The At5g40300 Antibody (Product Code: CSB-PA880807XA01DOA) specifically binds to the Arabidopsis histidine kinase 5 (AHK5), a protein involved in two-component signaling pathways that regulate stress responses and developmental processes . Key identifiers include:
| Parameter | Detail |
|---|---|
| Uniprot ID | Q9FNE8 |
| Target Species | Arabidopsis thaliana (Mouse-ear cress) |
| Product Size | 2 ml (working concentration) / 0.1 ml (purified) |
| Applications | Western blot, immunoprecipitation, ELISA |
AHK5 is a plasma membrane-localized sensor kinase implicated in calcium signaling, reactive oxygen species (ROS) regulation, and systemic acquired resistance .
AHK5 modulates stomatal aperture dynamics in response to abiotic stressors like hydrogen peroxide (H₂O₂). Studies using the At5g40300 Antibody revealed that AHK5-knockout mutants exhibit unmitigated stomatal movement under diverse stimuli, linking its activity to calcium-dependent signaling networks .
Oxidative Stress: AHK5 interacts with the NADPH oxidase RBOHD to regulate ROS production during pathogen defense .
Senescence: The antibody has been used to study AHK5’s role in age-dependent leaf senescence, demonstrating altered expression profiles in late-growth stages .
AHK5 integrates brassinosteroid and ethylene signaling pathways. Phosphoproteomic analyses using this antibody identified phosphorylation sites critical for kinase activity, influencing root development and cell wall composition .
The antibody was validated through:
Immunoblotting: Detection of a ~120 kDa band corresponding to AHK5 in wild-type Arabidopsis extracts, absent in AHK5-knockout lines .
Co-Immunoprecipitation (Co-IP): Confirmed interactions with RBOHD and calcium sensors .
Transcriptomic data from AHK5 mutants showed differential expression of 374 genes (FDR < 0.05), including PR-1 (pathogenesis-related) and PDF1.2 (jasmonate-responsive), highlighting its regulatory breadth .
Recent studies utilizing this antibody have revealed:
KEGG: ath:AT5G40300
UniGene: At.30291
Antibody specificity verification requires a multi-method approach. Begin with Western blot analysis using both wild-type and knockout/knockdown plant tissue to confirm the antibody recognizes a band of the expected molecular weight in wild-type samples that is absent or reduced in knockout samples. For At5g40300 antibodies, immunoprecipitation (IP) followed by mass spectrometry is particularly valuable to identify potential cross-reactive targets. Recent studies have shown that even well-established antibodies can exhibit unspecific binding to proteins of similar molecular weight; for example, the anti-glucocorticoid receptor antibody clone 5E4 was found to predominantly target AMPD2 and TRIM28 rather than its intended target . To prevent similar issues with your At5g40300 antibody, perform replicate experiments using antibodies from different manufacturers or different lots, and analyze samples with mass spectrometry to confirm target enrichment .
Plant tissues present unique challenges for antibody-based detection. Common pitfalls include:
Cross-reactivity with highly conserved plant protein domains
Interference from plant secondary metabolites and polysaccharides
Variable expression of the target protein across developmental stages
Post-translational modifications affecting epitope accessibility
To minimize these issues when studying At5g40300, incorporate comprehensive controls including pre-immune serum controls, absorption controls with recombinant protein, and careful sample preparation to remove interfering compounds. Similar to the approach used for validating antibodies in the IgLON5 study, consider using glycosylated versus deglycosylated protein extracts to determine if your antibody recognizes glyco-epitopes . Additionally, confirm specificity through immunohistochemistry comparing wild-type and mutant plant tissues.
This is crucial for selecting appropriate applications. For native protein recognition assessment:
Compare results from applications using native (immunofluorescence, flow cytometry) versus denatured protein (Western blot)
Perform non-denaturing gel electrophoresis followed by Western blotting
Test the antibody in immunoprecipitation assays
If the antibody only recognizes denatured protein, it will be unsuitable for techniques requiring native protein recognition. Based on approaches used with other antibodies, you can test epitope accessibility by comparing immunoreactivity with glycosylated versus deglycosylated protein extracts of plants expressing At5g40300 . Document these characteristics thoroughly to guide experimental design.
For protein-protein interaction studies with At5g40300:
Co-immunoprecipitation (Co-IP): Use your validated At5g40300 antibody to pull down the protein complex from plant lysates, followed by Western blot or mass spectrometry to identify interacting partners. Include stringent washing steps to reduce non-specific binding.
Proximity-dependent labeling: Consider BioID or APEX2 fusions with At5g40300 to label proximal proteins in living cells.
Controls: Implement negative controls using pre-immune serum or IgG from the same species, and positive controls with known interactors if available.
Cross-linking: For transient interactions, use chemical cross-linkers prior to Co-IP to stabilize protein complexes.
When interpreting results, be aware that pull-down experiments may identify both direct and indirect interactors. Similar to approaches used in other antibody studies, the enriched samples should be analyzed by mass spectrometry to confirm the identity of pulled-down proteins and potential interactors .
Fixation conditions can dramatically affect epitope availability. For At5g40300 localization:
| Fixation Method | Advantages | Disadvantages | Recommended for |
|---|---|---|---|
| 4% Paraformaldehyde | Preserves protein antigenicity | May not preserve subcellular structures well | General localization studies |
| Methanol/acetone | Better for some membrane proteins | Can disrupt protein complexes | Cytoskeletal proteins |
| Glutaraldehyde mixtures | Superior ultrastructure preservation | Often reduces antigenicity | EM studies with antigen retrieval |
Start with 4% paraformaldehyde for 10-20 minutes at room temperature, as this is often sufficient for most plant proteins. For At5g40300, optimize fixation time based on tissue type and protein abundance. If initial results are poor, try antigen retrieval methods or alternative fixation protocols. Drawing from methods used in neuronal studies, you might also consider shorter fixation times (5 minutes) for surface proteins, as was effective in preserving antibody reactivity in neuronal cell surface studies .
For accurate quantification:
Western blot quantification: Use a standard curve of recombinant At5g40300 protein. Ensure linear detection range by testing multiple exposure times and protein amounts.
ELISA development: Develop a sandwich ELISA using two antibodies recognizing different At5g40300 epitopes for higher specificity and quantitative precision.
Flow cytometry: For single-cell analysis in protoplasts, optimize antibody concentration and include proper controls for autofluorescence.
Normalization: Always normalize to appropriate housekeeping proteins that remain stable under your experimental conditions.
Document the linear range of your assay and ensure all experimental samples fall within this range. Be aware that relative quantification is more reliable than absolute quantification unless using recombinant protein standards. Following protocols similar to those used in neuronal studies, you can quantify the amount of At5g40300 using confocal microscopy and software like Imaris suite for co-localization analysis .
Inconsistent results may stem from:
Antibody batch variation: Different manufacturing lots can show different specificities and affinities. This is especially true for polyclonal antibodies, which exhibit higher batch-to-batch variability than monoclonal antibodies .
Target protein expression variability: At5g40300 expression may change with plant developmental stage, stress conditions, or circadian rhythms.
Technical variables: Subtle differences in sample preparation, incubation times, or detection methods.
Epitope masking: Post-translational modifications or protein-protein interactions may block antibody binding sites.
To address these issues, standardize all experimental conditions and consider using recombinant monoclonal antibodies when available, as they offer minimal batch-to-batch variation and long-term secured supply . Document all antibody details including catalog number, lot number, and dilution. If possible, reserve a large quantity of a single antibody lot for an entire research project.
Understanding the epitope recognized by your antibody provides valuable information for experimental design:
Peptide array analysis: Test antibody binding against overlapping peptides spanning the At5g40300 sequence to identify the specific binding region.
Truncation mutants: Create a series of truncated At5g40300 proteins to narrow down the epitope location.
Site-directed mutagenesis: Mutate specific amino acids in the suspected epitope to confirm critical binding residues.
In silico prediction: Use computational tools to predict antigenic regions and compare with experimental results.
Knowledge of the epitope location helps predict potential cross-reactivity with related proteins and informs whether the antibody will recognize specific protein isoforms or post-translationally modified forms. Similar to the approach used in characterizing anti-IgLON5 antibodies, you can identify which domain of At5g40300 is recognized by your antibody by expressing individual domains in expression systems like HEK293 cells .
This common problem indicates the antibody recognizes denatured but not native epitopes:
Epitope retrieval: Try heat-induced or enzymatic antigen retrieval methods to expose hidden epitopes in fixed tissues.
Alternative fixation: Test different fixation protocols that may better preserve the epitope structure recognized by your antibody.
Permeabilization optimization: Adjust detergent type and concentration to improve antibody accessibility while preserving protein localization.
Try monoclonal alternatives: If using a polyclonal antibody, test monoclonal antibodies that may recognize more accessible epitopes.
Amplification systems: Implement tyramide signal amplification or other signal enhancement methods for low-abundance targets.
Document successful conditions meticulously for reproducibility. If these approaches fail, consider developing new antibodies against more accessible regions of At5g40300 or use epitope tagging approaches for localization studies.
For successful ChIP experiments:
Crosslinking optimization: Start with standard 1% formaldehyde for 10 minutes, but optimize time and concentration for At5g40300 if initial results are poor.
Sonication parameters: Adjust sonication conditions to achieve chromatin fragments of 200-500 bp.
Antibody selection: Use antibodies validated specifically for ChIP applications, as not all antibodies that work in Western blots will perform in ChIP.
Controls: Include input controls, IgG controls, and positive controls targeting known DNA-binding proteins.
Quantification: Use qPCR or sequencing to analyze enriched DNA regions.
If At5g40300 is part of a protein complex, consider dual crosslinking with protein-protein crosslinkers before formaldehyde treatment. This approach has improved ChIP efficiency for some challenging targets. Following verification strategies similar to those used for other antibodies, confirm the specificity of your antibody in ChIP applications through appropriate controls and replicate experiments .
Live-cell imaging presents unique challenges:
Antibody format: Use Fab fragments or single-domain antibodies (nanobodies) to improve tissue penetration and reduce interference with protein function.
Fluorophore selection: Choose bright, photostable fluorophores with minimal spectral overlap if performing multiplex imaging.
Antibody concentration: Optimize to achieve sufficient signal without inducing artificial clustering or internalization of the target protein.
Cell viability: Monitor for potential cytotoxicity from antibody binding or internalization.
Control experiments: Include non-binding antibody controls and validate that antibody binding doesn't alter normal protein dynamics.
Similar to approaches used in neuronal culture studies, you can monitor the effects of antibody binding on At5g40300 localization and function by measuring changes in cluster formation or protein internalization rates over time . If direct antibody labeling affects protein function, consider alternative approaches like SNAP-tag or HaloTag labeling systems.
PLA is powerful for visualizing protein-protein interactions in situ:
Antibody pairs: Use antibodies raised in different species against At5g40300 and its potential interacting partner.
Proximity probes: Select appropriate PLA probes matching your primary antibody species.
Optimization: Adjust antibody concentrations, incubation times, and washing conditions for optimal signal-to-noise ratio.
Controls: Include negative controls (omitting one primary antibody) and positive controls (known interacting proteins).
Analysis: Use appropriate image analysis software to quantify PLA signals across different experimental conditions.
PLA can detect proteins in close proximity (≤40 nm) but doesn't prove direct interaction. Complement PLA results with biochemical interaction assays like co-immunoprecipitation for stronger evidence of direct interaction. As with other advanced techniques, rigorous validation of antibody specificity is essential before interpreting PLA results .
AI technologies are revolutionizing antibody research:
Epitope prediction: AI algorithms can predict optimal antigenic regions of At5g40300 for antibody generation.
Antibody sequence design: Machine learning approaches can generate optimal complementarity-determining region (CDR) sequences for high-affinity and specificity.
Cross-reactivity prediction: AI models can predict potential cross-reactivity with other plant proteins to avoid off-target binding.
Validation strategy optimization: Machine learning can help design optimal validation workflows based on antibody characteristics.
Recent developments in AI-based antibody design, as seen in technology for de novo generation of antigen-specific antibody CDRH3 sequences, could be applied to develop more specific At5g40300 antibodies . These technologies mimic natural antibody generation processes but bypass their complexity, potentially offering more efficient alternatives to traditional experimental approaches for antibody discovery .
Combining immunoprecipitation with sequencing technologies:
RIP-Seq: If At5g40300 interacts with RNA, RNA immunoprecipitation followed by sequencing can identify bound RNA species.
ChIP-Seq: For DNA-binding proteins, ChIP followed by sequencing identifies genome-wide binding sites.
IP-Mass Spec: Immunoprecipitation followed by mass spectrometry identifies protein interaction partners.
CLIP-Seq: For RNA-binding proteins, cross-linking immunoprecipitation identifies direct RNA binding sites.
These approaches require highly specific antibodies and appropriate controls to distinguish true signals from background. Careful optimization of crosslinking, immunoprecipitation, and library preparation conditions is essential for reliable results. Similar to approaches used in validating other antibodies, confirm the enrichment of your target protein using mass spectrometry analysis of immunoprecipitated samples .
Recombinant antibody technologies offer several advantages:
Consistency: Recombinant antibodies show minimal batch-to-batch variation compared to traditional monoclonal or polyclonal antibodies .
Engineerability: The known antibody sequence allows for engineering modifications like humanization, affinity maturation, or adding fusion tags.
Renewable source: Once the sequence is known, the antibody can be produced indefinitely without hybridomas.
Customization: Recombinant technologies allow format switching (IgG, Fab, scFv) for different applications.
For long-term At5g40300 research projects, investing in recombinant antibody development may provide superior reproducibility and flexibility. As noted in antibody selection guidelines, "recombinant monoclonal antibodies offer long-term, secured supply with minimal batch-to-batch variation" . Consider collaborating with antibody engineering specialists or commercial providers to develop recombinant antibodies against specific At5g40300 epitopes.