At5g47250 Antibody

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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
At5g47250 antibody; MQL5.11Probable disease resistance protein At5g47250 antibody
Target Names
At5g47250
Uniprot No.

Target Background

Function
Putative disease resistance protein.
Database Links

KEGG: ath:AT5G47250

STRING: 3702.AT5G47250.1

UniGene: At.29906

Protein Families
Disease resistance NB-LRR family

Q&A

What is At5g47250 and why is it important in plant research?

At5g47250 is a gene locus in Arabidopsis thaliana that is related to plant immunity. It appears to be associated with disease resistance pathways, particularly those involving the SNC1 protein, which functions as a disease resistance protein in plants. The SNC1 protein plays a critical role in the plant immune response by repressing certain cellular processes when activated. Understanding this gene and its protein products is important for elucidating plant immune system mechanisms that can ultimately lead to improved crop resistance strategies .

What types of antibodies are available for At5g47250 research?

Based on current research protocols, anti-SNC1 polyclonal antibodies produced in rabbit have been generated against SNC1-specific peptides (such as RKTMTPSDDFGDC) by companies like GenScript. These antibodies are typically used for detection of the protein in various experimental applications including western blotting, immunoprecipitation, and immunolocalization studies . Both polyclonal and monoclonal antibodies may be available depending on the specific research requirements.

What are the basic applications of At5g47250 antibodies in plant research?

At5g47250 antibodies are primarily used to:

  • Detect the presence and abundance of the protein in plant tissues

  • Analyze protein expression patterns in different plant tissues or under various stress conditions

  • Study protein-protein interactions involving the At5g47250 gene product

  • Investigate subcellular localization of the protein

  • Examine post-translational modifications that may affect protein function

How should I optimize antibody concentration for western blot experiments with At5g47250?

Optimizing antibody concentration requires a systematic approach:

  • Begin with a titration experiment using a range of antibody dilutions (typically 1:500 to 1:5000)

  • Use both positive controls (tissues known to express the protein) and negative controls

  • Evaluate signal-to-noise ratio for each concentration

  • Consider cross-reactivity with other plant proteins

  • Adjust blocking conditions (5% non-fat milk or BSA) to minimize background

For At5g47250/SNC1 detection, researchers typically start with dilutions around 1:1000 and adjust based on signal intensity. The goal is to identify the lowest concentration that provides clear, specific signals while minimizing background .

What sample preparation methods yield the best results for At5g47250 antibody experiments?

For optimal results when working with plant proteins like At5g47250:

  • Harvest fresh plant tissue and flash-freeze in liquid nitrogen

  • Grind tissue thoroughly while maintaining cold temperature

  • Extract proteins using a buffer containing:

    • 50 mM Tris-HCl (pH 7.5)

    • 150 mM NaCl

    • 1% Triton X-100

    • Protease inhibitor cocktail

    • 1 mM DTT or β-mercaptoethanol

  • Clear lysates by centrifugation (16,000g, 15 min, 4°C)

  • Quantify protein concentration using Bradford or BCA assay

  • Store samples at -80°C with minimal freeze-thaw cycles

These methods help preserve protein integrity and maximize antibody detection efficiency .

How can I validate the specificity of At5g47250 antibodies?

Antibody validation is crucial for reliable results. For At5g47250 antibodies, consider these approaches:

  • Genetic controls: Test antibody against wild-type and knockout/knockdown plants lacking At5g47250 expression

  • Peptide competition assays: Pre-incubate antibody with the immunizing peptide before application

  • Multiple antibody verification: Use antibodies raised against different epitopes of the same protein

  • Immunoprecipitation followed by mass spectrometry: Confirm the identity of the precipitated protein

  • Recombinant protein controls: Test against purified recombinant At5g47250 protein at known concentrations

These validation steps help ensure that observed signals genuinely represent the target protein rather than non-specific binding .

How do antibody isotype and structure affect At5g47250 binding properties?

Antibody isotype can significantly influence binding properties through allosteric effects between constant and variable regions:

Antibody PropertyImpact on At5g47250 BindingMechanism
Isotype variationAltered binding affinityC region influences on V region conformation
CH1-VH interfaceModified paratope structureHydrophobic core residues affect rigidity
Hinge flexibilityDifferent epitope accessibilityAffects ability to bind complex epitopes
Fab arm angleChanged binding cooperativityImpacts bivalent binding to multivalent antigens

Research has shown that antibodies with identical variable regions but different isotypes (e.g., IgG1 vs. IgG3 vs. IgA) can exhibit significantly different binding kinetics and epitope specificities. For example, some studies have demonstrated up to 40-fold differences in binding affinity between isotypes with identical variable regions . When selecting antibodies for At5g47250 research, consider that these structural factors may influence experimental outcomes.

What computational approaches can predict cross-reactivity of At5g47250 antibodies?

Advanced computational methods can help predict potential cross-reactivity:

  • Epitope mapping: Identify the specific peptide sequence recognized by the antibody

  • Sequence homology analysis: Compare epitope sequence with proteome databases to identify similar sequences

  • Structural modeling: Use homology modeling to predict 3D structure of epitope-paratope interactions

  • Molecular dynamics simulations: Evaluate binding energetics and stability

  • Machine learning approaches: Train algorithms on known cross-reactivity data to predict new instances

For At5g47250 antibodies, particular attention should be paid to other NBS-LRR family proteins in Arabidopsis that may share sequence homology with the target epitope. Computational prediction can help select antibodies with minimal cross-reactivity or interpret unexpected experimental results .

How can kinetic modeling optimize At5g47250 antibody performance in complex assays?

Kinetic modeling provides powerful insights for optimizing antibody performance:

  • Parameter determination: Measure kon and koff rates using Surface Plasmon Resonance (SPR)

  • Avidity factor calculation: Determine the χ parameter (avidity factor) that characterizes bivalent binding capability

  • Target expression modeling: Account for At5g47250 expression levels when designing experiments

  • Incubation time optimization: Model the relationship between incubation time and binding saturation

  • Cross-linking efficiency prediction: Predict optimal antibody concentrations based on target density

Research has shown that antibodies with high ability to cross-link antigens have significant potency advantages. By determining the avidity factor (χ) for At5g47250 antibodies, researchers can select antibodies with optimal cross-linking properties for their specific application .

What are common causes of non-specific binding with At5g47250 antibodies?

Non-specific binding can confound experimental results. Common causes include:

  • Insufficient blocking: Inadequate blocking allows antibodies to bind non-specifically to the membrane

  • Excessive antibody concentration: Using too concentrated antibody solutions increases background

  • Sample overloading: Too much protein can lead to non-specific interactions

  • Cross-reactivity: Antibodies recognizing similar epitopes in other proteins

  • Inappropriate buffer conditions: Incorrect pH or salt concentration affecting antibody specificity

To minimize non-specific binding:

  • Optimize blocking conditions (try both BSA and milk-based blockers)

  • Use detergents like Tween-20 at 0.05-0.1% in wash buffers

  • Consider using specialized blocking reagents for plant samples

  • Pre-adsorb antibodies with plant extracts from knockout lines

How should I interpret contradictory results between different antibody-based detection methods?

When facing contradictory results across different methods:

  • Consider epitope accessibility: Different methods expose different protein epitopes

  • Evaluate protein conformational state: Native vs. denatured conditions affect epitope presentation

  • Assess method sensitivity thresholds: Each method has different detection limits

  • Examine buffer compatibility: Buffer components may interfere with antibody binding

  • Review antibody validation data: Not all antibodies perform equally across all applications

For At5g47250/SNC1 research, it's especially important to consider the protein's subcellular localization and potential post-translational modifications when interpreting contradictory results. The protein may be differentially processed or localized under various conditions, affecting epitope availability .

What controls are essential when studying At5g47250 protein interactions using co-immunoprecipitation?

Essential controls for co-immunoprecipitation experiments include:

  • Input control: A small portion of the pre-immunoprecipitation lysate

  • IgG control: Non-specific antibody of the same isotype

  • Bead-only control: Beads without antibody to detect non-specific binding

  • Knockout/knockdown control: Samples lacking the target protein

  • Reciprocal IP: Reverse the bait and prey to confirm interaction

  • Competitive peptide control: Add excess epitope peptide to block specific binding

For At5g47250/SNC1 specifically, consider also using protein extracts from cpr1 mutant plants, which show increased SNC1 protein levels, as a positive control for antibody specificity .

How does the SNC1 protein (At5g47250) interact with other components of plant immune pathways?

The SNC1 protein encoded by At5g47250 functions in a complex network of plant immunity components:

  • SNC1 has been shown to interact with transcriptional regulators like TPR1

  • It appears to repress certain small RNA pathways, including microRNA processing

  • The protein influences the accumulation of both microRNAs and tasiRNAs (trans-acting small interfering RNAs)

  • SNC1 is regulated by the F-box protein CPR1, which targets it for degradation

  • Mutations in CPR1 (such as cpr1-4) lead to SNC1 protein accumulation and constitutive defense activation

These interactions suggest that At5g47250/SNC1 functions as a regulatory hub in plant immune response pathways. Antibodies against this protein can help elucidate these complex interaction networks through techniques like co-immunoprecipitation and chromatin immunoprecipitation .

What are the advantages of using monoclonal versus polyclonal antibodies for At5g47250 research?

The choice between monoclonal and polyclonal antibodies entails important tradeoffs:

FeatureMonoclonal AntibodiesPolyclonal Antibodies
Epitope recognitionSingle epitopeMultiple epitopes
Batch-to-batch consistencyHighVariable
Production complexityMore complexSimpler
Cross-reactivityUsually lowerPotentially higher
Detection sensitivityMay be lowerOften higher
CostHigherLower
ApplicationsBetter for specific detectionBetter for capturing all forms of protein

How can At5g47250 antibodies be used to investigate protein localization changes during immune responses?

Investigating At5g47250/SNC1 protein localization during immune responses requires specialized approaches:

  • Subcellular fractionation: Separate cellular compartments (nucleus, cytoplasm, membrane) and analyze protein distribution using the antibody

  • Immunofluorescence microscopy: Fix and permeabilize cells, then use fluorescently-labeled secondary antibodies to visualize protein localization

  • Live cell imaging: Create fluorescently tagged versions of the protein to compare with antibody-based localization

  • Time-course analysis: Track localization changes at different time points after immune elicitation

  • Co-localization studies: Combine At5g47250 antibodies with markers for specific cellular compartments

Research suggests that SNC1 localization may shuttle between the cytoplasm and nucleus during immune responses, with nuclear localization being important for its function. Antibodies can help track these dynamic changes during pathogen challenge or in constitutive defense response mutants like cpr1 .

How might At5g47250 antibodies contribute to understanding cross-talk between plant immunity and developmental pathways?

At5g47250 antibodies can facilitate research into immunity-development cross-talk through:

  • Protein expression profiling: Track At5g47250/SNC1 levels across developmental stages

  • Chromatin immunoprecipitation sequencing (ChIP-seq): Identify target genes regulated by SNC1

  • Protein complex analysis: Identify developmental regulators that interact with SNC1

  • Tissue-specific localization: Examine protein distribution in different plant tissues

  • Post-translational modification analysis: Detect modifications that might integrate developmental and immune signals

Current research indicates that plant immune responses often come at the cost of growth and development. Antibodies against At5g47250/SNC1 can help uncover molecular mechanisms underlying this trade-off, potentially leading to strategies for crops with both enhanced immunity and maintained yield potential .

What emerging technologies might enhance At5g47250 antibody development and applications?

Several emerging technologies show promise for advancing At5g47250 antibody research:

  • Single-cell proteomics: Detecting protein expression at single-cell resolution

  • Nanobody development: Creating smaller antibody fragments with enhanced tissue penetration

  • CRISPR epitope tagging: Introducing tags at endogenous protein loci for improved antibody detection

  • Computational antibody design: Using AI to optimize antibody binding properties

  • Multiplexed immunoassays: Simultaneously detecting At5g47250 alongside other immune system components

  • Antibody engineering: Modifying constant regions for optimized binding properties based on allosteric effects

These technologies could address current limitations in sensitivity, specificity, and throughput when studying At5g47250 and related plant immunity proteins .

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