the solubility of protein merely from its amino acid sequence. In spite of the 20 years of research on the matter, no comprehensive review is available on the published methods.ResultsThis paper presents an extensive review of the existing models to predict protein solubility in Escherichia coli recombinant protein overexpression system. The models are investigated and compared regarding the datasets used, features, feature selection methods, machine learning techniques and accuracy of prediction. A discussion on the models is provided at the end.ConclusionsThis study aims to investigate extensively the machine learning based methods to predict recombinant protein solubility, so as to offer a general as well as a detailed understanding for researches in the field. Some of the models present acceptable prediction performances and convenient user interfaces. These models can be considered as valuable tools to predict recombinant protein overexpression results before performing real laboratory experiments, thus saving labour, time and cost.

Project description:Proteins are well-known to undergo a variety of post-translational modifications (PTMs). One such PTM is citrullination, an arginine modification that is catalyzed by a group of hydrolases called protein arginine deiminases (PADs). Hundreds of proteins are known to be citrullinated and hypercitrullination is associated with autoimmune diseases including rheumatoid arthritis (RA), lupus, ulcerative colitis (UC), Alzheimer's disease, multiple sclerosis (MS), and certain cancers. In this Account, we summarize our efforts to understand the structure and mechanism of the PADs and to develop small molecule chemical probes of protein citrullination. PAD activity is highly regulated by calcium. Structural studies with PAD2 revealed that calcium-binding occurs in a stepwise fashion and induces a series of dramatic conformational changes to form a catalytically competent active site. These studies also identified the presence of a calcium-switch that controls the overall calcium-dependence and a gatekeeper residue that shields the active site in the absence of calcium. Using biochemical and site-directed mutagenesis studies, we identified the key residues (two aspartates, a cysteine, and a histidine) responsible for catalysis and proposed a general mechanism of citrullination. Although all PADs follow this mechanism, substrate binding to the thiolate or thiol form of the enzyme varies for different isozymes. Substrate-specificity studies revealed that PADs 1-4 prefer peptidyl-arginine over free arginine and certain citrullination sites on a peptide substrate. Using high-throughput screening and activity-based protein profiling (ABPP), we identified several reversible (streptomycin, minocycline, and chlorotetracycline) and irreversible (streptonigrin, NSC 95397) PAD-inhibitors. Screening of a DNA-encoded library and lead-optimization led to the development of GSK199 and GSK484 as highly potent PAD4-selective inhibitors. Furthermore, use of an electrophilic, cysteine-targeted haloacetamidine warhead to mimic the guanidinium group in arginine afforded several mechanism-based pan-PAD-inhibitors including Cl-amidine and BB-Cl-amidine. These compounds are highly efficacious in various animal models, including those mimicking RA, UC, and lupus. Structure-activity relationships identified numerous covalent PAD-inhibitors with different bioavailability, in vivo stability, and isozyme-selectivity (PAD1-selective: D-Cl-amidine; PAD2-selective: compounds 16-20; PAD3-selective: Cl4-amidine; and PAD4-selective: TDFA). Finally, this Account describes the development of PAD-targeted and citrulline-specific chemical probes. While PAD-targeted probes were utilized for identifying off-targets and developing high-throughput inhibitor screening platforms, citrulline-specific probes enabled the proteomic identification of novel diagnostic biomarkers of hypercitrullination-related autoimmune diseases.

Project description:An elegantly simple and probably ancient molecular mechanism of allostery is described for the Escherichia coli arginine repressor ArgR, the master feedback regulator of transcription in L-arginine metabolism. Molecular dynamics simulations with ArgRC, the hexameric domain that binds L-arginine with negative cooperativity, reveal that conserved arginine and aspartate residues in each ligand-binding pocket promote rotational oscillation of apoArgRC trimers by engagement and release of hydrogen-bonded salt bridges. Binding of exogenous L-arginine displaces resident arginine residues and arrests oscillation, shifting the equilibrium quaternary ensemble and promoting motions that maintain the configurational entropy of the system. A single L-arg ligand is necessary and sufficient to arrest oscillation, and enables formation of a cooperative hydrogen-bond network at the subunit interface. The results are used to construct a free-energy reaction coordinate that accounts for the negative cooperativity and distinctive thermodynamic signature of L-arginine binding detected by calorimetry. The symmetry of the hexamer is maintained as each ligand binds, despite the conceptual asymmetry of partially-liganded states. The results thus offer the first opportunity to describe in structural and thermodynamic terms the symmetric relaxed state predicted by the concerted allostery model of Monod, Wyman, and Changeux, revealing that this state is achieved by exploiting the dynamics of the assembly and the distributed nature of its cohesive free energy. The ArgR example reveals that symmetry can be maintained even when binding sites fill sequentially due to negative cooperativity, which was not anticipated by the Monod, Wyman, and Changeux model. The molecular mechanism identified here neither specifies nor requires a pathway for transmission of the allosteric signal through the protein, and it suggests the possibility that binding of free amino acids was an early innovation in the evolution of allostery.

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Cultivation to improve in vivo solubility of overexpressed arginine deiminases in Escherichia coli and the enzyme characteristics.

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Cultivation to improve in vivo solubility of overexpressed arginine deiminases in Escherichia coli and the enzyme characteristics.

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