At1g11770 Antibody

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Description

Definition and Target

The At1g11770 antibody targets the protein product of the At1g11770 locus, a gene in Arabidopsis thaliana. While the exact biological function of this protein remains uncharacterized in the provided sources, antibodies like this are typically used to study protein expression, localization, and interactions in plant tissues .

Potential Research Applications

While no direct studies on At1g11770 are cited in the provided sources, analogous antibodies for Arabidopsis proteins are typically used for:

  • Western blotting: Detecting protein expression levels under experimental conditions.

  • Immunohistochemistry: Localizing proteins in plant tissues.

  • Functional studies: Investigating gene knockout or overexpression phenotypes .

Research Status and Limitations

  • No peer-reviewed studies on At1g11770 were identified in the provided sources.

  • Commercial data ([Source 3]) lacks mechanistic or functional details, highlighting the need for further experimental validation.

  • Specificity and cross-reactivity metrics (e.g., epitope mapping, validation in knockout models) are absent, a common limitation noted for some commercially available antibodies (e.g., AT1 receptor antibodies in ).

Future Directions

To advance understanding of At1g11770, researchers could:

  1. Perform knockout/overexpression assays to elucidate its role in Arabidopsis.

  2. Conduct protein interaction studies (e.g., yeast two-hybrid screens).

  3. Validate antibody specificity using CRISPR-edited plant lines .

Product Specs

Buffer
Preservative: 0.03% Proclin 300; Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
At1g11770 antibody; F25C20.7Berberine bridge enzyme-like 2 antibody; AtBBE-like 2 antibody; EC 1.1.1.- antibody
Target Names
At1g11770
Uniprot No.

Target Background

Database Links

KEGG: ath:AT1G11770

STRING: 3702.AT1G11770.1

UniGene: At.42110

Protein Families
Oxygen-dependent FAD-linked oxidoreductase family
Subcellular Location
Secreted, cell wall.

Q&A

What is At1g11770 and what is its functional role in Arabidopsis thaliana?

At1g11770 is a gene locus on chromosome 1 of Arabidopsis thaliana, encoding a protein that functions within plant cellular processes. While specific information on At1g11770 is limited in the current search results, it's important to note that Arabidopsis gene naming follows a consistent pattern where "At" indicates Arabidopsis thaliana, "1g" denotes chromosome 1, and "11770" is the specific gene identifier. This naming convention is similar to other documented Arabidopsis genes such as AT1G11860, which encodes the glycine cleavage T-protein involved in the mitochondrial conversion of glycine to serine during photorespiratory pathways .

How are antibodies against Arabidopsis proteins typically generated?

Antibodies against Arabidopsis proteins are commonly generated through strategic immunization protocols using either total protein extracts or purified protein antigens. For monoclonal antibody production, researchers often follow a systematic approach involving:

  • Antigen preparation: Using total proteins extracted from specific plant tissues (e.g., inflorescences) or purified target proteins

  • Immunization: Typically using mice as the host organism

  • Hybridoma development: Fusing antibody-producing B cells with myeloma cells

  • Screening: Initial antibody validation using Western blotting

  • Characterization: Determining tissue specificity and subcellular localization

This approach has been successfully implemented to generate libraries of monoclonal antibodies against Arabidopsis proteins, as demonstrated in studies where researchers created 61 monoclonal antibodies using total proteins from Arabidopsis inflorescences as antigens .

What are the common applications of plant protein antibodies in Arabidopsis research?

Plant protein antibodies serve multiple critical functions in Arabidopsis research:

ApplicationMethodologyInformation Obtained
Protein Expression AnalysisWestern Blot (WB)Protein size, expression levels across tissues
Localization StudiesImmunofluorescence MicroscopySubcellular and tissue-specific localization
Protein PurificationImmunoprecipitation (IP)Isolation of target proteins and complexes
Antigen CharacterizationMass Spectrometry (MS) following IPIdentification of precise antigens
Developmental StudiesImmunohistochemistryProtein expression during development

Researchers have successfully employed these techniques to categorize antibodies based on expression patterns (tissue-specific, preferential, or broad expression) and to identify antigens recognized by specific antibodies .

How should researchers validate the specificity of antibodies against Arabidopsis proteins?

Validating antibody specificity requires a multi-step approach to ensure reliable research outcomes:

  • Western Blot Analysis: Examine protein extracts from different tissues (leaves, stems, inflorescences) to confirm the antibody detects bands of expected molecular weight. Single-band detection suggests higher specificity, while multiple bands may indicate cross-reactivity or post-translational modifications .

  • Tissue Expression Profiling: Compare antibody reactivity across different organs to establish expression patterns (organ-specific, preferential, or broad expression). This helps categorize antibodies and validate their specificity for particular cellular contexts .

  • Knockout/Knockdown Controls: Test antibody reactivity in plants where the target gene has been silenced or knocked out, which should result in reduced or absent signal.

  • Immunoprecipitation followed by Mass Spectrometry: This approach can definitively identify the antigen recognized by the antibody, as demonstrated in studies where researchers enriched antigens using IP and subsequently identified them through MS analysis .

What controls should be included when using antibodies for Arabidopsis protein detection?

Proper experimental controls are essential for accurate interpretation of results:

  • Positive Controls: Include samples known to express the target protein at high levels, based on previous expression data. For instance, if the antibody shows higher reactivity in stem tissues, these samples should be included as positive controls .

  • Negative Controls:

    • Primary antibody omission

    • Secondary antibody only

    • Pre-immune serum (for polyclonal antibodies)

    • Tissues from knockout/knockdown plants

  • Loading Controls: Include detection of constitutively expressed proteins to normalize for loading variations.

  • Cross-Reactivity Controls: Test antibody against recombinant protein or closely related proteins to assess potential cross-reactivity.

  • Isotype Controls: For monoclonal antibodies, include an irrelevant antibody of the same isotype (e.g., IgM for CCRC M36 antibody) to control for non-specific binding .

How can researchers optimize immunoprecipitation protocols with Arabidopsis protein antibodies?

Optimizing immunoprecipitation for plant proteins requires addressing specific challenges related to plant tissue composition:

  • Protein Extraction Optimization:

    • Use buffers containing appropriate detergents (e.g., CHAPS, Triton X-100)

    • Include protease inhibitors to prevent degradation

    • Optimize cell disruption methods for complete protein extraction

  • Antibody Binding Conditions:

    • Determine optimal antibody concentration through titration

    • Optimize incubation time and temperature (typically 4°C overnight)

    • Consider pre-clearing lysates to reduce non-specific binding

  • Protein A/G Bead Selection:

    • Select appropriate beads based on antibody isotype (e.g., IgM antibodies like CCRC M36 may require specific bead types)

    • Determine optimal bead volume and binding capacity

  • Elution and Analysis:

    • Compare different elution methods (pH, ionic strength, competitive)

    • Validate IP success by Western blot before proceeding to mass spectrometry

This approach has successfully identified antigens for several Arabidopsis antibodies, including FtsH protease 11 (AT5G53170), glycine cleavage T-protein (AT1G11860), and casein lytic proteinase B4 (AT2G25140) .

How can researchers use antibodies to study protein-protein interactions in Arabidopsis?

Studying protein-protein interactions using antibodies requires specialized approaches:

  • Co-Immunoprecipitation (Co-IP):

    • Optimize buffer conditions to maintain native protein complexes

    • Use mild detergents to preserve protein-protein interactions

    • Perform reciprocal Co-IPs when antibodies to multiple proteins are available

    • Validate interactions through Western blot and mass spectrometry

  • Proximity Ligation Assay (PLA):

    • Requires antibodies from different species or isotypes

    • Optimized for plant tissue sections or fixed cells

    • Provides spatial information about protein interactions

  • Immunofluorescence Co-localization:

    • Use combinations of antibodies with distinct fluorophores

    • Optimize fixation methods to preserve antigen accessibility

    • Apply advanced imaging techniques (confocal, super-resolution)

  • Crosslinking Immunoprecipitation (CLIP):

    • Stabilize transient interactions before extraction

    • Optimize crosslinking conditions for plant tissues

    • Reverse crosslinks before final analysis

These approaches can reveal functional interactions between the protein encoded by At1g11770 and other cellular components, providing insights into its biological role.

How should researchers interpret variations in antibody reactivity across different experimental conditions?

Variations in antibody reactivity can stem from multiple factors that require careful interpretation:

  • Biological Factors:

    • Developmental regulation of protein expression

    • Tissue-specific protein modifications

    • Protein degradation or processing

    • Protein complex formation affecting epitope accessibility

  • Technical Factors:

    • Fixation methods affecting epitope preservation

    • Buffer components interfering with antibody binding

    • Sample preparation techniques altering protein conformation

    • Antibody batch variations

  • Interpretative Framework:

    • Establish baseline reactivity across standard conditions

    • Document systematic variations across experimental parameters

    • Consider genetic background effects on protein expression

    • Analyze variations in the context of biological pathways

Understanding these variations is critical for distinguishing genuine biological effects from technical artifacts, particularly when examining complex plant systems where protein expression can be highly regulated by developmental and environmental factors .

What approaches can resolve contradictory results when using antibodies against Arabidopsis proteins?

When facing contradictory results with antibodies against plant proteins, researchers should implement a systematic troubleshooting approach:

  • Verify Antibody Specificity:

    • Revalidate antibody using knockout/knockdown controls

    • Perform epitope mapping to confirm recognition site

    • Consider testing multiple antibodies targeting different epitopes

  • Examine Experimental Conditions:

    • Standardize protein extraction methods across experiments

    • Control for post-translational modifications affecting epitope recognition

    • Evaluate buffer components that might interfere with antibody binding

  • Statistical Analysis:

    • Increase biological and technical replicates

    • Apply appropriate statistical tests to determine significance

    • Consider power analysis to ensure adequate sample size

  • Consider Interaction Effects:

    • Examine potential genetic background influences

    • Evaluate environmental conditions affecting protein expression

    • Assess developmental timing differences

  • Alternative Approaches:

    • Complement antibody data with transcript analysis

    • Use tagged protein expression for verification

    • Apply proteomics approaches for independent validation

Identifying the sources of inconsistency requires greater statistical power than detecting main effects, as interactions and modifiers can significantly impact experimental outcomes .

How can researchers use antibodies to study post-translational modifications of Arabidopsis proteins?

Studying post-translational modifications (PTMs) of plant proteins requires specialized antibody approaches:

  • Modification-Specific Antibodies:

    • Use antibodies that specifically recognize common PTMs (phosphorylation, glycosylation, ubiquitination)

    • Validate specificity using synthetic peptides with and without modifications

    • Consider generating custom antibodies against specific modified epitopes

  • Sequential Immunoprecipitation:

    • First IP with protein-specific antibody

    • Second IP with modification-specific antibody

    • Analysis by Western blot or mass spectrometry

  • 2D-Gel Electrophoresis:

    • Separate proteins by charge and molecular weight

    • Detect with protein-specific antibody

    • Identify modified forms by shift patterns

  • Mass Spectrometry Integration:

    • Enrich target protein using the antibody

    • Analyze PTMs using high-resolution mass spectrometry

    • Map modifications to specific amino acid residues

This multi-faceted approach can reveal how PTMs regulate the function, localization, or stability of the protein encoded by At1g11770 under different conditions.

What considerations are important when using antibodies for quantitative analysis of Arabidopsis proteins?

Quantitative analysis using antibodies requires careful attention to methodological details:

  • Standard Curve Generation:

    • Use purified recombinant protein at known concentrations

    • Establish linear detection range for each antibody

    • Generate standard curves for each experimental batch

  • ELISA Development:

    • Optimize antibody concentrations for coating and detection

    • Establish blocking conditions to minimize background

    • Validate assay specificity using knockout/knockdown samples

  • Western Blot Quantification:

    • Use gradient loading of standards on each blot

    • Apply appropriate normalization to loading controls

    • Use digital image acquisition within linear range

  • Statistical Considerations:

    • Perform power analysis to determine sample size requirements

    • Account for technical and biological variability

    • Apply appropriate statistical tests for comparisons

  • Assay Validation:

    • Determine assay precision (intra- and inter-assay variability)

    • Establish limits of detection and quantification

    • Confirm specificity using competitive inhibition

The CCRC M36 antibody against Arabidopsis Rhamnogalacturonan I, for example, has been validated for ELISA applications, demonstrating how plant antibodies can be effectively used for quantitative analysis when properly optimized .

How might emerging technologies enhance the utility of antibodies in Arabidopsis research?

Emerging technologies are expanding the potential applications of antibodies in plant research:

  • Single-Cell Proteomics:

    • Integration with microfluidics for cell-specific protein analysis

    • Combination with single-cell RNA-seq for multi-omics approaches

    • Development of ultrasensitive detection methods for low-abundance proteins

  • Advanced Imaging:

    • Super-resolution microscopy for subcellular localization

    • Expansion microscopy for enhanced spatial resolution

    • Live-cell imaging with membrane-permeable antibody fragments

  • Antibody Engineering:

    • Development of plant-optimized nanobodies

    • Creation of bispecific antibodies for complex detection

    • Generation of recombinant antibody libraries against plant proteomes

  • High-Throughput Applications:

    • Antibody arrays for proteome-wide profiling

    • Automated immunoprecipitation platforms

    • Integration with robotics for standardized protocols

These technological advances will enable more precise, sensitive, and comprehensive studies of plant proteins like that encoded by At1g11770, facilitating deeper understanding of their functions in plant biology.

How can researchers integrate antibody-based approaches with other omics technologies?

Integrating antibody-based approaches with other omics technologies creates powerful research strategies:

  • Multi-Omics Integration:

    • Correlate protein levels (antibody detection) with transcript levels (RNA-seq)

    • Map protein interactions (Co-IP) to genetic interactions (synthetic genetics)

    • Connect protein localization (immunofluorescence) with metabolite distribution (metabolomics)

  • Systems Biology Approaches:

    • Use antibody-derived protein data to validate network models

    • Incorporate protein-level information into pathway analyses

    • Develop predictive models incorporating protein dynamics

  • Functional Genomics Connections:

    • Link antibody-detected protein levels to phenotypic outcomes

    • Connect protein interactions with genetic dependencies

    • Correlate protein modifications with functional changes

This integrative approach provides a comprehensive understanding of plant biology by connecting different layers of biological information, offering insights into how genes like At1g11770 contribute to plant development, physiology, and responses to environmental stimuli.

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