IRX9 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
IRX9 antibody; Os07g0694400 antibody; LOC_Os07g49370 antibody; P0627E10.10Probable beta-1,4-xylosyltransferase IRX9 antibody; EC 2.4.2.- antibody; OsGT43C antibody; Probable glucuronosyltransferase Os07g0694400 antibody; Protein IRREGULAR XYLEM 9 homolog antibody; OsIRX9 antibody
Target Names
IRX9
Uniprot No.

Target Background

Function
This antibody targets a probable beta-1,4-xylosyltransferase, which plays a role in xylan biosynthesis within cell walls.
Database Links
Protein Families
Glycosyltransferase 43 family
Subcellular Location
Golgi apparatus membrane; Single-pass type II membrane protein.

Q&A

What is IRX9 and why are antibodies against it important for plant research?

IRX9 (IRREGULAR XYLEM9) is a protein involved in xylan synthesis and secondary cell wall formation in plants, particularly in Arabidopsis. It belongs to the glycosyltransferase family GT43 and plays a crucial role in synthesizing the xylan backbone in secondary cell walls . IRX9 functions alongside its homolog IRX9-LIKE (IRX9-L) and partners IRX14 and IRX14-L in the xylan synthase complex.

Antibodies against IRX9 are valuable tools for several reasons:

  • They enable detection and localization of IRX9 in plant tissues

  • They facilitate studies of protein-protein interactions within the xylan synthase complex

  • They help researchers investigate the temporal and spatial expression patterns of IRX9

  • They assist in distinguishing between IRX9 and its homolog IRX9-L

IRX9 antibodies are particularly important because IRX9 has a unique structural feature where the DxD motif typically found in glycosyltransferases with a GT-A fold is replaced by a 'GLN' sequence, unlike IRX9L and IRX14/IRX14L which maintain the conserved DxD motif . This distinction makes IRX9 antibodies crucial for investigating the specific roles of IRX9 versus its homologs.

What experimental techniques can be optimized using IRX9 antibodies?

IRX9 antibodies can be utilized in multiple experimental techniques, each requiring specific optimization:

TechniqueSample PreparationAntibody Dilution RangeControlsCommon Applications
Western BlottingDenaturing extraction buffer with protease inhibitors1:500-1:5000irx9 mutants, pre-immune serumProtein expression analysis
ImmunoprecipitationMild detergent lysis (0.5-1% Triton X-100)2-5 μg per sampleIgG control, no-antibody controlProtein complex analysis
ImmunohistochemistryAldehyde fixation, paraffin embedding1:50-1:200No primary antibody, peptide competitionTissue localization
ImmunofluorescencePFA fixation, cryosectioning1:100-1:500Secondary antibody onlyCellular localization
ELISAOptimized extraction buffer1:100-1:1000Standard curveQuantitative analysis

For Western blotting, researchers should expect a band corresponding to IRX9's molecular weight and should include appropriate controls, such as tissue from irx9 mutants like irx9-1 (a likely true knock-out with insertion in the first intron) or irx9-2 (insertion in the second exon) . The anti-xylan LM10 monoclonal antibody can be used as a complementary approach to detect alterations in xylan content in cell walls .

How can I distinguish between IRX9 and IRX9L proteins using antibodies?

Distinguishing between IRX9 and IRX9L proteins requires careful antibody selection and experimental design:

Epitope Selection Strategy:
Design antibodies against non-conserved regions between IRX9 and IRX9L. The DxD motif region provides an excellent target, as this sequence is replaced by 'GLN' in IRX9 but conserved in IRX9L . This structural difference creates a unique epitope for generating IRX9-specific antibodies.

Validation Approaches:

  • Test antibodies on single and double mutants:

    • irx9 single mutants (irx9-1, irx9-2)

    • irx9-L single mutants (irx9-L1, irx9-L2)

    • irx9 irx9-L double mutants

  • Complementation testing:
    When using antibodies on complementation lines, examine antibody reactivity in plants transformed with constructs containing site-directed mutations, such as those described in search result . This approach can verify antibody specificity to particular regions of IRX9.

Recommended Controls Table:

Control TypePurposeExpected Result with IRX9-Specific Antibody
Wild-type (Col-0)Positive controlStrong signal
irx9-1 mutantNegative control for IRX9No signal
irx9-2 mutantPartial negative controlWeak/no signal
irx9-L1/L2 mutantsIRX9L negative controlStrong IRX9 signal
irx9 irx9-L double mutantComplete negative controlNo signal
IRX9 complementation lineRescue controlRestored signal

The severe phenotypes of the irx9 irx9-L double mutants demonstrate the important roles of both genes , which highlights the importance of properly distinguishing between these closely related proteins in your research.

What are the challenges in optimizing site-directed mutagenesis approaches when studying IRX9 antibody epitopes?

Site-directed mutagenesis is a powerful tool for studying IRX9 antibody epitopes, but presents several challenges:

Critical Residue Identification:
When designing site-directed mutagenesis experiments for IRX9, researchers must carefully identify amino acid residues essential for function. As demonstrated in published research, mutagenizing proteins in specific amino acid residues known to be required for glycosyltransferase activity can reveal important functional domains . This approach can guide antibody epitope selection to regions that are:

  • Functionally significant

  • Surface-exposed

  • Unique to IRX9 (not conserved in IRX9L)

Mutagenesis Strategy Table:

Mutation TypePurposeConsiderations for Antibody Studies
Catalytic residue mutationsTest functional importanceMay alter protein conformation affecting antibody binding
Surface residue mutationsTest surface accessibilityIdeal for identifying exposed epitopes
DxD motif region mutationsDistinguish IRX9 from IRX9LTarget the 'GLN' sequence unique to IRX9
Conserved region mutationsGenerate cross-reactive antibodiesUseful for detecting both IRX9 and IRX9L

Validation Challenges:
After generating mutated versions of IRX9, validating antibody specificity requires careful experimental design:

  • Express wild-type and mutated IRX9 proteins in expression systems

  • Perform Western blotting to confirm expression and size

  • Test antibody reactivity against each variant

  • Conduct complementation assays in irx9 mutants to verify function

Research has shown that IRX9 mutants exhibit irregular xylem (irx) phenotypes that can be visualized using microscopy and complemented by expression of wild-type IRX9 . These phenotypes provide valuable cellular contexts for validating antibody specificity.

How can computational approaches improve IRX9 antibody specificity?

Modern computational approaches can significantly enhance IRX9 antibody specificity:

AI-Based Design Strategies:
Recent advances in AI-based antibody design, as described in search result , offer promising approaches for generating highly specific IRX9 antibodies. These methods can:

  • Generate de novo antigen-specific antibody sequences

  • Use germline-based templates to create targeted antibodies

  • Bypass traditional experimental approaches for antibody discovery

Computational Model Application:
Based on methodologies described in search result , researchers can develop computational models to:

  • Identify different binding modes associated with specific epitopes

  • Disentangle binding modes even when associated with chemically similar targets

  • Design antibodies with customized specificity profiles

  • Create antibodies with either:

    • Specific high affinity for IRX9 but not IRX9L

    • Cross-specificity for both IRX9 and IRX9L when desired

Implementation Process:

  • Perform high-throughput sequencing of antibody libraries selected against IRX9

  • Build computational models that capture binding specificity

  • Use these models to design novel antibody sequences with predefined binding profiles

  • Experimentally validate the designed antibodies

This approach combines "biophysics-informed modeling and extensive selection experiments" to generate IRX9 antibodies with precisely controlled specificity, which is particularly valuable when trying to distinguish between closely related proteins like IRX9 and IRX9L.

What is the optimal sample preparation protocol for IRX9 detection in plant tissues?

Effective IRX9 detection requires careful consideration of tissue selection and preparation methods:

Tissue Selection:
Based on IRX9's role in secondary cell wall formation, optimal tissues include:

  • Developing stems where secondary cell wall formation is active

  • Xylem tissue where IRX9 expression is highest

  • Young tissues with active cell wall synthesis

Sample Preparation Protocols by Application:

For Western blotting:

  • Harvest appropriate tissue and flash-freeze in liquid nitrogen

  • Grind tissue to fine powder under liquid nitrogen

  • Extract using buffer containing:

    • 50 mM Tris-HCl pH 7.5

    • 150 mM NaCl

    • 1% Triton X-100 or other appropriate detergent

    • 10% glycerol

    • Protease inhibitor cocktail

  • Centrifuge at 13,000 g for 15 minutes at 4°C

  • Collect supernatant and quantify protein concentration

  • Mix with SDS sample buffer and heat at 95°C for 5 minutes

  • Load on SDS-PAGE gel for separation

For immunohistochemistry:

  • Fix tissue in 4% paraformaldehyde for 24 hours

  • Dehydrate and embed in paraffin

  • Section at 5-10 μm thickness

  • Dewax and rehydrate sections

  • Perform antigen retrieval if necessary

  • Block with 5% normal serum in PBS with 0.1% Triton X-100

  • Incubate with primary antibody overnight at 4°C

  • Wash and incubate with appropriate secondary antibody

  • Develop signal using chromogenic or fluorescent methods

Critical Considerations:

  • IRX9 is likely membrane-associated, requiring effective detergent solubilization

  • Protease inhibitors are essential to prevent degradation

  • Cross-linking fixatives may mask epitopes, requiring optimization of antigen retrieval

  • For co-immunoprecipitation, milder detergents may better preserve protein-protein interactions

How should antibody-based methods be designed to investigate IRX9's role in xylan synthesis?

Designing effective antibody-based methods to investigate IRX9's role in xylan synthesis requires integration of multiple techniques:

Experimental Approach Matrix:

Research QuestionPrimary TechniqueComplementary TechniqueControlsExpected Outcome
IRX9 localization in cell typesImmunohistochemistryIn situ hybridizationirx9 mutantsLocalization to developing xylem
IRX9 subcellular localizationImmunofluorescenceSubcellular fractionationOrganelle markersGolgi/ER localization pattern
IRX9 protein partnersCo-immunoprecipitationYeast two-hybridIgG controls, IRX14/IRX9L antibodiesIdentification of complex components
IRX9 vs. IRX9L functionComplementation with antibody validationSite-directed mutagenesisMutant rescueDifferential antibody staining
IRX9 temporal expressionWestern blot time courseqRT-PCRLoading controlsCorrelation with xylan synthesis

Core Experimental Design Elements:

  • Use anti-xylan LM10 monoclonal antibody as a complementary approach to detect alterations in xylan content in cell walls

  • Include a range of controls including irx9 single mutants, irx9L single mutants, and double mutants

  • Validate findings across multiple techniques

  • Correlate antibody-detected protein levels with functional xylan synthesis measurements

Critical Experimental Controls:
When analyzing IRX9 function using antibodies, irregularities in xylem vessels provide a critical phenotypic marker. As shown in research, the irregular xylem phenotype (indicated with arrows in microscopy images) is observed in irx9 and irx14 mutants and can be rescued by complementation . This provides a valuable cellular context for antibody studies.

What methodological considerations are important when comparing antibody-based versus genetic approaches for studying IRX9?

Antibody-based and genetic approaches each offer distinct advantages for IRX9 research and can be complementary:

Methodological Comparison Table:

Research AspectAntibody-Based ApproachGenetic ApproachIntegrated Approach Benefits
Protein detectionDirect detection of IRX9 proteinIndirect assessment via phenotypeConfirms protein expression in genetic lines
Temporal resolutionCan capture rapid changes in protein levelsLimited by transcription/translation timesCorrelate transcript and protein dynamics
Spatial resolutionSubcellular and tissue localizationTissue-specific expressionConfirm localization patterns with multiple methods
Interaction studiesCo-IP reveals physical interactionsGenetic interactions via double mutantsValidate physical interactions in genetic backgrounds
Functional domainsEpitope masking reveals accessible regionsMutational analysis reveals functional domainsMap functional domains to protein structure

Antibody Limitations and Solutions:

  • Specificity concerns: Validate using multiple approaches including Western blots on irx9 mutants (irx9-1, irx9-2) and irx9-L mutants (irx9-L1, irx9-L2)

  • Sensitivity issues: Enhance using signal amplification methods

  • Variability between lots: Characterize each antibody lot thoroughly

  • Accessibility of epitopes: Test multiple fixation and extraction methods

Genetic Approach Limitations and Solutions:

  • Functional redundancy: Use double mutants (irx9 irx9-L) to overcome redundancy

  • Pleiotropic effects: Use tissue-specific or inducible systems

  • Developmental consequences: Use time-course studies and inducible systems

  • Compensatory mechanisms: Combine with gene expression analysis

Integration Strategy:

  • Use genetic approaches to establish the framework (mutants, complementation lines)

  • Apply antibodies to localize and quantify proteins in these genetic backgrounds

  • Correlate antibody-detected protein levels with functional phenotypes (e.g., xylan content, irregular xylem)

The severe phenotypes observed in irx9 irx9-L double mutants demonstrate previously unrecognized important roles for IRX9-L , highlighting the value of integrating genetic and antibody-based approaches.

How should I quantify IRX9 expression levels from immunohistochemistry and Western blotting data?

Accurate quantification of IRX9 requires rigorous methodology and appropriate controls:

Western Blot Quantification Protocol:

  • Capture images using a calibrated system with linear dynamic range

  • Include a dilution series of a standard sample to verify linearity

  • Measure band intensities using analysis software (ImageJ, etc.)

  • Normalize to appropriate loading controls:

    • Housekeeping proteins (ACTIN, TUBULIN, etc.)

    • Total protein staining (Ponceau S, SYPRO Ruby)

  • Include biological replicates (minimum n=3)

  • Apply appropriate statistical analysis

Immunohistochemistry Quantification Options:

Cross-Technique Validation:
To ensure robust quantification, validate findings across multiple techniques:

  • Compare Western blot quantification with immunohistochemistry intensity

  • Correlate with qRT-PCR data when appropriate

  • Verify with functional assays (e.g., xylan content measurement)

Research shows that IRX9 function can be assessed by measuring cell wall xylose content by high-performance anion-exchange chromatography (HPAEC) after trifluoroacetic acid (TFA) hydrolysis . This provides a functional readout that can be correlated with antibody-based protein quantification.

How can I interpret IRX9 antibody data in the context of xylan synthesis complex formation?

Interpreting IRX9 antibody data in relation to complex formation requires understanding of both protein interactions and technical limitations:

Complex Analysis Framework:

  • Use co-immunoprecipitation with IRX9 antibodies to pull down complex components

  • Compare complex composition across different genetic backgrounds:

    • Wild-type plants

    • irx9 mutants complemented with wild-type IRX9

    • irx9 mutants complemented with mutated IRX9 versions

    • irx9-L mutants to assess compensation

Data Interpretation Matrix:

ObservationPossible InterpretationConfirmatory Experiment
IRX9 detected without IRX14/IRX9LIndependent function or technical limitationReciprocal IP with IRX14/IRX9L antibodies
Altered complex composition in mutantsStructural role of IRX9 in complexSite-directed mutagenesis of interaction domains
IRX9L compensation in irx9 mutantsFunctional redundancyDouble mutant analysis
Different complex composition in different tissuesTissue-specific complex formationTissue-specific IP experiments

Critical Insights from Literature:
Research suggests that IRX9 may not have an essential catalytic function and instead may have "a primary role in organizing and assembling a xylan synthase complex" . This hypothesis is supported by observations that IRX9 has an unusual amino acid sequence where the DxD motif typically found in glycosyltransferases is replaced by 'GLN' .

The unique properties of irx9 mutants also provide important context: the irx9-2 T-DNA mutant has a much milder phenotype than irx9-1, despite the irx9-2 insertion potentially resulting in a truncated protein containing only the transmembrane domain and linker region . This suggests complex roles in the xylan synthase complex that require careful interpretation of antibody-based data.

What statistical approaches are most appropriate for analyzing IRX9 antibody data across genetic variants?

Selecting appropriate statistical methods is critical for robust analysis of IRX9 antibody data:

Statistical Analysis Decision Tree:

  • For comparing IRX9 levels across two genotypes (e.g., wild-type vs. single mutant):

    • Student's t-test for normally distributed data

    • Mann-Whitney U test for non-normally distributed data

  • For comparing across multiple genotypes (e.g., wild-type, single, and double mutants):

    • One-way ANOVA with post-hoc Tukey's test for normally distributed data

    • Kruskal-Wallis with post-hoc Dunn's test for non-normally distributed data

  • For time-course or developmental series data:

    • Repeated measures ANOVA for normally distributed data

    • Mixed-effects models for complex experimental designs

    • Longitudinal data analysis for extended time series

Sample Size and Replication Requirements:

Analysis TypeMinimum Biological ReplicatesTechnical ReplicatesPower Calculation Basis
Simple comparison3-52-3Effect size from pilot studies
Complex multi-factor5-82-3Variance components analysis
Correlation studies8-102Expected correlation coefficient
Development/Time series3 per timepoint2Temporal effect size

Data Presentation Standards:

Example from literature: When analyzing cell wall xylose content data, researchers used ANOVA with Tukey's test (p>0.05) to identify averages that were not significantly different, as indicated with the same letter in data visualization . This approach allows for clear identification of statistically meaningful differences across multiple genotypes and complementation lines.

How can I address non-specific binding in IRX9 antibody applications?

Non-specific binding is a common challenge in plant antibody applications due to cell wall components and abundant proteins:

Systematic Troubleshooting Approach:

IssuePotential CausesSolution StrategiesValidation Method
High background in all samplesInsufficient blockingIncrease blocking time/concentration; try different blockers (BSA, casein, normal serum)Compare signal-to-noise ratio
Non-specific bands in Western blotCross-reactivity with related proteinsPeptide competition assay; test on irx9 mutantsObserve which bands disappear
Unexpected tissue stainingEndogenous peroxidases/phosphatasesInclude quenching steps; use fluorescent detectionCompare with/without quenching
Variable results between experimentsAntibody degradation; protocol inconsistencyAliquot antibodies; standardize protocolsInclude consistent positive control
Signal in negative controlsSecondary antibody non-specific bindingTry different secondary antibody; additional blockingNo-primary antibody control

Plant-Specific Considerations:

  • Cell wall components can cause high background:

    • Include additional blocking steps with non-fat dry milk

    • Pre-absorb antibodies with plant powder from irx9 mutants

    • Consider longer washing steps with higher salt concentration

  • Autofluorescence can interfere with immunofluorescence:

    • Use appropriate filters to distinguish antibody signal

    • Include autofluorescence controls

    • Consider spectral unmixing during analysis

  • Xylan itself may affect antibody penetration:

    • Optimize antigen retrieval methods

    • Consider enzymatic pre-treatment

    • Compare results across different fixation methods

What are the best controls to validate IRX9 antibody specificity?

Robust validation of IRX9 antibody specificity requires multiple control types:

Essential Negative Controls:

  • Genetic controls: Test antibodies on:

    • irx9-1 null mutant (insertion in first intron)

    • irx9-2 mutant (insertion in second exon)

    • irx9 irx9-L double mutant

  • Blocking controls:

    • Pre-incubate antibody with immunizing peptide

    • Depleted antibody preparation

    • Pre-immune serum (for polyclonal antibodies)

  • Technical controls:

    • Omit primary antibody

    • Use isotype control antibody

    • Include concentration-matched non-specific IgG

Essential Positive Controls:

  • Genetic positive controls:

    • Wild-type (Col-0) Arabidopsis

    • Complementation lines expressing IRX9 in irx9 background

    • Overexpression lines if available

  • Technical positive controls:

    • Recombinant IRX9 protein (if available)

    • Tagged IRX9 that can be detected with tag-specific antibodies

Validation Experimental Design:

Control TypeWestern BlotImmunohistochemistryCo-IPExpected Result with Specific Antibody
Wild-type+++Clear specific signal
irx9-1 mutant---No signal
irx9-2 mutant-/weak-/weak-/weakNo/minimal signal
IRX9 complementation+++Restored signal
Peptide competition---No signal
No primary antibody---No signal

Research demonstrates that the irregular xylem phenotype can be used as a functional readout to validate IRX9 antibody specificity. This phenotype is observed in irx9 mutants and can be complemented by expression of wild-type IRX9 .

How can I optimize fixation and antigen retrieval for IRX9 immunolocalization?

Optimizing fixation and antigen retrieval is crucial for successful IRX9 immunolocalization in plant tissues:

Fixation Method Comparison:

Fixation MethodAdvantagesDisadvantagesBest For
4% ParaformaldehydeGood morphology preservation; Compatible with many antibodiesMay mask some epitopes; Requires antigen retrievalGeneral immunolocalization
Ethanol:Acetic Acid (3:1)Better for some antibodies; Less epitope maskingPoorer morphology; Not ideal for membrane proteinsNuclear proteins
GlutaraldehydeExcellent ultrastructureStrong epitope masking; High autofluorescenceElectron microscopy follow-up
MethanolGood for cytoskeletal proteins; Minimal retrieval neededPoor membrane preservationCytoskeletal studies
Fresh-frozenMinimal epitope modificationsPoor morphology; Difficult with plant tissuesHighly sensitive epitopes

Antigen Retrieval Optimization Matrix:

Retrieval MethodProtocolApplicationConsiderations
Heat-inducedCitrate buffer pH 6.0, 95°C, 20 minMost formalin-fixed tissuesMonitor tissue integrity
EnzymaticProteinase K (1-20 μg/ml), 10 min, RTHeavily fixed tissuesCan damage some epitopes
High pHTris-EDTA pH 9.0, 95°C, 20 minSome membrane proteinsMonitor tissue integrity
Detergent-based0.1% Triton X-100, 30 min, RTCell permeabilizationMinimal retrieval effect
CombinedHeat followed by mild enzymatic treatmentDifficult epitopesRequires careful optimization

Optimization Strategy:

  • Test multiple fixation methods with the same retrieval method

  • Test multiple retrieval methods with the optimal fixation method

  • Compare results using both chromogenic and fluorescent detection

  • Include positive controls with known effective conditions

  • Verify that positive signal correlates with expected IRX9 expression pattern

For plant tissues specifically, consider these additional factors:

  • Cell wall structure may impede antibody penetration

  • Enzymatic cell wall digestion may improve access to membrane-associated proteins like IRX9

  • Anti-xylan LM10 monoclonal antibody can be used as a reference for optimizing conditions in xylem tissues

When analyzing stem cross-sections, the irregular xylem phenotype provides a valuable visual marker for tissues where IRX9 should be expressed , helping to validate successful immunolocalization.

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