Recombinant Delftia acidovorans Phosphoserine aminotransferase (serC)

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Product Specs

Form
Lyophilized powder. We will ship the available format, but if you have specific format requirements, please note them when ordering.
Lead Time
Delivery times vary by purchase method and location. Contact your local distributor for specific delivery times. All proteins are shipped with blue ice packs by default. Contact us in advance for dry ice shipping (extra fees apply).
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer components, storage temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing. If you have a specific tag type requirement, please inform us, and we will prioritize its development.
Synonyms
serC; Daci_4720; Phosphoserine aminotransferase; EC 2.6.1.52; Phosphohydroxythreonine aminotransferase; PSAT
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-369
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Delftia acidovorans (strain DSM 14801 / SPH-1)
Target Names
serC
Target Protein Sequence
MNRPYNFSAG PAAIPAEVLQ QAAAEMLDWH GSGMSVMEMS HRGKEFISIY EQAEADLREL LAVPPEFKIL FMQGGGLAEN AIVPLNLSRA GTVDFVLSGS WSQKSAKEAR KYVADAHIAA SGEDGKFTAL PAPESWQLSR GASYVHICSN ETIHGVEFQE LPDLKALGCD APLVVDFSSH VASRPVDWSR VGLAFGGAQK NLGPAGLTLV IVREDLLGHA LPACPSAFDY KTVADNQSMY NTPPTWGIYI AGLTFQWIKR QTEGGLTGVA ALEARNIAKA DLFYQYVDQS SFYVNKVAAN CRSRMNIPFF LRDESRNDAF LAGARERGLL QLKGHKSVGG MRASIYNAMP IAGVQALVEY MREFEQRNA
Uniprot No.

Target Background

Function
Catalyzes the reversible conversion of 3-phosphohydroxypyruvate to phosphoserine and 3-hydroxy-2-oxo-4-phosphonooxybutanoate to phosphohydroxythreonine.
Database Links
Protein Families
Class-V pyridoxal-phosphate-dependent aminotransferase family, SerC subfamily
Subcellular Location
Cytoplasm.

Q&A

What is Phosphoserine aminotransferase (SerC) from Delftia acidovorans?

Phosphoserine aminotransferase (SerC) from Delftia acidovorans is a multifunctional enzyme (EC 2.6.1.52) that catalyzes essential aminotransferase reactions in cellular metabolism. The enzyme is also known as Phosphohydroxythreonine aminotransferase (PSAT) and plays critical roles in both serine biosynthesis and vitamin B6 (pyridoxine) metabolic pathways . The full-length protein consists of 369 amino acids with a defined sequence that includes several conserved domains necessary for its catalytic function . SerC requires pyridoxal 5'-phosphate (PLP) as a cofactor to carry out aminotransferase reactions, creating an interesting metabolic feedback loop since it both requires and contributes to vitamin B6 metabolism . The enzyme's structure has been studied based on crystal structure 1BJO from the PDB database, which has facilitated detailed understanding of its catalytic mechanisms and substrate interactions .

How does SerC participate in both serine biosynthesis and vitamin B6 pathways?

SerC functions as a redundant and promiscuous enzyme that participates simultaneously in two critical metabolic pathways. In the serine biosynthesis pathway, SerC catalyzes the conversion of 3-phosphooxypyruvate to L-phosphoserine using glutamate as an amino donor, representing a key step in the synthesis of the amino acid serine . Concurrently, in the vitamin B6 biosynthesis pathway, the enzyme catalyzes a similar transamination reaction involving (R)-3-hydroxy-2-oxo-4-phosphooxybutanoate as a substrate, contributing to the formation of pyridoxal 5'-phosphate (PLP) . This dual functionality creates a complex metabolic relationship where SerC requires PLP as a cofactor for its enzymatic activity while simultaneously contributing to PLP production . The catalytic mechanism involves imine formation between an amino group from glutamate and the substrate, followed by transfer of this imine to the substrate through interaction with the substrate's carbonyl group . This dual functionality presents both challenges and opportunities for metabolic engineering, as changes in SerC activity can simultaneously affect multiple metabolic pathways.

What are the key structural domains of SerC that influence its catalytic function?

The catalytic function of SerC depends on several critical structural domains and residues that have been identified through protein sequence analysis and molecular dynamics simulations. The enzyme contains specific binding pockets for both its substrate and the essential PLP cofactor, with their spatial arrangement being crucial for the transamination reactions . Based on molecular dynamics simulations of the complex structures, researchers have identified specific residues that influence binding energy and the binding mode of both substrates and cofactors . The precise structure-function relationship has been further elucidated through approaches that decompose binding free energy, allowing for the identification of residues that might be targets for rational engineering . The SerC enzyme's catalytic mechanism requires the formation of an imine between an amino group and glutamate, followed by transfer to the substrate by forming another imine with the carbonyl group of the substrate . This complex interplay between protein structure and catalytic function provides multiple targets for protein engineering approaches that seek to modify substrate specificity or reaction efficiency.

What are the recommended expression systems for recombinant SerC production?

Multiple expression systems have been successfully employed for the recombinant production of Delftia acidovorans SerC, each offering distinct advantages depending on research requirements. Escherichia coli is the most commonly used expression host for SerC, offering high yields and relatively straightforward protocols for protein production . The expression system described in the literature typically uses E. coli with appropriate expression vectors containing the serC gene, optimized for codon usage to enhance protein production . Alternative expression systems including yeast, mammalian cells, and insect cells are also viable options, particularly when specific post-translational modifications or solubility enhancements are required . The choice of expression system should be guided by the intended application of the recombinant SerC, with E. coli being preferred for basic structural and functional studies while eukaryotic systems might be more appropriate when studying protein-protein interactions or when using the protein in more complex biochemical assays . Regardless of the chosen system, codon optimization is frequently recommended to improve expression efficiency, especially when expressing bacterial proteins in eukaryotic hosts .

How should researchers optimize purification protocols for recombinant SerC?

Purification of recombinant SerC requires a carefully optimized protocol to ensure high yield and purity while maintaining enzyme activity. The purification strategy typically begins with an affinity chromatography step, leveraging fusion tags such as His-tag, FLAG-tag, MBP, or GST that might have been incorporated into the recombinant construct . For His-tagged SerC, immobilized metal affinity chromatography (IMAC) using nickel or cobalt resins provides efficient initial purification, while GST-tagged constructs can be purified using glutathione affinity resins . Following the initial affinity purification, researchers should consider implementing size exclusion chromatography to remove aggregates and further enhance purity . For applications requiring tag removal, appropriate proteases (such as TEV protease for His-tags or thrombin for GST-tags) can be employed, followed by a reverse affinity step to separate the cleaved tag from the purified protein . Throughout the purification process, it is essential to maintain buffer conditions that preserve SerC stability, typically including appropriate pH (usually 7.0-8.0), salt concentration (150-300 mM NaCl), and potentially glycerol (5-10%) to prevent aggregation . Activity assays should be performed at various stages of purification to ensure that the enzyme remains functional, particularly after tag removal steps that might affect protein conformation.

What is the recommended storage protocol for maintaining SerC activity?

Preserving the enzymatic activity of purified recombinant SerC requires careful attention to storage conditions. According to product specifications, the recommended storage condition for SerC is at -20°C, with extended storage preferably at -20°C or -80°C to minimize degradation and activity loss . Prior to storage, the enzyme should be aliquoted at appropriate working concentrations to avoid repeated freeze-thaw cycles, which can significantly impact protein stability and activity . For reconstitution of lyophilized SerC, it is recommended to use deionized sterile water to achieve a concentration of 0.1-1.0 mg/mL, with the addition of 5-50% glycerol (final concentration) for samples intended for long-term storage . The default final concentration of glycerol is typically 50%, which provides optimal cryoprotection while maintaining protein solubility . It's important to note that the shelf life of SerC varies depending on storage state and conditions: liquid forms typically maintain stability for approximately 6 months at -20°C/-80°C, while lyophilized forms can remain stable for up to 12 months under the same conditions . For working with the enzyme, creating small aliquots that can be stored at 4°C for up to one week is recommended to minimize degradation associated with repeated freezing and thawing .

How can SerC be engineered to optimize metabolic flux between serine and vitamin B6 pathways?

Engineering SerC to optimize metabolic flux distribution between the serine biosynthesis and vitamin B6 pathways represents a sophisticated approach to addressing the challenges posed by multifunctional enzymes. Researchers have successfully employed a combination of sequence analysis, molecular dynamics simulations, and catalytic activity predictions to identify key residues that influence substrate specificity and catalytic efficiency . One effective approach involves semi-rational design based on multiple sequence alignment and mining to identify mutations that can enhance performance for specific metabolic outcomes, such as improved pyridoxine (PN) production . After identifying candidate mutations through computational approaches, experimental validation using enzyme assays with different substrates can confirm the altered substrate preferences and reaction rates . Beyond point mutations, researchers have also explored regulating SerC expression levels through induced expression systems, modifications of CDS sequences, and increasing gene copy numbers to better align with pathway modules . Analysis of amino acid profiles in engineered strains has revealed that carefully designed SerC variants can successfully redirect metabolic flux preferentially toward the vitamin B6 synthesis pathway rather than the serine pathway, demonstrating the feasibility of engineering this enzyme to achieve specific metabolic objectives .

How can SerC be integrated into synthetic biology applications for biosynthesis of valuable compounds?

Integration of SerC into synthetic biology applications represents a promising frontier for biosynthesis of valuable compounds, particularly in pathways involving amino acids and vitamin derivatives. One significant application involves engineering D. acidovorans to produce polyhydroxyalkanoates (PHAs) with high molar fractions of 4-hydroxybutyrate (4HB) from inexpensive agricultural fatty by-products . While wild-type D. acidovorans DSM39 is naturally capable of producing PHAs with high 4HB content, it cannot directly utilize fatty substrates . By combining SerC engineering with the expression of lipC and lipH genes from Pseudomonas stutzeri BT3, researchers have created recombinant strains capable of converting slaughterhouse residues such as udder and lard into valuable PHAs (achieving 43% and 39% of cell dry weight, respectively, with almost 7% 4HB content) . Beyond PHAs, engineered SerC variants with altered substrate specificities can be incorporated into synthetic pathways for the production of non-natural amino acids, vitamin derivatives, or pharmaceutical precursors . The dual functionality of SerC in both serine biosynthesis and vitamin B6 metabolism makes it particularly valuable for engineering metabolic nodes that can direct carbon flux toward desired products . When designing such applications, researchers must carefully balance SerC activity with other pathway enzymes to avoid metabolic bottlenecks and ensure efficient production of target compounds.

How can researchers address solubility issues when expressing recombinant SerC?

Solubility challenges are common when expressing recombinant SerC, but several strategies can mitigate these issues. First, optimization of expression conditions represents a fundamental approach, including testing different temperatures (typically lowering to 16-25°C from the standard 37°C), inducer concentrations, and induction times to find conditions that favor proper protein folding over rapid expression . Fusion tags can significantly enhance SerC solubility, with MBP (maltose-binding protein), GST (glutathione S-transferase), and SUMO tags being particularly effective options beyond the standard His-tag . When designing expression constructs, codon optimization for the host organism is crucial, as it can eliminate rare codons that might cause translational pauses leading to misfolding and aggregation . For persistent solubility issues, changing the expression host might be necessary, with options including specialized E. coli strains (such as Rosetta-GAMI for disulfide bond formation) or eukaryotic systems (yeast, insect cells, or mammalian cells) that provide different folding environments . Post-extraction techniques such as protein renaturation protocols can also rescue insoluble SerC from inclusion bodies, though these approaches typically yield protein with reduced specific activity compared to natively folded protein . Implementing these strategies systematically, often in combination, can significantly improve the solubility and yield of functional recombinant SerC.

What are common pitfalls in measuring SerC enzymatic activity and how can they be avoided?

Accurate measurement of SerC enzymatic activity presents several challenges that researchers must navigate carefully. One major pitfall is the dual functionality of SerC in different metabolic pathways, which can complicate activity assays if not properly controlled . To address this, researchers should design assays with high specificity for the particular reaction being studied, using purified substrates and carefully controlled reaction conditions . Another common issue is the dependence of SerC on the PLP cofactor, which must be present in sufficient quantities for accurate activity measurements; pre-incubation of the enzyme with PLP before activity assays can ensure cofactor saturation . Temperature and pH sensitivity also present challenges, as SerC activity can vary significantly with these parameters; establishing and strictly maintaining optimal conditions (typically pH 7.0-8.0 and temperatures around 25-37°C) throughout the assay is essential . Interfering compounds present in crude extracts can affect activity measurements, making it important to include appropriate controls or to purify the enzyme sufficiently before activity determination . Finally, product inhibition can lead to non-linear kinetics and underestimation of enzymatic activity; using appropriate enzyme dilutions and measuring initial reaction rates can minimize this effect . By anticipating and controlling for these potential pitfalls, researchers can obtain more reliable and reproducible measurements of SerC activity.

How should researchers address issues with SerC stability during purification and storage?

Maintaining SerC stability during purification and storage requires attention to several critical factors. During purification, buffer composition plays a crucial role: including protease inhibitors prevents degradation by endogenous proteases, while maintaining appropriate pH (typically 7.0-8.0) and ionic strength (150-300 mM NaCl) helps preserve the native conformation . Adding stabilizing agents such as glycerol (5-20%) or reducing agents like DTT or β-mercaptoethanol (1-5 mM) can further enhance stability by preventing aggregation and oxidation of cysteine residues . Temperature management is equally important, with all purification steps ideally conducted at 4°C to minimize thermal denaturation and proteolytic degradation . For storage, aliquoting purified SerC into single-use volumes before freezing prevents damage from repeated freeze-thaw cycles . The recommended storage conditions include keeping the enzyme at -20°C for routine use, with -80°C preferred for long-term storage; addition of 50% glycerol as a cryoprotectant is standard practice for preserving activity during freezing . When reconstituting lyophilized SerC, using deionized sterile water to achieve concentrations between 0.1-1.0 mg/mL provides optimal stability . For working stocks, aliquots can be maintained at 4°C for up to one week, though protein concentration and buffer composition may affect this timeframe . By implementing these practices, researchers can significantly extend the functional lifetime of purified SerC preparations.

What emerging applications exist for engineered SerC variants in biotechnology?

Engineered SerC variants present numerous emerging applications in biotechnology, building upon current understanding of the enzyme's dual functionality. One promising direction involves creating SerC variants with enhanced specificity for vitamin B6 biosynthesis to develop strains capable of overproducing this essential vitamin for nutritional and pharmaceutical applications . Another emerging application builds on the ability of recombinant D. acidovorans strains to produce polyhydroxyalkanoates (PHAs) from waste materials; combining SerC engineering with other metabolic modifications could yield bioplastic production platforms with enhanced efficiency and novel material properties . The established role of D. acidovorans in xenobiotic degradation pathways suggests potential applications for engineered SerC variants in environmental bioremediation, particularly for compounds containing phosphoester bonds similar to those found in pesticides and chemical warfare agents . In the pharmaceutical sector, SerC variants with altered substrate specificities could enable new biosynthetic routes to non-canonical amino acids and their derivatives, which serve as valuable building blocks for peptide-based therapeutics . Additionally, the knowledge gained from engineering SerC to balance flux between different metabolic pathways provides a valuable model for addressing similar challenges with other multifunctional enzymes, potentially opening new avenues for metabolic engineering of various industrially relevant microorganisms .

How might advances in computational biology enhance our understanding and engineering of SerC?

Advances in computational biology offer transformative potential for understanding and engineering SerC at unprecedented levels of detail and precision. The application of AlphaFold2 and similar AI-driven protein structure prediction tools enables accurate modeling of SerC variants from diverse sources without the need for crystallographic data, greatly accelerating the initial phases of engineering projects . Enhanced molecular dynamics simulations with specialized force fields can provide detailed insights into SerC's catalytic mechanism, revealing transient states and conformational changes that might be inaccessible to experimental techniques . Machine learning approaches trained on enzyme kinetics data can predict the effects of specific mutations on catalytic parameters (kcat, KM) and substrate specificity, potentially identifying non-obvious mutations that significantly enhance desired activities . Genome-scale metabolic models incorporating detailed kinetic parameters for SerC reactions can predict how modifications to this enzyme will affect flux distributions throughout the metabolic network, guiding engineering efforts to achieve specific production goals . Advanced computational approaches for designing synthetic pathways can identify novel roles for engineered SerC variants in the production of valuable compounds, expanding the enzyme's biotechnological applications . The integration of these computational methods with high-throughput experimental validation creates powerful iterative cycles of design, testing, and refinement that can rapidly advance our ability to engineer SerC for specific applications.

What are the prospects for integrating SerC engineering with broader synthetic biology frameworks?

Integration of SerC engineering with broader synthetic biology frameworks presents exciting prospects for creating highly optimized biological systems. One promising approach involves modular pathway design, where engineered SerC variants with specific catalytic properties are incorporated as interchangeable parts within standardized metabolic modules, facilitating rapid assembly of novel biosynthetic pathways . The application of dynamic regulatory systems that can adjust SerC expression levels in response to metabolic needs could help resolve the inherent tension between its dual functions in serine biosynthesis and vitamin B6 metabolism, enabling more sophisticated control of metabolic flux . CRISPR-based genome editing techniques offer precise tools for integrating optimized serC genes into diverse host organisms, expanding the range of production platforms beyond traditional model organisms to include species with advantageous native characteristics such as D. acidovorans' ability to utilize unusual carbon sources . Cell-free systems incorporating engineered SerC variants could enable novel biosynthetic applications while circumventing challenges associated with cellular metabolism and growth requirements . The development of synthetic consortia, where different organisms expressing specialized SerC variants perform complementary metabolic functions, could achieve complex transformations beyond the capabilities of single organisms, particularly in applications like waste valorization for PHA production . These integrative approaches leverage the unique properties of SerC while embedding it within sophisticated biological frameworks to address complex challenges in biomanufacturing, environmental remediation, and sustainable chemistry.

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