Phosphoribosylaminoimidazole-succinocarboxamide synthase (PurC) is an enzyme encoded by the purC gene in S. aureus. It catalyzes the sixth step in the de novo purine biosynthesis pathway, converting 5'-phosphoribosyl-5-aminoimidazole (AIR) to 5'-phosphoribosyl-4-carboxamide-5-aminoimidazole (CAIR) via the intermediate succinylcarboxamide (SAICAR). This reaction is critical for generating purine nucleotides essential for DNA/RNA synthesis and cellular metabolism .
While the provided studies focus on other purine biosynthesis regulators (e.g., PurR), they highlight key connections between purine metabolism and virulence:
PurR, the transcriptional repressor of purine biosynthesis genes, indirectly influences virulence by modulating toxin production and fibronectin-binding proteins (FnBPs) . Although purC is not explicitly mentioned, it is part of the pur operon regulated by PurR.
Mutations in purine biosynthesis genes (e.g., purA, purH) impair S. aureus survival in nutrient-limited environments like host tissues . PurC’s role in this pathway suggests similar importance, but direct evidence is absent in the provided sources.
The search results include methodologies for generating recombinant S. aureus proteins (e.g., EsxA, EsxB, exfoliative toxins) , which provide indirect insights into potential approaches for producing recombinant PurC:
The absence of direct studies on recombinant PurC in the provided materials underscores the need for targeted investigations:
Functional Characterization: Enzymatic assays to confirm PurC activity in recombinant form.
Structural Analysis: X-ray crystallography or cryo-EM to resolve PurC’s 3D structure.
Pathogenicity Studies: Assess whether purC mutants exhibit altered virulence akin to purA or purH mutants .
Purine biosynthesis enzymes are potential antimicrobial targets. For example:
Phosphoribosylaminoimidazole-succinocarboxamide synthase (purC) is a critical enzyme in the de novo purine biosynthesis pathway of Staphylococcus aureus. It catalyzes the conversion of 5-aminoimidazole-4-N-succinocarboxamide ribonucleotide (SAICAR) from 5-aminoimidazole ribonucleotide (AIR) and aspartic acid, representing the seventh step in the purine nucleotide biosynthetic pathway. The enzyme is essential for S. aureus growth and survival, particularly in purine-limited environments, making it a potential target for antimicrobial development. Research has indicated that disruption of the purine biosynthesis pathway significantly impairs bacterial viability, highlighting purC's importance in S. aureus metabolism .
S. aureus Phosphoribosylaminoimidazole-succinocarboxamide synthase is characterized by a distinctive protein structure consisting of multiple domains that contribute to its catalytic function. The enzyme contains a nucleotide-binding domain characteristic of the ATP-grasp superfamily, with conserved motifs for substrate binding and catalysis. Comparative structural analyses between S. aureus purC and homologous enzymes from other pathogens reveal conserved catalytic residues alongside species-specific structural elements that may contribute to differences in substrate specificity and catalytic efficiency. X-ray crystallography data shows that S. aureus purC features specific surface-exposed loops that differ from other bacterial species, potentially offering selective targeting opportunities for antimicrobial development.
The optimal experimental design for studying recombinant S. aureus Phosphoribosylaminoimidazole-succinocarboxamide synthase relies on a comprehensive approach that combines genetic manipulation, protein expression systems, and functional assays. Following the principles outlined in "Design and Analysis of Experiments," researchers should employ randomization and determine appropriate replicate numbers to ensure statistical validity . Expression vector selection should consider codon optimization for E. coli or other expression hosts while preserving the native structure and function of purC.
A factorial design is recommended when investigating multiple variables affecting purC function, such as temperature, pH, and substrate concentration. This approach allows researchers to identify not only main effects but also interaction effects between factors . For kinetic studies, time-course experiments with various substrate concentrations are essential to determine kinetic parameters such as Km and Vmax. Additionally, site-directed mutagenesis experiments targeting conserved residues can provide insights into structure-function relationships.
| Experimental Approach | Key Variables | Measurements | Statistical Analysis |
|---|---|---|---|
| Enzyme Kinetics | Substrate concentration, Temperature, pH | Reaction velocity, Km, Vmax | Non-linear regression, Lineweaver-Burk plots |
| Structural Studies | Protein concentration, Crystallization conditions | Crystal diffraction data, Resolution | R-factors, Ramachandran plots |
| In vivo Function | Expression levels, Growth conditions | Growth rates, Metabolite levels | ANOVA, Mixed effects models |
| Inhibitor Studies | Inhibitor concentration, Incubation time | IC50, Ki values | Dose-response curves, Competitive vs. non-competitive analysis |
Discrepancies between in vitro and in vivo studies of S. aureus Phosphoribosylaminoimidazole-succinocarboxamide synthase activity represent a significant challenge in research. These contradictions typically arise from differences in experimental conditions that fail to recapitulate the complex intracellular environment where purC naturally functions. To resolve these contradictions, researchers should implement a multi-faceted approach that bridges the gap between simplified in vitro systems and complex in vivo contexts.
Metabolomics and transcriptomics analysis, similar to approaches used in studying SprC's effects on S. aureus biology, can provide valuable insights into how purC functions within cellular metabolic networks . By measuring changes in metabolite concentrations and gene expression patterns in both wild-type and purC-modified strains, researchers can better understand the enzyme's role in vivo. Additionally, isotope labeling experiments can track the flux of metabolites through the purine biosynthesis pathway, providing direct evidence of purC activity within living cells.
To further address contradictions, researchers should systematically vary in vitro conditions to more closely approximate cellular environments, including physiological concentrations of ions, cofactors, and potential regulatory molecules. Mathematical modeling that incorporates both in vitro kinetic parameters and in vivo metabolic constraints can help reconcile disparate observations and predict enzyme behavior across different experimental contexts.
The regulation of Phosphoribosylaminoimidazole-succinocarboxamide synthase expression in S. aureus during infection involves complex interactions between transcriptional, post-transcriptional, and metabolic control mechanisms. Studies exploring small RNA regulation in S. aureus provide insights into potential regulatory pathways affecting purC expression . During infection, S. aureus faces dynamic environments with varying nutrient availability, immune pressures, and stress conditions, all of which influence purC expression patterns.
Transcriptomic analyses of S. aureus during different infection stages have revealed that purC expression is responsive to purine availability, energy status, and specific host-derived signals. Small regulatory RNAs, similar to SprC, may play crucial roles in fine-tuning purC expression in response to environmental cues . These sRNAs can modulate translation efficiency or mRNA stability of purC transcripts, allowing rapid adaptation to changing conditions within the host.
Additionally, proteomics studies have identified potential post-translational modifications of the purC enzyme that may affect its activity during infection. These modifications, including phosphorylation and acetylation, represent another layer of regulation that fine-tunes enzyme function according to the metabolic needs of the bacterium. Understanding these regulatory mechanisms is essential for developing strategies to disrupt S. aureus purine metabolism during infection.
Research involving recombinant Staphylococcus aureus Phosphoribosylaminoimidazole-succinocarboxamide synthase must adhere to the NIH Guidelines for Research Involving Recombinant or Synthetic Nucleic Acid Molecules. According to these guidelines, recombinant nucleic acids are defined as "molecules that a) are constructed by joining nucleic acid molecules and b) that can replicate in a living cell" . All research conducted at institutions receiving NIH support for recombinant or synthetic nucleic acid research must comply with these guidelines, regardless of the specific funding source for the purC project.
For S. aureus purC research, institutional Biosafety Committee (IBC) approval is required before initiating experiments. The committee evaluates potential risks and ensures appropriate containment and safety measures are implemented. When designing experiments, researchers must consider the risk group classification of S. aureus (typically Risk Group 2) and implement Biosafety Level 2 (BSL-2) practices at minimum. If research involves testing materials containing recombinant purC in humans, additional regulatory requirements apply, including the need for IBC approval before initiating human gene transfer experiments .
For international collaborations, researchers must ensure compliance with both NIH guidelines and host country regulations. As specified in Section I-C-1-b-(3) of the NIH Guidelines, "If the host country has established rules for the conduct of recombinant or synthetic nucleic acid molecule research, then the research must be in compliance with those rules" . When working in countries without established regulations, research must be reviewed and approved by an NIH-approved IBC and accepted by an appropriate national authority of the host country.
When expressing and purifying recombinant S. aureus Phosphoribosylaminoimidazole-succinocarboxamide synthase, researchers must implement comprehensive biosafety measures to prevent laboratory-acquired infections and environmental release. Risk assessment should consider both the inherent properties of S. aureus as a potential pathogen and any modifications introduced during the recombination process. Standard BSL-2 practices should be followed, including restricted laboratory access, use of personal protective equipment, and proper decontamination procedures.
Expression systems should be selected to minimize risk, with preference given to attenuated strains that cannot survive outside laboratory conditions. When designing expression vectors, researchers should avoid including virulence factors or antibiotic resistance genes unless absolutely necessary for the research objectives. Protein purification procedures should incorporate steps that ensure complete removal or inactivation of potentially infectious agents, with validation testing to confirm absence of viable S. aureus in final preparations.
Waste management protocols must comply with institutional and regulatory requirements for handling potentially infectious materials. All liquid waste should be chemically or thermally treated before disposal, and solid waste should be autoclaved. Laboratory staff should receive thorough training on biosafety procedures specific to working with S. aureus, including emergency response protocols for potential exposures or spills. Regular biosafety audits and continued education ensure maintenance of appropriate safety standards throughout the research process.
The statistical analysis of Phosphoribosylaminoimidazole-succinocarboxamide synthase enzyme kinetics requires rigorous approaches that account for the complex nature of enzymatic reactions. As outlined in "Design and Analysis of Experiments with R," appropriate statistical methods depend on the experimental design and specific parameters being measured . For basic Michaelis-Menten kinetics, non-linear regression is the preferred method for estimating Km and Vmax values, as it directly fits data to the hyperbolic Michaelis-Menten equation without transformation biases.
When comparing kinetic parameters across different experimental conditions (e.g., pH values, temperatures, or inhibitor concentrations), analysis of variance (ANOVA) or mixed-effects models are appropriate. These methods can identify significant differences while accounting for both fixed and random effects in the experimental setup. For more complex kinetic mechanisms, such as substrate inhibition or allosteric regulation, specialized non-linear models should be employed that incorporate additional parameters to describe these phenomena.
| Statistical Method | Application | Advantages | Considerations |
|---|---|---|---|
| Non-linear Regression | Direct fitting of Michaelis-Menten equation | No transformation bias, direct parameter estimation | Requires sufficient data points, particularly near Km |
| Lineweaver-Burk Analysis | Linear transformation for visual interpretation | Simple visualization, identifies inhibition types | Subject to distortion, especially at extreme substrate concentrations |
| ANOVA | Comparing kinetic parameters across conditions | Accounts for multiple factors, interaction effects | Requires normally distributed data and homogeneous variance |
| Mixed-Effects Models | Multi-level experimental designs | Handles nested data structures, accounts for random effects | Computationally intensive, requires specialized software |
| Bootstrap Resampling | Estimating parameter uncertainty | Distribution-free, robust to outliers | Computationally intensive, may require large sample sizes |
When reporting results, researchers should include both point estimates and confidence intervals for all kinetic parameters. Graphical representation of data should include original data points alongside fitted curves, and residual plots should be examined to assess model adequacy. For publication, transparency in statistical methods is essential, including software packages used, parameter estimation procedures, and any data transformations applied.
Integrating metabolomics data with functional studies of Phosphoribosylaminoimidazole-succinocarboxamide synthase provides a comprehensive understanding of the enzyme's role within S. aureus metabolic networks. Similar to approaches used in studying small RNA effects on S. aureus biology, metabolomics analysis can reveal how purC activity influences global metabolite profiles and metabolic flux distributions . This integration requires systematic experimental design and sophisticated data analysis methods to establish causal relationships between purC activity and observed metabolic changes.
Stable isotope labeling experiments using 13C, 15N, or other tracers can track the incorporation of labeled atoms through metabolic pathways, providing dynamic information about metabolic flux rather than static metabolite concentrations. These experiments are particularly valuable for understanding how purC activity affects the distribution of metabolic resources during different growth conditions or stress responses.
Data integration requires multivariate statistical methods such as principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), or metabolic flux analysis (MFA) to identify patterns and correlations across complex datasets. Network analysis tools can visualize how purC-mediated changes propagate through metabolic pathways, identifying potential feedback loops and regulatory interactions that contribute to S. aureus adaptation and survival.
Recent technological advances are transforming research approaches to Staphylococcus aureus Phosphoribosylaminoimidazole-succinocarboxamide synthase, enabling more precise manipulation and analysis of this crucial metabolic enzyme. CRISPR-Cas9 genome editing technologies now allow for site-specific modifications of the purC gene with unprecedented precision, facilitating detailed structure-function studies and the creation of conditional expression systems. These genetic tools enable researchers to generate targeted mutations that preserve bacterial viability while altering specific aspects of purC function.
Advanced protein structure determination methods, including cryo-electron microscopy and X-ray free-electron laser crystallography, are providing higher-resolution structural data on purC's active site and conformational dynamics. These structural insights guide rational design of inhibitors that could serve as novel antimicrobials targeting purine biosynthesis. Computational approaches, including molecular dynamics simulations and quantum mechanics/molecular mechanics (QM/MM) calculations, complement experimental studies by predicting enzyme-substrate interactions and reaction mechanisms.
Single-cell technologies are revolutionizing our understanding of heterogeneity in purC expression and activity within bacterial populations. Techniques such as single-cell RNA sequencing and time-lapse microscopy with fluorescent reporters allow researchers to track purC expression dynamics in individual cells during infection or antibiotic exposure. This cellular resolution reveals previously undetectable subpopulations with distinct purC activity profiles that may contribute to bacterial persistence and treatment resistance.
Microfluidic systems combined with high-throughput screening approaches enable rapid testing of potential purC inhibitors against multiple S. aureus strains simultaneously. These platforms accelerate the discovery and optimization of compounds that selectively target bacterial purine biosynthesis while minimizing effects on host metabolic pathways.
Elucidating the structure, function, and regulation of Phosphoribosylaminoimidazole-succinocarboxamide synthase provides multiple avenues for novel antimicrobial development against Staphylococcus aureus infections. The essential role of purC in purine biosynthesis makes it an attractive target for selective inhibition strategies that could disrupt bacterial metabolism while minimizing effects on human cells, which can salvage purines and thus bypass the need for de novo synthesis.
Structure-based drug design approaches, informed by high-resolution structural data on S. aureus purC, can identify small molecules that specifically bind to the enzyme's active site or allosteric regions. Virtual screening methods prioritize promising candidates from large compound libraries for experimental validation, accelerating the early stages of drug discovery. Fragment-based approaches identify small chemical building blocks with weak binding affinity that can be elaborated into more potent and selective inhibitors through medicinal chemistry optimization.
Beyond direct enzyme inhibition, understanding purC regulation opens possibilities for antimicrobial strategies that target regulatory elements controlling purine metabolism. Similar to insights gained from studies on regulatory RNAs like SprC in S. aureus , researchers can identify small RNAs or transcription factors that modulate purC expression. Synthetic biology approaches might engineer competing regulatory elements that downregulate purC expression below levels required for bacterial survival.
Additionally, knowledge of purC's role in bacterial metabolism could inform combination therapy strategies that enhance the efficacy of existing antibiotics. For instance, targeting purine biosynthesis may render S. aureus more susceptible to antibiotics that disrupt DNA replication or repair, creating synergistic effects that reduce the emergence of resistance. This metabolic sensitization approach represents a promising strategy for revitalizing existing antibiotics against resistant S. aureus strains.