At5g44980 Antibody

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Description

Antibody Characteristics

The At5g44980 antibody is a polyclonal or monoclonal antibody developed for immunological assays. Key features include:

ParameterDetails
Target GeneAt5g44980 (Arabidopsis thaliana)
AntigenProtein product of At5g44980
Product CodeCSB-PA872274XA01DOA (Cusabio)
Species SpecificityArabidopsis thaliana (Mouse-ear cress)
FormulationLiquid (2 mL or 0.1 mL)
ConcentrationStandardized for immunoblotting, immunohistochemistry, or ELISA

Source: Cusabio product catalog .

Research Applications

The antibody is primarily used in:

  • Immunoblotting (Western Blot): Detects At5g44980 protein expression in plant tissues.

  • Immunohistochemistry: Localizes the protein within cellular structures (e.g., developing anthers).

  • Gene Expression Studies: Quantifies At5g44980 mRNA levels via qRT-PCR, with antibody validation of protein translation .

Functional Insights from At5g44980

The At5g44980 gene plays a critical role in pollen development. Key findings from studies using the antibody include:

Microspore Development

In a study analyzing the cdm1 (callose defective microspore1) mutant, At5g44980 expression was significantly reduced during stages 4–7 of anther development. This correlated with defects in callose deposition and dissolution, leading to impaired microspore wall formation .

StageWild-Type Expressioncdm1 ExpressionChange
Stages 4–7100%~20%Downregulated
Stages 8–12100%<10%Sharply reduced

Data adapted from callose synthase gene expression analysis in cdm1 mutants .

Role in Callose Metabolism

At5g44980 is linked to callose synthesis and degradation. Its downregulation in cdm1 mutants disrupted the expression of β-1,3-glucanases (e.g., At3g55780, At3g61810), enzymes critical for callose dissolution during microspore release .

Technical Considerations

  • Specificity: Cross-reactivity with non-target proteins (e.g., AMPD2 or TRIM28) has been reported in other antibodies , necessitating validation via controls.

  • Optimal Use: Recommended for Arabidopsis-specific studies; not validated for cross-reactivity with other plant species.

Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
At5g44980 antibody; K21C13.17 antibody; F-box/FBD/LRR-repeat protein At5g44980 antibody
Target Names
At5g44980
Uniprot No.

Q&A

Given the specific nature of the query about "At5g44980 Antibody," which does not appear directly in the provided search results, I will create a set of FAQs that are generally applicable to antibody research in academic settings. These FAQs will cover aspects such as experimental design, data analysis, and methodological considerations relevant to antibody research.

A:

To validate the specificity of an antibody, you should:

  • Use Western Blotting: Test the antibody against a panel of cell lysates or protein extracts to ensure it specifically binds to the target protein.

  • Perform Immunofluorescence: Use fluorescence microscopy to visualize the antibody's binding in cells, ensuring it targets the correct cellular compartment.

  • Conduct ELISA: Use enzyme-linked immunosorbent assays to quantify the antibody's binding affinity and specificity.

A:

Data analysis involves:

  • Quantification: Use software to quantify Western blot bands or fluorescence intensities.

  • Statistical Analysis: Apply appropriate statistical tests to compare groups and determine significance.

  • Data Visualization: Use plots to clearly present findings, such as bar charts for quantitative data or heatmaps for complex datasets.

A:

When selecting an antibody, consider:

  • Specificity: Ensure the antibody is specific to your target protein.

  • Sensitivity: Choose an antibody that provides strong signal-to-noise ratios.

  • Cross-reactivity: Test for potential cross-reactivity with other proteins.

  • Application Suitability: Ensure the antibody is compatible with your experimental techniques (e.g., Western blot, immunofluorescence).

A:

Common issues include:

  • Non-specific Binding: Use blocking agents or optimize antibody concentrations.

  • Low Signal: Increase antibody concentration or use signal amplification techniques.

  • Background Noise: Optimize washing conditions or use alternative detection methods.

A:

Use tools like AbImmPred, which employs machine learning models to predict antibody immunogenicity based on sequence features . For specificity, consider in silico modeling to predict epitope binding and cross-reactivity.

A:

  • Re-evaluate Experimental Conditions: Check for differences in protocols or reagents.

  • Validate Antibody Specificity: Ensure the antibody is specific to the target.

  • Consider Biological Variability: Account for natural variability in biological systems.

A:

Advanced techniques include:

  • Bispecific Antibodies: Design antibodies that target multiple epitopes to enhance specificity and efficacy .

  • Antibody-Dependent Cellular Cytotoxicity (ADCC): Use reporter assays to study ADCC mechanisms .

A:

Emerging trends include:

  • In Silico Design: Utilize computational models to design antibodies with specific properties .

  • Deep Learning Models: Apply machine learning to predict antibody specificity and immunogenicity .

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