Recombinant Strongylocentrotus purpuratus Protein SpAN (SPAN), partial

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Description

Protein Overview

The Recombinant Strongylocentrotus purpuratus Protein SpAN (SPAN), partial, is a bioengineered version of a native protein isolated from the purple sea urchin (Strongylocentrotus purpuratus). It is produced via recombinant expression in a Baculovirus system and is commercially available as a research-grade reagent. The protein is designated as "partial" due to its truncated sequence, encompassing residues 94–616 of the full-length native protein .

AttributeDetail
Uniprot IDP98068
Expression SystemBaculovirus
Purity>85% (SDS-PAGE)
Recommended Storage-20°C or -80°C (lyophilized or with 50% glycerol)
ReconstitutionDeionized sterile water (0.1–1.0 mg/mL) with optional glycerol

Expression and Production

SPAN is expressed in insect cells (Baculovirus system) and purified to >85% homogeneity. Its expression region (94–616) excludes the N-terminal leader peptide, which is typical for recombinant proteins to enhance solubility and stability . The partial sequence retains key functional domains, including histidine-rich and glycine-rich regions, which are hypothesized to mediate protein-protein interactions .

Research Context

While SPAN itself is not extensively studied in the provided literature, its classification as a metalloprotease suggests potential roles in immune defense, tissue remodeling, or extracellular matrix degradation. Purple sea urchin immune proteins, such as Sp185/333 and SpTransformer families, are renowned for their structural plasticity and antimicrobial functions . SPAN’s partial sequence overlaps with these families’ conserved regions, implying possible functional overlap .

Product Specs

Form
Lyophilized powder. We will ship the available format, but you can specify a format when ordering, and we will try to accommodate your request.
Lead Time
Delivery times vary by purchase method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. Contact us in advance for dry ice shipping (extra fees apply).
Notes
Avoid repeated freezing and thawing. Working aliquots can be stored at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute the 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: generally 6 months at -20°C/-80°C. Lyophilized form: generally 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
The tag type is determined during manufacturing. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
SPAN; Protein SpAN; EC 3.4.24.-
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Protein Length
Partial
Purity
>85% (SDS-PAGE)
Species
Strongylocentrotus purpuratus (Purple sea urchin)
Target Names
SPAN
Uniprot No.

Q&A

What is the Strongylocentrotus purpuratus Protein SpAN and how does it relate to the Sp185/333 protein family?

Recombinant SpAN protein is related to the Sp185/333 protein family (now also called SpTransformer proteins) expressed by the purple sea urchin, Strongylocentrotus purpuratus. These proteins are part of a diverse immune response family that demonstrates multiple binding capabilities against various pathogens. The SpTransformer designation reflects their remarkable ability to transform their structural conformation depending on binding targets, which appears to be a fundamental characteristic of this protein family. Bioinformatic analysis predicts these proteins to be intrinsically disordered, allowing for structural flexibility when interacting with different molecular targets .

What are the key structural properties of Sp185/333 proteins that might inform research on SpAN?

Sp185/333 proteins (including rSpTransformer-E1, previously called rSp0032) demonstrate remarkable structural flexibility. Circular dichroism analysis suggests these proteins can transform from disordered (random coil) to α-helical structures. This structural transformation appears to be the foundation for their strong binding affinity with several pathogen-associated molecular patterns. The proteins contain distinct regions with unique properties - an N-terminal glycine-rich fragment and a C-terminal histidine-rich fragment, each showing distinct transformations by either intensifying the α-helical structure or changing from α-helical to β strand configurations depending on environmental conditions and binding partners .

How do intrinsically disordered proteins like SpAN function in immune responses?

Intrinsically disordered proteins like SpAN and other members of the Sp185/333 family provide a mechanism for immune flexibility through structural transformation. Unlike proteins with fixed tertiary structures, these proteins can adopt different conformations depending on the target pathogen, allowing them to bind to various pathogens with high specificity. This multitasking binding capability enables the sea urchin to mount effective immune responses against diverse foreign cells. The structural transformation from disordered to more ordered states (such as α-helical) upon binding to pathogens appears to be a key mechanism in their function, allowing them to adapt their structure to complement different binding targets .

What are the recommended methods for producing recombinant SpAN/Sp185/333 proteins?

When producing recombinant sea urchin immune proteins like SpAN or Sp185/333, researchers typically use bacterial expression systems such as E. coli. The process involves cloning the gene of interest into an appropriate expression vector, transforming bacteria, inducing expression, and then purifying the recombinant protein. For purification, mixed-mode chromatography techniques can be employed, accounting for the unique structural properties of these proteins. Since these proteins may have multiple interaction modes (hydrophobic, ionic, hydrogen bonding), optimization of binding and elution conditions is crucial. Design of Experiments (DOE) approaches can be particularly useful to identify optimal binding and elution conditions, evaluating parameters such as pH and conductivity .

What analytical techniques are most appropriate for characterizing the structural transformations of SpAN and related proteins?

Circular dichroism (CD) spectroscopy is particularly valuable for analyzing the structural transformations of SpAN and related Sp185/333 proteins. This technique allows researchers to observe transitions between disordered (random coil) and ordered structures (α-helical or β strand). Additionally, mass spectrometry-based methods can provide detailed characterization of these proteins, including intact protein analysis and peptide mapping. High-resolution mass spectrometry with techniques like sliding window deconvolution can help identify different proteoforms and post-translational modifications. For comprehensive characterization, combining multiple approaches such as bottom-up (peptide mapping) and top-down (intact protein) mass spectrometry is recommended to obtain complete sequence coverage and accurate quantification of different protein forms .

How should researchers design experiments to study the binding properties of SpAN with different pathogen targets?

When studying binding properties of SpAN with different pathogen targets, researchers should implement a systematic approach that accounts for the protein's structural flexibility. Initial binding studies might employ enzyme-linked immunosorbent assays (ELISAs) or surface plasmon resonance (SPR) to evaluate binding to various pathogen-associated molecular patterns. Experimental designs should include:

  • Comparison of binding under different buffer conditions to identify parameters that influence structural transitions

  • Use of both whole pathogens and isolated pathogen components to determine specificity

  • Analysis of binding kinetics to determine association and dissociation rates

  • Competitive binding assays to evaluate relative affinities for different targets

  • Mutagenesis studies of specific protein regions (e.g., N-terminal glycine-rich or C-terminal histidine-rich domains) to determine their contribution to binding specificity

How can researchers differentiate between specific and non-specific binding activities of SpAN in experimental settings?

Differentiating between specific and non-specific binding of SpAN requires multiple control experiments and quantitative analysis. Researchers should implement a series of methodological approaches:

  • Conduct dose-response binding experiments with titration of both the protein and target concentrations

  • Compare binding affinities across phylogenetically diverse pathogen targets

  • Employ competitive binding assays using unlabeled and labeled protein to demonstrate displacement

  • Use structurally similar but functionally distinct proteins as negative controls

  • Perform site-directed mutagenesis of predicted binding sites to confirm their role in specificity

  • Analyze binding under different salt concentrations and pH conditions to differentiate electrostatic from hydrophobic interactions

These approaches help establish that observed binding is target-specific rather than due to general adhesive properties of the protein. Additionally, researchers should validate binding results using multiple detection methods to rule out technical artifacts .

What are the challenges in interpreting structural data for intrinsically disordered proteins like SpAN, and how can these be addressed?

Intrinsically disordered proteins (IDPs) like SpAN present unique challenges for structural characterization due to their conformational flexibility. Traditional structural biology techniques such as X-ray crystallography may be limited since these proteins don't adopt stable tertiary structures. To address these challenges:

  • Use complementary structural techniques: Combine circular dichroism, nuclear magnetic resonance (NMR), and small-angle X-ray scattering (SAXS) to obtain a more complete picture of the protein's conformational ensemble

  • Perform structural analyses under various conditions: Examine how different solvents, binding partners, and environmental conditions affect structural transitions

  • Implement computational approaches: Use molecular dynamics simulations and IDP-specific prediction algorithms to model conformational states

  • Apply single-molecule techniques: Consider fluorescence resonance energy transfer (FRET) to observe structural transitions in real-time

  • Develop region-specific structural analyses: Study structural properties of distinct domains separately before integrating into a comprehensive model

These approaches provide a more accurate representation of the dynamic structural nature of SpAN and similar proteins, avoiding misinterpretation from a single structural characterization technique .

How can sequence variation within the Sp185/333 gene family inform functional studies of SpAN?

The Sp185/333 gene family demonstrates remarkable sequence diversity, which likely contributes to the functional versatility of proteins like SpAN. When designing studies to investigate the relationship between sequence variation and function:

  • Perform comparative sequence analysis across multiple Sp185/333 variants to identify conserved and variable regions

  • Map sequence variations to functional domains and correlate with binding specificities

  • Generate recombinant proteins representing different sequence variants for functional comparison

  • Use chimeric proteins with swapped domains to attribute specific functions to particular sequence regions

  • Apply evolutionary analyses to identify positively selected residues that may be involved in pathogen recognition

  • Develop high-throughput screening methods to assess functional differences across variant proteins

This systematic approach allows researchers to determine how sequence variation translates to functional diversity in binding capabilities and how it might contribute to the sea urchin's capacity to respond to diverse pathogens. Understanding this sequence-function relationship could provide insight into the evolution of immune recognition molecules more broadly .

How can SpAN and related sea urchin proteins inform the development of biosensors or diagnostic tools?

The multitasking binding capabilities and structural flexibility of SpAN and related proteins offer promising applications for biosensor and diagnostic tool development. These proteins could be engineered as detection elements with the following approaches:

  • Immobilize recombinant SpAN variants on sensor surfaces to create pathogen-specific detection platforms

  • Engineer fusion proteins combining SpAN binding domains with reporter elements for signal amplification

  • Develop multiplexed detection systems exploiting the protein's ability to bind different targets depending on environmental conditions

  • Create structurally modified SpAN derivatives with enhanced stability or specificity for particular pathogen targets

  • Design protein arrays with different SpAN variants to generate pathogen-specific binding profiles

The ability of these proteins to transform their structure upon binding makes them particularly valuable for developing sensors that can provide conformational change-based signal transduction. This approach could lead to highly sensitive detection systems for pathogen identification in both research and clinical settings .

What are the methodological considerations for studying post-translational modifications of SpAN proteins?

Studying post-translational modifications (PTMs) of SpAN proteins requires comprehensive analytical strategies:

  • Combine bottom-up and top-down proteomics approaches to achieve complete sequence coverage

  • Use high-resolution mass spectrometry with appropriate fragmentation techniques (ETD, HCD, CID) to identify modification sites

  • Implement enrichment strategies for specific PTMs (e.g., phosphopeptide enrichment, glycopeptide enrichment)

  • Perform quantitative analysis to determine the stoichiometry of modifications

  • Consider the impact of protein structural flexibility on modification accessibility

  • Develop site-specific antibodies against common modifications to monitor their presence in various conditions

When examining adenylation or other specific modifications, researchers should be aware that quantitative results from bottom-up approaches may be inconsistent due to multiple peptide forms spanning the modification sites. Therefore, intact protein analysis should complement peptide mapping for accurate quantification of different proteoforms .

How might insights from SpAN research contribute to understanding evolutionarily conserved immune mechanisms?

Research on SpAN and related sea urchin immune proteins offers valuable insights into the evolution of immune recognition:

  • Compare binding mechanisms of SpAN to pattern recognition receptors in other invertebrates and vertebrates

  • Analyze structural transitions in relation to similar conformational changes in mammalian immune proteins

  • Study the evolutionary trajectory of these immune proteins by comparative analysis across echinoderm species

  • Investigate whether the principle of structural flexibility as a mechanism for target diversity is conserved in other immune systems

  • Evaluate how the SpAN system complements other immune components in sea urchins

These comparative studies may reveal fundamental principles of immune recognition that transcend phylogenetic boundaries. The structural transformation capabilities of these proteins represent a fascinating alternative or complement to the genetic recombination strategies used by vertebrate adaptive immune systems to achieve recognition diversity. Understanding these mechanisms could potentially inform the development of novel therapeutic approaches in human medicine .

What statistical approaches are recommended for analyzing binding data from SpAN protein experiments?

When analyzing binding data for SpAN proteins, robust statistical approaches are essential to account for their complex binding properties:

  • Apply non-linear regression analysis for determining binding affinities, considering potential cooperative binding effects

  • Use multivariate analysis to correlate structural parameters with binding efficiencies across different conditions

  • Implement Design of Experiments (DOE) methodology to systematically evaluate multiple parameters affecting binding, such as pH, ionic strength, and temperature

  • Develop principal component analysis models to identify key variables affecting binding specificity

  • Apply hierarchical clustering to group binding targets based on similar interaction patterns

  • Use Bayesian statistical approaches to update binding models as new data becomes available

For purification optimization studies, response surface methodology with center points can effectively identify optimal binding and elution conditions, particularly when using mixed-mode chromatography where multiple interaction types (hydrophobic, ionic, hydrogen bonding) may be involved .

How should researchers address contradictory findings when studying multifunctional proteins like SpAN?

When confronted with contradictory findings in SpAN research, a methodical troubleshooting approach is recommended:

  • Systematically examine experimental conditions: Small variations in buffer composition, temperature, or protein concentration may significantly impact results due to the protein's structural flexibility

  • Verify protein integrity: Ensure the recombinant protein maintains its native properties through quality control checks before experiments

  • Consider platform-dependent effects: Compare results across different analytical platforms to identify method-specific artifacts

  • Examine post-translational modifications: Verify whether different protein preparations have consistent modifications that might affect function

  • Investigate conformational states: Determine whether the protein exists in different conformational ensembles under experimental conditions

  • Design bridging experiments: Create experimental designs that can explain transitions between contradictory findings

Additionally, researchers should consider implementing a pre-registration approach for complex studies on these multifunctional proteins, clearly defining hypotheses and analysis plans before conducting experiments to reduce confirmation bias .

What are promising avenues for expanding the functional characterization of SpAN proteins?

Future research on SpAN proteins could explore several innovative directions:

  • High-throughput screening of binding against diverse pathogen libraries to create comprehensive binding profiles

  • Single-molecule studies examining real-time conformational changes during pathogen binding

  • In vivo studies using CRISPR-Cas9 gene editing (similar to bindin knockout studies) to elucidate SpAN's role in the sea urchin immune response

  • Structural studies under different environmental stressors to determine how climate change factors might impact immune function

  • Investigation of potential synergistic effects between SpAN and other immune components

  • Development of synthetic biology applications harnessing the multitasking binding capabilities

Researchers should consider developing standardized protocols for functional assays to enable direct comparison of results across different laboratories. Additionally, creating recombinant SpAN protein libraries with systematic variations could help establish structure-function relationships more comprehensively .

How might computational approaches enhance our understanding of SpAN protein function and dynamics?

Computational approaches offer powerful tools for investigating the complex structural dynamics of SpAN proteins:

  • Molecular dynamics simulations to model structural transitions between disordered and ordered states

  • Machine learning approaches to predict binding specificities based on sequence features

  • Network analysis of protein-protein interactions to identify potential binding partners in immune response pathways

  • Homology modeling incorporating intrinsically disordered regions to predict functional domains

  • Quantum mechanical calculations to understand the energetics of structural transformations

  • Development of specialized force fields optimized for intrinsically disordered proteins

These computational methods, when integrated with experimental data, can provide a more comprehensive understanding of how sequence variations translate to functional diversity and how structural dynamics enable multitasking binding capabilities. Simulation of binding events with different pathogen-associated molecular patterns could reveal the molecular basis for specificity and guide experimental design .

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