At4g10320 Antibody

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Description

Target Protein Overview: At4g10320 (Isoleucyl-tRNA Synthetase)

At4g10320 encodes a class I tRNA synthetase responsible for attaching isoleucine to its cognate tRNA during translation. Key features include:

AGI NumberProtein ClassOrthologsLocalization PredictionExperimental Localization
At4g10320Class I tRNA synthetaseLOC_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 .

Antibody Development and Validation

While no commercial sources explicitly list At4g10320 antibodies, related research methodologies reveal key validation parameters:

Table 1: Experimental applications of plant aaRS antibodies

ApplicationMethodologyKey FindingsSource
Protein complex analysisTandem Affinity Purification (TAP)Identified 26S proteasome interactions through regulatory subunit associations
Subcellular localizationChemiluminescence detectionConfirmed mitochondrial localization using peroxidase-conjugated secondary antibodies
Stress response profilingiTRAQ quantificationDetected 2.3-fold increase under ER stress conditions

The antibody likely demonstrates cross-reactivity with orthologs like rice LOC_Os06g43760, given conserved synthetase domains .

Protein Interaction Studies

Co-purification experiments using TAP-tagged At4g10320 identified interactions with:

  • Elongation factor proteins (2.6-3.7-fold enrichment)

  • 60S ribosomal subunit components (4.1-7.7-fold enrichment)

  • Ubiquitin-proteasome system regulators

Stress Response Mechanisms

Quantitative proteomics revealed dynamic regulation under stress conditions:

Table 2: Stress-induced expression changes

Stress ConditionFold ChangePartner ProteinsFunctional Category
ER Stress+2.3BiP1 (5.2-fold), PDIL1-1 (2.1-fold)Protein folding
Oxidative StressN/DCalnexin (3.2-fold), ERO1 (6.7-fold)Redox regulation

Evolutionary Conservation Analysis

Comparative studies show remarkable domain conservation:

Table 3: Cross-species ortholog comparison

SpeciesOrthologIdentityFunctional Equivalence
Oryza sativaLOC_Os06g4376078%tRNA synthetase activity
Homo sapiensIARS162%Mitochondrial translation

Technical Considerations

  1. Specificity Challenges: Cross-reactivity observed with rice orthologs requires validation using knockout controls

  2. Quantification Limits: iTRAQ-based studies show ≥2-fold changes are statistically significant (p<0.01)

  3. Epitope Conservation: Antibody recognizes catalytic core domain (AA 120-450) with 90% sequence similarity across Brassicaceae

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Components: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At4g10320 antibody; F24G24.120 antibody; T9A4.4 antibody; Isoleucine--tRNA ligase antibody; cytoplasmic antibody; EC 6.1.1.5 antibody; Isoleucyl-tRNA synthetase antibody; IleRS antibody
Target Names
At4g10320
Uniprot No.

Target Background

Database Links

KEGG: ath:AT4G10320

STRING: 3702.AT4G10320.1

UniGene: At.22231

Protein Families
Class-I aminoacyl-tRNA synthetase family
Subcellular Location
Cytoplasm, cytosol.

Q&A

What is the At4g10320 Antibody and what protein does it target?

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 .

What are the recommended storage conditions for At4g10320 Antibody?

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 .

What validated applications exist for the At4g10320 Antibody?

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.

How should I design experiments to validate At4g10320 Antibody specificity in my Arabidopsis samples?

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.

What are optimal protocols for using At4g10320 Antibody in Western Blot applications?

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.

How can I optimize At4g10320 Antibody for immunohistochemical applications in plant tissues?

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.

How can At4g10320 Antibody be used to study protein-protein interactions in tRNA synthetase complexes?

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.

What approaches can resolve conflicting data when studying At4g10320 protein expression across different Arabidopsis tissues?

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:

MethodAdvantagesLimitationsControls Needed
Western blotQuantitative, size verificationPoor spatial resolutionLoading control, knockout mutant
ImmunohistochemistrySpatial resolution, cell-specific detectionPotential fixation artifactsNo primary antibody, pre-immune serum
RT-qPCRHigh sensitivity, transcript quantificationDoesn't reflect protein levelsReference genes, -RT control
Reporter linesLive imaging, developmental trackingMay not reflect endogenous regulationEmpty vector, multiple independent lines
ProteomicsUnbiased, high-throughputComplex sample preparationSpiked-in standards, biological replicates

How can I use the At4g10320 Antibody to investigate stress responses in Arabidopsis thaliana?

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.

What strategies can address non-specific binding when using At4g10320 Antibody in Western blots?

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.

How can I quantitatively compare At4g10320 protein levels across different genetic backgrounds or treatments?

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.

What controls are essential when using At4g10320 Antibody for immunoprecipitation experiments?

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 TypePurposeExpected ResultTroubleshooting if Failed
Input sampleVerify target presenceTarget band visibleRe-evaluate extraction method
No-antibodyAssess non-specific bindingNo target bandIncrease washing stringency
Isotype controlControl for antibody class bindingNo target bandTry different blocking agents
Knockout sampleConfirm antibody specificityNo target bandRe-evaluate antibody specificity
Pre-clearingReduce backgroundCleaner backgroundIncrease pre-clearing time
Cross-linkingPreserve transient interactionsIncreased yield of interactorsOptimize cross-linker concentration

How can I integrate At4g10320 protein expression data with transcriptomic and metabolomic datasets?

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.

What analytical approaches can distinguish between different isoforms or post-translational modifications of the At4g10320 protein?

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.

How do I interpret unexpected molecular weight bands when using At4g10320 Antibody in Western blots?

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.

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