| Property | Specification |
|---|---|
| UniProt ID | Q99165 |
| Expression Host | Escherichia coli |
| Tag | N-terminal 10xHis |
| Purity | >90% (SDS-PAGE verified) |
| Storage | -20°C/-80°C in Tris/PBS buffer with 6% trehalose (lyophilized or liquid) |
Recombinant xpaL2 is commercially available for research purposes, though its biological function remains unelucidated. Its production focuses on biochemical studies due to its uncharacterized nature:
Buffer Composition: Tris-based with 50% glycerol for stability .
Reconstitution: Recommended in deionized water with glycerol (5–50%) for long-term storage .
While xpaL2 lacks functional characterization, studies on similar small recombinant proteins highlight potential roles:
xpaL2’s high stability in Tris/PBS buffers and glycerol aligns with trends observed in other small recombinant proteins used in diagnostics or structural biology .
No peer-reviewed studies directly investigate xpaL2’s biological role. Key unknowns include:
The xpaL2 protein is classified as a membrane protein, specifically a single-pass membrane protein. This classification indicates that the protein contains a transmembrane domain that spans the lipid bilayer once. This localization is consistent with its potential function in membrane-associated processes, as is common for proteins in the SPP1 holin family .
For optimal stability of recombinant xpaL2 protein, storage at -20°C/-80°C is recommended upon receipt. The protein should be aliquoted to avoid repeated freeze-thaw cycles, which can compromise its integrity and activity. For short-term use, working aliquots can be stored at 4°C for up to one week. The shelf life for liquid formulations is typically 6 months at -20°C/-80°C, while lyophilized formulations can maintain stability for up to 12 months when properly stored .
When designing experiments to investigate xpaL2 protein function, employ a systematic approach following these principles:
Define clear variables: Establish your independent variables (e.g., protein concentration, incubation time) and dependent variables (e.g., binding affinity, membrane permeability) with precision .
Include appropriate controls: Implement both positive and negative controls, including experiments with denatured protein, buffer-only conditions, and related proteins from the same family for comparison .
Consider factorial design: To examine potential interactions between variables affecting xpaL2 function, implement a factorial experimental design that allows for analysis of multiple factors simultaneously .
Account for time-dependent effects: As membrane proteins often exhibit time-dependent activities, design time-course experiments to capture the complete functional profile of xpaL2 .
Address experimental validity threats: Control for potential confounding variables such as temperature fluctuations, pH changes, and sample preparation variations that might affect membrane protein behavior .
The optimal expression system for recombinant xpaL2 production is E. coli, as demonstrated in multiple successful preparations. When expressing this protein:
Expression vector selection: Based on available data, vectors that incorporate an N-terminal His-tag (such as pGEX-4T-1 after appropriate modification) have proven effective for xpaL2 expression .
Codon optimization: It is recommended to perform codon optimization of the xpaL2 DNA sequence for expression in E. coli, as this approach has been shown to enhance protein yield significantly .
Expression conditions: While specific optimization parameters will depend on your strain and vector, general conditions for membrane protein expression include induction at lower temperatures (16-25°C) and reduced IPTG concentrations to prevent inclusion body formation.
Purification strategy: The expressed protein can be efficiently purified using immobilized metal affinity chromatography (IMAC) targeting the N-terminal His-tag, followed by size exclusion chromatography if higher purity is required .
The resulting protein has demonstrated greater than 90% purity when analyzed by SDS-PAGE, making this expression system suitable for most research applications .
Assessing the proper folding of xpaL2 after purification requires a multi-technique approach:
Circular Dichroism (CD) Spectroscopy: As a membrane protein, xpaL2 should exhibit characteristic secondary structure patterns in CD spectra, with alpha-helical components typically showing negative peaks at 208 and 222 nm.
Size Exclusion Chromatography (SEC): A correctly folded protein will elute as a single, symmetrical peak at the expected molecular weight (approximately 9.5 kDa plus tag contribution), while misfolded or aggregated protein will appear in the void volume or as multiple peaks.
Thermal Shift Assay: Using fluorescent dyes that bind to hydrophobic regions, monitor the protein's unfolding transition temperature. A well-defined melting curve indicates properly folded protein.
Limited Proteolysis: Correctly folded proteins typically show resistance to proteolytic digestion compared to unfolded variants, with distinct digestion patterns when analyzed by SDS-PAGE.
Functional Assays: Since xpaL2 is a membrane protein, reconstitution into liposomes followed by membrane permeability assays can provide functional evidence of proper folding.
Combining these approaches provides comprehensive assessment of folding status, with each method addressing different aspects of protein structure integrity.
Investigating the membrane insertion properties of xpaL2 requires specialized techniques for membrane protein analysis:
Fluorescence Spectroscopy: Introduce fluorescent labels at strategic positions in xpaL2 (ensuring they don't interfere with function) to monitor environmental changes during membrane insertion. Tryptophan residues naturally present in xpaL2 (position 63) can serve as intrinsic fluorescence probes.
Protease Protection Assays: After reconstitution into liposomes, treat with proteases that cannot cross membranes. Compare the digestion pattern of protected segments to identify membrane-embedded regions.
Oriented Circular Dichroism: This specialized CD technique analyzes proteins in oriented membrane systems to determine the orientation of helical segments relative to the membrane plane.
Atomic Force Microscopy: Visualize xpaL2 inserted into supported lipid bilayers to determine topography and organization within membranes.
Molecular Dynamics Simulations: Complement experimental work with computational modeling of xpaL2 membrane insertion, particularly useful for predicting interaction energetics and conformational changes.
Each technique provides different information about insertion dynamics, and combining multiple approaches yields the most comprehensive understanding of how xpaL2 interacts with membranes.
The xpaL2 protein belongs to the SPP1 holin family, sharing several conserved features with other family members while also displaying unique characteristics:
| Feature | xpaL2 | Typical SPP1 Holins | Significance |
|---|---|---|---|
| Size | 87 amino acids (9.5 kDa) | 80-150 amino acids | xpaL2 is on the smaller end of the spectrum for holin proteins |
| Transmembrane domains | Single-pass | 1-3 transmembrane domains | Suggests a simpler membrane topology than multi-pass holins |
| N-terminal domain | Hydrophobic | Usually hydrophobic | Consistent with family characteristics for membrane insertion |
| Charged residues | Present in C-terminal region | Common pattern | Important for function in membrane permeabilization |
| Sequence conservation | Moderate | Variable within family | Suggests specialized function while maintaining core holin features |
The function of xpaL2 has not been fully characterized, but based on its family classification, it likely plays a role in regulated membrane permeabilization processes. Unlike better-characterized holins that function in bacteriophage infection cycles, the specific physiological role of xpaL2 in Bacillus licheniformis remains to be elucidated through targeted functional studies .
The significance of ORF3 proteins varies across biological systems, with important functional implications:
Viral ORF3 proteins: In porcine circovirus type 2 (PCV2), the ORF3 protein has been demonstrated to play a pivotal role in viral replication. Studies using PCV2 infectious DNA clones lacking ORF3 showed that progeny virions were not produced in transfected PK-15 cells, indicating the essential nature of this protein for viral propagation .
Bacterial ORF3 proteins: In bacterial systems like Bacillus licheniformis, proteins encoded in ORF3 regions (such as xpaL2) are often membrane-associated and may be involved in cellular processes related to membrane function, although their specific roles are frequently uncharacterized .
Transcriptional evidence: mRNA transcripts of ORF3 have been confirmed through multiple techniques including RT-PCR, Northern blot analysis, and sequencing, validating that these regions are indeed expressed in their respective biological systems .
Experimental approaches: Characterization typically begins with expression of the ORF3 protein as a fusion protein (such as GST-ORF3), followed by generation of monoclonal antibodies for detection and localization studies. Immunohistochemical staining can then be used to visualize protein expression in cellular contexts .
The contrast between viral and bacterial ORF3 proteins highlights the diverse functional roles these proteins can play in different biological contexts, from essential components of viral replication machinery to potentially specialized membrane functions in bacteria.
For comprehensive characterization of post-translational modifications (PTMs) in xpaL2, implement the following mass spectrometry-based strategy:
This comprehensive approach enables detection of both anticipated and unexpected modifications, providing insights into regulatory mechanisms affecting xpaL2 function.
To comprehensively characterize protein-protein interactions (PPIs) of xpaL2, employ a multi-technique strategy that addresses the challenges of membrane protein interaction analysis:
In Vitro Direct Binding Assays:
Pull-down assays using His-tagged xpaL2 as bait with potential interaction partners
Surface Plasmon Resonance (SPR) to determine binding kinetics and affinities
Isothermal Titration Calorimetry (ITC) for thermodynamic parameters of interactions
Proximity-Based Methods:
Bioluminescence Resonance Energy Transfer (BRET) with xpaL2 fused to NanoLuc and potential partners to YFP
Chemical cross-linking followed by MS (XL-MS) using MS-cleavable crosslinkers optimized for membrane environments
Proximity labeling approaches like BioID or APEX2 fusions to xpaL2 for in situ identification of interaction partners
Membrane-Specific Techniques:
Dual-polarization interferometry (DPI) for membrane-embedded interaction studies
Liposome-based co-flotation assays to verify interactions in membrane contexts
Native membrane nanodiscs for maintaining native-like environment during interaction studies
Systems-Level Approaches:
Affinity purification-mass spectrometry (AP-MS) with appropriate detergent solubilization
Membrane-specific yeast two-hybrid systems (such as MYTH)
Computational prediction combined with co-evolutionary analysis
Validation and Functional Assessment:
Co-localization studies using super-resolution microscopy
Functional assays measuring changes in membrane properties upon xpaL2-partner interactions
Mutational analysis targeting predicted interaction interfaces
This comprehensive approach addresses the technical challenges associated with membrane protein interactions while providing multiple lines of evidence for biologically relevant interactions.
Purifying active xpaL2 presents several technical challenges common to membrane proteins. Here are the most frequent issues and their solutions:
Low Expression Yield:
Problem: Membrane proteins often express poorly in standard systems.
Solution: Optimize expression by testing multiple E. coli strains (BL21(DE3), C41(DE3), C43(DE3)), lower induction temperatures (16-20°C), and reduced IPTG concentrations (0.1-0.5 mM). Consider specialized expression vectors with tunable promoters.
Protein Aggregation:
Problem: Hydrophobic regions promote aggregation during expression and purification.
Solution: Add stabilizing agents (glycerol 5-10%, specific lipids) to all buffers. Include mild detergents (DDM, LDAO) from cell lysis through final purification steps. Consider fusion partners that enhance solubility.
Poor Detergent Extraction:
Problem: Inefficient extraction from membranes.
Solution: Screen multiple detergents (DDM, LMNG, CHAPS) and detergent:protein ratios. Optimize extraction time (2-16 hours) and temperature (4°C vs. room temperature).
His-Tag Accessibility Issues:
Problem: The N-terminal His-tag may be partially buried or inaccessible.
Solution: Consider dual purification approaches combining IMAC with ion exchange or size exclusion chromatography. Alternative tag positions or cleavable tags may improve purification efficiency.
Protein Instability:
Problem: Rapid degradation after purification.
Solution: Include protease inhibitors in all buffers. Maintain cold chain throughout purification. Consider stabilizing the protein in nanodiscs or amphipols rather than detergent micelles for downstream applications.
Activity Loss During Storage:
Implementing these targeted solutions can significantly improve the yield and quality of purified xpaL2 protein for functional studies.
When facing contradictory results in xpaL2 functional studies, employ this systematic approach to reconcile discrepancies:
Experimental Design Analysis:
Review experimental designs using structured frameworks such as those outlined by Campbell and Stanley .
Evaluate internal validity threats including history effects, maturation, and instrumentation variations that might explain contradictory outcomes.
Assess external validity considerations like reactive testing effects or selection-treatment interactions that limit generalizability of findings.
Protein Preparation Variability:
Compare purification methodologies between contradictory studies, including:
Expression systems (E. coli strains, vectors)
Tag positions and lengths
Purification conditions (detergents, buffer compositions)
Storage conditions and protein age at time of experimentation
Reconciliation Strategies:
Direct Replication: Reproduce both contradictory protocols side-by-side in the same laboratory.
Parameter Space Mapping: Systematically vary experimental conditions to identify variables causing divergent results.
Multi-technique Verification: Apply orthogonal techniques to test the same functional hypothesis.
Computational Modeling: Develop models that might explain how different conditions could lead to diverse functional outcomes.
Statistical Considerations:
Re-analyze data using consistent statistical approaches across studies.
Consider Bayesian approaches to integrate prior information with new experimental data.
Evaluate whether sample sizes were adequate for the expected effect sizes.
Biological Context:
Consider whether xpaL2 might have multiple functions dependent on specific conditions.
Assess potential interaction partners present in some experimental systems but not others.
Evaluate whether post-translational modifications might differ between experimental setups.
This structured approach transforms contradictory results from obstacles into opportunities for deeper mechanistic understanding of xpaL2 function.