Recombinant Chlamydophila caviae 50S ribosomal protein L6 (rplF)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.
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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 collect the 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 various factors including storage conditions, buffer composition, temperature, and the protein's inherent stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquoting is essential for multiple uses. Avoid 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, and we will prioritize its development.
Synonyms
rplF; CCA_00107; 50S ribosomal protein L6
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-183
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Chlamydophila caviae (strain GPIC)
Target Names
rplF
Target Protein Sequence
MSRKARDPIV LPQGVEVSIQ NNEILVKGPK GSLKQVLAPE VVVDIKDREV FVHAAPHVVD RPSRMQGLFW ALISNMVQGV NTGFEKRLEM IGVGFRAAVQ GSVLDLSIGV SHPTKMPIPA ELQVSVEKNT LISVKGINKQ LVGEFAASIR AKRRPEPYKG KGIRYENEYV RRKAGKAAKT GKK
Uniprot No.

Target Background

Function

This protein binds to 23S rRNA and plays a crucial role in its secondary structure. It is localized near the subunit interface at the base of the L7/L12 stalk, and adjacent to the tRNA binding site within the peptidyltransferase center.

Database Links
Protein Families
Universal ribosomal protein uL6 family

Q&A

What is the molecular structure of Chlamydophila caviae ribosomal protein L6?

Chlamydophila caviae ribosomal protein L6 (rplF) is a component of the 50S large ribosomal subunit. Based on homology with related Chlamydial species such as C. trachomatis, it likely contains an open reading frame of approximately 550-560bp encoding a protein of 183-185 amino acids with a molecular weight of approximately 19.8 kDa . The protein contains several conserved domains involved in RNA binding and ribosome assembly, particularly regions that interact with helix 97 of the 23S rRNA . Comparative sequence analysis with E. coli L6 shows functional and antigenic homology, suggesting conservation of key structural elements despite evolutionary divergence .

How conserved is the rplF gene across Chlamydial species?

The rplF gene shows remarkable conservation across Chlamydial species. Studies of related Chlamydia have demonstrated complete gene homology between serovars (e.g., between C. trachomatis serovars L2 and J) . This high conservation reflects the essential nature of ribosomal proteins in cellular function. Sequence alignment of ribosomal protein L6 from various Chlamydial species reveals >90% identity in the coding regions, with the highest conservation in domains involved in rRNA binding and ribosomal assembly. Each Chlamydial genome contains a single copy of the rplF gene, further emphasizing its essential function .

What are the key functional domains of C. caviae L6 protein?

Based on structural analyses of bacterial ribosomal proteins, C. caviae L6 contains several key functional domains:

DomainAmino Acid PositionFunction
N-terminal domain1-54Primarily involved in protein-protein interactions with other ribosomal proteins
Central RNA-binding domain55-130Contains conserved residues that interact with helix 97 of 23S rRNA
C-terminal domain131-183Contributes to ribosome stability and may participate in the peptidyl transferase center formation

Mutations in the central RNA-binding domain, particularly those that contact helix 97 of the 23S rRNA, significantly affect ribosome assembly and function, as demonstrated in suppressor studies of ribosome assembly factor mutations .

What expression systems are most effective for recombinant C. caviae L6 production?

For recombinant expression of C. caviae L6, E. coli-based expression systems have proven most effective, particularly those utilizing a lac promoter. Studies with related Chlamydial L6 proteins have demonstrated that expression is dependent on proper promoter orientation, with no product obtained when the open reading frame is oriented opposite to the promoter . The following expression conditions typically yield optimal results:

ParameterOptimal ConditionNotes
Expression hostE. coli BL21(DE3)Deficient in lon and ompT proteases
VectorpET-based vectorsContaining T7 or lac promoter
Induction0.5-1.0 mM IPTGAt OD₆₀₀ of 0.6-0.8
Temperature30°C post-inductionReduced temperature improves folding
Duration4-6 hoursLonger expressions may lead to inclusion bodies

Codon optimization for E. coli expression is recommended, as Chlamydial species have different codon usage patterns that can limit heterologous expression efficiency.

What purification strategies yield the highest purity for recombinant L6 protein?

A multi-step purification strategy is recommended to obtain high-purity recombinant L6 protein suitable for structural and functional studies:

  • Initial capture: Affinity chromatography using His-tag (Ni-NTA) or GST-tag systems provides effective initial purification. His-tagged constructs typically yield higher purity with C. caviae L6 .

  • Intermediate purification: Ion-exchange chromatography (typically cation exchange at pH 6.5) removes contaminants with different charge properties.

  • Polishing step: Size-exclusion chromatography separates any aggregates and yields homogeneous protein preparations.

For functional studies, ensure that tags are either removed or confirmed not to interfere with protein function through comparative activity assays. Typical yields range from 5-15 mg of purified protein per liter of bacterial culture.

How can I verify the proper folding and functionality of purified recombinant L6?

Several complementary approaches can verify proper folding and functionality of purified recombinant L6:

Verification MethodPurposeExpected Results
Circular Dichroism (CD)Secondary structure analysisTypical pattern with α-helical and β-sheet content similar to native protein
Thermal Shift AssayProtein stability assessmentMelting temperature (Tm) of 55-65°C for properly folded protein
RNA Binding AssayFunctional verificationNanomolar affinity for 23S rRNA fragments containing helix 97
In vitro Ribosome AssemblyFunctional verificationIncorporation into ribosomal subunits and rescue of assembly in depleted systems

Immunoblotting with antibodies specific to L6 can confirm identity and proper folding, especially if antibodies recognize conformational epitopes . For definitive functional verification, in vitro reconstitution assays measuring the protein's ability to incorporate into ribosome assembly intermediates provide the most relevant assessment .

What is the precise role of L6 in ribosome assembly in Chlamydial species?

Ribosomal protein L6 plays a critical role in the assembly of the 50S ribosomal subunit in Chlamydial species. Based on studies in related bacterial systems, L6 is integrated during the intermediate stages of large subunit assembly. Its proper positioning is essential for subsequent incorporation of late-assembly proteins such as L16 .

The assembly process follows this general pathway:

  • Initial binding of L6 to specific domains of the 23S rRNA, particularly helix 97

  • Proper positioning of L6 facilitated by ribosome assembly GTPases like RbgA

  • Stabilization of the rRNA tertiary structure through L6-RNA interactions

  • Creation of binding sites for subsequent ribosomal proteins

Improper L6 positioning results in the accumulation of assembly intermediates, such as the 44S particle observed in RbgA-deficient cells with L6 mutations . These findings suggest that L6 serves as a critical checkpoint in ribosome biogenesis, with its correct placement necessary for progression to mature 50S subunits.

How do mutations in L6 affect ribosome assembly and bacterial growth?

Mutations in L6, particularly those affecting interaction with 23S rRNA helix 97, significantly impact ribosome assembly and bacterial growth. Interestingly, specific L6 mutations can either exacerbate or suppress defects in ribosome assembly factors:

Mutation TypeLocationEffect on Ribosome AssemblyGrowth Phenotype
RNA-binding domain mutationsCentral domain (residues interacting with helix 97)Accumulation of 44S intermediateSlow growth
Suppressor mutationsClustered in helix 97 contact regionPartial restoration of assembly in RbgA mutantsImproved growth in RbgA-deficient background
N-terminal mutationsProtein-protein interaction regionVariable effects on assemblyStrain-dependent growth effects

In vitro maturation assays demonstrate that certain L6 substitutions allow defective ribosome assembly factors (such as RbgA-F6A) to function more effectively in ribosome maturation . This suggests that L6 variants can modulate the stringency of assembly checkpoints, allowing progression despite suboptimal conditions.

How does L6 interact with ribosomal RNA in the assembled ribosome?

Ribosomal protein L6 forms specific interactions with the 23S rRNA in the fully assembled ribosome, with the most critical interaction occurring at helix 97. Based on structural studies in related bacterial systems, the interaction surface involves:

  • The central domain of L6 (approximately residues 55-130) providing the primary contact surface

  • Multiple basic residues (arginine and lysine) forming salt bridges with the RNA phosphate backbone

  • Specific recognition of RNA structural features through hydrogen bonding networks

  • Hydrophobic interactions stabilizing the protein-RNA complex

These interactions serve to both stabilize the ribosomal structure and properly position the rRNA for catalytic function. The interaction between L6 and helix 97 is particularly critical, as mutations in this region affect both ribosome assembly and function .

What methods are most effective for studying L6-RNA interactions?

Several complementary methods provide insights into L6-RNA interactions:

MethodApplicationAdvantagesLimitations
Electrophoretic Mobility Shift Assay (EMSA)Qualitative binding assessmentSimple, rapid assessment of bindingLimited quantitative information
Fluorescence AnisotropyQuantitative binding kineticsReal-time measurement, requires small amounts of materialRequires fluorescent labeling
Surface Plasmon Resonance (SPR)Binding kinetics and thermodynamicsLabel-free detection, real-time measurementsRequires surface immobilization
RNA FootprintingIdentification of RNA contact sitesNucleotide-level resolution of binding sitesLabor-intensive, requires specialized equipment
Cryo-EMStructural characterization of complexesHigh-resolution structural informationRequires specialized equipment, challenging for dynamic interactions

For most comprehensive analysis, a combination of these methods should be employed. For example, EMSA or fluorescence anisotropy can rapidly screen L6 variants for RNA binding defects, followed by detailed characterization of interesting variants using SPR and RNA footprinting .

What role might L6 play beyond ribosome function in Chlamydial species?

Beyond its canonical role in ribosome structure and function, L6 may have "moonlighting" functions in Chlamydial physiology and pathogenesis. Several potential extra-ribosomal roles have been suggested based on studies in related bacterial systems:

  • Stress response regulation: Under stress conditions, ribosomal proteins including L6 may be released from ribosomes and regulate stress-responsive genes.

  • Interaction with host cells: Some ribosomal proteins have been found to interact with host cell components when released during infection, potentially modulating host responses.

  • Regulation of bacterial gene expression: Free L6 might bind specific mRNAs or interact with transcription factors to regulate gene expression outside the ribosome.

  • Structural roles in bacterial cell architecture: Some ribosomal proteins contribute to cellular architecture beyond their ribosomal functions.

While these moonlighting functions remain speculative for C. caviae L6, their investigation represents an exciting frontier in understanding Chlamydial biology beyond protein synthesis.

How does L6 expression change during different phases of the Chlamydial developmental cycle?

Chlamydial species undergo a unique biphasic developmental cycle, transitioning between elementary bodies (EBs) and reticulate bodies (RBs). L6 expression patterns likely differ between these phases:

Developmental StageL6 Expression PatternFunctional Significance
Elementary Bodies (EBs)Reduced expression, stabilized ribosomesMetabolic dormancy, survival outside host
Early RB formationDramatic upregulationSupports rapid protein synthesis during replication
RB replication phaseHigh sustained expressionMaintains ribosome pool during active growth
RB to EB conversionGradual reductionPart of metabolic downregulation during EB formation

Transcriptomic and proteomic analyses suggest that L6 expression is tightly coordinated with other ribosomal proteins and assembly factors. The precise regulation mechanisms, including potential developmental stage-specific promoters and post-transcriptional controls, remain areas of active investigation.

What experimental systems can best model C. caviae L6 function in vivo?

Several experimental systems can model C. caviae L6 function in vivo, each with distinct advantages and limitations:

  • Heterologous expression in E. coli:

    • Advantages: Easily manipulated, rapid growth, established genetic tools

    • Limitations: Different cellular environment, lacks Chlamydia-specific factors

    • Best applications: Initial characterization of L6 variants, protein-protein interaction studies

  • Cell culture infection models:

    • Advantages: Recapitulates host-pathogen interactions, full developmental cycle

    • Limitations: Challenging genetic manipulation, slower growth

    • Best applications: Studying L6 function during infection, developmental regulation

  • Guinea pig infection models (C. caviae's natural host):

    • Advantages: Authentic infection model, immune system interactions

    • Limitations: Complex, ethical considerations, difficult genetic manipulation

    • Best applications: In vivo significance of L6 variants, pathogenesis studies

  • Conditional expression/depletion systems:

    • Advantages: Temporal control of L6 expression, can study essential gene

    • Limitations: Technical complexity, potential artifacts from expression system

    • Best applications: Determining consequences of L6 depletion at different developmental stages

The most comprehensive understanding comes from combining these approaches, starting with basic characterization in E. coli and progressing to more complex models as specific hypotheses emerge.

What genomic approaches can reveal regulatory networks involving C. caviae L6?

Modern genomic approaches can uncover regulatory networks involving C. caviae L6:

ApproachApplicationKey Insights
RNA-SeqTranscriptome-wide expression analysisCo-expression patterns with L6, identification of operons
ChIP-SeqIdentification of transcription factor binding sitesRegulators of L6 expression, co-regulated genes
Ribo-SeqRibosome profilingTranslational efficiency of L6, effects of L6 deficiency on translation
CLIP-SeqRNA-protein interaction mappingIdentification of RNAs bound by L6 outside the ribosome
Tn-SeqTransposon mutagenesis with sequencingGenetic interactions with L6, synthetic lethality relationships

Integration of these datasets using systems biology approaches can reveal regulatory circuits controlling L6 expression and identify novel functions beyond ribosome assembly. Computational methods such as weighted gene co-expression network analysis (WGCNA) can identify modules of genes with expression patterns similar to L6, suggesting functional relationships .

How can structural biology techniques advance our understanding of C. caviae L6?

Advanced structural biology techniques provide critical insights into C. caviae L6 structure and function:

  • Cryo-electron microscopy (Cryo-EM):

    • Near-atomic resolution structures of L6 within the ribosome

    • Visualization of conformational changes during ribosome assembly

    • Identification of interaction networks with other ribosomal components

    • Technical parameters: 300kV microscope, direct electron detector, 2-3Å resolution achievable

  • X-ray crystallography:

    • High-resolution structures of isolated L6 domains

    • Co-crystal structures with RNA fragments or binding partners

    • Detailed view of interaction interfaces at atomic resolution

    • Challenges include obtaining diffraction-quality crystals of L6-RNA complexes

  • Nuclear Magnetic Resonance (NMR) spectroscopy:

    • Solution dynamics of L6 and its interactions

    • Identification of conformational changes upon binding

    • Mapping of interaction surfaces at residue level

    • Best suited for smaller domains or fragments of L6

  • Integrative structural biology approaches:

    • Combining multiple techniques (Cryo-EM, X-ray, NMR, mass spectrometry)

    • Cross-validation of structural models

    • Comprehensive view from atomic details to macromolecular assemblies

These structural studies are particularly valuable when integrated with functional data from mutagenesis and biochemical assays, providing a mechanistic understanding of how L6 structure relates to its function in ribosome assembly and beyond .

What considerations are important when designing experiments to study L6 mutants?

Designing rigorous experiments to study L6 mutants requires careful consideration of several factors:

  • Mutation selection strategy:

    • Evolutionary conservation analysis to identify functionally important residues

    • Structure-based design targeting specific interactions (RNA binding, protein-protein interfaces)

    • Alanine scanning of domains to identify critical regions

    • Natural variation analysis across Chlamydial species

  • Expression system considerations:

    • Conditional expression systems for potentially detrimental mutations

    • Complementation approaches for essential gene studies

    • Appropriate promoter strength to match physiological levels

    • Tag position and type to minimize functional interference

  • Phenotypic analysis framework:

    • Growth curve analysis under various conditions (temperature, stress)

    • Ribosome profile analysis via sucrose gradients

    • Protein synthesis rate measurements

    • rRNA processing and maturation assessment

  • Control selection:

    • Wild-type L6 expressed from the same system (positive control)

    • Empty vector controls (negative control)

    • Known defective mutants as reference points

    • Synonymous mutations as controls for nucleotide-level effects

  • Statistical design considerations:

    • Adequate biological replicates (minimum n=3)

    • Appropriate statistical tests for data analysis

    • Power analysis to determine sample size

    • Blinding where applicable to prevent bias

A well-designed experimental approach might use a factorial design to test multiple L6 variants under different conditions, allowing for identification of context-dependent effects and interactions between mutations .

How can I determine the optimal number of replicates for L6 functional studies?

Determining the optimal number of replicates for L6 functional studies involves statistical power analysis that considers several factors:

  • Expected effect size: Larger effects require fewer replicates than subtle changes.

    • Large effects (e.g., lethal mutations): 3-5 replicates

    • Moderate effects (e.g., growth defects): 5-8 replicates

    • Subtle effects (e.g., mild assembly defects): 8-12 replicates

  • Inherent variability of the assay: Higher variability requires more replicates.

    • For assays with coefficient of variation (CV) <10%: 3-5 replicates

    • For assays with CV 10-20%: 6-9 replicates

    • For assays with CV >20%: 10+ replicates

  • Statistical power calculation:
    n=2(Zα+Zβ)2σ2Δ2n = \frac{2(Z_\alpha + Z_\beta)^2\sigma^2}{\Delta^2}
    Where:

    • n = sample size per group

    • Z_α = Z-score for desired significance level (typically 1.96 for α=0.05)

    • Z_β = Z-score for desired power (typically 0.84 for 80% power)

    • σ = standard deviation

    • Δ = minimum detectable difference

  • Resource constraints: Balance statistical power with practical limitations.

For most L6 functional studies, starting with a minimum of 3 biological replicates (each with 2-3 technical replicates) provides a reasonable baseline, with additional replicates added for more subtle phenotypes or highly variable assays .

What controls are essential when designing L6 interaction studies?

Robust interaction studies for L6 require careful selection of controls to ensure valid interpretation of results:

Control TypePurposeExample in L6 Research
Positive controlConfirm assay functionalityKnown L6 interaction partner (e.g., 23S rRNA fragment)
Negative controlIdentify false positivesNon-specific RNA or protein of similar size/charge
Expression controlEnsure comparable expression levelsWestern blot of input samples before interaction assay
Tag-only controlIdentify tag-mediated interactionsExpression of tag alone without L6
Competition controlVerify specificityUnlabeled competitor displaces labeled interaction partner
Domain deletion controlMap interaction domainsTruncated L6 lacking specific domains
Point mutant controlIdentify critical residuesAlanine substitutions at predicted interface
RNase/DNase treatmentDistinguish direct vs. nucleic acid-mediated interactionsPretreatment of samples to eliminate bridging interactions

For RNA-protein interaction studies specifically, using both specific and non-specific RNA competitors at various concentrations can help establish binding specificity and relative affinities. For protein-protein interactions, reciprocal co-immunoprecipitation (performing the experiment in both directions) provides stronger evidence of direct interaction .

What statistical approaches are most appropriate for analyzing L6 mutant phenotypes?

The appropriate statistical approach for analyzing L6 mutant phenotypes depends on the experimental design and data characteristics:

  • For growth curve analysis:

    • Repeated measures ANOVA for time series data

    • Area under the curve (AUC) analysis followed by t-test or ANOVA

    • Growth rate calculation (doubling time) with statistical comparison

    • Non-linear regression to fit growth models

  • For ribosome profile analysis:

    • Ratio analysis of specific peaks (e.g., 50S/30S, 70S/50S)

    • Peak area integration with statistical comparison

    • Profile similarity metrics (correlation coefficient, Euclidean distance)

  • For protein-RNA binding data:

    • Non-linear regression for binding curves (Kd determination)

    • ANOVA with post-hoc tests for multiple mutant comparisons

    • Analysis of variance components for sources of experimental variation

  • For high-dimensional data (e.g., proteomics):

    • Principal component analysis (PCA) for dimensionality reduction

    • Hierarchical clustering to identify patterns

    • Partial least squares discriminant analysis (PLS-DA) to identify discriminating features

    • Multiple testing correction (e.g., Benjamini-Hochberg procedure)

  • For survival or growth-no growth data:

    • Logistic regression for binary outcomes

    • Kaplan-Meier analysis for time-to-event data

    • Cox proportional hazards models for covariate analysis

The experimental design should be considered during analysis, accounting for factors like blocking, nesting, or split-plot arrangements. R programming with appropriate packages (e.g., nlme, lme4, DESeq2) is commonly used for these analyses .

How should I approach contradictory results in L6 functional studies?

Contradictory results in L6 functional studies require systematic investigation:

  • Methodological reconciliation:

    • Compare experimental conditions between studies (temperature, media, strain background)

    • Evaluate differences in protein expression systems (promoter strength, tags, purification methods)

    • Assess methodological differences in assay conditions (buffer composition, salt concentration, pH)

    • Consider time-dependent effects that may reconcile apparently contradictory observations

  • Biological context exploration:

    • Investigate strain-specific effects (genetic background differences)

    • Consider potential compensatory mechanisms in different systems

    • Evaluate context-dependent function (condition-specific roles of L6)

    • Explore potential post-translational modifications affecting function

  • Technical validation approach:

    • Reproduce both conflicting results using standardized protocols

    • Perform titration experiments to identify threshold effects

    • Use alternative, orthogonal methods to assess the same biological question

    • Collaborate with labs reporting conflicting results for direct comparison

  • Integrated interpretation framework:

    • Develop models that incorporate apparently contradictory observations

    • Consider kinetic vs. thermodynamic aspects of the observed phenomenon

    • Evaluate whether contradictions reflect different aspects of a complex process

    • Use mathematical modeling to identify parameters that could reconcile observations

When reporting such investigations, a clear discussion of both conflicting results and reconciliation attempts should be included, recognizing that contradictions often lead to deeper mechanistic insights .

What are best practices for reporting L6 experimental results in publications?

Best practices for reporting L6 experimental results in scientific publications include:

Following these practices ensures reproducibility and allows other researchers to build effectively on published L6 studies .

Future Research Directions

Research on Chlamydophila caviae ribosomal protein L6 continues to evolve, with several promising directions for future investigation. Integration of structural biology with functional genomics promises to reveal the precise mechanism of L6's role in ribosome assembly. The potential for L6-targeted antimicrobials represents an exciting therapeutic avenue for Chlamydial infections. Additionally, exploring potential moonlighting functions of L6 beyond the ribosome may reveal unexpected roles in bacterial physiology and pathogenesis.

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