The At1g58090 gene encodes a putative F-box protein, part of the SKP1-Cullin-F-box (SCF) ubiquitin ligase complex involved in:
Protein ubiquitination pathways
Cellular protein turnover regulation
Plant development processes
While detailed functional studies of At1g58090 remain limited, F-box proteins generally play crucial roles in phytohormone signaling and stress responses in plants .
Available validation data indicates:
Successfully detects recombinant At1g58090 protein in controlled experiments
Requires validation by researchers for specific experimental conditions
No independent peer-reviewed studies confirming specificity currently available
Notably, commercial documentation lacks information about:
Typical experimental uses include:
Detects ~43 kDa band corresponding to predicted protein size
Requires optimization of protein loading quantities
Suggested blocking buffer: 5% non-fat dry milk in TBST
Potential use for protein interaction studies
Recommended coupling with Protein A/G agarose beads
No published validation in knockout Arabidopsis models
Specificity confirmation required for each experimental system
Batch-to-batch variability inherent in polyclonal preparations
Limited application notes compared to widely-used antibodies
Researchers should perform:
Positive controls using recombinant protein
Negative controls with pre-immune serum
Current manufacturer offerings include:
The At1g58090 gene encodes a putative F-box protein that functions as part of the SKP1-Cullin-F-box (SCF) ubiquitin ligase complex in Arabidopsis thaliana. This protein plays critical roles in:
Cellular protein ubiquitination pathways
Regulation of protein turnover mechanisms
Various plant development processes
As an F-box protein, At1g58090 likely contributes to phytohormone signaling and stress response pathways, though detailed functional characterization studies remain limited in the current literature. The protein has a predicted molecular weight of approximately 43 kDa, which corresponds to the band typically detected in Western blot experiments using the At1g58090 antibody.
The At1g58090 antibody has been validated for several experimental applications, though researchers should conduct their own validation for specific experimental conditions:
ELISA (Enzyme-Linked Immunosorbent Assay)
Western Blot (WB) for identification of target antigen
Proper storage and handling are essential for maintaining antibody functionality:
Upon receipt, store at -20°C or -80°C to preserve activity
Avoid repeated freeze-thaw cycles that can degrade antibody quality
The antibody is typically provided in liquid form with specific buffer composition:
For long-term storage planning, researchers should note the antibody is produced as "made-to-order" with a typical lead time of 14-16 weeks, requiring advance planning for experimental continuity .
Comprehensive validation is essential before using the At1g58090 antibody in key experiments:
Positive controls: Test against recombinant At1g58090 protein to confirm detection capability
Negative controls: Include pre-immune serum controls to assess non-specific binding
Knockout validation: Ideally, confirm specificity using At1g58090 knockout Arabidopsis models (though published validation using this approach is currently limited)
Cross-reactivity assessment: Test against related F-box proteins to evaluate potential cross-reactivity
Concentration optimization: Perform titration experiments to determine optimal antibody concentration (similar to approaches used for oligo-conjugated antibodies)
Remember that the polyclonal nature of the At1g58090 antibody preparation introduces inherent batch-to-batch variability, making validation for each new lot particularly important.
While specific protocols may require optimization for individual experimental systems, a baseline Western blot protocol for At1g58090 detection includes:
Sample preparation:
Extract total protein from Arabidopsis tissue using standard extraction buffer
Determine protein concentration (Bradford or BCA assay)
Load adequate protein (typically ≥20 μg total protein) to detect the ~43 kDa target
Gel electrophoresis and transfer:
Separate proteins on 10-12% SDS-PAGE gel
Transfer to PVDF or nitrocellulose membrane using standard protocols
Blocking and antibody incubation:
Block membrane with 5% non-fat dry milk in TBST (recommended blocking agent)
Incubate with primary At1g58090 antibody (typically 1:1000-1:2000 dilution)
Wash thoroughly with TBST
Incubate with appropriate HRP-conjugated secondary antibody
Detection:
Visualize using ECL substrate and imaging system
Confirm band at expected molecular weight (~43 kDa)
For protein interaction studies, consider coupling with Protein A/G agarose beads for immunoprecipitation applications.
Based on principles established for antibody research, a systematic titration approach is recommended:
Initial concentration ranges:
Sequential dilution series:
Prepare fourfold serial dilutions of the antibody
Test each dilution under identical experimental conditions
Evaluate both signal strength and signal-to-noise ratio
Concentration-response analysis:
Background assessment:
This approach is more resource-efficient than starting with manufacturer-recommended high concentrations, which may waste reagent and create excessive background .
For investigating At1g58090 protein interactions with other components of the SCF complex or target substrates:
Co-immunoprecipitation (Co-IP):
Immobilize At1g58090 antibody on Protein A/G agarose beads
Incubate with plant extract containing native protein complexes
Wash extensively to remove non-specific interactions
Elute and analyze by Western blotting for potential interaction partners
Proximity-based labeling:
Consider adapting techniques similar to BioID or APEX2 proximity labeling
Create fusion proteins containing At1g58090 and a proximity labeling enzyme
Identify interacting proteins through mass spectrometry analysis
Affinity purification with tandem mass spectrometry (AP-MS):
Use At1g58090 antibody for immunoprecipitation from plant extracts
Analyze precipitated protein complexes by LC-MS/MS
Identify potential binding partners and complex components
Controls and validation:
Include appropriate negative controls (pre-immune serum, IgG control)
Confirm interactions with orthogonal methods (yeast two-hybrid, split-luciferase)
Validate biological relevance through functional assays
Background signal is a common challenge with antibodies. Based on principles established in antibody research, these strategies can help:
Concentration optimization:
Blocking optimization:
Test different blocking agents (BSA, casein, commercial blockers)
Extend blocking time if background persists
Include blocking agents in antibody dilution buffer
Stringent washing:
Increase number and duration of wash steps
Use detergent concentrations appropriate for the application
Consider more stringent wash buffers for high-affinity antibodies
Pre-adsorption:
Pre-incubate antibody with negative control lysates to remove cross-reactive antibodies
Use recombinant proteins for specific pre-adsorption of cross-reactive antibodies
Signal-to-background measurement:
Adaptation of At1g58090 antibody for cutting-edge single-cell applications requires special considerations:
Several factors can contribute to experimental variability:
Batch-to-batch variability:
Polyclonal antibody preparations inherently vary between production lots
Revalidate each new lot before use in critical experiments
Consider creating large aliquots of a single lot for longitudinal studies
Protein extraction efficiency:
F-box proteins may have variable extraction efficiency based on buffer composition
Test multiple extraction protocols to optimize recovery
Ensure complete tissue disruption, particularly for plant tissues with cell walls
Post-translational modifications:
F-box proteins undergo various modifications affecting antibody recognition
Consider phosphorylation, ubiquitination, or other modifications affecting epitope accessibility
Extract under conditions that preserve relevant modifications
Protein loading consistency:
Ensure equal loading across samples using housekeeping protein controls
Quantify total protein using Bradford/BCA assays before loading
Consider using stain-free gel technology for loading normalization
Detection system sensitivity:
F-box proteins may be low-abundance targets requiring sensitive detection
Match detection method sensitivity to expected protein abundance
Consider signal amplification for low-abundance targets
Comprehensive controls help ensure reliable interpretation:
| Control Type | Purpose | Implementation |
|---|---|---|
| Positive Control | Confirms antibody functionality | Recombinant At1g58090 protein or overexpression system |
| Negative Control | Assesses non-specific binding | Pre-immune serum, isotype control, or knockout/knockdown system |
| Loading Control | Normalizes for protein quantity | Housekeeping proteins (tubulin, actin) or total protein staining |
| Technical Replicates | Evaluates experimental consistency | Minimum three independent replicates |
| Biological Replicates | Accounts for biological variation | Independent biological samples (different plants/tissues) |
| Cross-reactivity Control | Detects off-target binding | Related F-box proteins or proteome from non-target species |
| Blocking Peptide Control | Confirms epitope specificity | Pre-incubation with immunizing peptide to block specific binding |
Proper experimental design should include controls that allow distinguishing between true biological effects and technical artifacts.
Polyclonal antibodies present specific challenges that require systematic approaches:
Epitope mapping:
Identify the specific region(s) recognized by the antibody
Compare with homologous regions in related F-box proteins
Assess potential cross-reactivity through sequence alignment
Validation in knockout/knockdown systems:
Generate or obtain At1g58090 knockout/knockdown Arabidopsis lines
Compare antibody signal between wild-type and knockout samples
Absence of signal in knockout samples confirms specificity
Pre-adsorption controls:
Pre-incubate antibody with recombinant At1g58090 protein
Compare signal with and without pre-adsorption
Specific signal should be eliminated by pre-adsorption
Western blot complexity analysis:
Evaluate number and intensity of bands detected
Single band at expected molecular weight suggests specificity
Multiple bands may indicate cross-reactivity or protein processing
Mass spectrometry validation:
Immunoprecipitate with At1g58090 antibody
Analyze precipitated proteins by mass spectrometry
Confirm presence of target protein and assess co-precipitating proteins
F-box proteins like At1g58090 are critical components of plant ubiquitination pathways with emerging research applications:
Substrate identification:
At1g58090 antibody can help identify target proteins for ubiquitination
Immunoprecipitation followed by mass spectrometry enables substrate discovery
Understanding substrates illuminates biological function in developmental processes
Stress response regulation:
F-box proteins often mediate plant responses to environmental stresses
At1g58090 antibody can reveal protein abundance changes during stress conditions
Quantitative western blotting enables temporal profiling of protein levels
Hormone signaling integration:
F-box proteins frequently function in phytohormone signaling pathways
At1g58090 antibody can help map protein interactions with hormone signaling components
Co-immunoprecipitation experiments reveal regulatory networks
Post-translational modification dynamics:
Antibody-based approaches can track modifications of At1g58090 itself
Phospho-specific antibodies could reveal regulatory modifications
Understanding F-box protein regulation provides systems-level insights
While At1g58090's specific biological roles remain under investigation, antibody tools enable mechanistic studies connecting this F-box protein to broader plant development pathways .
Adapting At1g58090 antibody for advanced microscopy presents both challenges and opportunities:
Immunofluorescence optimization:
Test fixation methods compatible with At1g58090 epitope preservation
Optimize permeabilization for access to subcellular compartments
Determine effective antibody concentration for signal-to-noise optimization
Super-resolution microscopy adaptation:
Consider secondary antibody conjugates compatible with STORM/PALM
Evaluate direct fluorophore conjugation to minimize localization error
Test buffer conditions that support both antibody binding and fluorophore performance
Multiplexed imaging approaches:
Combine with antibodies against known interaction partners
Establish spectral compatibility between fluorophores
Implement sequential imaging protocols for highly multiplexed detection
Live-cell applications:
Explore nanobody generation against At1g58090
Engineer smaller antibody fragments based on heavy-chain-only antibodies
Test intrabody expression for live visualization of protein dynamics
Drawing from advances in nanobody technology, researchers might consider developing engineered binding proteins with enhanced membrane permeability and reduced size for improved intracellular access .
Avidity engineering principles could enhance At1g58090 antibody performance:
Multivalent antibody formats:
Implementation challenges:
Plant cell walls present unique barriers to antibody penetration
Optimization of linker length between binding domains is critical for maintaining specificity
Engineering must balance increased avidity against potential increases in non-specific binding
Domain linking strategies:
Experimental validation:
Applying these concepts to plant protein research could significantly enhance detection sensitivity, particularly for low-abundance regulatory proteins like At1g58090.