KEGG: ath:AT1G34575
STRING: 3702.AT1G34575.1
AT1G24575 antibody is a research-grade immunological reagent developed to specifically recognize and bind to the protein encoded by the AT1G24575 gene in Arabidopsis thaliana. This antibody serves as an essential tool for detecting, localizing, and studying the expression patterns of the target protein across different tissues, developmental stages, or experimental conditions. The antibody has been characterized for its specificity to Arabidopsis thaliana, as indicated by cross-reaction studies . When designing experiments, researchers should consider that antibody specificity is paramount for obtaining reliable results, particularly when investigating closely related protein families.
The AT1G24575 antibody is supplied in lyophilized form and requires specific storage conditions to preserve its immunoreactivity and specificity. For optimal performance and extended shelf-life, it is recommended to:
Store the lyophilized antibody in a manual defrost freezer
Avoid repeated freeze-thaw cycles which can denature the antibody protein structure
Upon receipt, immediately store the product at the recommended temperature
After reconstitution, aliquot the antibody to minimize freeze-thaw cycles
These storage protocols are critical for maintaining antibody performance across experiments, as degradation can lead to increased background signal, reduced sensitivity, and potential experimental artifacts.
The lyophilized AT1G24575 antibody requires careful reconstitution to maintain its immunoreactivity. While specific reconstitution details for this antibody aren't provided in the search results, standard reconstitution protocols for lyophilized antibodies typically include:
Brief centrifugation of the vial before opening to collect the material at the bottom
Reconstitution in sterile distilled water or the appropriate buffer as specified by the manufacturer
Gentle mixing by pipetting or rotation to avoid introducing bubbles or denaturing the protein
Allowing complete dissolution before use in experiments
Proper reconstitution is essential for maintaining antibody concentration consistency across experiments, which directly impacts reproducibility of results in immunological applications.
Based on established antibody applications in plant research, the AT1G24575 antibody can likely be employed in multiple immunological techniques with appropriate optimization:
Western Blotting: For detecting specific protein expression levels and molecular weight characterization, similar to AT1 receptor antibody applications that identified protein bands of specific molecular weights (70,000 and 95,000) in various tissues
Immunohistochemistry/Immunofluorescence: For localizing the protein within different plant tissues and cellular compartments
Immunoprecipitation: For isolating protein complexes containing the target protein
ELISA: For quantitative measurement of protein levels
Each technique requires specific optimization steps, including antibody dilution testing, blocking conditions, and appropriate controls to verify specificity.
Validating antibody specificity is crucial for generating reliable data. Recommended validation approaches include:
Positive and negative control samples: Using tissues or cell extracts with known expression patterns of the target protein
Peptide competition assays: Pre-incubating the antibody with the immunizing peptide should abolish specific signal
Genetic controls: Testing the antibody in knockout/knockdown lines lacking the target protein
Cross-reactivity testing: Evaluating potential cross-reactivity with related proteins, particularly important when studying gene family members
Multiple antibody approach: When available, using antibodies targeting different epitopes of the same protein
Thorough validation ensures experimental reproducibility and prevents misinterpretation of data due to non-specific binding.
Integrating AT1G24575 antibody-based protein analyses with other omics techniques can provide comprehensive insights into plant biology:
Proteomics integration: Combining immunoprecipitation with mass spectrometry to identify interaction partners of the AT1G24575 protein, revealing functional networks
Transcriptomics correlation: Correlating protein expression (detected by the antibody) with mRNA levels to identify post-transcriptional regulatory mechanisms
Epigenomics connection: Using chromatin immunoprecipitation (ChIP) if the protein has DNA-binding properties, to map genomic binding sites
Metabolomics relationship: Establishing connections between AT1G24575 protein expression and metabolite profiles to understand metabolic impacts
This multi-omics strategy allows researchers to place the target protein within broader cellular networks and signaling pathways in Arabidopsis.
Plant tissues present unique challenges for antibody penetration due to cell walls and other structural barriers. Advanced methodological approaches include:
Optimized fixation protocols: Modified fixation procedures that maintain antigen accessibility while allowing sufficient tissue penetration
Enzymatic pre-treatments: Controlled cell wall digestion using enzymes like cellulase and pectinase to improve antibody access
Extended incubation periods: Longer primary antibody incubation times (24-72 hours) at lower temperatures
Detergent optimization: Testing different detergents and concentrations to improve membrane permeabilization without disrupting antigenic structures
Vacuum infiltration: Application of gentle vacuum to facilitate antibody penetration into air-filled spaces in plant tissues
These methodological refinements significantly improve detection sensitivity and reduce false negatives in complex plant tissues.
High background or non-specific binding represents a common challenge that can obscure genuine signals. Systematic troubleshooting approaches include:
Blocking optimization: Testing different blocking agents (BSA, normal serum, casein) and concentrations
Antibody dilution testing: Performing dilution series to identify optimal antibody concentration that maximizes signal-to-noise ratio
Washing stringency adjustment: Modifying wash buffer composition (salt concentration, detergent type/amount) and increasing wash duration/frequency
Pre-adsorption strategy: Pre-incubating the antibody with plant tissue extract from species known not to express the target protein
Detection system optimization: Adjusting secondary antibody concentration or switching detection methods (fluorescent vs. enzymatic)
Methodical optimization of these parameters can dramatically improve signal specificity and experimental reliability.
Quantitative applications require additional methodological rigor beyond qualitative detection:
| Parameter | Methodology Considerations | Impact on Quantification |
|---|---|---|
| Standard Curve | Use recombinant protein or calibrated extracts | Enables absolute quantification |
| Linear Range | Determine by serial dilution of positive samples | Ensures measurements within quantifiable range |
| Technical Replicates | Minimum of 3-4 per biological sample | Reduces measurement error |
| Normalization | Loading controls or total protein normalization | Accounts for sample variation |
| Reference Standards | Include consistent positive controls | Enables inter-assay comparison |
This methodological framework ensures reliable quantification of the target protein across experimental conditions and biological replicates.
Emerging single-cell technologies are being adapted for plant research, with antibody-based detection playing a crucial role:
Flow cytometry of protoplasts: Optimizing protocols for plant cell protoplasting while preserving antigenic epitopes
Single-cell immunohistochemistry: Combining laser capture microdissection with sensitive immunodetection methods
Proximity ligation assays: Detecting protein-protein interactions at the single-cell level using antibody pairs
Mass cytometry adaptation: Modifying CyTOF approaches for plant cells using metal-conjugated antibodies
These methodological adaptations enable researchers to investigate cell-to-cell variability in protein expression and localization, providing insights into cellular heterogeneity within plant tissues.
Investigating dynamic protein behavior requires specialized methodological approaches:
Live cell imaging optimization: Developing minimally disruptive antibody labeling for living plant cells
Inducible expression systems: Combining with genetically controlled expression to track protein dynamics following induction
Pulse-chase experimental design: Using timed sampling points and immunoprecipitation to track protein turnover rates
Environmental response studies: Systematic sampling across environmental treatment time courses with quantitative immunodetection
FRAP analysis with immunodetection: Combining photobleaching techniques with antibody labeling to assess protein mobility
These approaches provide temporal resolution to protein expression changes, subcellular relocalization events, and protein turnover in response to developmental or environmental cues.
Effective integration of antibody-derived data with existing bioinformatic resources enhances research impact:
The Arabidopsis Information Resource (TAIR): Connecting antibody-detected expression patterns with genomic annotations and gene ontology data
Arabidopsis Protein Phosphorylation Site Database: Relating immunodetected protein levels to known post-translational modifications
Arabidopsis Co-expression Tool: Correlating antibody-verified protein expression with co-expression networks
Plant Reactome: Mapping detected proteins to biological pathways for functional interpretation
Expression Atlas: Comparing antibody-derived protein expression with transcriptomic data across conditions
This integrated approach positions experimental findings within the broader context of plant systems biology and leverages existing knowledge bases.
Future methodological developments are likely to expand antibody applications in plant science:
Nanobody and recombinant antibody fragment adaptations: Smaller antibody formats may improve tissue penetration and reduce background in plant samples
Microfluidic immunoassays: Enabling higher-throughput analysis with minimal sample requirements
Antibody-based biosensors: Development of real-time detection systems for live plant tissues
Spatial transcriptomics integration: Combining antibody detection with spatially resolved transcriptomics for multi-omics spatial mapping
CRISPR-based epitope tagging: Complementary approaches to validate antibody specificity and function in planta