At5g48550 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
At5g48550 antibody; K15N18.1F-box protein At5g48550 antibody
Target Names
At5g48550
Uniprot No.

Q&A

Basic Research Questions

  • What is the target protein of At5g48550 Antibody and what functional roles does it play in Arabidopsis thaliana?

The At5g48550 Antibody targets a specific protein in Arabidopsis thaliana (Mouse-ear cress) identified by UniProt accession number Q1PDL6. This protein belongs to the broader family of plant proteins involved in cellular signaling pathways. When investigating the protein's function, researchers should employ multiple complementary approaches:

  • Gene ontology analysis to predict biological functions

  • Knockout/knockdown studies to observe phenotypic effects

  • Protein interaction studies using co-immunoprecipitation

  • Subcellular localization experiments to determine compartmentalization

  • Expression analysis under various stress conditions to identify regulatory roles

The antibody enables detection of this protein across different experimental contexts, supporting functional characterization through multiple methodological approaches.

  • What experimental applications are most suitable for At5g48550 Antibody in plant molecular biology research?

The At5g48550 Antibody can be utilized across multiple experimental platforms with appropriate optimization:

ApplicationRecommended DilutionSample PreparationExpected Results
Western Blot1:1000-1:2000Denaturing protein extractionSingle band at predicted MW
Immunoprecipitation1:100-1:200Native protein extractionEnrichment of target protein
Immunohistochemistry1:200-1:500Fixed tissue sectionsSpecific cellular localization
ELISA1:500-1:1000Purified protein/extractsQuantitative detection
ChIP5-10 μg per reactionCrosslinked chromatinDNA-protein interactions

For each application, methodological optimization is essential. Begin with validation experiments using positive controls (wild-type Arabidopsis tissue) and negative controls (pre-immune serum or knockout lines if available) to establish specificity before proceeding to experimental samples .

  • What are the optimal sample preparation protocols for Arabidopsis tissues when using At5g48550 Antibody?

Proper sample preparation significantly impacts experimental outcomes. For Arabidopsis thaliana tissues:

For protein extraction (Western blot/IP applications):

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

  • Grind thoroughly to fine powder while maintaining freezing temperatures

  • Extract using buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100

  • Include protease inhibitor cocktail to prevent degradation

  • Centrifuge at 12,000g for 15 minutes at 4°C to remove debris

  • Quantify protein concentration using Bradford or BCA assay

  • Store aliquots at -80°C to avoid freeze-thaw cycles

For immunohistochemistry:

  • Fix tissue in 4% paraformaldehyde for 24 hours at 4°C

  • Dehydrate through ethanol series (50%, 70%, 95%, 100%)

  • Clear with xylene and embed in paraffin

  • Section to 5-7 μm thickness

  • Perform antigen retrieval using citrate buffer (pH 6.0)

  • Block with 5% normal serum from secondary antibody host species

The extraction protocol should be optimized based on the subcellular localization of the target protein, with modifications for membrane-associated or nuclear proteins .

  • How should researchers validate the specificity of At5g48550 Antibody for their experimental systems?

Thorough antibody validation is essential for meaningful results. A systematic validation approach includes:

  • Western blot analysis to confirm single band of expected molecular weight

  • Comparison of signal between wild-type and At5g48550 knockout/knockdown lines

  • Pre-adsorption tests with purified antigen (if available)

  • Cross-reactivity assessment against related Arabidopsis proteins

  • Signal detection across different tissue types with known expression patterns

  • Comparison with orthogonal detection methods (e.g., GFP fusion proteins)

Validation MethodApproachExpected ResultInterpretation
Genetic controlCompare WT vs. knockoutSignal in WT, absent in knockoutConfirms specificity
Peptide competitionPre-incubate with immunizing peptideSignal reduction/eliminationConfirms epitope specificity
Tissue specificityTest tissues with known expressionSignal correlates with expressionConfirms biological relevance
Technical reproducibilityMultiple antibody lotsConsistent resultsConfirms reagent reliability

Documentation of validation experiments should be maintained for publication and reproducibility purposes .

  • What troubleshooting approaches are recommended when At5g48550 Antibody experiments yield suboptimal results?

When experiments with At5g48550 Antibody produce suboptimal results, systematic troubleshooting is essential:

For weak or absent signals:

  • Verify protein expression in selected tissues/conditions

  • Increase antibody concentration or extend incubation time

  • Optimize protein extraction protocol for specific compartments

  • Try alternative antigen retrieval methods for IHC applications

  • Reduce washing stringency to preserve weak interactions

For high background or non-specific binding:

  • Increase blocking time and concentration (5% BSA or milk)

  • Add 0.1-0.3% Tween-20 to reduce hydrophobic interactions

  • Increase salt concentration in wash buffers (up to 500 mM NaCl)

  • Pre-clear lysates with Protein A/G beads before antibody application

  • Titrate antibody concentration to identify optimal signal-to-noise ratio

For inconsistent results between experiments:

  • Standardize all protocol parameters (incubation times, temperatures)

  • Prepare fresh reagents for each experiment

  • Use positive and negative controls consistently

  • Document lot-to-lot variations in antibody performance

Methodical adjustment of these parameters should resolve most technical issues encountered in plant antibody applications .

Advanced Research Questions

  • How can researchers optimize At5g48550 Antibody for co-immunoprecipitation studies to identify protein interaction partners?

Co-immunoprecipitation (Co-IP) with At5g48550 Antibody requires careful optimization:

Methodological considerations:

  • Preserve protein-protein interactions by using gentle lysis buffers (e.g., 20 mM HEPES pH 7.5, 150 mM NaCl, 0.5% NP-40)

  • Include protease and phosphatase inhibitors to maintain protein integrity

  • Perform crosslinking (1% formaldehyde, 10 min) to stabilize transient interactions

  • Pre-clear lysates with Protein A/G beads to reduce non-specific binding

  • Optimize antibody concentration (typically 2-5 μg per mg of protein lysate)

  • Include appropriate controls (IgG control, knockout/knockdown lines)

For identifying novel interaction partners:

  • Elute immunoprecipitates for mass spectrometry analysis

  • Compare proteins identified in experimental vs. control samples

  • Validate interactions using reciprocal Co-IP or alternative methods (Y2H, BiFC)

  • Assess biological relevance through co-localization studies

StepCritical ParametersOptimization Strategy
Lysate preparationBuffer composition, protein concentrationTest multiple buffer conditions
Pre-clearingBead amount, incubation timeTitrate to minimize background
Antibody bindingAntibody:lysate ratio, incubation timeDetermine optimal concentration
WashingBuffer stringency, number of washesBalance between specificity and sensitivity
ElutionMethod, conditionsMatch to downstream applications

Crosslinking strength and duration should be carefully optimized to capture genuine interactions while minimizing artifacts .

  • What advanced imaging approaches can researchers employ when using At5g48550 Antibody for subcellular localization studies?

For high-resolution subcellular localization studies with At5g48550 Antibody:

Super-resolution microscopy techniques:

  • Structured Illumination Microscopy (SIM) for 2x resolution improvement

  • Stochastic Optical Reconstruction Microscopy (STORM) for nanoscale resolution

  • Stimulated Emission Depletion (STED) microscopy for detailed organelle structures

Multi-channel co-localization approaches:

  • Select organelle markers with non-overlapping fluorophore spectra

  • Use sequential scanning to minimize bleed-through

  • Apply appropriate controls (single-channel, secondary-only)

  • Quantify co-localization using Pearson's or Mander's coefficients

Live-cell imaging considerations:

  • Create fluorescently-tagged protein constructs to complement antibody studies

  • Validate functionality of fusion proteins

  • Compare fixed vs. live imaging results to identify potential fixation artifacts

Image processing and analysis:

  • Apply deconvolution to improve signal-to-noise ratio

  • Use quantitative co-localization analysis software

  • Generate intensity profiles across cellular regions

  • Perform statistical analysis across multiple cells/experiments

These approaches can reveal detailed information about protein dynamics and interactions within specific cellular compartments that may not be apparent with standard immunofluorescence techniques .

  • How does post-translational modification status affect At5g48550 protein detection with this antibody?

Post-translational modifications (PTMs) can significantly impact antibody recognition of the target protein:

Phosphorylation effects:

  • Determine if the antibody epitope contains potential phosphorylation sites

  • Compare detection with and without phosphatase treatment

  • Use phos-tag gels to separate phosphorylated from non-phosphorylated forms

  • Include phosphatase inhibitors in extraction buffers to preserve modification state

Other relevant PTMs:

  • Glycosylation may alter protein mobility and epitope accessibility

  • Ubiquitination can create higher molecular weight species

  • SUMOylation may affect protein localization and detection

Experimental approaches to assess PTM effects:

  • Treat samples with specific enzymes to remove modifications

  • Compare detection under different physiological conditions known to affect PTM status

  • Use mass spectrometry to identify specific modification sites

  • Develop modification-specific antibodies for comprehensive analysis

PTM TypeDetection StrategyMethodological Considerations
PhosphorylationPhos-tag gels, phosphatase treatmentInclude phosphatase inhibitors in lysis
GlycosylationPNGase F treatment, mobility shiftMay require specialized extraction buffers
UbiquitinationHigher MW bands, ubiquitin co-detectionUse deubiquitinase inhibitors
SUMOylationSUMO-specific antibodies, size shiftLow abundance may require enrichment

Understanding the impact of PTMs is critical for accurate interpretation of experimental results, especially when studying proteins involved in signaling pathways .

  • What quantitative approaches can researchers use to measure At5g48550 protein expression levels across different experimental conditions?

For quantitative analysis of At5g48550 protein expression:

Western blot quantification:

  • Use gradient gels for optimal separation

  • Transfer to low-fluorescence PVDF membranes for fluorescent detection

  • Include internal loading controls (anti-actin, anti-tubulin)

  • Generate standard curves using recombinant protein (if available)

  • Apply densitometry with appropriate software (ImageJ, Image Lab)

  • Normalize to total protein using stain-free technology or Ponceau staining

ELISA-based quantification:

  • Develop sandwich ELISA using capturing and detection antibodies

  • Generate standard curves with purified protein

  • Optimize blocking and washing conditions for plant samples

  • Apply technical replicates (n=3) for each biological sample

Mass spectrometry approaches:

  • Use targeted MS methods (MRM/PRM) for absolute quantification

  • Include isotopically labeled peptide standards

  • Select appropriate normalization strategies

  • Apply statistical analysis for differential expression

Quantification MethodSensitivity RangeAdvantagesLimitations
Western blot0.1-10 ngSemi-quantitative, visual verificationLimited dynamic range
ELISA0.01-1 ngHigh throughput, quantitativeRequires validated antibody pair
MS (MRM/PRM)0.001-0.1 ngAbsolute quantification, high specificityComplex sample preparation
Flow cytometryCell-level resolutionSingle-cell analysisRequires cell suspension

Statistical analysis should include appropriate normalization, tests for significance, and reporting of biological and technical replicates .

  • How can At5g48550 Antibody be incorporated into chromatin immunoprecipitation (ChIP) studies to investigate protein-DNA interactions?

For researchers investigating potential DNA-binding properties of At5g48550 protein:

ChIP protocol optimization:

  • Harvest 1-2g of Arabidopsis tissue and crosslink with 1% formaldehyde

  • Quench with 125 mM glycine and isolate nuclei

  • Sonicate chromatin to 200-500 bp fragments

  • Verify sonication efficiency by agarose gel electrophoresis

  • Immunoprecipitate with 5-10 μg At5g48550 Antibody per reaction

  • Include appropriate controls (input DNA, IgG control)

  • Reverse crosslinks and purify DNA for analysis

Downstream analysis options:

  • qPCR for targeted regions of interest

  • ChIP-seq for genome-wide binding profile

  • ChIP-exo for base-pair resolution of binding sites

  • CUT&RUN for improved signal-to-noise ratio

Validation approaches:

  • Motif analysis of identified binding regions

  • Correlation with transcriptional changes

  • Reporter gene assays for functional validation

  • Comparison with published ChIP-seq datasets

Analysis MethodResolutionData OutputBioinformatic Analysis
ChIP-qPCRSelected regionsFold enrichmentSimple statistical comparison
ChIP-seqGenome-wideBinding peaksPeak calling, motif analysis
ChIP-exoBase-pairPrecise binding sitesSpecialized peak analysis
CUT&RUNImproved specificityCleaner peaksStandard ChIP-seq pipelines

This approach is particularly valuable for proteins with potential roles in transcriptional regulation or chromatin organization. The experimental design should incorporate appropriate positive controls (e.g., known DNA-binding proteins) to validate the protocol .

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