Protocol:
Use Case:
Advantages:
Example:
Protocol:
Relevance:
Visualizing ERGIC2 localization in ER-Golgi compartments or pathologically altered tissues.
ERGIC2, in conjunction with ERGIC3, regulates the trafficking of gap junction proteins (e.g., connexins) in C. elegans and mice. Knockout studies reveal:
Cardiac Dysfunction: Enlarged hearts and reduced gap junction protein levels in ERGIC2/ERGIC3-deficient mice .
Mechanism: ERGIC2 facilitates vesicle formation and cargo loading at the ER exit sites.
While not directly tested with ERGIC2 antibodies, biotinylated antibodies (e.g., trastuzumab) are used in universal CAR T cell therapies to target HER2+ tumors. Key observations:
Advantages: Soluble biotin-linked antibodies enable dynamic targeting of multiple antigens .
Challenges: Off-target binding to native biotin in lung tissues may limit safety .
| Vendor | Product Code | Reactivity | Applications | Conjugation | Price Range |
|---|---|---|---|---|---|
| Boster Bio | A10196 | Human, Mouse | WB, IHC | Not conjugated | ~$400–$600 |
| Abbexa | Biotin-conjugated | Human | ELISA | Biotin | ~$300–$500 |
| Antibodies-Online | ABIN2775870 | Human, Mouse, etc. | WB | Unconjugated (biotin option available) | ~$200–$400 |
Note: Prices are approximate and may vary based on volume and regional suppliers.
Cross-reactivity: Polyclonal antibodies may bind non-specific antigens. Pre-absorption with blocking peptides (e.g., Boster’s immunogen-derived peptide) can reduce background .
Biotinylation Efficiency: For non-conjugated antibodies, use kits like Lightning-Link® (ab201795) for rapid (<20 mins) biotinylation without purification .
ERGIC2 (ERGIC and Golgi 2) functions in the early secretory pathway between the endoplasmic reticulum (ER) and Golgi apparatus. It's an ortholog of the yeast protein Erv41 and forms complexes with ERGIC3 (ortholog of yeast Erv46) . These proteins cycle between the ER and Golgi, functioning as cargo receptors in both anterograde and retrograde protein trafficking pathways. ERGIC2 forms a heteromeric complex with ERGIC3, though unlike ERGIC3, ERGIC2 does not interact with itself . This complex plays a critical role in the trafficking of specific secretory proteins and contributes to protein quality control in the early secretory pathway.
Biotin-conjugated ERGIC2 antibody offers specific advantages over other conjugation types. While unconjugated ERGIC2 antibodies are widely used for Western blotting applications , biotin conjugation enables signal amplification through the strong biotin-streptavidin interaction, increasing detection sensitivity. According to available data, biotin-conjugated ERGIC2 antibodies are primarily developed for ELISA applications with human samples . Other conjugations include FITC-conjugated versions for direct fluorescence visualization and HRP-conjugated variants for direct enzymatic detection. The choice between these conjugations depends on the specific experimental needs, with biotin offering flexibility in detection strategies.
For ELISA applications using biotin-conjugated ERGIC2 antibody, researchers should follow this methodology:
Coat plates with capture antibody or antigen (depending on ELISA format)
Block with 5% skim milk in PBS buffer (or manufacturer-recommended blocking solution)
Add samples containing ERGIC2 protein
Incubate with biotin-conjugated ERGIC2 antibody at recommended dilution
Wash thoroughly to remove unbound antibody
Add streptavidin-HRP conjugate at appropriate dilution (typically 1:50,000-100,000)
Develop with suitable substrate and read at appropriate wavelength
Critical parameters include maintaining consistent temperature during incubations, thorough washing between steps, and including appropriate positive and negative controls. Researchers should optimize antibody concentration through titration experiments to determine the optimal signal-to-noise ratio for their specific experimental conditions.
Validating antibody specificity is crucial for reliable experimental outcomes. For biotin-conjugated ERGIC2 antibody, researchers should implement multiple validation strategies:
Perform Western blotting with the unconjugated version of the same antibody clone to confirm detection of bands at the expected molecular weight
Include ERGIC2 knockdown/knockout samples as negative controls
Verify cellular localization matches expected ER-Golgi intermediate compartment pattern
Conduct peptide competition assays using the immunizing peptide (aa252-301 for some commercial antibodies)
Perform cross-species validation if working with non-human samples
Compare results with alternative ERGIC2 antibodies from different sources
Verify signal absence when using secondary detection reagents alone
These validation steps are particularly important given ERGIC2's similarity to related trafficking proteins and potential cross-reactivity issues.
For optimal ERGIC2 detection in complex samples:
For cell lysates:
Use lysis buffer containing 50mM Tris-HCl (pH 7.4), 150mM NaCl, 1% NP-40 or Triton X-100, and protease inhibitor cocktail
Maintain samples at 4°C during processing
Clarify lysates by centrifugation (14,000g for 15 minutes at 4°C)
For tissue samples:
Homogenize thoroughly in appropriate buffer
Consider membrane fractionation to enrich for ERGIC2
For immunohistochemistry:
Implement antigen retrieval methods to expose epitopes
Block endogenous biotin using avidin/biotin blocking kit
Use appropriate permeabilization for this transmembrane protein
For all applications:
Include protease inhibitors to prevent degradation
Quantify and normalize protein concentrations
Process samples immediately or store appropriately (-80°C for long-term)
These preparation steps are critical for maintaining ERGIC2 integrity and accessibility to the antibody.
To investigate ERGIC2-ERGIC3 interactions using biotin-conjugated antibodies:
Design co-immunoprecipitation experiments:
Immunoprecipitate with biotin-conjugated ERGIC2 antibody
Capture complexes with streptavidin beads
Detect ERGIC3 in precipitated material using specific antibodies
Perform proximity ligation assays:
Use biotin-conjugated ERGIC2 antibody with primary ERGIC3 antibody
Apply appropriate PLA probes and detection reagents
Visualize interaction points as fluorescent signals
Controls must include:
Immunoprecipitation with non-specific antibodies
ERGIC3 knockdown validation
Pre-absorption controls
The search results indicate that ERGIC2 and ERGIC3 form a complex similar to yeast Erv41-Erv46 , making this interaction a key area for investigation. Researchers should account for potential confounding factors, such as detergent effects on membrane protein interactions.
Recent research shows that the E3 ubiquitin ligase MARCH2 regulates ERGIC3 through ubiquitination and subsequent degradation . This has important implications for ERGIC2 studies:
Since ERGIC2 and ERGIC3 form a complex, MARCH2-mediated degradation of ERGIC3 likely affects ERGIC2 stability and function
Researchers should examine:
Whether ERGIC2 levels change when MARCH2 is overexpressed or depleted
If ERGIC2 localization is altered when ERGIC3 is ubiquitinated
Whether ERGIC2-dependent trafficking is impaired when MARCH2 is activated
Experimental designs should include:
Analysis of ERGIC2 stability in cells expressing MARCH2
Comparison of ERGIC2-ERGIC3 interaction with wild-type vs. ubiquitination-resistant ERGIC3 mutants
Assessment of cargo protein trafficking in these various conditions
This regulatory mechanism represents an important control point for early secretory pathway function that researchers must consider when designing ERGIC2 studies .
High background is a frequent challenge when working with biotin-conjugated antibodies. Common causes and solutions include:
Endogenous biotin in samples:
Implement avidin/biotin blocking steps before antibody incubation
This is particularly important in biotin-rich tissues like liver and kidney
Non-specific binding:
Increase blocking concentration (5% BSA or 10% serum)
Add 0.1-0.3% Triton X-100 to blocking buffer
Extend blocking time from standard 1 hour to 2-3 hours
Excessive antibody concentration:
Perform antibody titration to determine optimal concentration
Diluting antibody in blocking buffer rather than wash buffer
Insufficient washing:
Increase number and duration of wash steps
Use gentle agitation during washing
Include 0.1-0.5% Tween-20 in wash buffer
Cross-reactivity:
Pre-absorb antibody with tissue/cell lysate from non-relevant species
Validate specificity as described in section 2.2
Addressing these issues systematically will improve signal-to-noise ratio in ERGIC2 antibody applications.
Biotin-conjugated ERGIC2 antibody can be strategically employed to investigate cargo trafficking:
For co-localization studies:
Use streptavidin-fluorophore detection of biotin-conjugated ERGIC2 antibody
Simultaneously label potential cargo proteins like α1-antitrypsin and haptoglobin
Quantify co-localization using appropriate statistical measures
For biochemical interaction analysis:
Use biotin-conjugated ERGIC2 antibody for pull-down experiments
Analyze co-precipitated proteins by mass spectrometry
Validate interactions with specific antibodies against suspected cargo
For functional studies:
Compare trafficking of cargo proteins in cells with normal vs. depleted ERGIC2
Use live-cell imaging to track movement of fluorescently-labeled cargo
Combine with ERGIC2 knockdown/re-expression experiments
Research indicates that α1-antitrypsin and haptoglobin are cargo proteins of the ERGIC system , making these ideal candidates for initial trafficking studies. Their secretion is regulated by the ERGIC complex and affected by MARCH2-mediated degradation of ERGIC3 .
Distinguishing direct ERGIC2 effects from indirect effects through ERGIC3 requires sophisticated approaches:
Molecular engineering strategies:
Create ERGIC2 mutants that maintain stability but disrupt ERGIC3 binding
Generate domain-swap chimeras to identify functional regions
Design separation-of-function mutations that affect specific activities
Advanced imaging approaches:
Employ super-resolution microscopy to precisely localize components
Use multi-color FRET to measure direct protein interactions
Implement RUSH (Retention Using Selective Hooks) system to synchronize cargo release
Biochemical methods:
Perform in vitro reconstitution with purified components
Conduct sequential immunodepletion experiments
Use crosslinking mass spectrometry to map interaction interfaces
Analytical considerations:
Apply mathematical modeling to distinguish direct vs. indirect effects
Implement time-resolved studies to establish causality
Use systems biology approaches to map interaction networks
The research indicates that ERGIC2 and ERGIC3 form complexes similar to their yeast counterparts , making it challenging but essential to disentangle their specific contributions.
ERGIC2's role in protein quality control remains partially characterized but can be investigated using biotin-conjugated antibodies:
Potential quality control mechanisms:
Recognition of properly folded cargo for anterograde transport
Return of misfolded proteins to the ER
Coordination with ER-associated degradation (ERAD) machinery
Experimental approaches:
Use biotin-conjugated ERGIC2 antibody to immunoprecipitate ERGIC2 complexes
Identify binding partners through mass spectrometry
Compare the fate of model misfolded proteins in ERGIC2-depleted vs. control cells
Analyze ERGIC2 distribution during ER stress responses
Key questions to address:
Does ERGIC2 directly bind misfolded proteins?
Does ERGIC2 recruit quality control machinery?
Is ERGIC2 function altered during unfolded protein response?
Technical considerations:
Use proper controls for specificity
Consider membrane protein solubilization methods
Address potential confounding effects of detergents
Elucidating ERGIC2's quality control function could provide insights into diseases associated with protein misfolding and trafficking defects.
Proper quantification and interpretation of ERGIC2 expression data requires rigorous methodology:
Quantification approaches:
For Western blot: Use normalized band intensity relative to loading controls
For immunofluorescence: Apply consistent thresholding and background subtraction
For flow cytometry: Report median fluorescence intensity with appropriate controls
Statistical analysis:
Use appropriate statistical tests based on data distribution
Include sufficient biological replicates (minimum n=3)
Report effect sizes along with p-values
Consider power analysis for sample size determination
Interpretation guidelines:
Compare results across multiple detection methods
Correlate protein levels with functional readouts
Consider post-translational modifications that might affect detection
Account for subcellular localization changes vs. total expression changes
Common pitfalls to avoid:
Overinterpreting small changes in expression
Failing to account for antibody saturation at high protein levels
Neglecting to normalize properly across experiments
Ignoring potential compensatory mechanisms
These quantitative approaches ensure reliable interpretation of ERGIC2 expression data.
When comparing ERGIC2 results across cell types, researchers should consider:
Baseline expression levels:
Different cell types naturally express varying levels of ERGIC2
Secretory cells typically show higher expression of trafficking machinery
Quantify relative expression before making functional comparisons
Trafficking pathway differences:
Specialized cell types have adapted secretory pathways
Rate-limiting steps may vary between cell types
Cargo proteins differ substantially between cell lineages
Experimental design adaptations:
Adjust antibody concentrations based on expression levels
Modify lysis conditions for different cell types
Consider cell type-specific markers as internal controls
Interpretation framework:
Establish whether observations are cell type-specific or general mechanisms
Correlate findings with physiological functions of each cell type
Consider evolutionary conservation of trafficking mechanisms
Technical considerations:
Account for differences in transfection efficiency
Address variability in growth rates and cell size
Validate antibody performance in each cell type
These considerations enable meaningful cross-cell-type comparisons in ERGIC2 research.
Integrating antibody-based ERGIC2 data with omics approaches provides comprehensive insights:
Multi-omics integration strategies:
Correlate protein expression (immunoblot) with transcriptomics (RNA-seq)
Link protein interactions (immunoprecipitation) with interactomics (mass spectrometry)
Connect localization (immunofluorescence) with spatial proteomics
Data integration approaches:
Use pathway enrichment analysis incorporating ERGIC2 interaction partners
Apply network analysis to place ERGIC2 in broader cellular contexts
Implement machine learning to identify patterns across datasets
Validation strategies:
Confirm key findings with orthogonal methods
Perform targeted follow-up on high-confidence interactions
Use CRISPR-based functional genomics to validate predicted relationships
Visualization and analysis tools:
Cytoscape for network visualization
STRING database for functional protein association networks
Gene Set Enrichment Analysis (GSEA) for pathway analysis
Perseus for proteomics data analysis
This integrated approach provides a systems-level understanding of ERGIC2 function in the early secretory pathway.