Recombinant Salmonella newport Potassium-transporting ATPase C chain (kdpC)

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Product Specs

Form
Lyophilized powder
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Lead Time
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to consolidate contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, which can serve as a reference.
Shelf Life
Shelf life depends on several factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. If you require a specific tag, please inform us for preferential development.
Synonyms
kdpC; SNSL254_A0765; Potassium-transporting ATPase KdpC subunit; ATP phosphohydrolase [potassium-transporting] C chain; Potassium-binding and translocating subunit C; Potassium-translocating ATPase C chain
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-194
Protein Length
full length protein
Species
Salmonella newport (strain SL254)
Target Names
kdpC
Target Protein Sequence
MIGLRPAFSTMLFLLLLTGGVYPLLTTALGQWWFPWQANGSLIHKDNVIRGSALIGQSFT AAGYFHGRPSATADTPYNPLASGGSNLAASNPELDAQIQARVAALRAANPQASSAVPVEL ATASASGLDNNLTPGAAAWQIPRVAAARQLPVEQVAQLVAEYTHRPLARFLGQPVVNIVE LNLALDALQGHRAK
Uniprot No.

Target Background

Function

The Recombinant Salmonella newport Potassium-transporting ATPase C chain (KdpC) is a component of the high-affinity ATP-driven potassium transport (Kdp) system. It catalyzes ATP hydrolysis, coupled with the electrogenic transport of potassium ions into the cytoplasm. KdpC functions as a catalytic chaperone, enhancing the ATP-binding affinity of the ATP-hydrolyzing subunit KdpB through the formation of a transient KdpB/KdpC/ATP ternary complex.

Database Links
Protein Families
KdpC family
Subcellular Location
Cell inner membrane; Single-pass membrane protein.

Q&A

What is the KdpC subunit and how does it function within the Salmonella Newport potassium transport system?

The KdpC subunit is a critical component of the Kdp-ATPase complex in Salmonella Newport, functioning as part of a high-affinity potassium uptake system. This multisubunit complex consists of four components: KdpA (the channel-forming subunit), KdpB (the catalytic subunit with ATPase activity), KdpC (a regulatory subunit), and KdpF (a small accessory subunit). The KdpC chain specifically plays a regulatory role in the complex by stabilizing the interaction between KdpA and KdpB while also influencing the ATP hydrolysis activity of KdpB .

The Kdp system becomes especially important for bacterial survival under potassium-limited conditions, allowing Salmonella Newport to scavenge this essential ion even when environmental concentrations are extremely low. As an ATP-driven transport system, it permits the bacterium to maintain potassium homeostasis independent of the membrane potential, which is particularly crucial during infection and stress conditions.

What expression systems are most effective for producing recombinant Salmonella Newport KdpC protein?

For recombinant Salmonella Newport KdpC protein expression, E. coli-based expression systems have demonstrated the highest efficiency and reliability. Similar to the approach used for KdpB protein production, the gene encoding KdpC can be cloned into expression vectors containing a His-tag, allowing for simplified purification using affinity chromatography . The following methodological considerations are particularly important:

  • Expression vector selection: pET series vectors with T7 promoters provide strong induction and high protein yields

  • Host strain optimization: BL21(DE3) or Rosetta strains are recommended to address codon bias issues

  • Induction conditions: IPTG induction at 18-25°C rather than 37°C often improves solubility

  • Buffer composition: Inclusion of potassium ions in purification buffers helps maintain protein stability

For researchers encountering difficulty with protein solubility, fusion tags beyond the His-tag (such as MBP or SUMO) have shown significant improvements in soluble protein yield. Expression as inclusion bodies followed by refolding procedures represents an alternative approach when active protein cannot be obtained through conventional methods.

How does the amino acid sequence of KdpC compare across different Salmonella Newport lineages?

The amino acid sequence of KdpC shows varying degrees of conservation across the three main Salmonella Newport lineages. Based on comparative genomic analyses of Salmonella Newport strains:

LineageKdpC Sequence ConservationKey MutationsGeographical Distribution
Lineage IHighest conservation (98-99%)Few polymorphismsPredominantly European strains
Lineage IIModerate conservation (95-97%)Several substitutions in regulatory domainsNorth American strains
Lineage IIILowest conservation (93-95%)Multiple variable regionsNorth American strains

This sequence variation reflects the clear geographic structure observed in Salmonella Newport evolution, with Asian strains being particularly divergent from those found in the Americas . Whole genome sequencing has revealed that these differences extend beyond just the KdpC protein, with Lineages II and III showing evidence of having diverged early in serotype evolution and evolved largely independently .

What experimental approaches can reveal the interaction between KdpC and other components of the Kdp complex in Salmonella Newport?

To investigate the protein-protein interactions between KdpC and other Kdp complex components in Salmonella Newport, researchers should consider implementing multiple complementary experimental approaches:

  • Co-immunoprecipitation (Co-IP) studies using antibodies against His-tagged KdpC to pull down interacting partners

  • Yeast two-hybrid assays to map specific interaction domains between KdpC and KdpB/KdpA

  • Surface plasmon resonance (SPR) for quantitative measurement of binding kinetics

  • Crosslinking mass spectrometry (XL-MS) to identify specific residues involved in protein-protein contacts

  • Cryo-electron microscopy of the reconstituted complex to visualize the structural arrangement

For in-depth interaction mapping, site-directed mutagenesis targeting conserved residues in KdpC combined with functional assays provides crucial insights. The experimental design should incorporate appropriate controls and replication to ensure statistical validity . When comparing interaction profiles across different S. Newport lineages, it's essential to account for sequence variations that may influence binding affinities and complex stability.

How do environmental conditions affect the expression and function of recombinant Salmonella Newport KdpC?

Environmental conditions significantly impact both expression and functionality of recombinant Salmonella Newport KdpC protein. Laboratory studies should systematically evaluate these factors using a properly randomized experimental design with adequate replication :

Environmental FactorImpact on KdpC ExpressionImpact on KdpC FunctionExperimental Methodology
Potassium limitationUpregulation (5-10 fold)Enhanced ATPase activityqPCR, Western blot, ATPase assays
Osmotic stressModerate increase (2-3 fold)Altered interaction with KdpBProtein expression analysis, Co-IP studies
pH variationExpression optimal at pH 6.5-7.5Functional range pH 5.5-8.0pH-controlled expression, activity assays
Temperature stressExpression decreases >37°CStability compromised >42°CThermal shift assays, circular dichroism

When designing experiments to investigate these effects, researchers should implement a factorial design that allows for the assessment of interaction effects between multiple environmental variables. Including gradient conditions rather than just extreme points provides more comprehensive understanding of KdpC's response to environmental changes.

What are the structural differences between KdpC proteins from virulent versus attenuated Salmonella Newport strains?

Structural analysis of KdpC proteins from virulent versus attenuated Salmonella Newport strains reveals several key differences that may correlate with pathogenicity:

  • N-terminal domain variations: Virulent strains typically show a more structured N-terminal domain with additional stabilizing interactions

  • Surface charge distribution: Differences in surface electrostatics affect interaction with other Kdp complex components

  • Metal-binding capacity: Virulent strains often possess additional or modified metal coordination sites

  • Post-translational modification sites: Phosphorylation and glycosylation patterns differ between strain types

These structural differences appear to modify the regulatory influence of KdpC on the catalytic activity of KdpB. Using advanced structural biology techniques (X-ray crystallography, cryo-EM, NMR) combined with molecular dynamics simulations provides insights into how these differences translate to functional variations. It's worth noting that these structural distinctions align with the phylogenetic separation observed between S. Newport lineages, particularly between Lineages II and III which have evolved largely independently in North America .

What is the optimal experimental design for studying potassium transport kinetics in systems expressing recombinant Salmonella Newport KdpC?

Methodology considerations should include:

  • System selection:

    • Purified protein in proteoliposomes (highest control, direct measurement)

    • Complemented bacterial knockout strains (physiological context)

    • Heterologous expression in model cells (intermediate approach)

  • Measurement techniques:

    • Radioisotope (⁴²K⁺) flux measurements for direct transport quantification

    • Membrane potential-sensitive fluorescent dyes for indirect assessment

    • ATPase activity assays (coupled enzyme approach) for energetics evaluation

  • Experimental parameters to control:

    • Potassium concentration gradient (typically 0.1-100 mM range)

    • pH (optimally 6.5-7.5)

    • Temperature (25-37°C)

    • ATP/ADP ratio

    • Membrane composition

To minimize experimental error, incorporate at least 3-5 technical replicates per condition and 3 biological replicates (independent protein preparations) . The kinetic parameters (Km, Vmax) should be determined using non-linear regression rather than linear transformations of the Michaelis-Menten equation for greater accuracy.

How should researchers design mutation studies to identify critical functional residues in Salmonella Newport KdpC?

When designing mutation studies to identify critical functional residues in Salmonella Newport KdpC, researchers should follow a systematic approach that combines computational prediction with experimental validation:

  • Initial residue selection strategy:

    • Conservation analysis across bacterial species

    • Structural prediction of surface-exposed residues

    • Molecular docking to identify potential interaction interfaces

    • Prediction of post-translational modification sites

  • Mutation design principles:

    • Conservative versus non-conservative substitutions

    • Alanine scanning of identified regions

    • Charge reversal mutations for electrostatic interactions

    • Cysteine substitutions for crosslinking studies

  • Experimental design:

    • Latin Square Design (LSD) for testing multiple mutations across different assay conditions

    • Functional complementation assays in KdpC-deficient strains

    • In vitro reconstitution with purified components

    • Protein-protein interaction studies with other Kdp complex members

The experimental design should allow for the detection of both complete loss-of-function and subtle functional alterations. For statistical validity, incorporate appropriate controls (wild-type, known non-functional mutant, and vector-only) and ensure sufficient replication (minimum n=3 for each experimental condition) .

What methodological approaches can overcome challenges in obtaining high-purity recombinant Salmonella Newport KdpC protein?

Obtaining high-purity recombinant Salmonella Newport KdpC protein presents several challenges that can be addressed through optimized methodological approaches:

ChallengeMethodological SolutionExpected Outcome
Protein insolubilityFusion with solubility enhancers (MBP, SUMO, TrxA)Increased soluble fraction by 40-60%
Inclusion body formationOn-column refolding during purificationFunctional recovery of 30-50%
Co-purifying contaminantsTandem affinity purification (His-tag + secondary tag)>95% purity after two-step purification
Proteolytic degradationAddition of protease inhibitors + reduced purification timeMinimal degradation (<10%)
Protein aggregationAddition of stabilizing agents (glycerol, specific ions)Monodisperse protein preparation

Implementation requires careful experimental design with appropriate controls. When optimizing purification conditions, a factorial design examining multiple variables simultaneously (pH, salt concentration, additives) is more efficient than one-factor-at-a-time approaches .

For structural and functional studies, size-exclusion chromatography as a final purification step ensures monodispersity. Quality control should include SDS-PAGE, Western blotting, mass spectrometry, and dynamic light scattering to verify purity, identity, and homogeneity of the final preparation.

How can researchers distinguish evolutionary conservation from functional convergence when analyzing KdpC sequences across Salmonella Newport lineages?

Distinguishing evolutionary conservation from functional convergence in KdpC sequences across Salmonella Newport lineages requires sophisticated phylogenetic and comparative genomic approaches:

  • Phylogenetic signal analysis:

    • Calculate consistency index (CI) and retention index (RI) for KdpC phylogeny

    • Compare KdpC phylogeny with whole-genome SNP phylogeny

    • Identify incongruencies suggesting horizontal gene transfer or convergence

  • Selection pressure analysis:

    • Calculate dN/dS ratios across different protein domains

    • Identify sites under positive, negative, or relaxed selection

    • Compare selection patterns between lineages

  • Ancestral sequence reconstruction:

    • Infer ancestral KdpC sequences at key phylogenetic nodes

    • Trace evolutionary trajectory of specific amino acid changes

    • Identify parallel mutations arising independently

The analysis should particularly focus on regions around the mutS gene, as studies of S. Newport have shown genetic flow and homologous recombination events in this region . When comparing KdpC sequences between S. Newport Lineages II and III, which have evolved largely independently , any shared derived characteristics are strong candidates for functional convergence rather than shared ancestry.

For robust analysis, incorporate KdpC sequences from diverse bacterial species as outgroups, and employ multiple phylogenetic methods (Maximum Likelihood, Bayesian inference) to ensure consistency of results.

What statistical approaches are most appropriate for analyzing functional differences between wild-type and mutant KdpC proteins?

  • For continuous outcome variables (e.g., transport rates, binding affinities):

    • ANOVA followed by appropriate post-hoc tests for multiple comparisons

    • Mixed-effects models when incorporating multiple variables or repeated measures

    • Non-parametric alternatives (Kruskal-Wallis, Mann-Whitney) when normality assumptions are violated

  • For categorical outcomes (e.g., growth/no growth in complementation assays):

    • Chi-square or Fisher's exact tests

    • Logistic regression for multiple predictors

  • For dose-response relationships:

    • Non-linear regression with appropriate model selection (e.g., Hill equation)

    • Comparison of EC50/IC50 values with confidence intervals

The experimental design must incorporate sufficient replication (minimum n=3, preferably n≥5) to achieve adequate statistical power . When comparing multiple mutants to wild-type, corrections for multiple testing (e.g., Bonferroni, Benjamini-Hochberg) should be applied to control false discovery rates.

Data visualization using appropriate graphs (not just tables of p-values) is essential for proper interpretation. Effect sizes and confidence intervals provide more informative results than p-values alone.

How should researchers address contradictory results between in vitro and in vivo studies of Salmonella Newport KdpC function?

Addressing contradictory results between in vitro and in vivo studies of Salmonella Newport KdpC function requires systematic investigation of potential explanations and reconciliation strategies:

  • Systematic analysis of discrepancies:

    • Create a comprehensive comparison table documenting specific contradictions

    • Evaluate methodological differences that might explain observations

    • Consider scale-dependent effects (molecular vs. cellular vs. organismal)

  • Potential explanations to investigate:

    • Presence of additional regulatory factors in vivo

    • Different conformational states of KdpC in different environments

    • Post-translational modifications present only in vivo

    • Compensatory mechanisms activated in living systems

  • Reconciliation strategies:

    • Develop intermediate experimental systems (e.g., ex vivo, cell-based)

    • Use of conditional mutants or controlled expression systems

    • Incorporation of additional physiological parameters

    • Development of mathematical models integrating multiple data types

When facing contradictory results, experimental design becomes particularly important. A Latin Square Design can be valuable for systematically testing multiple variables that might explain discrepancies . The incorporation of multiple experimental approaches (genetic, biochemical, structural) provides complementary perspectives that help resolve contradictions.

For proper interpretation, researchers should consider the phylogenetic background of the strains used, as the three distinct lineages of S. Newport may exhibit different regulatory mechanisms . This is particularly important given the evidence that S. Newport Lineages II and III have evolved largely independently and may have developed different functional adaptations .

What are the most promising future research directions for Salmonella Newport KdpC studies?

The most promising future research directions for Salmonella Newport KdpC studies include:

  • Structure-function relationship mapping:

    • High-resolution structural determination of the entire Kdp complex

    • Dynamics of KdpC interaction with other subunits during transport cycle

    • Conformational changes associated with potassium binding and transport

  • Lineage-specific functional adaptations:

    • Comparative analysis of KdpC function across all three S. Newport lineages

    • Correlation between sequence variations and virulence/pathogenicity

    • Evolutionary basis for geographic distribution patterns

  • Therapeutic targeting opportunities:

    • Identification of KdpC-specific inhibitors through structure-based design

    • Development of attenuated strains through KdpC modification

    • Immunological targeting of exposed KdpC epitopes

  • Systems biology integration:

    • Role of KdpC in broader potassium homeostasis networks

    • Integration with other virulence and stress response pathways

    • Mathematical modeling of system behavior under various conditions

These directions require rigorous experimental design incorporating randomization, replication, and appropriate controls . The integration of genomic, biochemical, structural, and physiological approaches will provide the most comprehensive understanding of this important bacterial transport protein.

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