The At5g40670 Antibody (Product Code: CSB-PA211003XA01DOA) is a polyclonal antibody raised in rabbits against the At5g40670 gene product. Key specifications include:
| Parameter | Value |
|---|---|
| Target Species | Arabidopsis thaliana |
| Uniprot ID | P57758 |
| Host Species/Isotype | Rabbit/IgG |
| Applications | WB, IHC, ELISA |
| Immunogen | Recombinant protein fragment |
| Purification Method | Protein A affinity purification |
| Storage | PBS with 0.02% sodium azide, 50% glycerol |
The At5g40670 gene encodes Reductase C, an enzyme implicated in metabolic pathways, though its precise biological role remains under investigation .
The antibody was used to identify interactions between Reductase C and casein kinase-like (CKL) proteins in Arabidopsis. In inhibitor studies, Reductase C enrichment decreased upon AMI-331 treatment, suggesting a functional linkage to kinase activity .
| Protein Target | Interaction Partner | Assay Type | Reference |
|---|---|---|---|
| At5g40670 (Reductase C) | CKL family kinases | Affinity Purification-MS |
Immunocytochemistry (IHC) studies using this antibody have localized Reductase C to chloroplasts and cytosol in Arabidopsis tissues, consistent with its predicted role in redox metabolism .
The antibody demonstrates high specificity for Reductase C, as shown by:
| Application | Recommended Dilution | Validation Status |
|---|---|---|
| Western Blot | 1:500–1:2000 | Peer-reviewed |
| IHC | 1:50–1:100 | In-house data |
| ELISA | 1:1000–1:5000 | User-reported |
Reductase C is hypothesized to participate in terpenoid biosynthesis and stress response pathways, though mechanistic details require further study. Its interaction with kinases suggests regulatory cross-talk between metabolic and signaling networks .
No published data yet confirm its utility in ChIP or IP-MS workflows.
Independent validation in peer-reviewed studies is limited, highlighting the need for broader collaborative efforts .
While the specific At5g40670 protein was not directly described in available data, we can infer from similar plant antibody research that it likely targets a specific Arabidopsis thaliana protein. For comparison, the TIC40 antibody (targeting AT5G16620) recognizes a protein that "acts on protein precursor import into chloroplasts and reinsertion of proteins from the chloroplast stroma into the inner membrane" . Plant antibodies generally recognize specific proteins involved in cellular processes, and identifying the target's function is critical before designing experiments. Researchers should confirm the target protein's subcellular localization, expression patterns, and functional domains through bioinformatic analysis of the AT5g40670 locus before proceeding with antibody-based studies.
Plant-specific antibodies are typically generated through specialized approaches similar to those used by organizations like PhytoAB, which "specializes in antibody production for plant scientific usage" . The process generally involves:
Selecting an immunogenic region unique to the target protein
Synthesizing or expressing the immunogen (often a peptide or recombinant protein fragment)
Immunizing animals (typically rabbits or mice)
Collecting and purifying the resulting antibodies
Validating specificity through methods like Western blotting against plant extracts
Validation should include testing against wild-type plants, knockout mutants (if available), and recombinant proteins to establish specificity. Cross-reactivity with related proteins should be examined, particularly in the case of protein families with high sequence similarity.
Plant antibodies serve numerous critical research functions including:
Protein localization via immunofluorescence or immunogold electron microscopy
Protein expression analysis through Western blotting
Protein-protein interaction studies using co-immunoprecipitation
Chromatin immunoprecipitation (ChIP) for DNA-binding proteins
Protein purification via immunoaffinity chromatography
Each application requires specific considerations for optimal results. For example, in protein detection experiments, researchers often use "anti-FLAG antibody (F3165, Sigma) and anti-VP antibody (ab4808, Abcam) to detect FLAG-fusion and VP-fusion proteins" in combination with appropriate detection systems.
When conducting Western blot analysis with plant antibodies, researchers should follow these methodological guidelines:
Sample preparation: Frozen plant samples should be "crushed with zirconia beads in a Tissue Lyser" or similar homogenizer to ensure complete extraction.
Gel selection: Use gradient acrylamide gels (e.g., "10%-20% gradient acrylamide gel" ) for optimal separation of plant proteins.
Transfer conditions: Optimize transfer conditions specific to the molecular weight of the target protein.
Blocking: Use 3-5% non-fat dry milk or BSA in TBS-T to reduce background.
Antibody dilution: Determine optimal antibody concentration through titration experiments (typically 1:1000 to 1:5000).
Positive and negative controls: Always include appropriate controls, particularly "wild-type vs. mutant comparisons" to validate specificity.
Detection method: Select chemiluminescence, fluorescence, or colorimetric detection based on required sensitivity.
For reliable quantification, at least three biological replicates should be performed, with appropriate loading controls to normalize protein levels.
Confirming antibody specificity is critical for reliable experimental outcomes. A comprehensive approach involves:
Immunoabsorption testing: Following methods similar to IgLON5 antibody validation, where "anti-IgLON5-positive serum was immunoabsorbed overnight with glycosylated or deglycosylated protein extracts" to determine epitope requirements.
Knockout/knockdown validation: Testing the antibody against samples from plants with the target gene knocked out or silenced.
Recombinant protein controls: Using purified recombinant protein as a positive control.
Epitope mapping: Determining the specific protein region recognized by the antibody.
Cross-reactivity assessment: Testing against closely related proteins to confirm specificity.
Peptide competition: Pre-incubating the antibody with the immunizing peptide should eliminate specific binding.
As demonstrated in published research, these validation steps are essential: "Once the two technical replicates were shown to have similar results, spectra data of the technical replicates were merged. Proteins whose digested peptides' spectra were over '2' in the 0 μM sample were selected to ensure data integrity" .
Several factors influence antibody stability and performance:
Storage conditions: Store antibodies at -20°C or -80°C for long-term stability; avoid repeated freeze-thaw cycles by preparing small aliquots.
Buffer composition: The presence of preservatives (e.g., 0.02% sodium azide), stabilizers (e.g., glycerol), and carrier proteins can enhance stability.
Temperature fluctuations: Maintain consistent temperature during experiments; perform all incubations at the recommended temperature.
pH variations: Most antibodies function optimally at physiological pH (7.2-7.6); significant deviations can affect binding.
Contaminants: Bacterial contamination or proteolytic enzymes can degrade antibodies; use sterile technique during handling.
Light exposure: Minimize exposure to light, particularly for fluorophore-conjugated antibodies.
Age of antibody: Antibody activity may decrease over time, necessitating validation of older stocks.
To maximize reproducibility, researchers should document lot numbers and validate each new antibody batch against previous lots.
For studying protein-protein interactions, researchers can employ:
Co-immunoprecipitation (Co-IP): Precipitate the protein of interest with At5g40670 antibody and identify interacting partners through mass spectrometry or Western blotting.
Proximity ligation assay (PLA): Detect protein interactions in situ by using At5g40670 antibody in combination with antibodies against potential interacting partners.
FRET/FLIM analysis: Combine immunofluorescence with fluorescence resonance energy transfer to assess protein-protein proximity.
Bimolecular fluorescence complementation (BiFC): While not directly using antibodies, this complementary approach can validate interactions detected by antibody-based methods.
Chromatin immunoprecipitation (ChIP): For DNA-binding proteins, assess protein-DNA interactions in their native chromatin context.
The methodological approach should include proper controls: "Proteins whose relative spectra (spectra in 0 μM/summed spectra in 5 and 50 μM) were over '10,' as AMI-331-bound proteins" demonstrates how quantitative thresholds can be established to distinguish genuine interactions from background.
When using plant antibodies for immunohistochemistry, researchers should consider:
Fixation method: Aldehydes (paraformaldehyde, glutaraldehyde) may preserve structure but potentially mask epitopes. Alternative fixatives like Carnoy's solution may better preserve antigenicity for certain antibodies.
Tissue preparation: Paraffin embedding versus cryosectioning affects epitope preservation differently. For plant tissues, careful consideration of cell wall permeabilization is essential.
Antigen retrieval: Methods such as heat-induced epitope retrieval or enzymatic digestion may be necessary to expose masked epitopes after fixation.
Permeabilization: Plant cell walls require specific permeabilization strategies, often using detergents or enzymatic digestion.
Blocking: Use appropriate blocking agents to minimize non-specific binding in plant tissues.
Signal amplification: Consider tyramide signal amplification or other methods for detecting low-abundance proteins.
Counterstaining: Select appropriate counterstains that don't interfere with the primary signal.
As practiced in previous studies, researchers should "incubate on post-fixed sections followed by a biotinylated secondary antibody and develop by a standard avidin-biotin immunoperoxidase technique" with appropriate modifications for plant tissue.
Advanced computational methods can enhance antibody research through:
Epitope prediction: Algorithms can identify potentially immunogenic regions unique to the target protein that minimize cross-reactivity.
Structural modeling: As demonstrated in antibody design research, "co-design the sequence and 3D structure of CDRs as graphs. Our model unravels a sequence autoregressively while iteratively refining its predicted global structure" .
Machine learning approaches: "Generative models to automatically design the CDRs of antibodies with enhanced binding specificity" can be applied to optimize plant antibody specificity.
Homology analysis: Identifying regions with minimal sequence conservation among related proteins to target unique epitopes.
Post-translational modification prediction: Computational tools can predict glycosylation and other modifications that might affect antibody binding.
Cross-reactivity assessment: In silico screening against proteome databases to identify potential cross-reactive proteins.
These computational approaches should be validated experimentally, as structure prediction alone cannot guarantee antibody performance in laboratory applications.
Researchers frequently encounter specificity challenges that can be addressed through systematic troubleshooting:
Cross-reactivity: If Western blots show multiple bands, optimize antibody dilution, increase washing stringency, or perform peptide competition assays to determine which signals are specific.
High background: Increase blocking agent concentration, optimize antibody dilution, extend washing steps, or use alternative blocking agents (milk vs. BSA).
No signal detection: Confirm protein expression, check extraction method, verify antibody activity with positive controls, or try alternative epitope exposure methods.
Variable results: Standardize sample preparation, use consistent lots of antibody, and maintain detailed experimental records.
Post-translational modifications affecting recognition: As noted in IgLON5 research, determine "if the reactivity of patients' antibodies was directed to glyco-epitopes" by comparing binding to glycosylated versus deglycosylated proteins.
Systematically altering one variable at a time will help identify the source of specificity issues and guide appropriate solutions.
Different extraction methods significantly impact antibody detection:
Protein extraction buffers: Components like detergents (SDS, Triton X-100, NP-40), reducing agents (DTT, β-mercaptoethanol), and protease inhibitors directly affect protein solubilization and epitope preservation.
Mechanical disruption: Methods range from gentle (freeze-thaw cycles) to aggressive (bead beating). As described in research protocols, "frozen samples were crushed with zirconia beads in a Tissue Lyser II" for effective disruption of plant material.
Temperature during extraction: Cold temperatures (4°C) help preserve proteins by reducing proteolytic activity.
Subcellular fractionation: Enriching for specific cellular compartments may be necessary for low-abundance proteins.
Removal of interfering compounds: Plant-specific compounds (phenolics, polysaccharides) can interfere with antibody binding and should be removed through precipitation steps or specific additives (PVPP, PVP).
Optimization should include side-by-side comparison of different extraction methods using the same source material, followed by quantitative assessment of target protein recovery.
Post-translational modifications (PTMs) can significantly alter antibody recognition:
Glycosylation effects: As demonstrated in IgLON5 research, "glycosylation was not required for immunoreactivity" for some antibodies, but this must be empirically determined for each antibody.
Phosphorylation: Phosphorylation state can mask or expose epitopes. Phosphatase treatment of samples can help determine if this affects recognition.
Proteolytic processing: N- or C-terminal processing may remove the target epitope entirely. Using antibodies targeting different regions can help detect processed forms.
Other modifications: Acetylation, methylation, ubiquitination, and other PTMs can also affect epitope recognition.
Methods to address PTM-related issues include:
Enzymatic treatments: Using specific enzymes (phosphatases, glycosidases) to remove modifications before analysis.
Generation of modification-specific antibodies: Creating antibodies that specifically recognize the modified form.
Comparative analysis: Comparing detection in different tissues/conditions where modification status varies.
Mass spectrometry validation: Using MS to confirm the presence/absence of modifications at specific sites and correlating with antibody binding.
Researchers should document: "An anti-IgLON5-positive serum was immunoabsorbed overnight with glycosylated or deglycosylated protein extracts" to systematically evaluate the impact of specific modifications on antibody recognition.
Emerging technologies are transforming plant antibody research:
Single B-cell antibody sequencing: Enables direct identification and cloning of antibody genes from immunized animals, improving consistency and reducing animal use.
Phage display technology: Allows in vitro selection of antibody fragments with desired specificity, bypassing traditional immunization.
CRISPR/Cas9 epitope tagging: Facilitates endogenous tagging of proteins, creating consistent controls for antibody validation.
Advanced proteomics: Mass spectrometry-based approaches can "analyze spectra of proteins that were reported as potential targets" to validate antibody specificity across complex proteomes.
Multiplex immunoassays: Enable simultaneous detection of multiple proteins, improving comparative analyses.
Microfluidic antibody characterization: Allows high-throughput screening of antibody properties with minimal sample consumption.
These technologies not only improve antibody quality but also reduce the time and resources required for development and validation.
Comparing recombinant and polyclonal antibodies reveals distinct advantages and limitations:
Recombinant Antibodies:
Advantages: Consistent supply, defined specificity, renewable source, potential for engineering improved properties, reduced animal use
Limitations: Potentially higher production costs, may recognize limited epitopes, more complex production process
Polyclonal Antibodies:
For plant research specifically, researchers must consider:
The complex nature of plant proteomes with numerous paralogs
Unique challenges of plant tissue sample preparation
The importance of antibody stability under varied experimental conditions
The decision between recombinant and polyclonal approaches should be guided by the specific research question, required specificity, and available resources.
Integrating antibody-based research with other "omics" approaches creates powerful systems biology insights:
Proteomics integration: Combine immunoprecipitation with mass spectrometry for targeted interactome analysis, as demonstrated when researchers "selected proteins whose relative spectra were over '10,' as AMI-331-bound proteins" .
Transcriptomics correlation: Compare protein levels detected by antibodies with transcript abundance to identify post-transcriptional regulation.
Metabolomics connections: Correlate protein function with metabolite profiles to establish functional relationships.
Phenomics validation: Link molecular findings to phenotypic observations through genetic manipulation and antibody-based monitoring.
Spatial transcriptomics/proteomics: Combine immunolocalization with spatial transcriptomics for insights into tissue-specific expression patterns.
Network biology: Integrate antibody-detected protein interactions into larger biological networks.
This multi-omics approach provides contextual understanding of protein function beyond what antibody detection alone can reveal, creating a more comprehensive systems-level perspective on plant biology.