At5g44480 encodes a NAD(P)-binding Rossmann-fold superfamily protein with UDP-glucose epimerase (UGE) activity. Key features include:
| Feature | Description |
|---|---|
| Gene Identifier | AT5G44480 (TAIR) |
| Protein Class | UDP-glucose 4-epimerase (putative) |
| Mutant Phenotype | Altered lateral root development in dur mutants |
| Subcellular Localization | Likely Golgi apparatus (inferred from homologous UGEs in Arabidopsis) |
At5g44480 is implicated in:
Cell wall polysaccharide biosynthesis: Homologs like MUR4 (At2g27820) and GAEs (e.g., GAE1-6) catalyze UDP-sugar interconversions critical for arabinogalactan and pectin synthesis .
Root development: Mutations in dur disrupt lateral root formation, suggesting UDP-glucose metabolism influences root architecture .
Though no direct reports of At5g44480-specific antibodies exist, analogous studies on related enzymes provide methodological insights:
GFP/myc fusions: Localization studies for UGEs (e.g., MUR4-GFP) rely on epitope tags detected via anti-GFP/myc antibodies .
Immunoblotting: SDS-PAGE and western blotting using tag-specific antibodies (e.g., anti-myc) confirm recombinant protein expression .
Sequence alignment reveals conserved regions across UDP-sugar epimerases:
| Protein | Identity to At5g44480 | Functional Domain |
|---|---|---|
| MUR4 (At2g27820) | ~30% | Rossmann-fold NAD(P)-binding domain |
| GAE1 (At4g30440) | ~25% | UDP-GlcUA 4-epimerase catalytic site |
Antibodies targeting these conserved motifs could cross-react with At5g44480, enabling indirect detection.
Genetic studies: dur mutants highlight the gene’s role in root development but lack biochemical validation of enzyme activity .
Antibody development: No commercial or literature-reported antibodies exist, necessitating custom production using peptide antigens from variable regions (e.g., CDR-like loops in Rossmann-fold domains) .
At5g44480 refers to a specific gene locus in Arabidopsis thaliana (Mouse-ear cress), a widely used model organism in plant biology. This gene encodes a protein that is the target of the antibody discussed in this FAQ. Understanding the expression, localization, and function of this protein contributes to our knowledge of plant molecular biology and physiology. Researchers study At5g44480 to investigate various aspects of plant development, stress responses, or specific cellular pathways, depending on the protein's function. Antibodies against this protein allow for its detection, quantification, and localization within plant tissues or cells .
The At5g44480 antibody has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications. These techniques allow researchers to detect and quantify the target protein in various experimental contexts. ELISA provides quantitative data about protein abundance in solution, while Western Blot enables visualization of the protein's molecular weight and relative abundance in complex mixtures. Both applications ensure proper identification of the antigen of interest . When designing experiments, researchers should consider these validated applications and avoid assuming functionality in non-validated applications without proper controls.
Proper storage is crucial for maintaining antibody functionality. Upon receipt, the At5g44480 antibody should be stored at -20°C or -80°C to ensure long-term stability. Repeated freeze-thaw cycles can significantly damage antibody structure and functionality, so it's recommended to prepare small aliquots before freezing. The antibody is supplied in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. This formulation helps maintain antibody stability during storage . When planning long-term experiments, researchers should consider the impact of storage conditions on antibody performance and include appropriate controls to verify antibody activity.
The At5g44480 antibody has been specifically designed to react with Arabidopsis thaliana proteins. This specificity is important when designing experiments, as the antibody may not recognize homologous proteins from other plant species, even those closely related to Arabidopsis . When studying conserved proteins across multiple plant species, researchers should first validate cross-reactivity experimentally rather than assuming recognition based on sequence similarity. Negative controls using tissues from other plant species can help confirm specificity.
Antibody validation is critical for ensuring reliable experimental results. To validate the At5g44480 antibody's specificity, implement a multi-pronged approach:
Knockout/knockdown controls: Compare antibody signal between wild-type Arabidopsis and plants with reduced or eliminated expression of At5g44480 (using T-DNA insertion lines, CRISPR-Cas9 editing, or RNAi approaches).
Recombinant protein control: Use purified recombinant At5g44480 protein as a positive control.
Peptide competition assay: Pre-incubate the antibody with excess immunizing peptide before application to your samples. Specific binding should be significantly reduced, as demonstrated in similar approaches with other antibodies .
Orthogonal detection methods: Compare protein expression patterns using independent methods like mass spectrometry or RNA expression analysis.
Molecular weight verification: Confirm that the detected protein band appears at the expected molecular weight.
Cross-reactivity is a significant concern when working with antibodies. Although the At5g44480 antibody has been affinity-purified to improve specificity, researchers should be aware of potential cross-reactivity with proteins that share similar epitope structures . As demonstrated in studies with other antibodies, cross-reactivity can occur with proteins of similar size, complicating data interpretation .
To address this concern:
Always include appropriate negative controls (non-expressing tissues or knockout lines).
Consider performing immunoprecipitation followed by mass spectrometry to identify all proteins recognized by the antibody.
If using the antibody in a new context or with different experimental conditions, revalidate specificity.
Be particularly cautious when analyzing proteins of similar molecular weight to At5g44480, as they might represent cross-reactive species rather than isoforms or post-translationally modified versions of the target protein .
Understanding that cross-reactivity often results from conformational homology of epitope regions can help in troubleshooting specificity issues .
Detecting low-abundance proteins requires optimization strategies:
Sample preparation enhancement:
Use phosphatase and protease inhibitors during extraction
Enrich the target protein through subcellular fractionation
Consider using plant-specific extraction buffers optimized for Arabidopsis
Signal amplification methods:
For Western blotting, use high-sensitivity chemiluminescent substrates
For immunohistochemistry, employ tyramide signal amplification
Consider biotin-streptavidin amplification systems
Detection optimization:
Increase antibody concentration (titrate to determine optimal concentration)
Extend primary antibody incubation time (overnight at 4°C)
Optimize blocking conditions to reduce background while preserving specific signal
Extraction optimization table:
| Tissue Type | Recommended Buffer | Suggested Detergent | Special Considerations |
|---|---|---|---|
| Leaf | 50mM Tris-HCl pH 7.5, 150mM NaCl | 0.5% Triton X-100 | Add 5% PVPP for phenolic compounds |
| Root | 50mM HEPES pH 7.5, 100mM NaCl | 1% NP-40 | Extensive washing to remove soil contaminants |
| Seedlings | 50mM Tris-HCl pH 8.0, 150mM NaCl | 0.1% SDS + 0.5% sodium deoxycholate | Consider gentle sonication |
| Flowers | 25mM MES pH 6.5, 150mM NaCl | 0.5% Digitonin | Add extra protease inhibitors |
Remember that optimization is an iterative process, and conditions may need to be adjusted based on your specific experimental system .
A successful Western blot protocol for the At5g44480 antibody involves several critical steps:
Sample preparation:
Extract total protein from Arabidopsis tissues using a buffer containing 50mM Tris-HCl pH 7.5, 150mM NaCl, 1mM EDTA, 1% Triton X-100, and protease inhibitors
Determine protein concentration using Bradford or BCA assay
Denature samples in Laemmli buffer (containing SDS and β-mercaptoethanol) at 95°C for 5 minutes
Gel electrophoresis and transfer:
Load 20-40μg protein per lane on 10-12% SDS-PAGE gels
Transfer to PVDF membrane (preferred over nitrocellulose for plant proteins)
Verify transfer efficiency with reversible staining (Ponceau S)
Immunoblotting:
Block membrane with 5% non-fat milk in TBST (TBS + 0.1% Tween-20) for 1 hour at room temperature
Incubate with At5g44480 antibody diluted 1:500 to 1:2000 in blocking buffer overnight at 4°C
Wash extensively with TBST (4 times, 5 minutes each)
Incubate with HRP-conjugated secondary antibody (anti-rabbit IgG) diluted 1:5000 for 1 hour
Wash as before
Develop using ECL substrate and image using appropriate detection system
Controls to include:
Positive control: Arabidopsis wild-type tissue known to express At5g44480
Negative control: Tissue from knockout/knockdown line or non-expressing tissue
Loading control: Probe for constitutively expressed protein (e.g., actin or tubulin)
This protocol incorporates lessons from antibody validation studies emphasizing the importance of proper controls and methodological rigor in ensuring specificity .
Non-specific binding and high background are common challenges when working with antibodies:
Non-specific bands in Western blot:
Increase blocking stringency (try 5% BSA instead of milk, or increase blocking time)
Optimize antibody dilution (test a dilution series to find optimal concentration)
Add 0.1-0.5% Tween-20 to antibody dilution buffer
Consider using gradient gels to better separate proteins of similar molecular weight
Perform peptide competition assay to identify which bands are specific
Consider pre-adsorbing the antibody with non-target tissue lysate
High background in immunostaining:
Increase washing duration and frequency
Reduce primary and secondary antibody concentrations
Use more stringent blocking (add 0.1-0.5% Triton X-100 to blocking buffer)
Ensure tissues are properly fixed and permeabilized
Consider autofluorescence quenching methods for plant tissues
General troubleshooting approaches:
Test different blocking agents (milk, BSA, normal serum, commercial blockers)
Optimize incubation temperature (4°C vs. room temperature)
Check for cross-reactivity with closely related proteins
Consider the impact of post-translational modifications on antibody recognition
Research on antibody specificity has shown that cross-reactivity can occur due to conformational homology between the antibody's epitope region and proteins unrelated to the target, highlighting the importance of rigorous controls and optimization .
To comprehensively analyze At5g44480 expression across tissues or developmental stages:
Quantitative approaches:
Quantitative Western blot with tissue-specific protein extracts
ELISA analysis with standardized protein amounts from different tissues
Immunohistochemistry followed by quantitative image analysis
Protein mass spectrometry for absolute quantification
Spatial analysis:
Immunohistochemistry on tissue sections to visualize protein localization
Whole-mount immunostaining for seedlings or small organs
Tissue clearing techniques combined with immunofluorescence for 3D visualization
Subcellular fractionation followed by Western blot to determine compartmentalization
Temporal analysis:
Time-course experiments sampling at defined developmental stages
Inducible systems to track protein expression after stimulus application
Comparison with transcriptional data (qRT-PCR or RNA-seq) to correlate protein with mRNA levels
Experimental conditions for reliable quantification:
| Parameter | Recommendation | Rationale |
|---|---|---|
| Sample size | Minimum n=3 biological replicates | Accounts for natural variation |
| Reference protein | Use multiple references (actin, tubulin, GAPDH) | Single references may vary across tissues |
| Normalization | Total protein normalization (Stain-Free, Ponceau) | More reliable than single housekeeping proteins |
| Quantification method | Densitometry using linear range | Ensures measurements within dynamic range |
| Statistical analysis | ANOVA with post-hoc tests | Appropriate for multi-group comparisons |
The combination of these approaches provides a comprehensive view of protein expression patterns, similar to methods used in plant studies conducted in both terrestrial and spaceflight conditions .
Post-translational modifications (PTMs) can significantly impact antibody recognition:
Assessing PTM impact:
Compare antibody signal between native protein samples and those treated with modification-removing enzymes (phosphatases, deglycosylases, etc.)
Use modification-specific inhibitors during sample preparation
Compare antibody recognition in samples from plants grown under different conditions known to induce specific modifications
Test recombinant protein with and without specific modifications
Analysis of PTM-dependent recognition:
If the antibody was raised against a recombinant protein, determine if the expression system introduced modifications not present in plants
Consider whether the epitope region contains potential modification sites
Analyze antibody performance in samples treated with chemicals that preserve specific modifications
Experimental approaches:
Two-dimensional gel electrophoresis to separate protein isoforms followed by Western blotting
Immunoprecipitation followed by mass spectrometry to identify modifications on the captured protein
Parallel analysis with antibodies specifically targeting modified forms of the protein
These approaches build on the understanding that antibody specificity can be influenced by the conformational state of the target protein, which in turn is affected by post-translational modifications .
Co-immunoprecipitation (Co-IP) can identify protein interaction partners of At5g44480:
Optimized Co-IP protocol:
Extract proteins under non-denaturing conditions (avoid SDS, use mild detergents like 0.5% NP-40)
Pre-clear lysate with Protein A/G beads to reduce non-specific binding
Incubate cleared lysate with At5g44480 antibody (typically 2-5μg antibody per 500μg protein)
Capture antibody-protein complexes with Protein A-conjugated beads (the antibody is rabbit-derived )
Wash extensively with decreasing detergent concentrations
Elute bound proteins and analyze by mass spectrometry or Western blot
Critical controls:
Negative control: Perform parallel IP with non-specific rabbit IgG
Specificity control: Include samples from At5g44480 knockout/knockdown plants
Input control: Analyze a small portion of the starting material
Validation control: Confirm interactions with reciprocal Co-IP using antibodies against identified partners
Distinguishing true interactions from contaminants:
Use quantitative proteomics to compare IP samples with controls
Apply statistical thresholds for enrichment (typically >2-fold enrichment with p<0.05)
Consider using proximity-dependent labeling methods (BioID, APEX) for validation
Check literature for common contaminants in plant Co-IP experiments
When analyzing Co-IP data, be aware that some proteins may appear in IP samples due to antibody cross-reactivity rather than true interaction with the target, as demonstrated in studies of other antibodies .
Integrating multiple detection methods provides robust experimental validation:
Complementary approaches:
Combine protein detection (antibody-based) with transcriptional analysis (RT-qPCR, RNA-seq)
Correlate immunolocalization with fluorescent protein fusions
Integrate Western blot data with proteomic mass spectrometry
Pair functional assays with quantitative protein detection
Multi-scale analysis framework:
| Scale | Primary Method | Complementary Method | Integration Approach |
|---|---|---|---|
| Molecular | Western blot | Mass spectrometry | Validation of antibody specificity |
| Cellular | Immunocytochemistry | Fluorescent protein localization | Colocalization analysis |
| Tissue | Immunohistochemistry | RNA in situ hybridization | Correlation of protein and transcript patterns |
| Organismal | Quantitative ELISA | Phenotypic analysis | Association of protein levels with phenotypes |
Data integration strategies:
Use normalization methods to compare data across platforms
Apply multivariate statistical approaches to identify patterns
Develop computational models incorporating multiple data types
Consider temporal dynamics when integrating datasets collected at different timepoints
These practices align with rigorous scientific approaches employed in studies of antibody specificity, emphasizing the importance of quantitative validation and statistical rigor .
The At5g44480 antibody offers valuable applications in stress response research:
Experimental approaches:
Track protein abundance changes across stress treatments (drought, salinity, temperature extremes)
Analyze protein localization shifts during stress responses
Examine post-translational modifications induced by stress conditions
Investigate stress-responsive protein-protein interactions through co-immunoprecipitation
Integrated experimental design:
Advanced applications:
Chromatin immunoprecipitation (if At5g44480 has DNA-binding properties)
Protein stability assays under different stress conditions
Single-cell analysis of protein distribution in complex tissues
Comparative analysis across ecotypes to identify adaptive variations
These approaches build on established methodologies in plant biology research, particularly those used to study plant responses in various environmental conditions, including unique environments like microgravity .
Multiplexing requires careful planning to avoid technical artifacts:
Primary antibody compatibility:
Use antibodies raised in different host species to enable specific secondary detection
If using antibodies from the same species, consider direct labeling or sequential detection
Test for cross-reactivity between secondary antibodies and primary antibodies
Ensure epitope accessibility is not impacted by detection of other targets
Optimization strategies:
Titrate each antibody individually before combining
Determine optimal incubation sequence (simultaneous vs. sequential)
Test for signal bleed-through in fluorescence applications
Consider differential fixation requirements for each target
Technical approaches for multiplexing:
Fluorescence multiplexing using spectrally distinct fluorophores
Sequential reprobing of Western blots after stripping
Use of distinguishable nanoparticle labels
Multiplexed detection using differentially labeled secondary antibodies
Data analysis considerations:
Apply appropriate compensation matrices for spectral overlap
Use co-localization coefficients for quantifying spatial relationships
Consider how detection of one protein might influence detection of another
Implement careful controls to validate multiplex findings
These considerations are important for generating reliable data from multiplex experiments, avoiding artifacts that can arise from antibody cross-reactivity or technical limitations .