At1g64107 Antibody

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Description

Definition and Context of "At1g64107"

At1g64107 is a gene identifier for Arabidopsis thaliana, annotated as encoding a putative protein of unknown function in the TAIR database. Despite its annotation, there is no evidence of:

  • Protein characterization studies

  • Antibody generation or validation efforts

  • Functional assays involving this gene product

Antibody Development and Validation Practices

While the search results do not address "At1g64107 Antibody," they provide insights into antibody characterization standards, which would apply to any novel antibody:

Key Requirements for Antibody Validation

Validation MethodDescriptionRelevance to Hypothetical "At1g64107 Antibody"
Genetic Strategies (KO/Knockdown)Confirm specificity using organisms lacking the target proteinNot performed for At1g64107
Orthogonal AssaysCompare results across independent methods (e.g., Western blot vs. ELISA)No data available
Immunocapture Mass SpectrometryIdentify proteins bound by the antibodyUnreported

These standards are critical for ensuring antibody reliability but have not been applied to "At1g64107" .

Potential Reasons for Lack of Data

  • Low Research Interest: At1g64107 is not linked to characterized pathways or phenotypes in Arabidopsis.

  • Technical Challenges: Antibody generation requires purified antigen or synthetic peptides, which may not exist for this uncharacterized protein.

  • Commercial Viability: Companies prioritize antibodies with proven demand, which is absent here .

Recommended Actions for Researchers

If pursuing studies on At1g64107:

  1. Generate Custom Antibodies: Use peptide sequences from the gene to immunize animals or produce recombinant antibodies.

  2. Validate Specificity: Apply the "five pillars" framework (genetic, orthogonal, recombinant, independent antibody, and immunocapture-MS validation) .

  3. Publish Characterization Data: Ensure transparency in methods and reproducibility.

Broader Implications

The absence of data on "At1g64107 Antibody" underscores gaps in plant proteomics. Similar challenges in antibody validation (e.g., cross-reactivity, poor reproducibility) are well-documented in human and animal systems . For example:

  • Over 50% of commercial antibodies fail specificity tests in standardized assays .

  • Recombinant antibodies show superior reproducibility compared to polyclonal sera .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At1g64107 antibody; F22C12Defensin-like protein 269 antibody
Target Names
At1g64107
Uniprot No.

Target Background

Database Links

KEGG: ath:AT1G64107

STRING: 3702.AT1G64107.1

UniGene: At.64166

Protein Families
DEFL family
Subcellular Location
Secreted.

Q&A

What methodologies are most effective for generating specific monoclonal antibodies against plant proteins?

Recent advances in antibody generation techniques have significantly improved specificity for plant protein targets. According to research by Sanford Burnham Prebys and Eli Lilly, fusion protein approaches can overcome traditional limitations in antibody production methods, particularly for proteins that form complexes . For plant proteins, the key steps include:

  • Antigen preparation: Using recombinant expression of the target protein in bacterial or insect cell systems

  • Immunization strategy: Multiple immunizations with purified protein at 2-3 week intervals

  • Hybridoma selection: High-throughput screening against both the immunogen and native protein

For proteins like At1g64107 that may interact with other proteins, the fusion protein approach demonstrated by researchers has shown promising results. This method involves creating a fusion construct that stabilizes the protein structure during the immunization process, leading to antibodies with enhanced specificity .

How can researchers confirm the specificity of antibodies for plant proteins?

Antibody specificity validation requires multiple complementary approaches:

Validation MethodApplicationExpected Outcome
Western blottingProtein size verificationSingle band at expected molecular weight
Cross-reactivity testingSpecificity assessmentNo binding to non-target proteins
Knockout/knockdown controlsUltimate specificity testAbsence of signal in knockout samples
Cross-blocking experimentsEpitope analysisCompetition between antibodies targeting the same region

Research has demonstrated that cross-blocking experiments can effectively determine whether different antibodies recognize the same epitope. As shown in studies with PD-1 antibodies, systematically testing whether unconjugated versions of different antibody clones prevent binding of labeled antibodies can reveal epitope relationships . Researchers were able to determine that while some antibodies (like 29F.1A12) completely prevented detection with nearly all other clones, others (like RMP1-14) did not interfere with detection by any other clone .

For Arabidopsis proteins specifically, studies have shown that well-characterized antibodies can bind specifically to their respective antigens without cross-reacting with other proteins, even those from the same family. Testing on protein chips containing 96 different Arabidopsis proteins confirmed that monoclonal anti-TCP1 antibody and anti-MYB6 and anti-DOF11 sera bound specifically only to their targets .

What are the optimal conditions for antibody validation in plant tissue samples?

Validation in plant tissue requires careful optimization of experimental conditions:

  • Fixation protocol: For immunohistochemistry, use 4% paraformaldehyde for 24-48 hours, depending on tissue density

  • Antigen retrieval: Heat-mediated (95-100°C) in citrate buffer (pH 6.0) for 20-30 minutes

  • Blocking solution: 5% normal serum from the same species as the secondary antibody plus 1% BSA

  • Antibody dilution series: Test multiple concentrations (typically 1:100 to 1:5000)

  • Incubation conditions: Overnight at 4°C for primary antibody; 1-2 hours at room temperature for secondary

Validation should include appropriate negative controls (isotype control, secondary-only, pre-immune serum) and positive controls (overexpression samples). When comparing antibody performance across different experimental conditions, researchers should maintain consistent sample preparation and detection methods to ensure comparable results .

How should researchers approach quantitative analysis when using antibodies for protein detection in plant samples?

Quantitative analysis requires rigorous standardization:

  • Standard curves: Prepare using recombinant protein at known concentrations

  • Reference samples: Include identical control samples across all experiments

  • Signal normalization: Use housekeeping proteins appropriate for the tissue/condition

  • Dynamic range assessment: Verify linearity of signal within the expected concentration range

  • Technical replicates: Minimum of three per biological sample

  • Biological replicates: Minimum of three independent biological samples

For accurate quantification, researchers should be aware of potential high/low molecular weight (H/LMW) species that may affect quantification. Studies have identified up to 58 unique H/LMW species from a single IgG1 monoclonal antibody, ranging from 10 kDa single chain fragments to 130 kDa triple chain fragments, some containing post-translational modifications . These fragments can significantly impact quantitative analysis if not properly accounted for.

What approaches should researchers use when developing antibodies for detecting protein complexes involving At1g64107?

Detecting protein complexes requires specialized antibody development strategies:

  • Complex-specific epitope targeting: Focus immunization on regions that are uniquely exposed in the complex

  • Fusion protein stabilization: Create artificial fusion constructs that maintain the complex conformation

  • Native condition preservation: Develop non-denaturing lysis and detection protocols

Recent research has demonstrated significant advances in generating monoclonal antibodies against protein complexes. Scientists from Sanford Burnham Prebys and Eli Lilly successfully developed antibodies against the BTLA-HVEM complex by creating a fusion protein that increased stability during the immunization process . This approach allowed for "direct measurement on live cells using a complex-specific monoclonal antibody," according to senior author Carl Ware .

For plant protein complexes, this fusion protein approach could be particularly valuable, as it overcomes the traditional limitation where protein complexes dissociate during the conventional immunization process .

How can researchers interpret contradictory results between different antibody-based detection methods?

When faced with contradictory results, systematic troubleshooting is essential:

  • Compare epitope locations: Different antibodies may recognize distinct regions affected differently by sample preparation

  • Evaluate assay conditions: Buffer composition, pH, and ionic strength affect antibody-antigen interactions

  • Assess post-translational modifications: Modifications may mask epitopes in certain assays

  • Consider protein conformation: Native vs. denatured states expose different epitopes

  • Examine cross-reactivity: Test against closely related proteins to confirm specificity

Research has shown that even well-characterized antibodies can yield contradictory results in different assay formats. For example, anti-AT1R antibodies detected by ELISA showed different clinical correlations compared to those detected by functional luminometric assays . In one study, the percent of anti-AT1R positivity was 14.86% using one method while 29.46% using another method (p = 0.019) .

This demonstrates the importance of employing multiple detection methods and understanding the molecular basis of antibody-antigen interactions. Researchers studying functional activity of anti-AT1R antibodies found that "the first studies on anti-AT1R- and -ETA1-antibodies were based on true functional assays," which provided different information than later developed solid-phase assays .

What strategies help overcome low antibody sensitivity when detecting low-abundance plant proteins?

Low-abundance protein detection requires enhanced sensitivity approaches:

  • Signal amplification systems: Tyramide signal amplification can increase sensitivity by 10-100 fold

  • Sample enrichment: Immunoprecipitation before detection concentrates target proteins

  • Enhanced detection methods: Chemiluminescent substrates with longer signal duration

  • Optimized blocking: Testing multiple blocking agents (milk, BSA, commercial blockers)

  • Extended primary antibody incubation: 48-72 hours at 4°C with gentle agitation

The choice of detection system significantly impacts sensitivity. Luminometric assays have demonstrated superior sensitivity for detecting functional antibodies compared to standard ELISA methods. In one study, researchers developed a novel luminometric assay using Chinese hamster ovary (CHO-K1) cells transfected with AT1R plasmid DNA and an aequorin/green fluorescence protein fusion plasmid . This approach provided quantitative results as relative light units (RLUs), enabling detection of functional antibody activity that might be missed by binding-only assays .

How can researchers accurately identify antibody fragments and cleavage products in their experimental samples?

Fragment identification requires specialized analytical techniques:

TechniqueApplicationResolution Level
cSDSInitial separationModerate
RP-HPLC MSFragment identificationHigh
RP-HPLC fraction analysisConnection to cSDS peaksHigh
Top-down MS/MSClipping site identificationPrecise

Research has demonstrated that reversed-phase high-performance liquid chromatography (RP-HPLC) combined with mass spectrometry provides high-resolution identification of antibody fragments. In one study, researchers identified 58 unique H/LMW species from an IgG1 mAb, including fragments ranging from 10 kDa single chain fragments to 130 kDa triple chain fragments . This approach allowed researchers to determine the exact clipping sites within the antibody structure .

For plant protein studies, similar approaches can help researchers distinguish between legitimate protein fragments and antibody degradation products, improving data interpretation and experimental reproducibility.

How can researchers optimize antibody-based protein microarray techniques for plant proteome studies?

Protein microarray optimization requires attention to several key factors:

  • Surface chemistry selection: Evaluate epoxide, aldehyde, and nitrocellulose surfaces for optimal protein binding

  • Protein denaturation prevention: Use stabilizing buffers containing glycerol and reducing agents

  • Spotting conditions: Optimize humidity (40-50%) and temperature (16-18°C)

  • Detection system selection: Compare direct labeling vs. sandwich detection methods

  • Data normalization: Include reference proteins across the array for signal normalization

Research with Arabidopsis protein chips has demonstrated the feasibility of this technology for investigating protein-protein and protein-DNA interactions in plant systems. Studies have shown that well-characterized antibodies, including monoclonal anti-TCP1 antibody and anti-MYB6 and anti-DOF11 sera, can maintain their specificity in the microarray format, binding only to their respective antigens without cross-reacting with other proteins on the chip .

What considerations are important when designing experiments to study post-translational modifications of plant proteins using antibodies?

Post-translational modification (PTM) studies require specialized approaches:

  • Modification-specific antibodies: Use antibodies that specifically recognize the PTM of interest

  • Sample preparation optimization: Prevent PTM loss during extraction (phosphatase inhibitors, deacetylase inhibitors)

  • Enrichment strategies: Employ affinity purification to concentrate modified proteins

  • Validation methods: Combine antibody detection with mass spectrometry confirmation

  • Control treatments: Include samples where modifications are enzymatically removed

Studies have shown that antibody-based methods can detect various post-translational modifications in proteins. Research using reversed-phase high-performance liquid chromatography identified antibody fragments "including some with post-translational modifications" . Similar approaches can be applied to plant proteins to study their modifications.

When investigating PTMs in plant proteins like At1g64107, researchers should consider using both antibodies that recognize the protein backbone and those specific to the modification of interest, allowing for determination of the modified proportion of the total protein pool.

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