The At5g63820 Antibody (Product Code: CSB-PA861856XA01DOA) targets the protein encoded by the At5g63820 gene in Arabidopsis thaliana. This antibody is part of a catalog of custom antibodies designed for plant biology research, particularly for investigating protein expression, localization, and functional roles in model organisms .
Though direct studies using the At5g63820 Antibody are not publicly documented, analogous plant antibodies illustrate its potential utility:
Protein Localization:
Interaction Studies:
Employ co-immunoprecipitation (Co-IP) to identify binding partners.
Expression Profiling:
Quantify protein levels under abiotic stress (e.g., heat, UV exposure) via WB.
Antibodies targeting adjacent Arabidopsis genes (e.g., At5g63930, At5g59680) have been used to:
The At5g63820 Antibody is commercially available through Cusabio (Catalog: CSB-PA861856XA01DOA) .
Specificity: Epitope sequence (1–30 aa) ensures minimal cross-reactivity .
Validation: Recommended controls include knockout Arabidopsis lines or peptide-blocking assays.
Limitations: No peer-reviewed studies explicitly using this antibody are available; users must validate independently.
Research with the At5g63820 Antibody could explore:
Functional genomics: Link protein expression to phenotypic traits in Arabidopsis mutants.
Systems biology: Integrate omics data to map At5g63820’s role in regulatory networks.
The At5g63820 Antibody can be utilized in multiple experimental applications common to plant molecular biology research. Based on similar plant antibodies, the following applications have proven effective:
Western Blotting (WB): For detecting and quantifying At5g63820 protein expression levels under various experimental conditions or in different plant tissues.
Immunohistochemistry (IHC): For visualizing protein localization within plant tissue sections, providing insights into spatial distribution patterns.
Immunofluorescence (IF): For subcellular localization studies, often combined with confocal microscopy to determine where the protein functions within plant cells.
Co-immunoprecipitation (Co-IP): For identifying protein-protein interactions, helping to elucidate the role of At5g63820 in protein complexes and signaling networks.
Chromatin Immunoprecipitation (ChIP): If the protein has DNA-binding capabilities, ChIP can reveal genomic binding sites and potential regulatory functions.
Each application requires specific optimization steps for this particular antibody, including appropriate dilution ratios, incubation conditions, and detection methods that should be empirically determined for your specific experimental system.
Proper validation of the At5g63820 Antibody is critical for ensuring experimental reliability and reproducibility. Several validation approaches are recommended:
Knockout Validation: Testing the antibody on samples from Arabidopsis knockout lines lacking the At5g63820 gene is the gold standard for specificity confirmation. The absence of signal in knockout lines provides strong evidence of antibody specificity.
Peptide Competition Assay: Pre-incubating the antibody with the immunizing peptide should block binding sites and eliminate specific signals in subsequent experiments, confirming epitope-specific binding.
Positive Control Identification: Identifying tissues or conditions with known high expression of the At5g63820 protein to serve as positive controls for antibody testing.
Multiple Detection Methods: Validating protein detection using complementary techniques such as mass spectrometry to confirm the identity of the detected protein.
Reproducibility Testing: Performing replicate experiments across different sample preparations to ensure consistent detection patterns.
A comprehensive validation table might include:
| Validation Method | Expected Result | Interpretation |
|---|---|---|
| Knockout line testing | No signal detected | Confirms specificity |
| Peptide blocking | Signal elimination | Confirms epitope binding |
| Western blot | Single band at predicted MW | Indicates specificity |
| Overexpression analysis | Increased signal intensity | Confirms detection sensitivity |
| Cross-species reactivity | Variable depending on conservation | Determines usability in related species |
Researchers should document these validation steps thoroughly to support the reliability of subsequent experimental findings.
When employing the At5g63820 Antibody for protein interaction studies, researchers should consider the following optimized protocol framework:
Co-immunoprecipitation (Co-IP) Protocol:
Sample Preparation: Harvest and flash-freeze 2-3g of Arabidopsis tissue. Grind in liquid nitrogen and extract proteins using a non-denaturing lysis buffer (50mM Tris-HCl pH 7.5, 150mM NaCl, 0.5% NP-40, 1mM EDTA) supplemented with protease inhibitors.
Pre-clearing: Incubate protein extract with protein A/G beads for 1 hour at 4°C to remove non-specific binding proteins.
Immunoprecipitation: Add the At5g63820 Antibody (5-10μg per 1mg of total protein) to the pre-cleared lysate and incubate overnight at 4°C with gentle rotation.
Bead Capture: Add protein A/G beads and incubate for 2-3 hours at 4°C.
Washing: Wash beads 4-5 times with wash buffer (lysis buffer with reduced detergent concentration).
Elution: Elute bound proteins with SDS sample buffer or by peptide competition.
Analysis: Analyze the immunoprecipitated complexes by mass spectrometry or Western blotting with antibodies against suspected interaction partners.
For assessing dynamic protein interactions under different conditions (e.g., stress responses), parallel Co-IP experiments can be performed using tissues exposed to various treatments. Quantitative comparisons of interaction partners can reveal condition-specific associations of the At5g63820 protein, providing insights into its functional roles under different physiological states.
When interpreting Co-IP results, researchers should be aware that some interactions may be mediated by RNA or DNA. Including RNase or DNase treatments in control experiments can help distinguish direct protein-protein interactions from nucleic acid-mediated associations.
The At5g63820 Antibody presents a valuable tool for investigating protein expression variation across Arabidopsis accessions, particularly in the context of environmental adaptation studies. Following the approach used in genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS), researchers can implement the following methodology:
Accession Selection: Choose Arabidopsis accessions representing diverse geographical origins and environmental conditions, particularly focusing on accessions with known genetic variations in the At5g63820 gene or its regulatory regions .
Controlled Growth: Grow selected accessions under identical controlled conditions to normalize environmental influences on protein expression.
Protein Extraction: Extract total protein using a standardized protocol across all accessions to ensure comparability.
Quantitative Western Blotting: Use the At5g63820 Antibody in quantitative Western blot analyses, including internal loading controls (e.g., actin or tubulin) for normalization.
Expression Correlation: Correlate protein expression levels with the accessions' native climate parameters using the extensive climate data available in resources like CLIMtools V2.0, which contains information on 434 climate descriptors for natural Arabidopsis habitats .
This approach can reveal whether At5g63820 protein levels vary systematically across accessions from different environments, potentially indicating a role in local adaptation. For instance, researchers studying other Arabidopsis genes have found correlations between gene variants and climate factors such as continentality and temperature variation .
| Accession Group | Geographical Origin | Climate Feature | Relative Protein Expression | Statistical Significance |
|---|---|---|---|---|
| Group 1 | Coastal regions | High humidity | Baseline (1.0) | Reference |
| Group 2 | Continental regions | Temperature fluctuation | 1.5-2.0× higher | p < 0.01 |
| Group 3 | High altitude | UV exposure | 1.3-1.8× higher | p < 0.05 |
| Group 4 | Arid regions | Drought conditions | 0.7-0.9× lower | p < 0.05 |
This hypothetical data table illustrates how protein expression patterns might correlate with environmental factors, similar to patterns observed for other climate-associated genes in Arabidopsis studies .
When working with the At5g63820 Antibody in Western blotting applications, researchers may encounter several technical challenges. Based on experience with similar plant antibodies, the following troubleshooting guide addresses common issues:
Possible causes and solutions:
Insufficient protein amount: Increase loading to 30-50μg total protein per lane
Protein degradation: Use fresh extraction buffer with complete protease inhibitor cocktail
Insufficient antibody concentration: Optimize primary antibody dilution (try 1:500 to 1:2000 range)
Inefficient transfer: Verify transfer efficiency with reversible staining before blocking
Incorrect secondary antibody: Ensure secondary antibody matches the host species of At5g63820 Antibody
Possible causes and solutions:
Insufficient blocking: Extend blocking time to 2 hours or overnight at 4°C
Excessive antibody concentration: Dilute primary antibody further (1:2000 to 1:5000)
Inadequate washing: Increase wash duration and volume (4-5 washes of 10 minutes each)
Cross-reactivity: Pre-absorb antibody with Arabidopsis knockout line extract if available
Membrane issues: Try different membrane types (PVDF may give lower background than nitrocellulose)
Possible causes and solutions:
Protein degradation: Add additional protease inhibitors and keep samples cold
Post-translational modifications: Analyze with phosphatase treatment if phosphorylation is suspected
Splice variants: Verify against predicted variants of At5g63820 gene
Cross-reactivity: Perform peptide competition assay to identify specific binding
Non-specific binding: Increase stringency of wash buffer (add 0.1% SDS or increase salt concentration)
For optimal results, researchers should consider adapting a protocol similar to those used for receptor occupancy assays with other antibodies, which employ stringent validation steps to ensure specificity, as demonstrated in studies with other monoclonal antibodies .
When investigating At5g63820 protein expression and function under stress conditions, experimental design must be carefully optimized to capture authentic biological responses while minimizing artifacts. The following methodological considerations are essential:
Stress Treatment Optimization:
Temperature stress studies should incorporate graduated exposure protocols, as sudden temperature shocks may trigger general stress responses that obscure At5g63820-specific functions. Consider a temperature ramping approach (increasing/decreasing at 2-3°C per hour) rather than immediate transfer to extreme conditions . This approach is particularly important given findings of temperature-dependent structural changes in other Arabidopsis transcripts with SNPs (riboSNitches) .
For oxidative stress, titrate H₂O₂ or methyl viologen concentrations to identify the minimum concentration that elicits a measurable response without causing widespread cellular damage. Preliminary dose-response experiments are essential for determining the appropriate concentration range (typically 1-10mM for H₂O₂ depending on application method and tissue type).
When studying drought responses, progressive soil drying protocols are preferable to abrupt water withholding, as they better mimic natural conditions and allow for monitoring of At5g63820 protein levels at defined soil moisture content points.
Sample Collection Timing:
Establish a comprehensive time-course sampling strategy to capture both early signaling events and later adaptive responses:
Early time points: 15 min, 30 min, 1 hour, 3 hours
Intermediate time points: 6 hours, 12 hours, 24 hours
Late time points: 48 hours, 72 hours, 1 week
This approach enables the distinction between primary responses directly triggered by stress perception and secondary responses resulting from cellular adaptation mechanisms.
Control Considerations:
In addition to untreated controls, include plants exposed to mild stress conditions below the threshold for visible phenotypic changes. This helps establish the sensitivity threshold of At5g63820 protein response.
Consider including known stress-responsive proteins (e.g., HSP70 for heat stress, DREB1A for cold stress) as positive controls to validate stress treatment efficacy across experiments .
Tissue-Specific Analysis:
Different plant tissues may show distinct regulation of At5g63820 under stress. Separate analysis of roots, young leaves, mature leaves, and reproductive tissues is recommended to develop a comprehensive understanding of tissue-specific responses, similar to approaches used in studies of other stress-responsive proteins in Arabidopsis .
When researchers encounter contradictory results using the At5g63820 Antibody across different experimental systems, several systematic approaches can help resolve these discrepancies:
Antibody Validation Comparison:
First, conduct a standardized validation protocol across all experimental systems to ensure the antibody performs consistently. This should include parallel Western blots using identical protein amounts from each system, with careful attention to exposure times and detection methods. Document the exact antibody lot numbers used, as lot-to-lot variations can contribute to inconsistent results.
If possible, verify antibody specificity in each system using genetic controls (e.g., At5g63820 knockout or knockdown lines specific to each experimental system). The absence of signal in knockout lines confirms antibody specificity regardless of experimental conditions.
Epitope Accessibility Analysis:
Consider whether protein conformation or post-translational modifications might affect epitope accessibility differently across experimental systems. If the At5g63820 Antibody targets an epitope that can be masked by protein folding or modification, this could explain system-specific detection differences .
To test this hypothesis, perform parallel immunoprecipitation experiments followed by mass spectrometry analysis to confirm whether the antibody is pulling down the same protein species across systems . Additionally, consider using denaturing versus native conditions to assess whether protein conformation affects antibody binding.
Expression Level Normalization:
When comparing At5g63820 protein levels across systems, implement rigorous normalization strategies:
| Normalization Method | Application | Advantages | Limitations |
|---|---|---|---|
| Total protein normalization | Stain-free gels or Ponceau staining | Accounts for loading differences | May not control for extraction efficiency |
| Housekeeping protein controls | Western blotting with anti-actin or anti-tubulin | Familiar standard | Expression can vary under some conditions |
| Absolute quantification | Inclusion of recombinant protein standards | Provides absolute quantities | Requires purified protein standards |
| Multiple reference proteins | Average of several stable reference proteins | More robust than single references | Requires validation of multiple antibodies |
Biological Context Consideration:
Contradictory results may reflect genuine biological differences rather than technical artifacts. Consider whether the At5g63820 protein might be regulated differently in various:
Developmental stages
Tissue types
Growth conditions
Genetic backgrounds
Stress responses
Similar to observations with other plant proteins, the At5g63820 protein might exhibit context-dependent regulation, particularly in response to environmental factors that vary between experimental systems .
The At5g63820 Antibody represents a valuable tool for investigating potential RNA-protein interactions, particularly in the context of plant stress responses. This emerging research direction builds upon recent discoveries of riboSNitches (structure-altering RNA polymorphisms) in Arabidopsis genes that respond to environmental conditions .
RNA Immunoprecipitation (RIP) Applications:
The At5g63820 Antibody can be employed in RNA immunoprecipitation assays to identify RNA molecules that interact with the At5g63820 protein. The procedure would involve:
Crosslinking plant tissue to preserve in vivo RNA-protein interactions
Lysing cells under conditions that maintain RNA integrity
Immunoprecipitating the At5g63820 protein complex using the specific antibody
Extracting and identifying bound RNAs through sequencing or RT-PCR
This approach could reveal whether the At5g63820 protein participates in post-transcriptional regulation through direct RNA binding, similar to mechanisms identified for other plant stress response factors.
Integration with Structurome Studies:
Recent research has demonstrated the existence of riboSNitches in Arabidopsis genes associated with climate adaptation, such as ZR3 and CGR3 . These structure-altering polymorphisms can affect RNA stability, translation efficiency, and protein interactions. The At5g63820 Antibody could help determine whether:
The At5g63820 protein preferentially binds to specific RNA structural motifs
RNA structure alterations (including those caused by SNPs) affect binding affinity
Environmental factors like temperature influence these RNA-protein interactions
Particularly intriguing is the concept of "conditional riboSNitches" - RNA structures that change in response to temperature fluctuations . Using the At5g63820 Antibody in temperature-controlled RIP experiments could reveal whether the At5g63820 protein participates in temperature-sensitive RNA regulatory networks.
Methodological Approaches for Studying RNA-Protein Dynamics:
| Technique | Application with At5g63820 Antibody | Information Gained |
|---|---|---|
| RIP-seq | Genome-wide identification of RNA targets | Comprehensive RNA interaction profile |
| CLIP-seq | Precise mapping of binding sites on RNAs | Nucleotide-resolution binding motifs |
| RIP-qPCR | Targeted validation of specific RNA interactions | Quantitative binding assessment |
| in vitro binding assays | Biochemical characterization of binding | Direct binding constants |
| Bimolecular fluorescence complementation | In vivo visualization of interactions | Subcellular localization of complexes |
The combination of these approaches with structural analyses of target RNAs could significantly advance our understanding of plant post-transcriptional regulation mechanisms in response to environmental changes.
The potential involvement of At5g63820 protein in endoplasmic reticulum (ER) stress responses represents a promising research direction that can be explored using the At5g63820 Antibody. This connection is particularly intriguing given that ER stress responses are crucial for plant adaptation to various environmental challenges.
Hypothesized Connections to ER Stress Pathways:
The At5g63820 protein may interact with components of the plant unfolded protein response (UPR), similar to transcription factors like AtbZIP60 that regulate ER stress-responsive genes in Arabidopsis . Using the At5g63820 Antibody for co-immunoprecipitation followed by mass spectrometry could reveal interactions with known ER stress components such as BiP chaperones, calnexins, or ER membrane-associated transcription factors .
Immunolocalization studies using the At5g63820 Antibody might demonstrate whether the protein changes subcellular localization during ER stress, potentially showing translocation patterns similar to membrane-anchored transcription factors that are proteolytically processed during stress responses . The antibody could help track such dynamic localization changes in response to ER stress inducers like tunicamycin, DTT, or azetidine-2-carboxylate .
Experimental Approaches to Test ER Stress Involvement:
Researchers can apply the At5g63820 Antibody in several experimental approaches to investigate potential roles in ER stress responses:
Stress-Induced Expression Analysis: Quantify At5g63820 protein levels in response to known ER stress inducers (tunicamycin, DTT) using Western blotting with the specific antibody .
Protein Modification Tracking: Determine whether the At5g63820 protein undergoes post-translational modifications during ER stress by comparing migration patterns on Western blots under normal and stress conditions.
Transcriptional Regulation Studies: Combine chromatin immunoprecipitation (ChIP) using the At5g63820 Antibody with sequencing to identify potential binding sites in promoters of ER stress-responsive genes, potentially revealing regulatory functions similar to those of AtbZIP60 .
Genetic Interaction Analysis: Use the antibody to compare At5g63820 protein levels and modifications in wild-type plants versus mutants of known ER stress response genes to establish genetic relationships.
Potential Signaling Pathway Integration:
Based on patterns observed in other ER stress response proteins, At5g63820 may function as:
A membrane-associated sensor protein that detects ER stress conditions
A transcription factor or transcriptional regulator that activates adaptive response genes
A chaperone or co-chaperone that assists in protein folding during stress
A component of ER-associated degradation (ERAD) that helps remove misfolded proteins
The At5g63820 Antibody would be instrumental in distinguishing between these potential functions through the methodologies described above, potentially revealing new aspects of plant ER stress response mechanisms.
Designing experiments to investigate At5g63820 protein expression and function across developmental stages requires careful consideration of sampling strategies, controls, and analytical approaches. The At5g63820 Antibody serves as a central tool in this experimental framework.
Developmental Sampling Strategy:
To comprehensively capture developmental regulation, researchers should implement a systematic sampling approach covering key developmental transitions:
Seed Stage: Sample dry seeds, seeds during stratification (24h, 48h), and at radical emergence
Seedling Stage: Sample at cotyledon emergence, first true leaf stage (approximately 7 days)
Vegetative Growth: Sample rosette leaves at 14, 21, and 28 days after germination
Transition to Flowering: Sample just before bolting and during early bolting
Reproductive Stage: Sample flowers at different developmental stages and siliques at early, mid, and late development
Senescence: Sample leaves showing initial and advanced senescence
For each developmental point, collect samples at the same time of day to control for circadian effects on protein expression. This is particularly important as many plant proteins show diurnal regulation patterns.
Tissue-Specific Analysis:
Within each developmental stage, separate analysis of different tissues can reveal organ-specific regulation patterns:
| Developmental Stage | Recommended Tissue Separation | Analytical Consideration |
|---|---|---|
| Seedling | Cotyledons vs. hypocotyl vs. roots | May require pooling for sufficient protein |
| Vegetative | Young vs. mature leaves vs. roots | Compare protein levels relative to total protein |
| Flowering | Stem vs. leaves vs. floral tissues | Different extraction buffers may be optimal |
| Reproductive | Flowers vs. siliques of different ages | Stage-specific extraction protocols recommended |
Experimental Controls and Normalization:
To ensure reliable developmental comparisons, implement multi-level control strategies:
Loading Controls: Use developmentally stable reference proteins (validate stability across your developmental series first)
Extraction Efficiency Controls: Spike samples with a recombinant protein before extraction to normalize for tissue-specific extraction variations
Cross-Developmental Calibration: Include a mixed-stage reference sample on each gel to allow cross-gel normalization when comparing distant developmental stages
Biological Replicates: Use independent biological replicates (different plants) rather than technical replicates to capture natural variation
Integration with Transcriptional Analysis:
Complement protein-level analyses with transcript quantification to determine whether developmental regulation occurs at transcriptional or post-transcriptional levels. This integrated approach can reveal regulatory mechanisms controlling At5g63820 expression throughout development.
Antibody Compatibility with Fixation Methods:
When combining immunodetection with microscopy techniques, the compatibility of the At5g63820 Antibody with various fixation protocols becomes critical. Different fixatives can affect epitope accessibility:
Paraformaldehyde fixation: Preserves cellular architecture but may mask some epitopes through protein cross-linking
Methanol fixation: Preserves protein antigens but can disrupt membrane structures
Glutaraldehyde fixation: Provides excellent ultrastructural preservation but often reduces antibody binding
Researchers should conduct preliminary tests with each fixation method to determine optimal conditions that maintain both cellular structure and epitope recognition by the At5g63820 Antibody. For immunoelectron microscopy, particular attention to fixative concentration and duration is essential for balancing ultrastructural preservation with antibody binding capacity.
Protocol Adaptation for Multi-omics Integration:
When integrating antibody-based detection with proteomics or transcriptomics approaches, sample processing compatibility becomes essential:
For combined proteomics/antibody studies:
Split samples after protein extraction, before adding denaturing agents for mass spectrometry
Process parallel samples with identical extraction conditions but different downstream applications
Consider sequential analysis where immunoprecipitation with At5g63820 Antibody precedes mass spectrometry of bound proteins
For transcriptomics integration:
For RNA-protein correlation studies, extract protein and RNA from the same tissue samples
Use protocols that simultaneously preserve both RNA integrity and protein structure
Consider crosslinking methods that capture in vivo RNA-protein interactions before antibody-based pulldown
Buffer and Reagent Compatibility:
Different experimental techniques often require specific buffer conditions that may affect antibody performance:
| Technique | Critical Buffer Components | Potential Issue | Adaptation Strategy |
|---|---|---|---|
| Western blotting | SDS, reducing agents | May denature epitope | Use lower SDS concentration if possible |
| Co-IP | Non-ionic detergents | May be insufficient for extraction | Optimize detergent type and concentration |
| ChIP | Formaldehyde, high salt | May alter epitope structure | Test antibody recognition after crosslinking |
| Mass spectrometry | Urea, thiourea | Incompatible with antibody binding | Split samples before adding MS buffers |
Data Integration Strategies:
When combining antibody-based detection with other data types, consider these analytical approaches:
Correlation analysis: Quantitatively compare At5g63820 protein levels (from Western blots) with transcript levels (from RNA-Seq) across conditions or tissues
Network integration: Place At5g63820 in functional networks by combining interaction data (from Co-IP) with transcriptional responses (from RNA-Seq)
Spatiotemporal mapping: Overlay protein localization data (from immunofluorescence) with expression timing data (from time-course experiments)
This integrated approach provides a multi-dimensional understanding of At5g63820 function that would be impossible with any single technique.
As plant biology research continues to advance, several promising directions emerge for future applications of the At5g63820 Antibody:
Climate Adaptation Studies: Investigating potential correlations between At5g63820 protein expression patterns and environmental adaptation across Arabidopsis accessions from diverse habitats could reveal functional roles in climate resilience mechanisms, similar to those identified for other Arabidopsis genes .
Structural Biology Integration: Combining antibody-based protein detection with structural analysis of potential RNA targets could elucidate the molecular basis of conditional responses, particularly in the context of temperature-sensitive riboSNitches identified in other Arabidopsis transcripts .
Systems Biology Approaches: Positioning the At5g63820 protein within larger regulatory networks through integrated multi-omics approaches could reveal its broader functional context and potential cooperative roles with other proteins in coordinating plant responses.
Translational Applications: Knowledge gained from fundamental At5g63820 research could eventually inform crop improvement strategies, particularly if homologous proteins in crop species demonstrate similar functions in stress resilience or developmental regulation.
The development of next-generation antibody technologies, including recombinant antibody fragments with enhanced specificity or engineered properties, may further expand the experimental toolkit available for At5g63820 research. Additionally, emerging proximity labeling techniques using antibody-based targeting could reveal transient or weak interactions that traditional co-immunoprecipitation approaches might miss.