At4g10320 encodes a class I tRNA synthetase responsible for attaching isoleucine to its cognate tRNA during translation. Key features include:
| AGI Number | Protein Class | Orthologs | Localization Prediction | Experimental Localization |
|---|---|---|---|---|
| At4g10320 | Class I tRNA synthetase | LOC_Os06g43760 (rice) | Cytosol, mitochondria | Mitochondria |
This enzyme shows 2.3-fold upregulation during endoplasmic reticulum stress in rice endosperm, indicating stress-responsive regulation . Its dual localization suggests roles in both cytoplasmic and organellar translation systems .
While no commercial sources explicitly list At4g10320 antibodies, related research methodologies reveal key validation parameters:
The antibody likely demonstrates cross-reactivity with orthologs like rice LOC_Os06g43760, given conserved synthetase domains .
Co-purification experiments using TAP-tagged At4g10320 identified interactions with:
Quantitative proteomics revealed dynamic regulation under stress conditions:
| Stress Condition | Fold Change | Partner Proteins | Functional Category |
|---|---|---|---|
| ER Stress | +2.3 | BiP1 (5.2-fold), PDIL1-1 (2.1-fold) | Protein folding |
| Oxidative Stress | N/D | Calnexin (3.2-fold), ERO1 (6.7-fold) | Redox regulation |
Comparative studies show remarkable domain conservation:
| Species | Ortholog | Identity | Functional Equivalence |
|---|---|---|---|
| Oryza sativa | LOC_Os06g43760 | 78% | tRNA synthetase activity |
| Homo sapiens | IARS1 | 62% | Mitochondrial translation |
Specificity Challenges: Cross-reactivity observed with rice orthologs requires validation using knockout controls
Quantification Limits: iTRAQ-based studies show ≥2-fold changes are statistically significant (p<0.01)
Epitope Conservation: Antibody recognizes catalytic core domain (AA 120-450) with 90% sequence similarity across Brassicaceae
The At4g10320 Antibody (product code CSB-PA135650XA01DOA) is a polyclonal antibody that specifically targets the At4g10320 gene product in Arabidopsis thaliana. This gene encodes a tRNA synthetase class I (I, L, M and V) family protein, also referenced by synonyms F24G24.120 and F24G24_120 in the literature . The antibody is raised in rabbits using recombinant Arabidopsis thaliana At4g10320 protein as the immunogen, making it highly specific for research applications involving this particular protein target .
For optimal stability and activity preservation, the At4g10320 Antibody should be stored at -20°C or -80°C immediately upon receipt. The antibody is supplied in liquid form with a storage buffer containing 0.03% Proclin 300 as a preservative, 50% Glycerol, and 0.01M PBS at pH 7.4 . It's crucial to avoid repeated freeze-thaw cycles as these can compromise antibody functionality and specificity. When working with the antibody, aliquoting into smaller volumes before freezing is recommended to minimize freeze-thaw damage for long-term research projects .
The At4g10320 Antibody has been validated for use in ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blot (WB) applications with Arabidopsis thaliana samples . These techniques allow researchers to detect and quantify the presence of the target protein in various sample types. When using this antibody for the first time in a new experimental system, proper validation including positive and negative controls is essential to ensure specificity and to establish optimal working dilutions for your particular experimental conditions.
Validating antibody specificity is a critical first step when studying At4g10320 in Arabidopsis thaliana. A comprehensive validation strategy should include:
Positive and negative controls: Use wild-type Arabidopsis samples as positive controls and At4g10320 knockout mutants (if available) as negative controls to confirm specificity.
Western blot analysis: Run protein extracts from your Arabidopsis samples alongside a molecular weight marker to verify that the detected band corresponds to the expected molecular weight of the At4g10320 protein.
Blocking peptide competition: Pre-incubate the antibody with excess recombinant At4g10320 protein before application to your samples. If the antibody is specific, this should eliminate or significantly reduce signal detection.
Cross-reactivity testing: Test the antibody against protein extracts from related plant species to assess potential cross-reactivity, which is particularly important when studying conserved proteins like tRNA synthetases.
Immunoprecipitation followed by mass spectrometry: This approach can verify that the antibody is indeed capturing the intended protein target and not related proteins.
For newly established protocols, it's advisable to include all validation steps to ensure reliable experimental outcomes and data interpretation.
For effective Western Blot detection of At4g10320 protein in Arabidopsis samples, follow this optimized protocol:
Sample preparation:
Extract total protein from Arabidopsis tissues using a buffer containing protease inhibitors
Quantify protein concentration using Bradford or BCA assay
Prepare 20-40 μg of total protein per lane with sample buffer
Gel electrophoresis and transfer:
Separate proteins on a 10-12% SDS-PAGE gel
Transfer to a PVDF or nitrocellulose membrane (0.45 μm pore size)
Antibody incubation:
Block membrane with 5% non-fat dry milk in TBST for 1 hour at room temperature
Incubate with At4g10320 Antibody (recommended starting dilution 1:1000) overnight at 4°C
Wash 3× with TBST, 10 minutes each
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour at room temperature
Wash 3× with TBST, 10 minutes each
Detection:
Develop using ECL substrate
Expose to X-ray film or image using a digital imager
Controls:
Include a loading control (anti-actin or anti-tubulin)
Include positive control (wild-type Arabidopsis extract)
Consider including a negative control (knockout mutant if available)
This protocol should yield specific detection of the At4g10320 protein while minimizing background signal.
Although the At4g10320 Antibody is not explicitly validated for immunohistochemistry in the datasheet , researchers can adapt it for this application with careful optimization:
Tissue fixation and embedding:
Fix Arabidopsis tissues in 4% paraformaldehyde for 12-24 hours
Dehydrate through ethanol series (30%, 50%, 70%, 85%, 95%, 100%)
Embed in paraffin or optimal cutting temperature (OCT) compound
Sectioning and antigen retrieval:
Cut 5-10 μm sections and mount on positively charged slides
For paraffin sections: Deparaffinize and rehydrate
Perform antigen retrieval using citrate buffer (pH 6.0) at 95°C for 20 minutes
Antibody optimization:
Test multiple dilutions (1:100, 1:200, 1:500, 1:1000)
Evaluate different incubation times (overnight at 4°C vs. 2 hours at room temperature)
Compare different detection systems (HRP vs. fluorescent secondary antibodies)
Controls:
Include sections without primary antibody
Use pre-immune serum as a negative control
Test specificity with competing peptide
Counterstaining:
Use DAPI for nuclear visualization if using fluorescent detection
Consider toluidine blue for structural context with chromogenic detection
Each step should be optimized specifically for Arabidopsis tissue type being examined, as fixation requirements may vary between leaves, roots, and reproductive structures.
The At4g10320 Antibody can be instrumental in elucidating protein-protein interactions within tRNA synthetase complexes through several advanced techniques:
Co-immunoprecipitation (Co-IP):
Use At4g10320 Antibody to pull down the target protein from plant extracts
Identify interaction partners through Western blot or mass spectrometry
Confirm interactions with reciprocal Co-IP using antibodies against putative interacting proteins
Proximity Ligation Assay (PLA):
Apply At4g10320 Antibody alongside antibodies against suspected interaction partners
Use species-specific secondary antibodies conjugated with oligonucleotides
Visualize interactions as fluorescent spots when proteins are in close proximity (<40 nm)
Bimolecular Fluorescence Complementation (BiFC):
While not directly using the antibody, BiFC can complement antibody-based findings
Express At4g10320 fused to one half of a fluorescent protein
Express potential interacting proteins fused to the complementary half
Antibody validation helps confirm the specificity of observed interactions
Immunogold Electron Microscopy:
Use At4g10320 Antibody with gold-conjugated secondary antibodies
Visualize subcellular localization and potential co-localization with interaction partners
Measure distances between gold particles to assess protein proximity
When studying complex formation, it's essential to use gentle extraction conditions to preserve native protein-protein interactions while ensuring sufficient solubilization of membrane-associated complexes.
When faced with conflicting data regarding At4g10320 protein expression patterns, a systematic troubleshooting approach is recommended:
Multiple detection methods:
Compare results from Western blot, immunohistochemistry, and ELISA
Each technique has different sensitivities and potential for artifacts
Concordance across methods increases confidence in findings
Transcript vs. protein level analysis:
Compare protein data (using At4g10320 Antibody) with transcript data (RT-qPCR or RNA-seq)
Discrepancies may indicate post-transcriptional regulation
Use techniques like polysome profiling to assess translation efficiency
Developmental and environmental variables:
Systematically test expression across different developmental stages
Evaluate effects of various growth conditions and stresses
Maintain detailed records of all experimental variables
Sample preparation variables:
Test multiple protein extraction methods (native vs. denaturing)
Compare fresh vs. frozen tissue processing
Assess impact of different protease inhibitor cocktails
Cross-validation with reporter lines:
Generate At4g10320 promoter::GUS or At4g10320::GFP fusion lines
Compare reporter expression patterns with antibody-detected patterns
Differences may reveal regulatory elements missing in reporter constructs
The table below summarizes a systematic approach to resolving conflicting expression data:
| Method | Advantages | Limitations | Controls Needed |
|---|---|---|---|
| Western blot | Quantitative, size verification | Poor spatial resolution | Loading control, knockout mutant |
| Immunohistochemistry | Spatial resolution, cell-specific detection | Potential fixation artifacts | No primary antibody, pre-immune serum |
| RT-qPCR | High sensitivity, transcript quantification | Doesn't reflect protein levels | Reference genes, -RT control |
| Reporter lines | Live imaging, developmental tracking | May not reflect endogenous regulation | Empty vector, multiple independent lines |
| Proteomics | Unbiased, high-throughput | Complex sample preparation | Spiked-in standards, biological replicates |
The At4g10320 Antibody can be effectively employed to study how tRNA synthetase expression and function respond to various stress conditions in Arabidopsis:
Stress treatment experimental design:
Subject plants to defined stresses (drought, salt, cold, pathogen exposure)
Collect samples at multiple time points (0, 1, 3, 6, 12, 24, 48 hours)
Process parallel samples for both protein and transcript analysis
Quantitative Western blot analysis:
Use the At4g10320 Antibody to detect protein levels under different stress conditions
Implement fluorescent secondary antibodies for more accurate quantification
Include multiple biological and technical replicates
Normalize to appropriate housekeeping proteins that remain stable under the tested stresses
Subcellular localization changes:
Perform cellular fractionation (cytosolic, nuclear, membrane, chloroplast)
Use the At4g10320 Antibody to track potential redistribution of the protein
Complement with immunofluorescence microscopy for in situ visualization
Post-translational modification analysis:
Use 2D gel electrophoresis followed by Western blotting with At4g10320 Antibody
Identify charge variants that may represent phosphorylation or other modifications
Confirm modifications using phospho-specific antibodies or mass spectrometry
Protein complex dynamics:
Perform size exclusion chromatography coupled with Western blot detection
Track changes in complex formation under different stress conditions
Identify stress-specific interaction partners through immunoprecipitation
This approach enables researchers to generate comprehensive datasets on how the At4g10320 protein responds to environmental challenges at multiple levels of regulation.
Non-specific binding is a common challenge when working with plant samples due to their complex matrix and abundant secondary metabolites. To address this when using the At4g10320 Antibody:
Optimization of blocking conditions:
Test different blocking agents (5% milk, 5% BSA, commercial blockers)
Increase blocking time (1-3 hours at room temperature or overnight at 4°C)
Add 0.1-0.3% Tween-20 to blocking buffer to reduce hydrophobic interactions
Antibody dilution optimization:
Test a range of primary antibody dilutions (1:500 to 1:5000)
Prepare antibody in fresh blocking buffer
Consider adding 0.1-0.2% Triton X-100 to reduce non-specific interactions
Sample preparation refinements:
Include additional centrifugation steps to remove insoluble material
Add polyvinylpolypyrrolidone (PVPP) to extraction buffer to remove phenolic compounds
Consider protein precipitation (TCA/acetone) followed by resolubilization
Washing protocol enhancements:
Increase number of washes (5-6 instead of standard 3)
Extend washing time (15-20 minutes per wash)
Use higher salt concentration in wash buffer (up to 500 mM NaCl)
Pre-adsorption of antibody:
Incubate diluted antibody with proteins from a species different from your target
Alternatively, pre-incubate with protein extract from At4g10320 knockout plants
Remove complexes by centrifugation before using the antibody
Systematic documentation of each optimization step is essential for establishing reproducible protocols across different sample types and experimental conditions.
Accurate quantitative comparison of At4g10320 protein levels requires careful experimental design and rigorous analytical approaches:
Sample normalization strategies:
Equal protein loading: Determine total protein concentration using Bradford or BCA assay
Internal controls: Probe for housekeeping proteins unaffected by your treatments
Whole-lane normalization: Consider total protein staining (Ponceau S, SYPRO Ruby) as an alternative to single protein references
Quantitative Western blot approach:
Use fluorescently-labeled secondary antibodies instead of HRP/chemiluminescence
Include a standard curve using recombinant At4g10320 protein (if available)
Process all samples to be compared on the same gel and membrane
Capture images within the linear dynamic range of your detection system
Replicate structure:
Minimum of 3 biological replicates per condition
2-3 technical replicates per biological sample
Include sample randomization during extraction and gel loading
Statistical analysis:
Apply appropriate statistical tests (ANOVA, t-test) based on experimental design
Use normality tests to confirm appropriate test selection
Consider power analysis to determine if sample size is sufficient
Report effect sizes along with p-values
Alternative quantification methods:
Confirm Western blot findings with ELISA using the same antibody
Consider targeted mass spectrometry approaches for absolute quantification
Use multiple peptides/transitions when using MS-based quantification
This methodical approach ensures reliable quantitative comparisons of At4g10320 protein levels across different experimental conditions, providing more robust data for publication and further research.
Immunoprecipitation (IP) using the At4g10320 Antibody requires comprehensive controls to ensure valid and reproducible results:
Input control:
Always save an aliquot (5-10%) of the pre-IP lysate
Use for comparison to IP eluate to assess enrichment
Essential for calculating pull-down efficiency
Negative controls:
Isotype control: Use non-specific rabbit IgG at the same concentration
No-antibody control: Perform IP procedure without adding any antibody
Knockout/knockdown control: Use tissue from At4g10320 mutant plants
Pre-clearing controls:
Compare results with and without pre-clearing using protein A/G beads
Assess impact on non-specific binding vs. target recovery
Cross-linking validation:
If using cross-linking agents, include non-cross-linked samples
Test different cross-linker concentrations to optimize specificity vs. yield
Elution method controls:
Compare different elution methods (harsh vs. mild conditions)
Assess recovery efficiency and maintenance of protein-protein interactions
Bead selection controls:
Test different types of beads (magnetic vs. agarose)
Compare direct antibody conjugation vs. protein A/G capture
The table below provides a framework for evaluating IP results with appropriate controls:
| Control Type | Purpose | Expected Result | Troubleshooting if Failed |
|---|---|---|---|
| Input sample | Verify target presence | Target band visible | Re-evaluate extraction method |
| No-antibody | Assess non-specific binding | No target band | Increase washing stringency |
| Isotype control | Control for antibody class binding | No target band | Try different blocking agents |
| Knockout sample | Confirm antibody specificity | No target band | Re-evaluate antibody specificity |
| Pre-clearing | Reduce background | Cleaner background | Increase pre-clearing time |
| Cross-linking | Preserve transient interactions | Increased yield of interactors | Optimize cross-linker concentration |
Integrating protein expression data from At4g10320 Antibody experiments with transcriptomic and metabolomic data requires sophisticated bioinformatic approaches:
Data normalization strategies:
Standardize each dataset independently (Z-scores, quantile normalization)
Apply batch correction methods if data were generated in different timeframes
Use appropriate transformations for different data types (log transformation for expression data)
Correlation analysis:
Calculate Pearson or Spearman correlations between protein levels and transcript abundance
Identify metabolites that correlate with At4g10320 protein levels
Generate correlation networks to visualize relationships
Pathway enrichment analysis:
Map integrated data to known biochemical pathways
Identify pathways where At4g10320 shows coordinated changes with other molecules
Use tools like KEGG, MapMan, or MetaboAnalyst for plant-specific pathway mapping
Time-course integration:
Align time points across different data types
Apply time-series analysis methods (dynamic time warping)
Identify lead/lag relationships between transcript, protein, and metabolite changes
Visualization approaches:
Create multi-omics heatmaps showing coordinated responses
Develop principal component analysis (PCA) plots incorporating all data types
Use clustering approaches to identify co-regulated modules
This integrated approach provides a systems-level understanding of At4g10320 function within the broader cellular context and can reveal regulatory relationships not apparent from single-omics analyses.
Distinguishing between isoforms or post-translational modifications (PTMs) of the At4g10320 protein requires specialized analytical techniques:
2D gel electrophoresis with Western blotting:
Separate proteins first by isoelectric point, then by molecular weight
Transfer to membrane and probe with At4g10320 Antibody
Multiple spots at the same molecular weight may indicate PTMs
Shifts in molecular weight may indicate different isoforms
Phosphorylation-specific analysis:
Treat samples with lambda phosphatase before Western blotting
Compare migration patterns before/after treatment
Use phospho-specific stains (Pro-Q Diamond) followed by Western blotting
Consider phospho-enrichment followed by mass spectrometry
Specialized gel systems:
Phos-tag acrylamide gels to resolve phosphorylated forms
High-percentage gels (15-20%) to resolve small molecular weight differences
Native gel electrophoresis to preserve protein complexes
Mass spectrometry approaches:
Immunoprecipitate with At4g10320 Antibody followed by MS analysis
Use bottom-up proteomics to identify specific modified residues
Employ top-down proteomics to characterize intact protein forms
Consider targeted approaches like selected reaction monitoring (SRM)
Isoform-specific detection strategies:
Complement antibody detection with RT-PCR using isoform-specific primers
Generate recombinant isoforms as size markers for Western blot
Consider raising isoform-specific antibodies if differences are substantial
This multi-faceted approach allows researchers to fully characterize the complexity of At4g10320 protein expression and regulation at the post-transcriptional and post-translational levels.
Unexpected bands in Western blots using the At4g10320 Antibody require systematic interpretation and validation:
Common causes of unexpected bands:
Proteolytic degradation (lower MW bands)
Post-translational modifications (higher or lower MW bands)
Alternative splicing isoforms (variable MW bands)
Protein dimers or multimers (2× or 3× expected MW)
Cross-reactivity with related proteins
Validation approaches:
Compare with recombinant At4g10320 protein standard
Test knockout/knockdown samples for band disappearance
Use blocking peptide competition to identify specific vs. non-specific bands
Compare results with antibodies targeting different epitopes
PTM identification strategies:
Treat samples with specific enzymes (phosphatases, glycosidases, etc.)
Observe band shifts after treatment
Use PTM-specific stains before Western blotting
Follow up with mass spectrometry to identify modifications
Degradation assessment:
Compare fresh vs. frozen samples
Test different extraction buffers with varied protease inhibitor cocktails
Perform time-course experiments with samples kept at different temperatures
Induce degradation experimentally to identify degradation patterns
Cross-reactivity investigation:
Test antibody against recombinant proteins with sequence similarity
Perform sequence alignment to identify potential cross-reactive proteins
Compare band patterns across different plant tissues and species
By systematically investigating unexpected bands, researchers can gain valuable insights into protein processing, modification, and regulation that might otherwise be overlooked.