ALK-7 (gene: ACVR1C) is a glycosylated 58 kDa type I receptor involved in lipid metabolism and energy balance regulation. Antibodies against ALK-7 are tools for research and therapeutic development, primarily targeting its extracellular or cytoplasmic domains .
Format: Recombinant monoclonal antibodies (e.g., clone 1N5 ZooMAb®) typically use rabbit or mouse IgG frameworks .
Epitopes:
Comprises a cysteine-rich extracellular domain, transmembrane region, and intracellular serine/threonine kinase domain .
Obesity Models: Neutralizing ALK-7 antibodies reduced adipose mass by 25–40% in diet-induced obese mice, improving glucose tolerance (AUC reduction: 15–20%) .
Lipolysis: Increased fatty acid oxidation in muscle (+30% oxygen consumption) and reduced hepatic triglycerides (−50% after long-term treatment) .
Antibody blockade downregulates S100A8/A9 release from adipocytes, inhibiting NLRP3/IL-1β activation in adipose tissue macrophages (ATMs) .
Reduces GDF3 production in ATMs, disrupting pro-inflammatory signaling .
Cross-Reactivity:
Validation:
ASK7 (Arabidopsis SKP1-like 7) is a protein found in Arabidopsis thaliana that functions as part of the SCF (Skp1-Cullin-F-box) ubiquitin ligase complex, which plays critical roles in protein degradation pathways essential for plant development and environmental responses. The ASK7 protein participates in ubiquitin-mediated proteolysis, a fundamental cellular process that regulates numerous aspects of plant growth, development, and stress responses. Antibodies against ASK7 enable researchers to detect, quantify, and localize this protein in experimental systems, providing insights into plant molecular signaling networks .
For Western blotting applications using ASK7 rabbit polyclonal antibody with Arabidopsis thaliana samples, the recommended dilution range is 1:50 to 1:200 . This relatively concentrated dilution range suggests the antibody may have moderate affinity or the target protein might be expressed at relatively low levels. Researchers should optimize the dilution for their specific experimental conditions by testing serial dilutions and considering factors such as protein concentration, detection method sensitivity, and incubation times.
The ASK7 rabbit polyclonal antibody has been validated for use with samples derived from Arabidopsis thaliana . Appropriate sample types include total protein extracts, subcellular fractions, immunoprecipitates, and potentially recombinant proteins from Arabidopsis expression systems. When preparing samples, researchers should consider using protease inhibitors to prevent degradation of the target protein and optimize extraction buffers to maintain protein integrity and native conformation.
For maintaining optimal activity, antibodies like the ASK7 rabbit polyclonal should be stored according to manufacturer recommendations. Generally, primary antibodies are stored at -20°C for long-term storage, with working aliquots kept at 4°C to minimize freeze-thaw cycles. Proper handling includes avoiding repeated freeze-thaw cycles, using sterile technique when preparing aliquots, and storing in appropriate buffers that may contain stabilizing proteins or preservatives. Short-term storage at 4°C is typically suitable for a few weeks, while long-term storage at -20°C or -80°C preserves activity for months to years.
When evaluating ASK7 antibody specificity, researchers should implement rigorous controls to assess potential cross-reactivity, particularly since polyclonal antibodies may recognize multiple epitopes. A comprehensive approach includes:
Negative controls using samples from ASK7 knockout/knockdown lines
Peptide competition assays where the antibody is pre-incubated with excess antigen
Western blotting against recombinant ASK7 protein alongside total protein extracts
Analysis of multiple plant tissues with varying ASK7 expression levels
To optimize Western blot detection of ASK7 using the rabbit polyclonal antibody, researchers should consider implementing the following protocol refinements:
| Parameter | Standard Condition | Optimization Considerations |
|---|---|---|
| Sample preparation | Standard lysis buffer | Add phosphatase/protease inhibitors; optimize buffer pH and detergent concentration |
| Protein amount | 20-50 μg/lane | Test range from 10-100 μg depending on expression level |
| Gel percentage | 10-12% | Adjust based on ASK7 molecular weight (~20-25 kDa) |
| Transfer conditions | Standard transfer | Optimize time/voltage based on protein size |
| Blocking solution | 5% milk or BSA | Test both to determine optimal background reduction |
| Primary antibody dilution | 1:50 to 1:200 | Titrate within and beyond this range |
| Incubation time | Overnight at 4°C | Test shorter durations at room temperature vs. overnight at 4°C |
| Detection method | Standard ECL | Consider enhanced sensitivity methods for low abundance |
Similar to the methodical approach used in validating antibodies for specific detection of proteins like AR-V7 , researchers should systematically test these parameters to determine optimal conditions for ASK7 detection while monitoring signal-to-noise ratio throughout the optimization process.
For protein interaction studies using ASK7 antibody in immunoprecipitation experiments, researchers should consider the following optimization strategies:
Pre-clear lysates to reduce non-specific binding
Optimize antibody concentration (typically 2-5 μg per mg of total protein)
Test different bead types (Protein A/G, magnetic vs. agarose)
Evaluate various washing stringencies to balance specific signal retention with background reduction
Consider crosslinking the antibody to beads to prevent antibody co-elution
Use appropriate negative controls (non-immune IgG, ASK7-knockout samples)
When analyzing results, particularly when investigating protein-protein interactions within the SCF complex, researchers should be mindful that interactions may be transient or condition-dependent, requiring stabilization approaches such as crosslinking or detergent optimization. Quantitative analysis of immunoprecipitation results can be enhanced by normalization to input samples and careful validation of interacting partners through reciprocal immunoprecipitation.
When integrating ASK7 antibody detection with other methods to study ubiquitin-mediated pathways, researchers should consider:
Complementary approaches to validate interactions (yeast two-hybrid, proximity ligation assays)
Temporal considerations in experimental design to capture dynamic ubiquitination events
Inhibitor treatments to stabilize otherwise transient interactions (proteasome inhibitors)
Controls for ubiquitination status (ubiquitin antibodies, deubiquitinase inhibitors)
Genetic approaches (mutants, overexpression lines) to validate antibody-based findings
This multi-technique approach resembles the comprehensive methodology described for simultaneous target discovery and antibody generation in research contexts , where integration of multiple experimental approaches provides more robust and reliable data than any single method alone.
When confronting contradictory results using ASK7 antibody across different experimental conditions, consider implementing the following systematic troubleshooting approach:
Antibody validation: Re-confirm antibody specificity using knockout/knockdown controls and recombinant protein standards
Protocol standardization: Document and control all experimental variables (buffer composition, incubation times, temperatures)
Sample preparation variations: Assess if differential extraction methods affect protein conformation or complex integrity
Post-translational modifications: Investigate if modifications alter epitope recognition under different conditions
Environmental influences: Evaluate if growth conditions, stress treatments, or developmental stages affect ASK7 expression or localization
Technical replication: Increase biological and technical replicates to assess variability
Alternative antibodies: When possible, utilize alternative antibodies targeting different epitopes of ASK7
Similar to the comparative antibody evaluation approach demonstrated in AR-V7 detection research , systematically evaluating each variable can help identify sources of contradictory results and determine whether they represent true biological phenomena or technical artifacts.
A comprehensive set of controls for ASK7 antibody immunoblotting should include:
Positive control: Recombinant ASK7 protein or samples with confirmed ASK7 expression
Negative control: Samples from ASK7 knockout/knockdown plants or tissues known not to express ASK7
Loading control: Detection of a housekeeping protein (e.g., actin, tubulin) to normalize expression
Antibody specificity control: Pre-incubation of antibody with immunizing peptide to block specific binding
Secondary antibody control: Omitting primary antibody to assess non-specific binding of secondary antibody
Molecular weight marker: To confirm detection at expected molecular weight
Treatment controls: Appropriate vehicle controls for any treatments that may affect ASK7 expression
This systematic approach to controls is consistent with best practices in antibody validation demonstrated in publications examining antibody specificity and sensitivity , ensuring that experimental outcomes can be interpreted with confidence.
For quantitative analysis of ASK7 expression across experimental conditions, researchers should implement:
Standardized protein quantification: Use reliable methods (BCA, Bradford) to ensure equal loading
Normalization strategies: Express ASK7 signal relative to housekeeping proteins or total protein stains
Linear detection range: Validate that signal intensity falls within the linear range of detection
Technical replicates: Include multiple technical replicates for statistical robustness
Image acquisition optimization: Use appropriate exposure settings to avoid saturation
Quantification software: Utilize specialized software for densitometric analysis
Statistical analysis: Apply appropriate statistical tests to determine significance of differences
| Analysis Parameter | Recommendation | Rationale |
|---|---|---|
| Normalization method | Total protein stain or multiple housekeeping proteins | Reduces bias from variability in individual reference proteins |
| Replication | Minimum 3 biological replicates | Accounts for biological variability |
| Quantification | Integrated density measurements | Accounts for both area and intensity of bands |
| Statistical approach | ANOVA with post-hoc tests | Appropriate for multiple condition comparisons |
| Reporting | Include both raw and normalized data | Provides transparency in analysis |
This quantitative approach ensures rigorous analysis similar to methodologies employed in antibody characterization studies .
While the ASK7 antibody information primarily indicates Western blot applications , researchers interested in subcellular localization studies might consider adapting the antibody for immunofluorescence microscopy through careful validation. Advanced microscopy techniques potentially compatible with ASK7 antibody include:
Confocal microscopy: For high-resolution imaging of ASK7 localization within plant cells
Super-resolution microscopy (STED, STORM, PALM): For nanoscale resolution of ASK7 distribution
Proximity ligation assay (PLA): For detecting ASK7 interactions with other proteins in situ
Fluorescence resonance energy transfer (FRET): For studying ASK7 protein-protein interactions
Correlative light and electron microscopy (CLEM): For correlating ASK7 localization with ultrastructural features
Live-cell imaging: Using fluorescently tagged ASK7 to complement antibody-based fixed cell imaging
For each technique, researchers should:
Validate antibody specificity in immunocytochemistry applications
Optimize fixation and permeabilization conditions for plant cells
Include appropriate controls (peptide competition, secondary-only, known localization markers)
Consider dual labeling with organelle markers to confirm subcellular compartmentalization
These advanced imaging approaches provide spatial context to biochemical data, enhancing understanding of ASK7 function in plant cellular processes.
Recent advances in AI-driven protein design, such as RFdiffusion, offer promising approaches for developing next-generation ASK7 antibodies with enhanced specificity and sensitivity. Implementation strategies include:
Epitope optimization: Using AI algorithms to identify optimal ASK7 epitopes with high immunogenicity and specificity
Antibody structure prediction: Employing models like RFdiffusion to design antibody complementarity-determining regions (CDRs) with improved binding characteristics
Humanization for mammalian expression: Adapting plant-reactive antibodies for production in mammalian systems
Affinity maturation in silico: Computational screening of antibody variants before experimental validation
Format diversification: Designing single-chain variable fragments (scFvs) or nanobodies as alternatives to conventional antibodies
Similar to approaches described for antibody design using RFdiffusion , these AI-based methods could enhance ASK7 antibody performance by designing antibody loops—the flexible regions responsible for binding—with improved specificity and affinity. This would enable development of antibodies that can detect ASK7 with higher sensitivity, potentially expanding applications beyond Western blotting to include immunoprecipitation, ChIP-seq, or immunofluorescence.
When encountering weak or absent signals with ASK7 antibody in Western blotting, researchers should systematically troubleshoot using this decision tree approach:
Protein extraction and loading:
Increase protein concentration (50-100 μg total protein)
Verify protein transfer efficiency with reversible staining
Ensure appropriate sample preparation (fresh extraction, protease inhibitors)
Antibody conditions:
Use higher antibody concentration (try 1:25 dilution)
Extend primary antibody incubation (overnight at 4°C)
Test fresh antibody aliquot to rule out degradation
Detection sensitivity:
Switch to more sensitive detection system (enhanced chemiluminescence)
Increase exposure time during imaging
Consider signal amplification methods
Biological considerations:
Verify ASK7 expression in selected tissue/condition
Consider treatments that might upregulate ASK7 expression
Evaluate developmental stage appropriateness
This systematic approach parallels the rigorous troubleshooting methodology applied in antibody validation studies for challenging targets , helping researchers isolate and address specific factors affecting detection.
To reduce non-specific binding with ASK7 polyclonal antibody, researchers should implement these optimization strategies:
Blocking optimization:
Test alternative blocking agents (5% BSA, 5% milk, commercial blockers)
Extend blocking time (2-3 hours at room temperature)
Add 0.1-0.3% Tween-20 to blocking solution
Washing optimization:
Increase washing duration and frequency
Test different detergent concentrations in wash buffer
Consider alternative detergents (Triton X-100, NP-40)
Antibody conditions:
Pre-absorb antibody with plant extract from unrelated species
Dilute antibody in blocking buffer with 0.1% Tween-20
Filter antibody solution before use
Sample preparation:
Include additional clearing steps in sample preparation
Test alternative extraction buffers
Consider subcellular fractionation to enrich for target compartment
This approach aligns with strategies employed in antibody validation studies that emphasize the importance of optimizing conditions to achieve specific signal with minimal background .
A rigorous approach to validating ASK7 antibody specificity using genetic controls involves:
Genetic material preparation:
Obtain or generate ASK7 T-DNA insertion lines or CRISPR/Cas9 knockout lines
Develop RNAi or amiRNA knockdown lines with varying degrees of ASK7 reduction
Create complementation lines reintroducing ASK7 into knockout background
Validation experimental design:
Extract protein from wild-type, knockout/knockdown, and complemented lines
Process all samples identically
Load equal amounts of total protein
Probe with ASK7 antibody and control antibodies
Expected outcomes for specific antibody:
Strong signal in wild-type at expected molecular weight
Absent signal in knockout line
Reduced signal in knockdown lines proportional to knockdown efficiency
Restored signal in complementation line
Quantitative analysis:
Perform densitometric analysis
Normalize to loading controls
Calculate signal reduction percentages
Documentation:
Record complete methodological details
Include all validation data in publications
Note any unexpected bands or patterns
This validation approach follows principles similar to those employed in studies that carefully assessed antibody specificity using genetic controls and complementary techniques .
Integrating ASK7 antibody into phospho-proteomics workflows enables investigation of post-translational modifications affecting SCF complex function. Implementation strategies include:
Sequential immunoprecipitation workflow:
First IP: Enrich ASK7 using validated antibody
Elution: Gentle conditions to maintain PTMs
Second IP: Enrich with phospho-specific antibodies
MS analysis: Identify phosphorylation sites
Phosphatase treatment controls:
Split samples for +/- phosphatase treatment
Compare ASK7 detection patterns
Identify mobility shifts indicative of phosphorylation
2D gel electrophoresis application:
Separate proteins by isoelectric point and molecular weight
Transfer and probe with ASK7 antibody
Identify different ASK7 isoforms by position
Enrichment strategy integration:
Combine TiO₂ or IMAC phosphopeptide enrichment with ASK7 immunoprecipitation
Apply targeted mass spectrometry to identify ASK7 phosphopeptides
Quantify changes in phosphorylation under different conditions
This integrative approach draws on principles similar to those used in comprehensive protein characterization studies , providing deeper insights into ASK7 regulation through post-translational modifications.
While the ASK7 antibody is primarily validated for Western blotting , researchers interested in exploring potential chromatin associations through ChIP should consider:
Antibody suitability assessment:
Verify antibody specificity in IP experiments before ChIP
Test fixation compatibility (formaldehyde crosslinking may mask epitopes)
Determine optimal antibody concentration for chromatin capture
Experimental design considerations:
Include appropriate positive controls (known SCF-associated regions)
Use negative controls (transcriptionally inactive regions)
Include input normalization and IgG control immunoprecipitations
Consider spike-in normalization for quantitative comparisons
Protocol optimization:
Test different crosslinking conditions (time, concentration)
Optimize sonication parameters for ideal fragment size
Evaluate different washing stringencies
Consider native ChIP alternatives if crosslinking reduces efficiency
Validation approaches:
Confirm enrichment by qPCR before sequencing
Validate findings with orthogonal methods (e.g., reporter assays)
Consider sequential ChIP to identify co-occupancy with other factors
This methodical approach to applying antibodies in new experimental contexts draws on principles of careful validation and optimization described in antibody characterization literature .
Innovative applications of ASK7 antibody in biosensor development could include:
Antibody-based biosensor platforms:
Surface plasmon resonance (SPR) sensors for real-time ASK7 detection
Quartz crystal microbalance (QCM) devices for quantitative measurements
Electrochemical impedance spectroscopy (EIS) sensors for field applications
Lateral flow immunoassays for rapid screening
Engineering considerations:
Antibody immobilization strategies (oriented coupling via Fc region)
Surface chemistry optimization (self-assembled monolayers, polymer brushes)
Signal amplification methods (nanomaterials, enzymatic reactions)
Sample preparation for plant extracts
Application scenarios:
Monitoring ASK7 expression as biomarker for plant stress responses
High-throughput screening of mutant collections
Environmental monitoring of plant responses to field conditions
Quality control in agricultural biotechnology
Validation requirements:
Determine detection limits and dynamic range
Assess matrix effects from plant extracts
Establish reproducibility across biological replicates
Compare with established quantification methods
These innovative applications build on emerging technologies for antibody-based diagnostics and monitoring systems while adapting them to plant science applications, drawing inspiration from rapid methodologies developed for other research contexts .
Building on recent advances in AI-driven protein design like RFdiffusion , future ASK7 antibody development could benefit from:
Enhanced epitope targeting:
Computational identification of highly specific ASK7 epitopes distinct from other ASK family proteins
Design of antibodies with reduced cross-reactivity to related proteins
Creation of conformation-specific antibodies for detecting functional states
Performance optimization:
Fine-tuning binding affinity for different applications
Designing antibodies compatible with multiple techniques (WB, IP, IF, ChIP)
Engineering temperature and buffer stability for robust performance
Novel formats development:
Single-domain antibodies for enhanced tissue penetration
Bi-specific antibodies to simultaneously detect ASK7 and interaction partners
Antibody fragments with improved recombinant production
Validation approaches:
Rigorous testing against panels of ASK family proteins
Comparison with conventional antibodies using standardized assays
Structural validation of antibody-antigen complexes
Recent breakthroughs in using RFdiffusion to design human-like antibodies suggest that computational approaches could revolutionize the development of research antibodies with unprecedented specificity and versatility for challenging research applications.
Emerging technologies that could complement traditional antibody-based ASK7 detection include:
Proximity-based protein detection:
APEX2-based proximity labeling to identify ASK7 interaction networks
BioID approaches for mapping ASK7 protein neighborhoods
Split-protein complementation assays for studying dynamic interactions
Advanced imaging techniques:
Expansion microscopy for enhanced resolution of ASK7 localization
Light-sheet microscopy for 3D visualization in intact tissues
Single-molecule tracking to monitor ASK7 dynamics in living cells
Genetic tagging strategies:
CRISPR knock-in of epitope or fluorescent tags at endogenous loci
Nanobody-based detection of tagged ASK7 in living systems
Degron-based systems for studying ASK7 function through rapid depletion
High-throughput phenotyping:
Automated image analysis of ASK7-dependent phenotypes
Single-cell transcriptomics correlated with ASK7 protein levels
Plant phenomics approaches for field-scale assessment of ASK7 function
These complementary approaches, drawing inspiration from rapid methodological developments in related fields , could provide multimodal insights into ASK7 biology beyond what antibody-based detection alone can achieve.