Gene function: At4g39670 encodes a protein similar to ACD11, which regulates programmed cell death (PCD) in plants during stress or pathogen interactions .
Structural features: While the exact structure remains uncharacterized, homology modeling suggests involvement in lipid binding or signaling due to its similarity to ACD11 .
Expression patterns: Transcriptomic studies show At4g39670 is upregulated under high-light (HL) stress (log₂ ratio = 1.80) , indicating a role in oxidative stress responses.
The antibody is used in:
Western blotting: To detect protein expression levels under varying stress conditions (e.g., HL, pathogen attack) .
Immunolocalization: To determine subcellular localization, particularly in studies of endoplasmic reticulum (ER)-associated stress responses .
Functional studies: To explore interactions with other proteins involved in cell death or stress signaling .
Stress Condition | Log₂ Fold Change | Function Implication | Source |
---|---|---|---|
High light (HL) | +1.80 | Linked to ROS signaling | |
Pathogen attack | Not quantified | Associated with PCD pathways |
Application | Host Species | Clonality | Reactivity | Validation Status |
---|---|---|---|---|
Western blot | Rabbit | Polyclonal | A. thaliana | Peer-reviewed |
Immunofluorescence | Rabbit | Polyclonal | A. thaliana | Preliminary |
Notable observations:
Structural resolution: No crystallographic data exist for the At4g39670 protein-antibody complex.
Functional networks: Interactions with stress-responsive proteins (e.g., MAP kinases, redox regulators) remain poorly characterized .
Therapeutic potential: Insights into plant PCD could inform crop resilience strategies, though direct applications are speculative .
At4g39670 is an Arabidopsis thaliana gene locus located on chromosome 4. While specific information about this particular gene is limited in the provided search results, its designation follows the standard Arabidopsis nomenclature system where "At" indicates Arabidopsis thaliana, "4" refers to chromosome 4, "g" denotes a gene, and "39670" is its numerical identifier. Understanding the protein encoded by this gene would typically involve sequence analysis, expression studies, and functional characterization similar to approaches used for other plant genes. In antibody development, characterizing the target protein's structure and biochemical properties is essential for generating specific antibodies with high affinity.
When selecting an antibody against At4g39670 for immunoblotting, researchers should consider several key factors: (1) antibody specificity - the ability to distinguish the target protein from other cellular proteins; (2) sensitivity - the minimum amount of protein that can be detected; (3) epitope location - whether the antibody recognizes native or denatured protein; and (4) validation status - whether the antibody has been validated in immunoblotting applications with appropriate controls. Similar to antibody selection processes observed in other studies, researchers should review validation data showing the antibody's performance with positive controls (recombinant At4g39670 protein) and negative controls (knockout or knockdown plant material) . Cross-reactivity testing against related plant proteins would also be essential to confirm specificity.
Sample preparation for At4g39670 detection requires careful consideration of protein extraction methods and buffer composition. Plant tissues contain numerous compounds that can interfere with antibody binding, including phenolics, polysaccharides, and proteases. Based on antibody research protocols, researchers should: (1) use fresh tissue or flash-freeze and store at -80°C; (2) incorporate protease inhibitors in extraction buffers; (3) optimize detergent concentration for protein solubilization; and (4) consider using reducing agents to maintain protein in a denatured state for SDS-PAGE applications. The extraction buffer should be optimized based on the subcellular localization of the At4g39670 protein, as different compartments (cytosolic, membrane-bound, nuclear) require different extraction conditions to ensure complete protein recovery and preservation of epitopes recognized by the antibody .
Proper experimental controls are critical when using antibodies against At4g39670. At minimum, researchers should include: (1) positive controls - recombinant At4g39670 protein or tissues known to express the protein; (2) negative controls - tissues from knockout plants, RNAi lines with reduced expression, or tissues known not to express the protein; (3) technical controls - primary antibody omission control and isotype control; and (4) loading controls - detection of housekeeping proteins to ensure equal sample loading. Similar to practices in antibody validation described for other research contexts, these controls help distinguish specific signal from background or non-specific binding, which is particularly important when working with plant materials where cross-reactivity can occur with related proteins .
Non-specific binding presents a significant challenge in plant immunohistochemistry due to complex tissue composition and abundant secondary metabolites. When using At4g39670 antibodies for immunohistochemistry, researchers should implement multiple optimization strategies: (1) extensive blocking with appropriate blocking agents (BSA, normal serum, plant-derived blocking agents); (2) titration of primary antibody concentration to determine optimal signal-to-noise ratio; (3) comparison of different fixation methods to preserve antigenicity while maintaining tissue morphology; and (4) antigen retrieval methods to expose epitopes potentially masked during fixation. Drawing from antibody research methodology, additional approaches include pre-adsorption of the antibody with recombinant At4g39670 protein as a specificity control, and comparison of staining patterns between wild-type and knockout tissues to distinguish specific from non-specific signals .
Genetic validation using knockout or knockdown plants represents the gold standard for antibody specificity verification. For At4g39670 antibodies, researchers should implement a comprehensive validation strategy: (1) generate or obtain At4g39670 knockout plants using T-DNA insertion lines, CRISPR-Cas9 editing, or other applicable methods; (2) develop RNAi or artificial microRNA knockdown lines with reduced At4g39670 expression; (3) perform immunoblotting, immunoprecipitation, or immunohistochemistry with wild-type, knockout, and knockdown samples in parallel; and (4) quantitatively analyze signal reduction in knockout/knockdown samples compared to wild-type. Following principles of antibody validation, researchers should observe complete signal absence in knockout tissues and partial signal reduction in knockdown tissues. This validation approach provides definitive evidence of antibody specificity and establishes confidence in experimental results .
Chromatin immunoprecipitation using At4g39670 antibodies presents unique challenges due to potential cross-linking effects on epitope accessibility and chromatin complexity. Based on advanced antibody application principles, researchers should: (1) evaluate antibody performance using native ChIP versus cross-linked ChIP; (2) optimize cross-linking conditions (formaldehyde concentration and incubation time) specifically for plant tissues; (3) implement rigorous sonication optimization to achieve appropriate chromatin fragmentation; and (4) employ sequential ChIP (re-ChIP) approaches if investigating protein-protein interactions involving At4g39670. Additionally, researchers should include input controls, IgG controls, and positive controls targeting known chromatin-associated proteins. Optimization of washing stringency is particularly important to reduce background while maintaining specific interactions. These methodological considerations are essential for generating reliable ChIP data with At4g39670 antibodies .
Distinguishing between protein isoforms or post-translationally modified versions requires careful antibody selection and experimental design. For At4g39670, researchers should: (1) characterize potential splice variants or protein isoforms through bioinformatic analysis and RT-PCR validation; (2) identify predicted post-translational modification sites (phosphorylation, glycosylation, etc.); (3) develop or obtain isoform-specific antibodies targeting unique regions; and (4) use modification-specific antibodies for detecting post-translationally modified forms. Drawing from antibody research approaches, researchers can implement two-dimensional gel electrophoresis followed by immunoblotting to separate protein variants based on both molecular weight and isoelectric point. Additionally, immunoprecipitation combined with mass spectrometry can identify specific modifications present on the immunoprecipitated protein. These approaches enable detailed characterization of At4g39670 protein diversity and functional states .
Co-immunoprecipitation (co-IP) with At4g39670 antibodies requires careful optimization to preserve protein-protein interactions while minimizing non-specific binding. Based on established antibody-based research methodologies, researchers should: (1) select lysis buffers that effectively solubilize membrane and cellular components without disrupting protein-protein interactions; (2) determine optimal antibody concentration and incubation conditions; (3) select appropriate beads (protein A/G, magnetic vs. agarose) based on antibody isotype; and (4) implement stringent controls including IgG control, input control, and reverse co-IP where possible. For plant tissues specifically, researchers should consider using crosslinking approaches to stabilize transient interactions before cell lysis. Additionally, researchers should validate co-IP results using alternative methods such as yeast two-hybrid or split-GFP assays to confirm the biological relevance of detected interactions .
Quantitative immunoblotting for At4g39670 requires methodological rigor to ensure accurate and reproducible measurements. Researchers should: (1) establish a standard curve using recombinant At4g39670 protein to confirm linear detection range; (2) optimize primary and secondary antibody concentrations to ensure signal proportionality to protein amount; (3) implement technical replicates and biological replicates to account for variability; and (4) use internal loading controls appropriate for the experimental conditions. Based on quantitative immunoblotting principles, researchers should consider using fluorescent secondary antibodies rather than chemiluminescence for more accurate quantification. Additionally, researchers should validate results using orthogonal methods such as mass spectrometry-based quantification. These approaches enable reliable quantitative analysis of At4g39670 protein levels across different experimental conditions or genetic backgrounds .
Epitope masking occurs when protein-protein interactions obscure antibody binding sites, potentially leading to false-negative results. For At4g39670 antibodies, researchers should implement multiple strategies: (1) use multiple antibodies targeting different regions of the protein; (2) employ different protein denaturation conditions to disrupt protein complexes while preserving epitope recognition; (3) implement epitope retrieval methods for fixed samples; and (4) consider proximity labeling approaches (BioID, APEX) as alternative methods to detect protein interactions. Drawing from antibody research methodology, researchers can also use crosslinking mass spectrometry to map interaction interfaces and predict potential epitope masking. Understanding the structural basis of At4g39670 interactions can inform antibody selection and experimental design to minimize epitope masking effects .
Conflicting results between different antibodies targeting the same protein require systematic investigation. When faced with discrepancies using At4g39670 antibodies, researchers should: (1) compare epitope locations and determine if they recognize different domains of the protein; (2) evaluate antibody validation data and specificity controls; (3) consider the possibility of protein isoforms or post-translational modifications being differentially recognized; and (4) implement orthogonal methods to confirm results. Based on principles from germline-restricted antibody responses, researchers should be particularly attentive to potential cross-reactivity with related plant proteins or conserved domains . Additionally, researchers should systematically test different experimental conditions with each antibody to determine if discrepancies are method-dependent or truly reflect biological differences in the target protein.
Weak or inconsistent antibody signals present significant challenges in At4g39670 research. To address these issues, researchers should implement a systematic optimization approach: (1) test different protein extraction methods to maximize target protein recovery and preserve epitope integrity; (2) optimize antibody concentration, incubation time, and temperature; (3) evaluate different detection systems (chemiluminescence, fluorescence) and signal amplification methods; and (4) implement antigen retrieval techniques for fixed samples. Drawing from research on germline-encoded recognition motifs in antibodies, researchers should also consider the possibility that conformational changes in At4g39670 under different experimental conditions might affect epitope accessibility . Additionally, researchers can explore the use of signal enhancement systems or more sensitive detection methods to improve signal-to-noise ratio.
Distinguishing specific from non-specific bands is critical for accurate data interpretation. For At4g39670 antibodies, researchers should implement multiple validation approaches: (1) compare observed band size with predicted molecular weight, accounting for potential post-translational modifications; (2) perform peptide competition assays by pre-incubating the antibody with the immunizing peptide; (3) analyze samples from plants with altered At4g39670 expression (overexpression, knockout, knockdown); and (4) perform additional specificity tests such as immunoprecipitation followed by mass spectrometry. Based on principles established in antibody validation research, specific bands should disappear in peptide competition assays and show altered intensity in genetic manipulation samples, while non-specific bands would remain unchanged . Additionally, researchers should be attentive to potential degradation products or alternative splice variants that might produce bands of unexpected sizes.
Super-resolution microscopy with At4g39670 antibodies enables detailed subcellular localization studies beyond the diffraction limit. To optimize these applications, researchers should: (1) select antibodies with high specificity and affinity; (2) implement rigorous controls including knockout/knockdown samples and competition assays; (3) optimize fixation and permeabilization protocols to preserve both antigenicity and subcellular structures; and (4) consider direct fluorophore conjugation to primary antibodies to reduce localization bias from secondary antibody binding. Based on advanced microscopy principles, researchers should compare results across multiple super-resolution techniques (STED, PALM, STORM) to confirm observations. Additionally, researchers can implement proximity ligation assays (PLA) to visualize At4g39670 interactions with other proteins at nanoscale resolution. These approaches provide unprecedented insights into At4g39670 spatial organization and protein-protein interactions within cellular compartments .
Developing phospho-specific antibodies for At4g39670 requires careful design and validation. Researchers should: (1) identify potential phosphorylation sites through computational prediction and mass spectrometry analysis; (2) design immunizing peptides containing the phosphorylated residue with sufficient flanking sequence for specificity; (3) implement dual-purification strategies to isolate phospho-specific antibodies; and (4) validate specificity using phosphatase-treated samples and phosphomimetic mutants. Drawing from research on post-translational modifications, researchers should confirm that phospho-specific antibodies recognize the modified protein only in its phosphorylated state and not the unmodified version . Additionally, researchers should validate the biological relevance of the identified phosphorylation sites through functional studies with phosphomimetic and phospho-dead mutants. These phospho-specific antibodies can provide valuable tools for studying At4g39670 regulation in response to various stimuli or developmental cues.
Structural analysis of antibody-antigen interactions can significantly enhance antibody design and application. For At4g39670 antibodies, researchers should consider: (1) using computational modeling to predict optimal epitopes based on protein structure; (2) implementing epitope mapping through techniques like hydrogen-deuterium exchange mass spectrometry or X-ray crystallography; (3) analyzing complementarity-determining regions (CDRs) that mediate antibody-antigen binding; and (4) engineering antibodies with improved affinity or specificity based on structural insights. Research on antibody binding motifs has revealed that germline-encoded residues, such as the tryptophan at position 33 (W33) in the heavy chain, can be critical for antigen recognition, as observed in anti-α-galactosyl antibodies . Understanding these structural determinants can guide the development of next-generation At4g39670 antibodies with enhanced performance characteristics for specific research applications.