The At1g27490 gene in Arabidopsis thaliana encodes a protein with UniProt accession number Q9FZI7 . This antibody specifically recognizes epitopes of this protein product. The At1g27490 protein is part of the extensive molecular network in Arabidopsis thaliana, which is widely used as a model organism in plant biology research. When designing experiments using this antibody, researchers should consider the protein's subcellular localization, expression patterns, and potential post-translational modifications that may affect antibody binding.
The antibody is designed to recognize specific epitopes on the protein product, making it valuable for protein detection and quantification in various experimental applications. Understanding the protein's molecular characteristics is essential for interpreting experimental results and designing appropriate controls.
The At1g27490 Antibody is suitable for multiple experimental applications in plant research, similar to other plant antibodies designed for specific proteins. While the search results don't specify particular applications for this antibody, plant antibodies typically function effectively in Western blotting, immunoprecipitation, immunohistochemistry, and immunofluorescence microscopy.
For optimal results in Western blotting, researchers should follow standardized protocols similar to those used with other plant antibodies, which typically include:
| Application | Recommended Dilution | Incubation Time | Temperature | Buffer Conditions |
|---|---|---|---|---|
| Western blot | 1:3000-1:5000 | 1-2 hours | Room temperature | TBS-T with 5% BSA |
| Immunofluorescence | 1:100-1:250 | Overnight | 4°C | PBS with 1% BSA |
| Immunoprecipitation | 1:50-1:100 | 4 hours | 4°C | RIPA buffer |
These recommendations are based on standard protocols for plant antibodies similar to the actin antibody specifications , and should be optimized for the At1g27490 Antibody through pilot experiments.
Protein extraction for At1g27490 detection requires careful methodology to preserve protein integrity while maximizing yield. For Arabidopsis tissues, implement the following extraction protocol:
Harvest fresh tissue (100-200 mg) and flash-freeze in liquid nitrogen.
Grind tissue to a fine powder using a pre-chilled mortar and pestle, maintaining frozen conditions throughout.
Add extraction buffer (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM EDTA, 10% glycerol, 1% Triton X-100) supplemented with protease inhibitors (1 mM PMSF, 1 μg/ml leupeptin, 1 μg/ml pepstatin A).
Use 3-5 volumes of buffer per tissue weight.
Homogenize thoroughly and incubate with gentle rotation for 30 minutes at 4°C.
Centrifuge at 14,000 × g for 15 minutes at 4°C.
Collect the supernatant containing soluble proteins.
Quantify protein concentration using Bradford or BCA assay.
This methodology ensures optimal extraction of At1g27490 protein while minimizing degradation or modification that could affect antibody recognition. The addition of phosphatase inhibitors may be necessary if studying phosphorylation states of the protein.
For optimal Western blot detection of At1g27490 protein, follow these methodological steps:
Resolve 10-30 μg of total protein extract on 10-12% SDS-PAGE gel (exact percentage should be optimized based on the molecular weight of At1g27490).
Transfer proteins to PVDF or nitrocellulose membrane (100V for 1 hour or 30V overnight at 4°C).
Block the membrane with 5% non-fat dry milk or BSA in TBS-T for 1 hour at room temperature.
Incubate with At1g27490 Antibody at 1:3000-1:5000 dilution in blocking buffer overnight at 4°C.
Wash the membrane 3-4 times with TBS-T, 5 minutes each.
Incubate with appropriate HRP-conjugated secondary antibody (typically anti-rabbit IgG at 1:5000-1:10000) for 1 hour at room temperature.
Wash 4-5 times with TBS-T, 5 minutes each.
Develop using ECL substrate and image using a suitable detection system.
For enhanced sensitivity, consider using a high-sensitivity ECL substrate or implementing signal amplification techniques when detecting low-abundance proteins. This protocol is based on standard approaches used for plant antibodies, similar to the actin antibody methodology .
When encountering weak or absent signals with At1g27490 Antibody, systematically evaluate the following potential issues:
Protein Extraction Efficiency:
Ensure complete tissue disruption during extraction
Test alternative extraction buffers with different detergent compositions
Check protein quantification accuracy
Antibody Dilution Optimization:
Test a range of primary antibody concentrations (1:1000 to 1:5000)
Extend primary antibody incubation time (overnight at 4°C)
Optimize secondary antibody concentration
Sample Preparation:
Detection System:
Use fresh ECL reagents
Increase exposure time incrementally
Consider more sensitive detection methods (enhanced chemiluminescence or fluorescent secondary antibodies)
Expression Level Verification:
Confirm At1g27490 expression in your specific tissues and conditions
Consider using tissues with known higher expression of the target protein
Maintaining a detailed log of all troubleshooting steps and observations will help identify the source of the problem and establish reliable detection protocols.
When working with At1g27490 Antibody, researchers must carefully evaluate potential cross-reactivity to ensure experimental validity. Consider these methodological approaches:
Sequence Homology Analysis:
Perform bioinformatic analysis to identify proteins with similar epitopes in your experimental system
Check for paralogs or related protein family members in Arabidopsis thaliana
Evaluate conservation across species if working with non-Arabidopsis plants
Experimental Validation:
Include negative controls such as knockout/knockdown lines for At1g27490
Perform competitive binding assays with recombinant protein
Test the antibody on samples with overexpressed At1g27490 protein
Pre-Absorption Controls:
Pre-incubate the antibody with purified recombinant At1g27490 protein before use
Compare results between pre-absorbed and regular antibody incubations
Species Cross-Reactivity:
If using in non-Arabidopsis species, perform sequence alignment to determine epitope conservation
Validate with recombinant proteins from the test species if available
Thorough cross-reactivity assessment is crucial for meaningful data interpretation, especially when studying protein families with conserved domains or when extending research to other plant species.
Optimizing At1g27490 Antibody for immunolocalization requires specific methodological considerations for plant tissues:
Tissue Fixation Protocol:
For paraffin sections: Fix tissues in 4% paraformaldehyde in PBS for 12-24 hours at 4°C
For cryosections: Fix in 4% paraformaldehyde for 1-2 hours, then transfer to 30% sucrose solution
Carefully optimize fixation time to preserve antigenicity while maintaining tissue architecture
Antigen Retrieval Methods:
Heat-induced epitope retrieval: Incubate sections in citrate buffer (pH 6.0) at 95°C for 10-20 minutes
Enzymatic retrieval: Treat with proteinase K (1-5 μg/ml) for 5-10 minutes at room temperature
Test multiple methods as plant tissues often require specific retrieval conditions
Blocking and Antibody Dilution:
Signal Amplification Strategies:
Consider using tyramide signal amplification for low-abundance proteins
Biotin-streptavidin systems can enhance detection sensitivity
Quantum dots can be used for multiplexing with other antibodies
Controls:
Include secondary-only controls
Use tissues from knockout plants as negative controls
Consider dual labeling with organelle markers to confirm subcellular localization
These optimization steps should be performed sequentially, making one adjustment at a time and documenting results meticulously to establish a reproducible protocol.
Adapting At1g27490 Antibody for chromatin immunoprecipitation requires careful optimization due to the complex nature of plant chromatin:
Cross-linking Optimization:
Test multiple formaldehyde concentrations (1-3%) and incubation times (10-20 minutes)
Consider dual cross-linking with disuccinimidyl glutarate (DSG) followed by formaldehyde for improved efficiency
Optimize quenching conditions using glycine (125-250 mM)
Chromatin Preparation:
Sonicate chromatin to achieve fragments of 200-500 bp (verify by agarose gel electrophoresis)
Filter lysates to remove cell debris before immunoprecipitation
Pre-clear chromatin with protein A/G beads to reduce background
Immunoprecipitation Conditions:
Test different amounts of At1g27490 Antibody (2-10 μg per reaction)
Optimize antibody-chromatin incubation time (4 hours to overnight at 4°C)
Include appropriate controls (non-specific IgG, input chromatin)
Washing Stringency:
Implement a series of increasingly stringent washes to reduce non-specific binding
Typical wash buffers contain increasing salt concentrations (150-500 mM NaCl)
Final washes should include LiCl buffer and TE buffer
DNA Recovery and Analysis:
Reverse cross-links completely (65°C for 4-16 hours)
Purify DNA using phenol-chloroform extraction or commercial kits
Validate enrichment using qPCR before proceeding to sequencing
The success of ChIP experiments with At1g27490 Antibody will depend largely on the DNA-binding properties of the target protein and the antibody's ability to recognize the protein in its native chromatin context.
Rigorous quantification and statistical analysis of Western blot data using At1g27490 Antibody requires systematic methodology:
Image Acquisition:
Capture images using a dynamic range-appropriate system (CCD camera-based imager)
Avoid saturation by taking multiple exposures
Use TIFF format with at least 16-bit depth to preserve signal information
Normalization Strategy:
Quantification Software:
Use specialized software (ImageJ, Image Lab, etc.) for densitometric analysis
Define consistent measurement parameters (band boundaries, background subtraction)
Create standard curves if performing absolute quantification
Statistical Analysis Framework:
For comparing two groups: Student's t-test or Mann-Whitney U test depending on data distribution
For multiple groups: ANOVA with appropriate post-hoc tests (Tukey, Bonferroni)
Always perform at least 3-4 biological replicates for statistical validity
Reporting Results:
Present data as mean ± standard deviation or standard error
Report exact p-values and statistical tests used
Include representative blot images alongside quantification graphs
This systematic approach ensures that subtle changes in At1g27490 protein levels can be accurately quantified and statistically validated across experimental conditions.
When transcript and protein data for At1g27490 show discrepancies, conduct a methodical analysis following these steps:
Verify Technical Validity:
Confirm antibody specificity using knockout/knockdown controls
Check primer specificity for transcript analysis
Validate RNA and protein extraction efficiency across samples
Temporal Consideration Analysis:
Implement time-course experiments to track both transcript and protein levels
Consider delayed protein synthesis relative to transcription
Evaluate whether samples for RNA and protein were collected at equivalent time points
Post-Transcriptional Regulation Assessment:
Investigate microRNA regulation of At1g27490 transcript
Evaluate RNA stability using actinomycin D chase experiments
Assess translation efficiency using polysome profiling
Post-Translational Modification Examination:
Test for protein degradation rates using cyclohexamide chase assays
Investigate potential protein modifications that might affect antibody recognition
Consider subcellular localization changes that could affect extraction efficiency
Experimental Design Matrix:
| Possible Scenario | Experimental Approach | Control/Validation Method |
|---|---|---|
| Rapid protein turnover | Proteasome inhibitor treatment | Monitor protein accumulation |
| Inefficient translation | Polysome profiling | Compare transcript association with ribosomes |
| Selective tissue expression | Cell/tissue-specific analysis | FACS sorting or laser capture microdissection |
| Alternative protein isoforms | Western blot with multiple antibodies | Mass spectrometry confirmation |
| Developmental regulation | Developmental time series | Compare transcript/protein across stages |
This comprehensive approach helps researchers determine whether discrepancies reflect biological regulation or technical limitations, leading to more accurate interpretations of At1g27490 function.
Cross-species validation of At1g27490 Antibody requires systematic methodology to ensure reliable detection in non-Arabidopsis systems:
Sequence Homology Analysis:
Perform BLAST searches using Arabidopsis At1g27490 protein sequence against target species
Identify orthologs and calculate percent identity, particularly in the epitope region
Create multiple sequence alignments to visualize conservation of the antibody recognition site
Epitope Conservation Assessment:
If epitope information is available, analyze its conservation across species
Consider synthetic peptide competition assays to confirm epitope specificity
Evaluate potential post-translational modifications that might affect epitope recognition
Experimental Validation Protocol:
Run side-by-side Western blots with both Arabidopsis and target species samples
Include recombinant protein (if available) as positive control
Test multiple extraction protocols optimized for each species' tissue type
Cross-Reactivity Controls:
Use genetic resources (RNAi, CRISPR knockouts) in the target species when available
Perform pre-absorption controls with recombinant proteins or peptides
Consider heterologous expression systems to confirm antibody recognition
Optimization for Non-Arabidopsis Species:
Adjust antibody concentration and incubation conditions for each species
Modify extraction buffers to account for species-specific differences in cell wall composition
Document all modifications required for successful detection
This validation framework ensures that results obtained with At1g27490 Antibody across different plant species are reliable and comparable, enabling evolutionary and comparative studies of protein function.
When designing experiments to compare At1g27490 protein levels across developmental stages or stress conditions, implement these methodological guidelines:
Standardized Sampling Protocol:
Harvest tissues at precisely defined developmental stages using morphological markers
Maintain consistent sampling timing relative to stress application
Standardize tissue selection (e.g., specific leaf position, root zone)
Experimental Design Optimization:
Use split-plot or randomized complete block designs to minimize environmental variation
Include sufficient biological replicates (minimum 3-4) and technical replicates (2-3)
Plan time-course experiments to capture dynamic changes
Control Implementation:
Include internal controls for each developmental stage or stress condition
Use constitutively expressed proteins as loading controls
Consider spike-in controls with recombinant proteins for absolute quantification
Normalization Strategy:
Normalize to total protein content rather than single reference genes when comparing across conditions
Verify stability of reference proteins across all experimental conditions
Consider multiple normalization methods and compare results for robustness
Data Analysis Framework:
Apply appropriate statistical tests for time-series data (repeated measures ANOVA)
Use mixed-effects models when comparing multiple variables
Consider normalization to baseline levels when analyzing stress responses
Interpretation Guidelines:
Correlate protein level changes with physiological or phenotypic measurements
Consider post-translational modifications that might affect antibody recognition
Integrate with transcriptome data for comprehensive understanding
This experimental framework ensures that observed changes in At1g27490 protein levels genuinely reflect biological responses rather than technical variables or sampling artifacts.