Recombinant Treponema pallidum Uncharacterized protein TP_0273 (TP_0273)

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Description

Overview of Recombinant Treponema pallidum Uncharacterized Protein TP_0273 (TP_0273)

TP_0273 is a recombinant protein derived from Treponema pallidum, the causative agent of syphilis. Classified as an "uncharacterized protein," its biological function remains undefined in current scientific literature. The recombinant form is typically expressed in E. coli and purified using affinity chromatography, often with an N-terminal His-tag for stability and purification efficiency . Below are key characteristics and research insights into this protein.

Key Sequence Features

The full-length amino acid sequence (1–263 residues) includes motifs like:

  • Hydrophobic regions (e.g., MLPYAEVILF, FLIKKHCIDCG) suggesting membrane association.

  • Potential transmembrane domains (based on sequence analysis) .

Production and Purification

TP_0273 is synthesized as a recombinant protein using E. coli expression systems. The His-tag facilitates nickel affinity chromatography for purification. Post-production steps include lyophilization and storage at -20°C or -80°C .

Research Context

While TP_0273 is commercially available for research , limited peer-reviewed studies directly investigate its role. By contrast, other T. pallidum proteins like TpN17 and TmpA are extensively studied for diagnostic and vaccine development .

Comparative Diagnostic Potential

ProteinDiagnostic UseSensitivitySpecificityCross-ReactivitySources
TpN17Serological diagnosis of syphilis97.2% (ELISA)100%Low (non-bacterial)
TmpASerological diagnosis of syphilis90.6% (ELISA)100%None reported
TP_0273Hypothetical (no published data)N/AN/AN/A

Functional Unknowns

  • Role in Pathogenesis: No studies link TP_0273 to immune evasion, adhesion, or nutrient acquisition.

  • Immunogenicity: Unlike TpN17 or TpN47, TP_0273 has not been tested for antibody responses in syphilis patients .

Potential Research Avenues

  1. Structural Analysis: Predictive modeling to identify membrane-interacting domains.

  2. Immune Profiling: Testing TP_0273’s ability to elicit antibody responses in syphilis sera.

  3. Diagnostic Utility: Evaluating its performance in multiplex assays alongside established antigens.

Product Specs

Form
Lyophilized powder
Note: We prioritize shipping the format currently in stock. However, if you have specific format requirements, please indicate them in your order. We will fulfill your request to the best of our ability.
Lead Time
Delivery times may vary depending on the purchasing method and location. For specific delivery times, please consult your local distributors.
Note: All our proteins are shipped with standard blue ice packs. If you require dry ice shipping, please inform us in advance, as additional fees will apply.
Notes
Repeated freezing and thawing is not recommended. For working aliquots, store at 4°C for up to one week.
Reconstitution
We recommend briefly centrifuging the vial prior to opening to collect the contents at the bottom. Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%, which can serve as a reference for your preparation.
Shelf Life
Shelf life is influenced by various factors, including storage conditions, buffer composition, temperature, and the protein's inherent stability.
Generally, the shelf life for liquid form is 6 months at -20°C/-80°C. Lyophilized form has a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is necessary for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type will be determined during the manufacturing process.
The tag type is determined during production. If you have a specific tag type requirement, please inform us, and we will prioritize developing the specified tag.
Synonyms
TP_0273; Uncharacterized protein TP_0273
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-263
Protein Length
full length protein
Species
Treponema pallidum (strain Nichols)
Target Names
TP_0273
Target Protein Sequence
MLPYAEVILFLIKKHCIDCGEAFFGIVVLNALCLAGVGYSLLWHQGPGRSVLFVLVLATL YACLCAFCVVRGERGCDTLADTNLRVFTHALREVWLQSLWCALLQCVLFRTGKYVCTYYF ARTHSVFTACGILSAWTYALACGALLWFVPVRARYRTHFRQCVYLSARVFFEHPCITFLM VLYSMGVLALSVPMAFLFPGPCGIVLLWQDVLRTLCFRRAWLAAHEGRKAACAPPIPWEQ LMCQMRAQSRAHTVGELFSPWKS
Uniprot No.

Target Background

Database Links

KEGG: tpa:TP_0273

STRING: 243276.TP0273

Subcellular Location
Cell membrane; Multi-pass membrane protein.

Q&A

What is the optimal expression system for recombinant TP_0273 protein?

The optimal expression system for recombinant TP_0273 is E. coli with an N-terminal His tag. This approach has been successfully employed to produce the full-length protein (amino acids 1-263) with high purity (>90% as determined by SDS-PAGE) . When designing your expression protocol, consider that:

  • The full amino acid sequence (MLPYAEVILFLIKKHCIDCGEAFFGIVVLNALCLAGVGYSLLWHQGPGRSVLFVLVLATLYACLCAFCVVRGERGCDTLADTNLRVFTHALREVWLQSLWCALLQCVLFRTGKYVCTYYF ARTHSVFTACGILSAWTYALACGALLWFVPVRARYRTHFRQCVYLSARVFFEHPCITFLMVLYSMGVLALSVPMAFLFPGPCGIVLLWQDVLRTLCFRRAWLAAHEGRKAACAPPIPWEQLMCQMRAQSRAHTVGELFSPWKS) should be preserved for structural integrity

  • Expression optimization may require varying induction conditions (IPTG concentration, temperature, and duration)

  • Alternative expression systems could be considered for specific applications requiring post-translational modifications

What storage and handling protocols maximize TP_0273 stability?

For optimal stability of recombinant TP_0273:

  • Store the lyophilized protein at -20°C/-80°C upon receipt

  • Reconstitute in deionized sterile water to 0.1-1.0 mg/mL

  • Add glycerol to a final concentration of 50% for long-term storage

  • Aliquot the protein to avoid repeated freeze-thaw cycles

  • For working solutions, store at 4°C for up to one week

The protein is typically supplied in a Tris/PBS-based buffer containing 6% trehalose at pH 8.0, which helps maintain stability during lyophilization and reconstitution .

How does TP_0273 relate to other proteins within the T. pallidum genome?

TP_0273 is part of a large genomic region in T. pallidum, specifically found within a 31 kb fragment comprising ORFs TP0273-TP0304 . This contextual positioning may provide insights into its potential functional relationships:

  • The protein appears in a distinct chromosomal fragment successfully maintained in BAC libraries

  • Unlike some other T. pallidum proteins (such as TP0241-TP0252 and TP0596), TP_0273 does not appear to present cloning difficulties

  • Genomic context analysis may reveal potential operonic relationships or functional gene clusters

What experimental approaches can determine the function of this uncharacterized protein?

Multiple complementary approaches should be employed to characterize TP_0273:

  • Structural analysis:

    • Predict secondary and tertiary structures using bioinformatics

    • Perform X-ray crystallography or NMR studies

    • Analyze hydrophobicity profiles (the sequence suggests multiple hydrophobic regions indicating potential membrane association)

  • Comparative genomics:

    • Identify homologs in related organisms

    • Analyze conserved domains and motifs

  • Protein-protein interaction studies:

    • Yeast two-hybrid screening

    • Co-immunoprecipitation with T. pallidum lysates

    • Proximity labeling techniques

  • Gene knockout/knockdown studies:

    • CRISPR-Cas9 editing if applicable

    • Antisense RNA approaches

  • Functional assays based on predicted properties:

    • If membrane-associated (suggested by sequence): membrane localization studies

    • If involved in virulence: host-cell interaction assays

How can researchers design controlled experiments to study TP_0273 function?

Following sound experimental design principles is crucial when studying TP_0273:

  • Formulate a clear hypothesis based on bioinformatic predictions or preliminary data

  • Identify appropriate variables:

    • Independent variable: TP_0273 presence/absence or modification

    • Dependent variable: measurable outcome (e.g., binding activity, cellular localization)

    • Control variables: experimental conditions that must remain constant

  • Include proper controls:

    • Positive control: known protein with similar predicted function

    • Negative control: protein preparation without TP_0273

    • Vector-only control when expressing recombinant protein

  • Ensure reproducibility through:

    • Multiple biological replicates

    • Technical replicates within each experiment

    • Statistical analysis of results4

Using this approach allows isolation of the specific effects attributable to TP_0273, similar to how experimental design in other fields identifies causality by comparing control and experimental conditions4.

What purification strategies are most effective for recombinant TP_0273?

Given the His-tag fusion in the commercially available recombinant protein , the following purification strategy is recommended:

  • Initial capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin

  • Intermediate purification: Ion exchange chromatography based on the protein's predicted isoelectric point

  • Polishing step: Size exclusion chromatography to remove aggregates and achieve >95% purity

Purification StepMethodBuffer CompositionExpected Outcome
CaptureNi-NTA Affinity20mM Tris-HCl, 500mM NaCl, 20-250mM imidazole gradient, pH 8.0~80% purity
IntermediateIon Exchange20mM Tris-HCl, 0-500mM NaCl gradient, pH 8.0~90% purity
PolishingSize ExclusionPBS or Tris buffer with 150mM NaCl, pH 7.4-8.0>95% purity

Quality control should include SDS-PAGE analysis and Western blotting using anti-His antibodies to confirm identity and purity.

What analytical techniques are most informative for studying TP_0273 structure-function relationships?

For comprehensive structure-function analysis of TP_0273:

  • Biophysical characterization:

    • Circular dichroism (CD) spectroscopy to determine secondary structure content

    • Fluorescence spectroscopy to monitor conformational changes

    • Differential scanning calorimetry (DSC) to assess thermal stability

  • Structural biology approaches:

    • X-ray crystallography for high-resolution structure

    • Cryo-EM for visualization of larger complexes

    • NMR for studying dynamics in solution

  • Functional mapping:

    • Site-directed mutagenesis of conserved residues

    • Truncation analysis to identify functional domains

    • Chemical modification of specific amino acids

  • Computational analysis:

    • Molecular dynamics simulations

    • Protein-protein docking

    • Structure-based virtual screening for potential ligands

How can researchers address protein solubility issues with TP_0273?

The amino acid sequence of TP_0273 suggests multiple hydrophobic regions , which may contribute to solubility challenges. To address this:

  • Optimize buffer conditions:

    • Test different pH values (range 6.0-9.0)

    • Evaluate various salt concentrations (150-500mM NaCl)

    • Add solubility enhancers: glycerol (5-10%), mild detergents (0.05-0.1% Tween-20)

  • Modify protein constructs:

    • Design truncated versions excluding highly hydrophobic regions

    • Consider fusion partners known to enhance solubility (MBP, SUMO, TRX)

    • Explore different tag positions (N- vs C-terminal)

  • Adjust expression conditions:

    • Lower induction temperature (16-25°C)

    • Reduce inducer concentration

    • Express in specialized E. coli strains designed for membrane or difficult proteins

What strategies help overcome challenges in functional characterization of uncharacterized proteins like TP_0273?

When facing the challenge of characterizing a protein with unknown function:

  • Sequential prediction approaches:

    • Begin with in silico predictions (homology, conserved domains, structural predictions)

    • Progress to targeted biochemical assays based on predictions

    • Expand to unbiased screening approaches if targeted approaches are unsuccessful

  • Context-based investigations:

    • Analyze genomic neighborhood for functional associations

    • Examine expression patterns during different growth phases or infection stages

    • Study co-regulated genes to infer functional relationships

  • Comparative analysis across species:

    • Identify orthologs in related Treponema species or other spirochetes

    • Compare sequence conservation patterns to identify functionally important regions

    • Leverage knowledge from better-characterized homologs

How might TP_0273 contribute to T. pallidum pathogenesis?

While the function of TP_0273 remains uncharacterized, several approaches can investigate its potential role in pathogenesis:

  • Host-pathogen interaction studies:

    • Evaluate binding to host cell components or extracellular matrix proteins

    • Assess impact on host cell signaling pathways

    • Investigate effect on immune response elements

  • Expression analysis during infection:

    • Quantify TP_0273 expression levels during different stages of infection

    • Compare expression in different tissue environments

    • Analyze regulation in response to host factors

  • Immunological relevance:

    • Evaluate immunogenicity in T. pallidum infection

    • Assess potential as a diagnostic marker

    • Investigate vaccine potential

What emerging technologies could accelerate functional characterization of TP_0273?

Several cutting-edge approaches could substantially advance our understanding of TP_0273:

  • Structural biology innovations:

    • AlphaFold2 and other AI-based structure prediction tools

    • Integrative structural biology combining multiple experimental techniques

    • Hydrogen-deuterium exchange mass spectrometry for dynamics and interactions

  • Systems biology approaches:

    • Multi-omics integration (genomics, transcriptomics, proteomics, metabolomics)

    • Network analysis to position TP_0273 in functional networks

    • Mathematical modeling of potential pathways involving TP_0273

  • Advanced genetic technologies:

    • CRISPR interference for controlled gene expression

    • Single-cell analysis of bacterial populations

    • In vivo imaging techniques to track protein dynamics

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