At1g63340 Antibody

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Description

Introduction to At1g63340 Antibody

At1g63340 is a gene locus identifier in Arabidopsis thaliana, commonly used in plant genomics to denote specific genetic loci. While the term "At1g63340 Antibody" is not explicitly documented in peer-reviewed literature, it likely refers to an antibody targeting the protein product encoded by the At1g63340 gene. Antibodies are immunoglobulins designed to bind specifically to antigens, enabling applications in research, diagnostics, and therapeutics .

Contextualizing At1g63340 in Plant Biology

At1g63340 is part of the broader Arabidopsis genome annotation system, where "At" denotes Arabidopsis thaliana, "1" indicates chromosome 1, "g" signifies a genomic sequence, and "63340" is a unique identifier. Genes in this locus are often associated with stress responses, detoxification, or metabolic pathways. For example, related genes such as At1g74590 (glutathione S-transferase) and At1g78340 (another glutathione S-transferase) are involved in detoxifying reactive oxygen species .

Gene LocusFold InductionDescriptionFunction
At1g7459012.9Glutathione S-transferase (GST)Detoxification of reactive oxygen species
At1g783406.5GST family memberStress response, redox regulation
At2g294204.8GST-like proteinAntioxidant defense

Table 1: Representative Arabidopsis genes involved in detoxification and stress responses .

Antibody Design and Applications

Antibodies are Y-shaped proteins with two antigen-binding fragments (Fab) and a crystallizable fragment (Fc) . Monoclonal antibodies (mAbs), engineered to target specific epitopes, have revolutionized research and therapy. For instance:

  • Cancer treatment: mAbs like ramucirumab inhibit angiogenesis .

  • Autoimmune diseases: Anti-TNF-α antibodies (e.g., infliximab) reduce inflammation .

  • GPCR modulation: Nanobodies targeting the angiotensin II type 1 receptor (AT1R) show promise in cardiovascular diseases .

ApplicationMechanismExample
Cancer therapyBlocking tumor growth factorsRamucirumab (anti-VEGFR2)
Autoimmune diseasesInhibiting pro-inflammatory cytokinesAdalimumab (anti-TNF-α)
GPCR modulationAllosteric regulation of receptorsAT1R-targeting nanobodies

Table 2: Antibody applications and mechanisms .

Challenges in At1g63340 Antibody Research

  1. Target Identification:

    • At1g63340’s protein product would need structural or functional characterization (e.g., via homology to GSTs or ABC transporters) .

  2. Antibody Engineering:

    • Hybridoma technology or phage display could generate mAbs .

  3. Validation:

    • Techniques like Western blotting, immunofluorescence, or label-free dynamic mass redistribution (DMR) assays validate antibody specificity .

Hypothetical Research Directions

If At1g63340 encodes a stress-response protein, its antibody could:

  • Study Gene Function:

    • Localize the protein in plant tissues under oxidative stress.

    • Knock down expression via RNA interference (RNAi) or CRISPR.

  • Diagnostic Use:

    • Monitor stress biomarkers in crops.

  • Therapeutic Potential:

    • Inhibit or enhance detoxification pathways in disease models.

Case Studies: AT1 Receptor Antibodies

While not directly related to At1g63340, anti-AT1 receptor antibodies illustrate antibody-mediated pathogenesis and therapeutic targeting:

  • Systemic Sclerosis (SSc):

    • AT1R autoantibodies induce skin/lung fibrosis and inflammation in mice .

  • Pharmacological Modulation:

    • Nanobodies engineered to antagonize AT1R show maternal-specific targeting in pregnancy .

ModelAntibody EffectOutcome
C57BL/6J miceAT1R immunization → IgG depositionFibrosis, T/B cell infiltration
HEK293 cellsmAT1R Ab + Ang II → DMR responseEnhanced receptor activation

Table 3: AT1R antibody effects in experimental models .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At1g63340 antibody; F9N12.4 antibody; Putative flavin-containing monooxygenase FMO GS-OX-like 10 antibody; EC 1.8.-.- antibody; Putative flavin-monooxygenase glucosinolate S-oxygenase-like 10 antibody
Target Names
At1g63340
Uniprot No.

Target Background

Function
This antibody catalyzes the conversion of methylthioalkyl glucosinolates of any chain length into methylsulfinylalkyl glucosinolates.
Database Links

KEGG: ath:AT1G63340

UniGene: At.52341

Protein Families
FMO family

Q&A

What is At1g63340 and why is it important in plant research?

At1g63340 is a gene locus in Arabidopsis thaliana, encoding a flavin monooxygenase-like protein that plays a significant role in auxin biosynthesis and plant development. This gene belongs to the YUCCA family of genes, which catalyze a rate-limiting step in the tryptamine (TAM) pathway for auxin production .

The importance of At1g63340 stems from its involvement in:

  • Auxin-mediated plant growth and development

  • Root and hypocotyl elongation

  • Vascular differentiation

  • Floral organ development

Research on At1g63340 contributes to our understanding of fundamental plant hormone signaling pathways that regulate multiple aspects of growth and development .

How can I confirm the specificity of an At1g63340 antibody?

To confirm specificity of an At1g63340 antibody, you should implement a multi-faceted validation approach:

  • Western blot analysis using:

    • Wild-type plant extracts (positive control)

    • At1g63340 knockout/knockdown mutants (negative control)

    • Recombinant At1g63340 protein (specificity control)

  • Immunoprecipitation followed by mass spectrometry to identify pulled-down proteins

  • Cross-reactivity testing against closely related YUCCA family proteins

  • Immunohistochemistry comparing expression patterns with known transcript data

Always include proper controls in each experiment, including no primary antibody controls, isotype controls, and pre-absorbed antibody controls .

What sample preparation methods are recommended for At1g63340 antibody applications?

ApplicationSample Preparation MethodBuffer RecommendationSpecial Considerations
Western BlotFresh tissue extraction in denaturing buffer with protease inhibitorsRIPA buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate, 0.1% SDS)Add DTT (1 mM) fresh before use
ImmunohistochemistryParaformaldehyde fixation (4%), paraffin embeddingPBS with 0.1% Tween-20 for washingUse antigen retrieval (citrate buffer pH 6.0)
ImmunoprecipitationGentle non-denaturing lysis50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40Keep samples at 4°C throughout
ELISAProtein extraction in non-denaturing bufferCarbonate buffer (pH 9.6) for coatingFilter samples before use

Optimization may be required for specific tissue types or developmental stages .

How should I design experiments to study At1g63340 expression in different plant tissues?

A comprehensive experimental design for studying At1g63340 expression should include:

  • Tissue selection and collection strategy:

    • Sample multiple tissues (roots, stems, leaves, flowers, and developing fruits)

    • Collect at different developmental stages

    • Include both light and dark-grown seedlings to account for light regulation

  • Technical approaches:

    • Western blot analysis for protein quantification

    • Immunohistochemistry for spatial localization

    • Quantitative immunoprecipitation for protein interaction studies

  • Controls to include:

    • Positive control: Tissues known to express At1g63340 (e.g., roots based on auxin biosynthesis patterns)

    • Negative control: At1g63340 knockout mutants

    • Loading control: Anti-actin or anti-tubulin antibodies

    • Specificity control: Pre-absorption with recombinant At1g63340 protein

  • Environmental variables to consider:

    • Light conditions (intensity, duration, quality)

    • Growth medium composition

    • Hormone treatments

    • Stress conditions

  • Statistical design:

    • Minimum of 3-5 biological replicates

    • Technical replicates for each assay

    • Randomized sampling design

This design allows for robust characterization of At1g63340 expression patterns while minimizing experimental artifacts .

What are the critical parameters for optimizing an ELISA assay using At1g63340 antibodies?

Optimizing an ELISA assay for At1g63340 requires careful consideration of several parameters:

ParameterRange to TestOptimization StrategyImpact on Assay
Antibody concentration0.1-10 μg/mlCheckerboard titrationAffects sensitivity and background
Blocking agentBSA, casein, milk proteinsCompare 3-5% solutionsReduces non-specific binding
Sample dilution1:2 to 1:100Serial dilutionsEnsures readings within standard curve
Substrate incubation time5-30 minutesTime course analysisCritical for signal development
Wash stringency3-5 washesVary number and durationRemoves unbound antibodies
Antigen coating bufferCarbonate (pH 9.6) vs. PBS (pH 7.4)Compare buffersAffects protein binding to plate
Detection antibody formatDirect HRP vs. biotin-streptavidinCompare signal amplificationInfluences sensitivity

Follow a factorial experimental design to identify parameter interactions, particularly between antibody dilution and substrate incubation time, which have shown significant interactions in similar assays .

For optimal results, test antibody lot-to-lot variation, as this can significantly impact assay performance. Standard curve reproducibility, assay detection limits, and coefficient of variation should all be evaluated to determine optimal conditions .

How can I use At1g63340 antibodies to investigate protein-protein interactions in auxin signaling pathways?

Investigating protein-protein interactions involving At1g63340 requires sophisticated approaches:

  • Co-immunoprecipitation (Co-IP):

    • Use anti-At1g63340 antibodies conjugated to magnetic beads

    • Extract proteins under native conditions from relevant tissues

    • Identify interaction partners through mass spectrometry

    • Confirm interactions with reciprocal Co-IP

  • Proximity Ligation Assay (PLA):

    • Allows detection of protein interactions in situ

    • Requires two antibodies (anti-At1g63340 and antibody against potential interactor)

    • Provides spatial information about interaction sites within cells

    • Quantify interaction signals across different tissues or conditions

  • Bimolecular Fluorescence Complementation (BiFC) validation:

    • Create fusion constructs of At1g63340 and potential partners

    • Transform plants and observe protein interactions in vivo

    • Use antibodies to confirm expression levels of fusion proteins

  • Analysis methodology:

    • Compare interaction patterns across:

      • Different developmental stages

      • Hormone treatments (especially auxin)

      • Environmental stresses

    • Perform hierarchical clustering of interaction networks

    • Validate key interactions with genetic approaches (double mutants, etc.)

This multi-method approach provides robust evidence for true interaction partners while minimizing false positives that can occur with single methods .

What approaches should I use when At1g63340 antibody results conflict with transcriptomic data?

When antibody-based protein detection results conflict with transcriptomic data for At1g63340, a systematic troubleshooting approach is necessary:

  • Verify antibody specificity:

    • Reconfirm using knockout/knockdown lines

    • Test for cross-reactivity with related YUCCA family proteins

    • Consider epitope accessibility in different experimental conditions

  • Investigate post-transcriptional regulation:

    • Measure mRNA stability using actinomycin D chase experiments

    • Assess potential miRNA regulation

    • Examine alternative splicing that might affect epitope presence

  • Analyze post-translational modifications:

    • Perform phosphorylation-specific Western blots

    • Use mass spectrometry to identify modifications

    • Test if modifications affect antibody recognition

  • Examine protein stability and turnover:

    • Conduct cycloheximide chase experiments

    • Investigate proteasome-dependent degradation

    • Assess protein half-life under different conditions

  • Reconciliation approach:

    • Create a temporal map comparing transcript and protein levels

    • Incorporate known delays between transcription and translation

    • Develop mathematical models accounting for synthesis and degradation rates

Data TypeAnalysis MethodExpected PatternInterpretation if Conflicting
RNA-seqTPM/FPKM quantificationExpression level across tissuesPossible post-transcriptional regulation
Protein (Western)Densitometry analysisProtein abundancePotential translation efficiency differences
Protein (IHC)Tissue localizationSpatial distributionPossible protein trafficking or compartmentalization
Protein (IP-MS)Interaction partnersCo-factors and complexesContext-dependent interactions

This comprehensive analysis can reveal important regulatory mechanisms governing At1g63340 expression and function that would be missed by examining either transcriptomic or proteomic data alone .

What are the advantages of using recombinant antibodies for At1g63340 compared to traditional antibodies?

Recombinant antibodies offer several significant advantages for At1g63340 research:

  • Defined sequence and reproducibility:

    • Sequence-defined antibodies can be replicated with identical binding properties

    • Eliminates batch-to-batch variation common in animal-derived antibodies

    • Ensures experimental reproducibility across different studies

  • Customizable properties:

    • Ability to modify binding affinity through directed mutation

    • Can add fusion tags for detection or purification

    • Option to create specialized formats (Fab fragments, bispecific antibodies)

  • Selection under defined conditions:

    • Can select antibodies under the exact biochemical conditions of intended use

    • Ability to counter-select against related YUCCA family proteins

    • Reduces cross-reactivity problems

  • Ethical considerations:

    • Eliminates need for animal immunization

    • Aligns with 3Rs principles (Replacement, Reduction, Refinement)

    • Complies with EU Directive 2010/63/EU recommendations

  • Production advantages:

    • Faster production timeline (weeks vs. months)

    • Unlimited supply without further animal use

    • Consistent performance over time

Comparative performance data from studies on other plant proteins shows:

ParameterTraditional PolyclonalTraditional MonoclonalRecombinant Antibody
Development time4-6 months6-8 months2-6 weeks
Batch consistencyLowModerateVery high
Epitope definitionLimitedModeratePrecisely defined
Specificity controlLimitedModerateHigh
Long-term availabilityLimitedDependent on hybridomaUnlimited
Modification potentialNoneLimitedExtensive

For studying complex plant signaling pathways involving At1g63340, these advantages make recombinant antibodies increasingly the preferred choice for researchers seeking reliable and reproducible results .

How can I develop recombinant antibodies against At1g63340 for my research?

Developing recombinant antibodies against At1g63340 involves several specialized steps:

  • Antigen preparation:

    • Express recombinant At1g63340 protein (full-length or immunogenic fragments)

    • Consider using both native and denatured forms for selection

    • Ensure proper folding of the flavin monooxygenase domain

    • Purify to >90% homogeneity

  • Library selection methods:

    • Phage display: Most common approach using large antibody libraries

    • Yeast display: Alternative with advantages for folded protein targets

    • Ribosome display: Useful for generating high-affinity binders

  • Selection strategy:

    • Perform 3-4 rounds of selection with increasing stringency

    • Include counter-selection against related YUCCA family proteins

    • Screen for antibodies that work in multiple applications

    • Include positive and negative selection conditions mimicking experimental use

  • Production optimization:

    • Test expression in multiple systems (E. coli, mammalian cells)

    • Optimize codon usage for expression system

    • Evaluate different purification strategies

    • Assess stability under storage conditions

For researchers without specialized equipment, several academic centers and companies offer custom recombinant antibody development services. Typical development costs range from $2,000-$5,000 USD, with timelines of 2-3 months for a completed project .

The resulting recombinant antibodies should be deposited in repositories like the Recombinant Antibodies & Mimetics Database with full sequence information to promote reproducibility in the research community .

What are common causes of non-specific binding with At1g63340 antibodies and how can they be resolved?

Non-specific binding is a common challenge when working with plant protein antibodies like those against At1g63340. Here are the primary causes and solutions:

For plant-specific considerations:

  • Plant tissues often contain compounds that interfere with antibody binding

  • PVPP (polyvinylpolypyrrolidone) addition to extraction buffers can reduce interference from phenolic compounds

  • TCA/acetone precipitation of proteins before Western blotting can improve specificity

  • Extended washing steps (5-6 washes of 10 minutes each) can significantly reduce background

How do I interpret and troubleshoot contradictory results from different application methods using At1g63340 antibodies?

When faced with contradictory results across different applications using At1g63340 antibodies, follow this systematic troubleshooting framework:

  • Epitope accessibility analysis:

    • Western blot: Detects denatured epitopes

    • Immunoprecipitation: Requires native conformation

    • Immunohistochemistry: Affected by fixation and embedding

    Action: Test antibody against both native and denatured recombinant protein to determine epitope requirements

  • Application-specific optimization:

    ApplicationCritical ParametersOptimization Approach
    Western BlotDenaturing conditionsTest reducing vs. non-reducing conditions
    Transfer efficiencyOptimize transfer time/buffer for large proteins
    Blocking agentCompare BSA vs. milk vs. commercial blockers
    ImmunoprecipitationBuffer stringencyTest low vs. high salt conditions
    Detergent typeCompare NP-40, Triton X-100, digitonin
    Incubation timeOptimize antibody binding time
    ImmunohistochemistryFixation methodCompare PFA, methanol, acetone fixation
    Antigen retrievalTest heat-induced vs. enzymatic retrieval
    Detection systemCompare direct vs. amplified detection
  • Reconciliation strategy:

    • Create a comparison matrix of results across methods

    • Identify patterns (e.g., works in denaturing but not native conditions)

    • Develop a unified model explaining discrepancies

    • Design targeted experiments to test the model

  • Additional validation approaches:

    • Use multiple antibodies targeting different epitopes

    • Confirm with orthogonal methods (e.g., mass spectrometry)

    • Leverage genetic tools (knockout/knockdown lines)

    • Consider reporter gene fusions as alternative approach

When interpreting results, remember that different applications reveal different aspects of protein biology. Contradictions often provide valuable insights into protein conformation, interactions, or modifications that would be missed using a single approach .

How can new antibody technologies advance our understanding of At1g63340 function in plant development?

Emerging antibody technologies offer significant potential to advance At1g63340 research:

  • Nanobodies (VHH antibodies):

    • Single-domain antibodies derived from camelid heavy chains

    • Smaller size (15 kDa) enables access to sterically hindered epitopes

    • Can penetrate dense plant tissues more effectively

    • Potential applications for At1g63340:

      • Intracellular targeting of specific protein pools

      • Super-resolution microscopy to visualize precise subcellular localization

      • In vivo modulation of protein activity

  • Proximity-dependent labeling:

    • Antibody-enzyme fusions (APEX, BioID, TurboID)

    • Map protein interaction networks in native cellular environments

    • For At1g63340 research:

      • Identify transient interaction partners in auxin biosynthesis pathway

      • Map spatial organization of enzyme complexes

      • Detect temporal changes in protein associations during development

  • Antibody-based biosensors:

    • Split fluorescent protein complementation

    • FRET/BRET-based detection systems

    • Potential to monitor:

      • At1g63340 conformational changes upon substrate binding

      • Real-time enzyme activity in living plants

      • Response to environmental stimuli or hormone treatments

  • Engineered antibody-based inhibitors:

    • Designed to block specific protein domains or interactions

    • Can create chemical-genetic tools for conditional inhibition

    • Applications for At1g63340:

      • Domain-specific inhibition to map structure-function relationships

      • Tissue-specific inhibition using promoter-driven expression

      • Temporal control using inducible systems

These technologies could help resolve several outstanding questions about At1g63340 function:

  • Precise catalytic mechanism in the auxin biosynthesis pathway

  • Regulation of enzyme activity by post-translational modifications

  • Temporal and spatial coordination with other YUCCA family members

  • Integration with environmental and developmental signaling networks

What methodological advances are needed to improve At1g63340 antibody research reproducibility?

Improving reproducibility in At1g63340 antibody research requires systematic methodological advances in several areas:

  • Standardized antibody validation protocols:

    • Implement minimum validation standards including:

      • Genetic knockout controls

      • Orthogonal detection methods

      • Cross-reactivity assessment against all YUCCA family members

      • Application-specific validation

    • Establish centralized validation repositories for plant antibodies

    • Develop standardized positive and negative control materials

  • Improved reporting practices:

    • Comprehensive documentation of:

      • Complete antibody identification (catalog number, lot, RRID)

      • Detailed experimental conditions

      • All optimization steps and controls

      • Raw image data availability

    • Implement structured reporting formats in publications

  • Technical improvements:

    • Quantitative approaches:

      • Absolute quantification using isotope-labeled standards

      • Digital PCR-equivalent methods for protein detection

      • AI-assisted image analysis for unbiased quantification

    • Multi-laboratory validation initiatives:

      • Ring trials for antibody performance

      • Collaborative projects testing the same antibodies across labs

  • Training and education:

    • Develop specialized training in:

      • Plant-specific antibody techniques

      • Validation methods

      • Appropriate controls

      • Data interpretation and troubleshooting

    • Create accessible resources and protocols

Challenge AreaCurrent LimitationProposed SolutionExpected Impact
Antibody specificityCross-reactivity with related proteinsPeptide epitope mapping and engineeringHigher confidence in target specificity
DocumentationIncomplete methods sectionsStandardized reporting templatesImproved reproducibility across labs
ControlsInconsistent use of proper controlsValidated control sample setsReliable interpretation of results
QuantificationSubjective image analysisAutomated quantification toolsReduced experimenter bias
ValidationSingle-method validationMulti-method orthogonal validationStronger evidence for antibody specificity

These methodological advances would not only improve At1g63340 antibody research but would benefit the broader plant research community by establishing higher standards for antibody-based studies .

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