Recombinant Mouse Synaptophysin-like protein 2 (Sypl2), also known as Mitsugumin 29 (MG29), is a transmembrane protein critical for calcium signaling and excitation-contraction coupling in skeletal muscle. It belongs to the synaptophysin/synaptobrevin family and shares structural homology with synaptic vesicle proteins. Recombinant Sypl2 is engineered for research purposes, enabling functional studies on its role in muscle physiology and disease contexts, including cancer.
Sypl2 regulates intracellular calcium homeostasis by interacting with ryanodine receptors (RyR) and influencing store-operated calcium entry (SOCE). Its dysfunction is linked to muscle fatigue and structural defects in triad junctions .
Recombinant Sypl2 is used to:
Investigate Calcium Signaling: Co-expression with RyR in vitro models induces apoptosis via calcium depletion, mimicking muscle fatigue .
Assess Drug Targets: Evaluates interactions with anti-cancer therapies (e.g., bevacizumab) in colorectal cancer (CRC) models .
Synaptophysin-like protein 2 (Sypl2) belongs to the synaptophysin family, which includes Synaptophysin (SYP) and Synaptophysin 2 (Synaptoporin/SYNPR). While sharing structural similarities, these proteins have distinct expression patterns and functions:
Synaptophysin (SYP): A major synaptic vesicle protein p38 that is ubiquitously expressed throughout neuronal tissues. It is involved in organizing membrane components and targeting vesicles to the plasma membrane. This protein also regulates short-term and long-term synaptic plasticity .
Synaptophysin 2 (Synaptoporin/SYNPR): Primarily concentrated in the mossy fiber synapses of the hippocampus, unlike the ubiquitously expressed Synaptophysin 1. It functions as a component of the synaptic vesicle membrane and plays an important role in synaptic vesicle trafficking .
Synaptophysin-like protein 2 (Sypl2): Often expressed in non-neuronal tissues, particularly in muscle, demonstrating its specialized functions outside the central nervous system.
The primary structural difference lies in the C-terminal regions, which show the greatest sequence divergence among family members, making this region ideal for antibody targeting for specific detection.
To maintain stability of recombinant mouse Sypl2:
Temperature: Storage at -20°C is recommended for long-term preservation .
Buffer composition: Optimal buffer consists of 10 mM HEPES (pH 7.5), 150 mM NaCl, 100 μg per ml BSA, and 50% glycerol .
Aliquoting: Prepare small aliquots to avoid repeated freeze-thaw cycles, as the presence of 50% glycerol allows taking aliquots without complete thawing .
Stability duration: When properly stored, recombinant Sypl2 remains stable for at least 1 year at -20°C .
| Storage Parameter | Recommended Condition | Notes |
|---|---|---|
| Temperature | -20°C | For long-term storage |
| Buffer | 10 mM HEPES (pH 7.5), 150 mM NaCl, 100 μg/ml BSA, 50% glycerol | Glycerol acts as cryoprotectant |
| Shipping condition | Blue Ice | For maintaining cold chain |
| Stability period | At least 1 year | At recommended storage conditions |
Based on experimental protocols for synaptophysin family proteins, the following dilutions are recommended:
When working with anti-Synaptophysin 2 antibodies, which are structurally similar to Sypl2, researchers should validate specificity as these antibodies are designed to detect endogenous levels of the ~38 kDa protein .
When designing expression systems for recombinant mouse Sypl2, researchers should consider:
Advantages: Proper post-translational modifications and protein folding
Cell lines: HEK293 or CHO cells typically yield functional membrane proteins
Vector design: Include a signal peptide sequence to ensure proper membrane insertion
Purification tags: N-terminal tags are preferable as they generally interfere less with membrane insertion
Limitations: As a membrane protein, Sypl2 may form inclusion bodies in E. coli
Solutions: Use specialized strains designed for membrane protein expression
Solubility enhancement: Consider fusion with solubility-enhancing tags like MBP or SUMO
The choice between expression systems should be guided by the intended application, with mammalian systems generally preferred for functional studies.
Distinguishing between synaptophysin family members requires careful selection of detection methods:
Use antibodies generated against unique C-terminal peptide sequences, as employed for Synaptophysin 2
Perform antibody validation using tissues known to differentially express family members
Include appropriate controls when performing Western blot or immunohistochemistry
Design primers targeting regions with minimal sequence homology
Validate primer specificity using recombinant standards for each family member
Perform melt curve analysis to confirm amplification of a single product
Molecular weight: Sypl2 (~38 kDa) may be distinguished from other family members by precise SDS-PAGE analysis
Expression patterns: Utilize tissue-specific expression differences (e.g., Synaptophysin 2 is concentrated in mossy fiber synapses of the hippocampus)
For genetic association studies involving Sypl2:
Design studies to identify genetic variants associated with Sypl2 expression
Use liver samples for eQTL studies, as previously demonstrated for SYPL2 expression analysis
Consider conditional analysis on top eQTL-associated SNPs (e.g., rs2359653 has been identified in SYPL2 studies)
Apply Bayesian tests for colocalization between pairs of genetic associations
Utilize stepwise regression strategies to reveal secondary association signals
Implement quality control methods like DENTIST to detect and eliminate errors in GWAS or LD reference data
Plot -log10(p) association values against chromosomal position
Create separate plots for Sypl2 expression and phenotypic traits of interest
Generate conditional p-value plots to identify independent signals
When investigating protein interactions involving Sypl2:
Use purified recombinant Sypl2 as bait in pull-down assays
Conduct co-immunoprecipitation experiments in relevant tissue/cell lysates
Apply crosslinking approaches to capture transient interactions
Develop reporter assays to measure impact of interactions on cellular processes
Utilize mutagenesis to identify specific binding domains
Perform competitive binding assays to determine binding affinities
Apply mass spectrometry to identify novel interaction partners
Use proximity labeling techniques to capture the Sypl2 interactome in living cells
Validate findings with orthogonal methods like in situ proximity ligation assays
For tissue-specific expression studies:
Collect multiple tissue types from the same experimental animals to control for individual variation
Preserve samples appropriately for both protein and RNA extraction
Consider developmental timepoints, as expression patterns may change during development
For protein: Western blotting with antibody dilution of 1:1000
For mRNA: qRT-PCR with validated Sypl2-specific primers
For localization: Immunohistochemistry with antibody dilution of 1:100
Include samples from tissues known to express Sypl2 at different levels
Use multiple housekeeping genes/proteins for normalization
Validate findings using multiple detection methods
When facing inconsistent results:
Antibody cross-reactivity with other synaptophysin family members
Differences in sample preparation affecting epitope accessibility
Variations in quantification methods and normalization approaches
Compare results using multiple antibodies targeting different epitopes
Validate antibody specificity using recombinant standards
Implement multiple detection methods (protein, mRNA, activity)
Perform spike-in controls with recombinant Sypl2 to calibrate detection sensitivity
Apply multiple regression models to identify variables affecting detection
Use Bland-Altman plots to visualize systematic differences between methods
Consider meta-analysis approaches when integrating data from multiple sources
Common challenges and solutions include:
| Challenge | Cause | Solution |
|---|---|---|
| Low expression yield | Membrane protein nature | Optimize codon usage; use specialized expression hosts |
| Protein aggregation | Improper folding | Include stabilizing agents; optimize purification conditions |
| Loss of function | Denaturation during purification | Use mild detergents; maintain cold chain throughout |
| Poor antibody recognition | Conformational epitopes | Use multiple antibodies; consider non-denaturing detection methods |
| Non-specific interactions | Cross-reactivity | Perform competition assays; increase stringency of wash buffers |
For genomic data analysis:
Apply DENTIST methodology to leverage LD among genetic variants and eliminate errors in GWAS or LD reference data
Evaluate heterogeneity between GWAS and LD reference samples
Filter variants based on imputation quality and minor allele frequency
Use conditional analysis to identify independent signals associated with Sypl2 expression
Apply colocalization testing to determine if the same variant affects both expression and phenotype
Consider linkage disequilibrium when interpreting nearby genetic associations
Evaluate both cis and trans regulatory effects on Sypl2 expression
Consider tissue-specific eQTL effects, as demonstrated in liver samples
Integrate findings with other omics data for comprehensive understanding
Novel research approaches that may enhance understanding of Sypl2 include:
Super-resolution microscopy to visualize Sypl2 localization at the nanoscale
Live-cell imaging with fluorescently tagged Sypl2 to track dynamics in real-time
Correlative light and electron microscopy to relate function to ultrastructure
CRISPR-Cas9 modification of endogenous Sypl2 with reporter tags
Creation of conditional knockout models for tissue-specific functional analysis
Base editing for introducing specific mutations to study structure-function relationships
Multi-omics approaches combining genomics, transcriptomics, and proteomics
Network analysis to position Sypl2 within relevant cellular pathways
Mathematical modeling of Sypl2 contributions to cellular functions
Strategic experimental design is crucial for functional differentiation:
Parallel analysis of multiple family members across tissues and developmental stages
Creation of comprehensive expression atlases with spatial and temporal resolution
Correlation of expression patterns with functional readouts
Knockout of individual family members followed by rescue with others
Expression of chimeric proteins to identify functional domains
Conditional expression systems to control timing and levels of expression
Comparative interactomics to identify shared and unique binding partners
Competition assays to determine relative binding affinities
Structural studies to elucidate binding interfaces