WAXY Antibody

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Description

Terminology Validation

  • Antibody nomenclature: Antibodies are typically named based on:

    • Target antigen (e.g., anti-CD20 antibody)

    • Isotype (e.g., IgG1, IgA)

    • Commercial identifiers (e.g., pembrolizumab, trastuzumab)

  • The term "WAXY" does not align with established naming conventions for antibodies, antigens, or related biomolecules.

Potential Misinterpretations

The term might arise from:

  • Typographical error: Possible candidates include:

    • Wax D antibody: Referenced in mycobacterial research (Search Result 9), an antigenic component of Mycobacterium tuberculosis.

    • Anti-wax antibodies: Rarely studied in lipid immunology.

  • Proprietary name: Unregistered in clinical trials (ClinicalTrials.gov) or patent databases (USPTO, WIPO).

Literature Analysis

Relevant antibody research topics in the provided sources include:

TopicKey FindingsSources Cited
Antibody structureY-shaped glycoproteins with heavy/light chains, variable/constant regions
Antibody diversityGenerated via V(D)J recombination, somatic hypermutation
COVID-19 autoantibodiesSevere COVID-19 linked to autoantibody production
Therapeutic antibodiesDiscussed in patent law and development challenges

None reference "WAXY Antibody."

Recommendations for Further Inquiry

  1. Verify terminology: Confirm spelling or context (e.g., "waxy" vs. "WAXY").

  2. Explore niche applications: Investigate unpublished datasets or proprietary research.

  3. Consult specialized databases:

    • AntibodyRegistry.org (RRID:AB_2897846)

    • Thera-SAbDab (Therapeutic Structural Antibody Database)

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (12-14 weeks)
Synonyms
WAXY antibody; Granule-bound starch synthase 1 antibody; chloroplastic/amyloplastic antibody; EC 2.4.1.242 antibody; Granule-bound starch synthase I antibody; GBSS-I antibody
Target Names
WAXY
Uniprot No.

Target Background

Database Links

UniGene: Ta.2795

Protein Families
Glycosyltransferase 1 family, Bacterial/plant glycogen synthase subfamily
Subcellular Location
Plastid, chloroplast. Plastid, amyloplast. Note=Amyloplast or chloroplast, granule-bound.
Tissue Specificity
Found in seeds and pollen.

Q&A

What is the WAXY protein and why are antibodies against it important in research?

The WAXY protein, also known as granule-bound starch synthase I (GBSSI), plays a crucial role in amylose synthesis within plant endosperm, particularly in rice and other cereal crops. This enzyme is encoded by the Waxy (Wx) gene and is fundamental to starch composition determination . Antibodies against the WAXY protein are essential research tools that enable scientists to detect, quantify, and localize GBSSI in plant tissues. These antibodies facilitate studies on starch biosynthesis pathways, genetic variations affecting grain quality, and the development of crops with modified starch properties. Using immunodetection methods with WAXY antibodies, researchers can track protein expression levels across different genetic backgrounds, developmental stages, and environmental conditions.

How do different allelic variations of the WAXY gene affect protein detection by antibodies?

The Waxy gene exhibits considerable allelic diversity with at least nine identified alleles, including Wx^lv, Wx^a, Wx^in, Wx^b, Wx^mw, Wx^mp, Wx^mq, and wx^op . These allelic variations result in amino acid substitutions in the WAXY protein that can potentially affect antibody binding. For example, the Wx^mp allele contains a G to A mutation in exon 4 (Ex4-53A) resulting in an Arg158 to His158 substitution, while the Wx^mq allele features an additional mutation in exon 5 (Ex5-52C) causing a Tyr191 to His191 substitution . When designing or selecting antibodies for WAXY protein research, researchers must consider these variations to ensure consistent detection across different genetic backgrounds. Polyclonal antibodies recognizing multiple epitopes may provide better coverage across variants, while monoclonal antibodies might be more sensitive to specific allelic changes. Validation experiments using samples from plants with known Wx alleles are essential to confirm antibody specificity and sensitivity.

What are the optimal sample preparation methods for WAXY protein detection using antibodies?

For effective WAXY protein detection, sample preparation should account for the subcellular localization of GBSSI within starch granules. The recommended protocol involves:

  • Tissue collection: Harvest developing seeds at appropriate stages (10-15 days after flowering for rice endosperm) when WAXY protein synthesis is active.

  • Homogenization: Grind tissue samples in buffer containing protease inhibitors (typically 100 mM Tris-HCl pH 7.5, 5 mM EDTA, 1 mM DTT, and protease inhibitor cocktail).

  • Starch granule isolation: Fractionate homogenate through filtration and differential centrifugation (3000g for 5 min followed by 10,000g for 15 min).

  • Protein extraction: Extract proteins from starch granules using SDS buffer (50 mM Tris-HCl pH 6.8, 2% SDS, 10% glycerol, 5% β-mercaptoethanol) with heating (95°C for 5 min).

  • Protein separation: Perform SDS-PAGE using 8-10% polyacrylamide gels for optimal resolution of the ~60 kDa WAXY protein.

For immunohistochemistry applications, tissue fixation with 4% paraformaldehyde followed by paraffin embedding or cryosectioning is recommended to preserve protein antigenicity while maintaining tissue morphology .

How can WAXY antibodies be used to investigate starch synthesis regulation in response to environmental factors?

WAXY antibodies serve as valuable tools for investigating how environmental factors influence starch synthesis regulation. Researchers can design experiments to compare WAXY protein levels under different conditions:

  • Stress response analysis: Expose plants to various stresses (temperature, drought, salinity) and quantify WAXY protein expression using immunoblotting with specific antibodies.

  • Developmental profiling: Track GBSSI protein levels through immunodetection across developmental stages to identify critical periods of regulation.

  • Diurnal variation studies: Assess protein levels at different times of day to understand circadian regulation of starch metabolism.

A methodological approach involves:

  • Growing plants under controlled conditions with systematic variation of individual environmental factors

  • Collecting endosperm samples at defined developmental stages

  • Extracting proteins using standardized protocols

  • Performing quantitative Western blot analysis with WAXY antibodies

  • Correlating protein levels with amylose content and starch properties

This approach has revealed that temperature stress can significantly alter WAXY protein levels independent of transcriptional changes, suggesting post-transcriptional regulatory mechanisms that would be undetectable without protein-level analysis using specific antibodies .

What are the best immunodetection methods for distinguishing between different WAXY protein variants?

Distinguishing between different WAXY protein variants requires specialized immunodetection approaches:

MethodApplicationSensitivitySpecificity for Variants
Western blottingProtein size/abundanceModerate (10-100 ng)Low-moderate
ImmunoprecipitationProtein interactionsHighModerate
ELISAQuantificationHigh (0.1-10 ng)Moderate-high
ImmunohistochemistryLocalizationModerateLow
Epitope-specific antibodiesVariant identificationModerateHigh

For highest specificity in distinguishing WAXY variants, researchers should:

  • Develop epitope-specific antibodies targeting regions containing known allelic substitutions (e.g., Arg158His in Wx^mp or Tyr191His in Wx^mq) .

  • Use high-resolution techniques like 2D-PAGE before immunoblotting to separate variants with subtle structural differences.

  • Employ immunoprecipitation followed by mass spectrometry for precise identification of variants and post-translational modifications.

  • Validate antibody specificity using transgenic lines expressing single defined WAXY variants, such as those described in the literature (Nip(wx)-Wx, Nip(wx)-Wx^mp, and Nip(wx)-Wx^mq) .

How can researchers validate the specificity of WAXY antibodies in transgenic research?

Validating WAXY antibody specificity is critical for reliable research outcomes, especially when working with transgenic materials. A systematic validation approach should include:

  • Genetic controls: Use null mutants (wx lines) as negative controls and transgenic lines with known WAXY variants as positive controls. The experimental design should include planting multiple seedlings (≥20) for each strain with at least three biological repeats to ensure statistical validity .

  • Cross-reactivity testing: Test antibodies against related proteins (other starch synthases) to confirm specificity.

  • Peptide competition assays: Pre-incubate antibodies with synthetic peptides matching the target epitope to demonstrate binding specificity.

  • Immunoprecipitation and mass spectrometry: Confirm that antibodies capture the intended WAXY protein variants.

  • Western blot analysis comparing:

    • Wild-type samples (positive control)

    • Knockout/null mutants (negative control)

    • Transgenic lines with different WAXY alleles

    • Samples from different tissue types and developmental stages

For transgenic research specifically, researchers should implement a methodical approach to antibody validation using near-isogenic lines (NILs) that differ only in their WAXY alleles, as demonstrated in studies using Nipponbare (Nip) background rice lines carrying different Wx alleles .

How can microfluidics-enabled technologies enhance WAXY antibody development and screening?

Recent advances in microfluidics-enabled technologies have revolutionized antibody development, offering significant advantages for generating WAXY-specific antibodies:

  • High-throughput screening: Microfluidic platforms enable encapsulation of single antibody-secreting cells (ASCs) at rates up to 10^7 cells per hour, dramatically accelerating the screening process compared to traditional methods .

  • Enhanced sensitivity: The antibody capture hydrogel system allows concentration of secreted antibodies around each cell, increasing detection sensitivity for low-abundance secretors.

  • Multiplexed analysis: Flow cytometry-based sorting of captured antibodies enables simultaneous evaluation of multiple parameters including binding specificity, affinity, and cross-reactivity.

The methodological approach involves:

  • Isolating B cells from immunized animals or human donors

  • Encapsulating individual cells in antibody capture hydrogels using droplet microfluidics

  • Staining with fluorescently-labeled WAXY protein antigens

  • Selecting high-affinity binders using flow cytometry

  • Recovering cells for sequencing and recombinant antibody production

This technology has successfully generated high-affinity antibodies (sub-nanomolar range) against complex targets with exceptional success rates (>85% of characterized antibodies binding target) . For WAXY research, this approach could rapidly generate antibodies specific to different protein variants resulting from allelic diversity.

What strategies can resolve contradictory results when using WAXY antibodies across different experimental systems?

Contradictory results when using WAXY antibodies across different experimental systems often arise from several factors. Researchers should implement a systematic troubleshooting approach:

  • Allelic variation assessment: Different crop varieties contain distinct WAXY alleles with amino acid substitutions that may affect antibody recognition. Sequence the Wx gene from all experimental materials to identify variations .

  • Protein extraction optimization: GBSSI is tightly bound to starch granules, requiring specific extraction methods. Compare multiple extraction protocols:

Extraction MethodAdvantagesLimitationsRecommended For
SDS-based extractionHigh yieldPotential denaturationWestern blotting
Native extractionPreserves activityLower yieldActivity assays
Detergent fractionationMaintains complexesTime-consumingProtein interaction studies
  • Cross-reactivity analysis: Test antibodies against purified proteins from related species and paralogs to identify potential cross-reactivity.

  • Assay standardization: Develop standard curves using purified recombinant WAXY protein variants and implement consistent normalization methods.

  • Technical validation: Perform antibody validation across different detection platforms (Western blot, ELISA, immunohistochemistry) to identify technique-specific artifacts.

When contradictory results persist, researchers should consider:

  • Using multiple antibodies targeting different epitopes of the WAXY protein

  • Implementing complementary detection methods (e.g., activity assays alongside immunodetection)

  • Creating transgenic reference materials with tagged WAXY variants for unambiguous detection

How can researchers design experiments to correlate WAXY protein levels with functional phenotypes in crop research?

Designing robust experiments to correlate WAXY protein levels with functional phenotypes requires a multidisciplinary approach:

  • Genetic diversity panel: Assemble a diverse collection of germplasm with known variations in the Wx gene, including natural variants and transgenic lines with specific alleles (e.g., Wx^b, Wx^mp, Wx^mq) .

  • Comprehensive phenotyping: Assess multiple starch-related traits:

    • Amylose content (AC) using colorimetric iodine binding assays

    • Grain transparency through digital imaging analysis

    • Gel consistency (GC) as an indicator of texture

    • Starch pasting properties using Rapid Visco Analyzer

    • Cooking and eating quality parameters

  • Quantitative protein analysis: Implement precise quantification of WAXY protein using:

    • Calibrated Western blotting with recombinant protein standards

    • Enzyme-linked immunosorbent assays (ELISA)

    • Mass spectrometry-based targeted proteomics

  • Enzyme activity correlation: Measure GBSSI activity in addition to protein levels to account for post-translational regulation.

  • Statistical modeling: Apply multivariate analysis to identify correlations between protein levels, enzyme activity, and phenotypic traits.

Research has demonstrated that specific functional SNPs in the Wx gene (Ex4-53G to A and Ex5-53T to C) lead to decreased GBSSI activity without altering expression levels, resulting in lower amylose content and improved grain transparency . This highlights the importance of measuring both protein abundance and enzymatic activity when correlating with phenotypic outcomes.

What controls should be included when using WAXY antibodies in comparative studies across different plant species?

When using WAXY antibodies in comparative studies across plant species, comprehensive controls are essential to ensure valid interpretations:

  • Phylogenetic controls:

    • Include species representing different evolutionary distances from the target species

    • Select plants with known GBSSI sequence variations to test epitope conservation

    • Include C3 and C4 plants which may have different starch metabolism patterns

  • Genetic controls:

    • Wild-type specimens as positive controls

    • Waxy mutants (null mutants) as negative controls

    • Transgenic lines expressing tagged WAXY proteins as reference standards

    • Near-isogenic lines differing only in Wx alleles to control for genetic background effects

  • Technical controls:

    • Pre-immune serum controls to assess non-specific binding

    • Secondary antibody-only controls to detect background signal

    • Peptide competition assays to confirm epitope specificity

    • Recombinant WAXY protein standards for quantification

  • Sample processing controls:

    • Consistent developmental staging across species

    • Standardized growth conditions and sampling times

    • Uniform protein extraction and quantification methods

    • Loading controls appropriate for each species (housekeeping proteins)

The experimental design should include at least 20 biological samples per species with three independent biological replicates to ensure statistical robustness, as demonstrated in published protocols .

How should researchers optimize immunohistochemistry protocols to localize WAXY protein in diverse plant tissues?

Optimizing immunohistochemistry (IHC) for WAXY protein localization requires careful consideration of tissue-specific challenges:

  • Fixation optimization:

    • Test multiple fixatives (4% paraformaldehyde, Carnoy's solution, glutaraldehyde)

    • Optimize fixation duration based on tissue density (shorter for meristematic tissues, longer for mature endosperm)

    • Consider cryo-fixation for sensitive epitopes

  • Tissue processing considerations:

    • For starch-rich tissues: Implement alpha-amylase treatment steps to improve antibody access

    • For waxy tissues: Add specialized permeabilization steps with appropriate detergents

    • Adjust section thickness based on tissue type (7-10 μm for endosperm, 5 μm for leaves)

  • Antigen retrieval methods comparison:

MethodAdvantagesConsiderations for WAXY Protein
Heat-induced (citrate buffer)Effective for many fixed epitopesMay damage starch granule structure
Enzymatic (proteinase K)Gentle on tissue morphologyMay destroy some epitopes
Detergent-based (Triton X-100)Preserves protein structureLess effective for starch-embedded proteins
Combined approachesCustomizable for specific tissuesRequires extensive optimization
  • Signal development optimization:

    • Compare fluorescent vs. chromogenic detection systems

    • Test signal amplification methods for low-abundance detection

    • Implement spectral unmixing for multi-labeling experiments

  • Validation approaches:

    • Parallel detection with multiple antibodies targeting different WAXY epitopes

    • Correlation with in situ hybridization of Wx mRNA

    • Verification with transgenic lines expressing fluorescently-tagged WAXY protein

Research examining WAXY protein localization has revealed that GBSSI is predominantly localized within starch granules in the endosperm but may show differential distribution patterns based on the specific Wx allele present .

What experimental design best captures the relationship between WAXY gene mutations and enzyme activity?

A comprehensive experimental design to investigate the relationship between WAXY gene mutations and enzyme activity should incorporate multiple complementary approaches:

  • Genetic material preparation:

    • Create transgenic lines expressing specific Wx allelic variants in a null background

    • Develop CRISPR-engineered lines with precise mutations at functional SNP positions

    • Include natural variants with known phenotypic differences

  • Enzyme activity assays:

    • Direct measurement of GBSSI activity using 14C-ADP-glucose incorporation assays

    • Assessment of amylose synthesis capability in isolated starch granules

    • In vitro reconstitution with purified enzymes to test specific mutations

  • Protein structure-function analysis:

    • Express recombinant WAXY proteins with specific mutations

    • Perform enzyme kinetics studies (Km, Vmax, substrate specificity)

    • Employ structural biology techniques (X-ray crystallography, cryo-EM) to visualize mutation effects

  • In planta phenotypic characterization:

    • Measure amylose content using iodine binding and size exclusion chromatography

    • Assess starch physicochemical properties (pasting behavior, thermal properties)

    • Evaluate grain quality parameters (transparency, texture, cooking properties)

  • Systems biology integration:

    • Transcriptomic analysis to identify compensatory mechanisms

    • Metabolomic profiling to detect changes in starch precursors

    • Network analysis to understand pathway interactions

How might single-cell antibody technologies revolutionize WAXY protein variant detection in heterogeneous plant tissues?

Single-cell antibody technologies represent a frontier in WAXY protein research, offering unprecedented resolution for studying protein variants in complex plant tissues:

  • Advances in microfluidic encapsulation of antibody-secreting cells now enable processing of 10^7 cells per hour, dramatically increasing screening throughput for developing variant-specific antibodies .

  • Single-cell protein analysis applications for plant tissues include:

    • Spatial profiling of WAXY protein distribution across endosperm development

    • Detection of mosaic expression patterns in chimeric tissues

    • Identification of cell-specific post-translational modifications

    • Quantification of protein variant ratios in heterozygous plants

  • Implementation methodology:

    • Tissue disaggregation using optimized enzymatic cocktails

    • Microfluidic encapsulation of individual plant cells

    • In-droplet antibody-based protein detection

    • High-throughput imaging or flow cytometry analysis

    • Single-cell sequencing correlation with protein data

The antibody capture hydrogel system demonstrated for antibody discovery could be adapted for capturing and analyzing WAXY protein from single plant cells, enabling correlation between genotype and protein phenotype at unprecedented resolution. This approach would be particularly valuable for studying developmental gradients in endosperm tissue or for identifying rare cellular variants in mutagenized populations.

What are the emerging applications of WAXY antibodies in understanding climate resilience mechanisms in crops?

As climate change intensifies, WAXY antibodies are becoming crucial tools for understanding starch metabolism adaptations that contribute to crop resilience:

  • Temperature stress response analysis:

    • Compare WAXY protein levels and modifications under heat stress conditions

    • Identify temperature-sensitive alleles with altered protein stability

    • Correlate protein changes with heat tolerance in diverse germplasm

  • Drought adaptation mechanisms:

    • Investigate WAXY protein dynamics during water limitation

    • Examine modifications to starch structure that enhance water retention

    • Develop assays to screen for drought-tolerant starch phenotypes

  • Methodological approaches:

    • Field-to-laboratory stress experiments with controlled environmental conditions

    • Time-course sampling during stress application and recovery periods

    • Antibody-based high-throughput screening of diverse germplasm

    • Correlation of protein data with physiological performance metrics

  • Translational applications:

    • Development of antibody-based diagnostic kits for rapid field assessment of stress responses

    • Screening tools for breeding programs focusing on climate-resilient varieties

    • Early detection of stress-induced changes in grain quality parameters

Research has shown that altered WAXY protein function affects grain transparency and physicochemical properties , which may have implications for seed viability and germination under stress conditions. Antibody-based methods can track these changes with high specificity and sensitivity, making them valuable tools for climate resilience research.

How can integrated multi-omics approaches that include WAXY antibody data enhance our understanding of starch biosynthesis networks?

Integrated multi-omics approaches incorporating WAXY antibody data provide a comprehensive understanding of starch biosynthesis networks:

  • Data integration framework:

Omics LayerTechniqueContribution to WAXY Understanding
GenomicsWhole-genome sequencingIdentification of Wx allelic variants
TranscriptomicsRNA-seq, qRT-PCRWx gene expression patterns
ProteomicsAntibody-based quantificationWAXY protein levels and modifications
MetabolomicsLC-MS/MSSubstrate and product profiling
PhenomicsStarch property analysisFunctional outcomes
  • Methodological integration:

    • Temporal sampling across development stages

    • Spatial resolution through tissue-specific analyses

    • Perturbation experiments using diverse genetic backgrounds

    • Environmental variation to capture response networks

  • Analytical approaches:

    • Network modeling to identify regulatory hubs

    • Machine learning for pattern recognition across data types

    • Causal inference to distinguish correlation from causation

    • Visualization tools for multi-dimensional data interpretation

  • Specific WAXY antibody contributions:

    • Quantitative protein data to identify post-transcriptional regulation

    • Detection of protein modifications not predicted from genomic data

    • Identification of protein-protein interactions through co-immunoprecipitation

    • Localization data to understand subcellular regulation

Studies examining transgenic rice lines with different Wx alleles have demonstrated the power of integrating protein-level data with phenotypic outcomes, revealing that specific SNPs affect enzyme activity without altering expression levels . This highlights how antibody-derived protein data provides critical insights that cannot be obtained from genomic or transcriptomic analysis alone.

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