AGD15 Antibody targets ADP ribosylation factor (ARF) and functions as a GTPase-activating protein (GAP). It specifically recognizes the protein encoded by the At3g17660 gene. The antibody has several synonyms in scientific literature, including At3g17660 antibody, MKP6.22 Probable ADP-ribosylation factor GTPase-activating protein AGD15 antibody, ARF GAP AGD15 antibody, Protein ARF-GAP DOMAIN 15 antibody, and AtAGD15 antibody.
ARF proteins play crucial roles in membrane trafficking and vesicle formation in eukaryotic cells. By targeting these proteins, AGD15 Antibody enables researchers to study regulatory mechanisms involving GTPase activity that are essential for cellular function.
For optimal activity maintenance, AGD15 Antibody should be stored according to these guidelines:
Long-term storage: -20°C to -70°C for up to 12 months from receipt date
Medium-term storage: 2°C to 8°C under sterile conditions for up to 1 month after reconstitution
Extended storage post-reconstitution: -20°C to -70°C for up to 6 months under sterile conditions
To maintain antibody integrity, researchers should:
Use a manual defrost freezer
Store the antibody in buffer containing preservatives like 0.03% Proclin 300
Use buffer constituents such as 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
These storage guidelines parallel general monoclonal antibody handling protocols that help preserve antibody function and specificity for experimental applications.
Rigorous validation of AGD15 Antibody specificity should follow established protocols for antibody validation:
Expression systems validation:
Test antibody against lysates from systems expressing recombinant AGD15
Compare with negative controls lacking the target protein
Analyze protein bands at expected molecular weights
Cross-reactivity assessment:
Knockout/knockdown validation:
Compare signals between wild-type and AGD15-depleted samples
Quantify signal-to-noise ratios and establish statistical significance
Immunoprecipitation analysis:
Conduct pull-down assays followed by mass spectrometry
Identify and quantify target enrichment versus non-specific binding
Multiple detection methods:
For successful immunofluorescence experiments using AGD15 Antibody, researchers should follow this methodological framework:
Sample preparation:
Fix samples using 4% paraformaldehyde or other appropriate fixative
Permeabilize with 0.1-0.3% Triton X-100 to enable antibody access to intracellular targets
Perform antigen retrieval if necessary to expose epitopes
Blocking optimization:
Use 5-10% normal serum or BSA in PBS to minimize non-specific binding
Include 0.1% detergent in blocking solution to reduce background
Block for at least 1 hour at room temperature
Primary antibody incubation:
Determine optimal dilution through titration experiments (starting range: 1:100-1:1000)
Incubate at 4°C overnight for maximum sensitivity
Include appropriate negative controls (no primary antibody, isotype control)
Detection and visualization:
Use fluorescently labeled secondary antibodies specific to the host species of AGD15 Antibody
Include nuclear counterstain for contextual reference
Employ confocal microscopy for precise subcellular localization
Colocalization analysis:
Perform dual labeling with established organelle markers
Calculate Pearson's correlation coefficients for quantitative assessment
Generate intensity correlation plots to visualize spatial relationships
This approach provides robust visualization of AGD15 distribution while minimizing artifacts and non-specific signals.
Integrating AGD15 Antibody with mass spectrometry for interaction network analysis requires careful methodological planning:
Immunoprecipitation optimization:
Determine optimal buffer conditions that preserve protein-protein interactions
Test different lysis methods to maximize recovery while maintaining complex integrity
Establish appropriate antibody-to-lysate ratios through preliminary experiments
Control experiments:
Include IgG control immunoprecipitations to identify non-specific binders
Perform parallel experiments with samples lacking AGD15 expression
Use isotope labeling approaches (SILAC, TMT) for quantitative comparison
Sample processing:
Employ on-bead digestion to minimize sample loss
Consider crosslinking approaches to capture transient interactions
Implement peptide fractionation to increase proteome coverage
Mass spectrometry analysis:
Use high-resolution instruments for accurate protein identification
Implement both data-dependent and data-independent acquisition modes
Develop specific search parameters for post-translational modifications
Data analysis and validation:
Apply stringent statistical filters to distinguish true interactors from background
Validate key interactions through reciprocal immunoprecipitations
Perform functional studies on identified interaction partners
This integrated approach aligns with contemporary proteomics workflows used in antibody research and development .
When faced with discrepancies between AGD15 Antibody detection and mRNA expression, researchers should consider these analytical frameworks:
Biological regulation assessment:
Evaluate potential post-transcriptional regulation mechanisms
Consider protein stability and turnover rates
Assess the impact of post-translational modifications on epitope recognition
Technical validation:
Verify antibody specificity using multiple controls
Confirm mRNA measurements with alternative primers/probes
Test different antibody lots and storage conditions
Experimental design analysis:
Review temporal aspects (protein synthesis lag following transcription)
Consider spatial differences (subcellular compartmentalization)
Examine developmental or condition-specific regulatory mechanisms
Quantitative comparison:
| Analysis Method | Advantages | Limitations | Resolution Approach |
|---|---|---|---|
| Western blot | Direct protein detection | Semi-quantitative | Include loading controls and standard curves |
| qRT-PCR | High sensitivity for mRNA | Doesn't reflect protein | Use multiple reference genes |
| Proteomics | Unbiased detection | Complex sample preparation | Include spike-in standards |
| Microscopy | Spatial information | Subjective quantification | Apply automated image analysis |
Integrated data interpretation:
Develop mathematical models incorporating both datasets
Consider biological context and known regulatory mechanisms
Design validation experiments targeting specific hypotheses
This systematic approach helps researchers develop coherent explanations for apparent contradictions between transcript and protein levels.
To optimize Western blot performance with AGD15 Antibody, implement these methodological solutions:
Sample preparation optimization:
Include appropriate protease inhibitors to prevent target degradation
Use freshly prepared samples whenever possible
Determine optimal protein loading amount (typically 10-50 μg per lane)
Blocking protocol refinement:
Test different blocking agents (5% non-fat milk, 3-5% BSA, commercial blockers)
Optimize blocking time (1-3 hours at room temperature)
Consider adding 0.1-0.3% Triton X-100 to reduce hydrophobic interactions
Antibody incubation parameters:
Determine optimal antibody dilution through titration (typically 1:500-1:2000)
Transition from overnight 4°C to 2-hour room temperature incubation if background persists
Add 0.05-0.1% Tween-20 to antibody diluent
Washing optimization:
Increase washing stringency (more wash steps, longer duration)
Adjust salt concentration in wash buffers (150-500 mM NaCl)
Use fresh wash buffers for each experiment
Detection system selection:
Choose appropriate secondary antibody with minimal cross-reactivity
Optimize secondary antibody concentration
Consider alternative detection methods (chemiluminescence, fluorescence)
These approaches follow standard protocols for monoclonal antibody optimization in Western blot applications as outlined in antibody development guidelines .
When investigating native protein complexes with AGD15 Antibody, epitope masking can be addressed through these methodological approaches:
Sample preparation strategies:
Compare denaturing versus non-denaturing conditions
Test mild detergents that preserve protein interactions while enabling epitope access
Implement gentle lysis techniques to maintain complex integrity
Epitope accessibility methods:
Perform limited proteolysis to expose hidden epitopes
Test various antigen retrieval techniques (heat, pH, enzymatic)
Consider multiple antibodies targeting different epitopes
Alternative detection approaches:
Use proximity ligation assays to detect proteins in close spatial proximity
Implement crosslinking strategies prior to complex disruption
Apply super-resolution microscopy techniques for in situ detection
Controls and validation:
Include denatured samples as positive controls for epitope accessibility
Use tagged versions of the target protein as reference points
Perform reciprocal co-immunoprecipitation experiments
Experimental design optimization:
Compare results across multiple experimental conditions
Document the effects of different buffer compositions
Consider the temporal dynamics of complex formation
This comprehensive approach helps distinguish true biological phenomena from technical artifacts when studying protein complexes containing AGD15.
AGD15 Antibody provides valuable insights into GTPase regulatory networks through these methodological applications:
For tissue-specific expression studies using AGD15 Antibody, researchers should implement these methodological strategies:
Tissue preparation optimization:
Adjust fixation protocols based on tissue type (duration, fixative composition)
Optimize sectioning techniques to preserve tissue architecture
Implement appropriate antigen retrieval methods for each tissue type
Background reduction strategies:
Block endogenous peroxidase activity for IHC applications
Use tissue-specific blocking agents to reduce non-specific binding
Include appropriate negative controls for each tissue type
Signal detection calibration:
Determine optimal antibody concentration for each tissue
Adjust incubation times based on tissue penetration requirements
Select detection systems with appropriate sensitivity for expected expression levels
Quantification approaches:
Develop tissue-specific scoring systems
Implement digital image analysis for objective quantification
Use multi-parameter analysis to correlate with other markers
Validation with complementary techniques:
Compare immunohistochemistry results with Western blot data
Correlate with in situ hybridization for mRNA localization
Validate with tissue samples from genetic models with altered expression This comprehensive approach ensures reliable detection of tissue-specific expression patterns while minimizing artifacts and misinterpretation of results.