The At5g06290 antibody was raised in rabbits against a synthetic peptide corresponding to the C-terminal consensus sequence of PrxB (Cys-SMKPDPKLSKEYFSAI) . Key characteristics include:
Host species: Rabbit
Clonality: Polyclonal
Target specificity: Recognizes both PrxA (AT3G11630) and PrxB (AT5G06290) due to shared epitopes .
Applications: Western blotting, ELISA, and immunoassays for protein quantification and localization studies .
Subcellular localization: PrxB is cytosolic, as confirmed by immunoblotting of Arabidopsis protoplast fractions .
Tissue-specific expression: PrxB mRNA is detected in roots, leaves, and reproductive tissues, with elevated levels under oxidative stress .
Redox regulation: PrxB interacts with thioredoxin (Trx) and glutaredoxin (Grx) systems to regulate peroxide detoxification and maintain chloroplast redox homeostasis .
Stress responses: PrxB activity is modulated by post-translational modifications (e.g., S-glutathionylation) under oxidative conditions, impacting its peroxidase activity .
PrxB collaborates with Trx isoforms (e.g., Trx m1, Trx m4) to regulate enzymes like fructose-1,6-bisphosphatase (FBPase) and NADP-malate dehydrogenase (NADP-MDH), linking redox state to photosynthetic efficiency .
S-glutathionylation: Inhibits PrxB’s peroxidase activity under high glutathione oxidation states, acting as a redox-sensitive "off switch" .
Hyperoxidation: Irreversibly inactivates PrxB under severe oxidative stress, detectable via mass spectrometry .
The At5g06290 antibody has been pivotal in elucidating plant redox regulation mechanisms. Future work may explore its utility in:
At5g06290 is a gene in Arabidopsis thaliana that encodes a specific protein (UniProt ID: Q9C5R8). While not explicitly characterized in the provided search results, this gene belongs to the broader category of genes studied in A. thaliana for understanding plant molecular functions. Similar to other plant genes, At5g06290 likely plays a role in specific cellular processes that can be studied through antibody-based detection methods. Understanding its function requires experimental validation through methods like gene expression analysis, protein localization studies, and functional assays with knockout or overexpression mutants.
Validating antibody specificity is crucial for reliable results. According to current guidelines from the International Working Group for Antibody Validation (IWGAV), you should employ at least one of five "pillars" for application-specific validation: (1) genetic strategies (testing in conditions where the protein is not expressed), (2) orthogonal strategies (comparing results for varying amounts of target protein identified by other means), (3) independent antibody strategies (comparing results with alternative antibodies), (4) expression of tagged proteins, or (5) immunocapture followed by mass spectrometry . For At5g06290 specifically, a genetic approach using knockout mutants of the gene would be particularly valuable, as this would allow you to confirm the absence of signal when the target protein is not present.
While not specifically addressed in the search results for At5g06290 Antibody, antibody storage best practices generally apply. Store primary antibodies in small aliquots at -20°C to -80°C to avoid repeated freeze-thaw cycles that can degrade antibody performance. When in use, keep the working aliquot at 4°C with an appropriate preservative (typically included in the commercial formulation). Always refer to the manufacturer's recommendations for the specific antibody (CSB-PA861227XA01DOA) as indicated in product documentation . Before each use, centrifuge the antibody briefly to collect the solution at the bottom of the tube.
When performing Western blotting with At5g06290 Antibody, begin with the manufacturer's recommended dilution (typically 1:1000 to 1:5000 for primary antibodies). If not specified for this particular antibody, start with a 1:1000 dilution in blocking buffer containing 3-5% BSA or non-fat dry milk. Optimize blocking conditions to reduce background, typically using 5% non-fat dry milk in TBST (Tris-buffered saline with 0.1% Tween-20). Incubate membranes with primary antibody solution overnight at 4°C with gentle rocking. For detection of Arabidopsis proteins, similar methods to those used in plant telomere research may be applicable, which involve SDS-PAGE separation followed by Western blot analysis .
For immunoprecipitation with At5g06290 Antibody, start by optimizing protein extraction conditions from Arabidopsis tissues. Based on protocols for similar plant protein studies, nuclei isolation using either Percoll gradient, sucrose gradient with Percoll, or extraction protocols may be suitable . For the immunoprecipitation itself, techniques similar to those used for GFP-fused proteins could be adapted, including proper blocking of beads to prevent non-specific binding . Typically, you would incubate 2-5 μg of At5g06290 Antibody with 500-1000 μg of protein lysate overnight at 4°C, followed by capturing the antibody-protein complex with Protein A/G beads. Important controls include using a non-specific IgG from the same species as the At5g06290 Antibody.
Non-specific binding is a common challenge when working with antibodies. To troubleshoot this issue with At5g06290 Antibody, first verify antibody specificity using one of the validation methods discussed in question 1.2. Then, optimize blocking conditions by testing different blocking agents (BSA, non-fat dry milk, or commercial blocking buffers) at various concentrations (3-5%). Increase the number and/or duration of washing steps with buffers containing different detergent concentrations. Consider using more stringent washing conditions, similar to the "alternative washing" approaches mentioned for telomere-associated protein studies . Additionally, titrate antibody concentration to find the optimal signal-to-noise ratio. If high background persists, pre-adsorption of the antibody with non-specific proteins may help reduce non-specific interactions.
To investigate At5g06290 expression under different environmental stresses, design experiments similar to those used for studying R-gene expression in A. thaliana. Start by subjecting plants to controlled stress conditions such as drought, high/low temperature, salinity, or pathogen exposure, with appropriate control groups. Collect tissue samples at different time points following stress application. Quantify At5g06290 expression using qRT-PCR with carefully designed primers specific to At5g06290, similar to the approach used for R-genes in Table 2.2 of the MacQueen study . Design primers that specifically amplify a unique region of At5g06290 (verify specificity using BLAST). Use At5g06290 Antibody for Western blot analysis to confirm changes at the protein level. Include appropriate housekeeping genes as internal controls for normalizing expression data, and consider multiple biological and technical replicates to ensure statistical validity.
To study protein-protein interactions involving At5g06290, multiple complementary approaches are recommended. Co-immunoprecipitation (Co-IP) using At5g06290 Antibody can identify proteins that physically interact with At5g06290 in vivo. The precipitated proteins can then be identified by mass spectrometry, similar to approaches used for telomere-associated proteins . For validation of specific interactions, yeast two-hybrid assays or bimolecular fluorescence complementation (BiFC) can be employed. Additionally, proximity-based labeling methods like BioID or TurboID, where At5g06290 is fused to a biotin ligase, can identify proteins in close proximity under native conditions. For in vitro validation, pull-down assays using recombinant At5g06290 protein can be performed. Finally, computational predictions of protein interactions based on structural homology or co-expression data can guide experimental designs.
For ChIP experiments using At5g06290 Antibody, adapt protocols similar to those used for capturing telomeric chromatin in plants . Begin with cross-linking proteins to DNA in intact plant tissue using formaldehyde (typically 1% for 10-15 minutes). After quenching with glycine, isolate nuclei using one of the methods described in the telomere chromatin studies: Percoll gradient, sucrose gradient with Percoll, or direct extraction . Fragment chromatin to 200-500 bp pieces using sonication, optimizing conditions to prevent over or under-fragmentation. Perform immunoprecipitation using 2-5 μg of At5g06290 Antibody per sample, including appropriate controls (input DNA and non-specific IgG). After washing and reversing cross-links, purify the DNA and analyze by qPCR, sequencing, or hybridization to identify DNA regions associated with At5g06290 protein. For ChIP-seq, consider using at least three biological replicates and include spike-in controls for normalization.
When analyzing data from experiments using At5g06290 Antibody, the statistical approach should match the experimental design. For quantitative Western blot data, normalize band intensities to loading controls and use t-tests (for comparing two conditions) or ANOVA (for multiple conditions) to determine statistical significance. For immunofluorescence quantification, employ image analysis software to measure signal intensity across multiple fields of view and cells, again using appropriate statistical tests. In ChIP-qPCR experiments, calculate percent input or fold enrichment over IgG control and apply statistical tests to compare enrichment across conditions. For large-scale experiments like ChIP-seq or IP-mass spectrometry, utilize specialized bioinformatics pipelines that include false discovery rate controls for multiple hypothesis testing. For all analyses, ensure proper normalization, include both biological and technical replicates (at least three of each), and report effect sizes alongside p-values.
To integrate At5g06290 antibody data with gene expression data, employ a multi-omics approach. First, establish baseline expression patterns of At5g06290 across different tissues, developmental stages, and environmental conditions using qRT-PCR and Western blotting with At5g06290 Antibody. Then conduct RNA-seq experiments under conditions where At5g06290 protein levels show significant changes. Compare transcriptome data with protein expression patterns to identify potential regulatory relationships. Following approaches similar to those used for R-gene studies in A. thaliana, examine how At5g06290 expression correlates with specific environmental variables or stresses . For functional insights, consider creating knockout or overexpression lines of At5g06290 and analyzing their transcriptome profiles and phenotypes under different conditions. Network analysis using tools like weighted gene co-expression network analysis (WGCNA) can help identify gene modules that correlate with At5g06290 expression, providing insights into its functional context in plant adaptation.
When validating a new batch of At5g06290 Antibody, include several critical controls. First, perform side-by-side comparisons with the previous antibody batch using the same protein samples and identical experimental conditions. Include positive controls (samples known to express At5g06290) and negative controls (samples where At5g06290 is absent or knockout mutants). According to IWGAV recommendations, antibody validation should be performed for each new batch . Compare results across multiple applications if the antibody will be used for different techniques (Western blot, immunoprecipitation, immunofluorescence). Verify specificity using at least one of the five validation pillars discussed earlier . For Western blotting, confirm that the observed band corresponds to the expected molecular weight of At5g06290 protein. Consider testing cross-reactivity with closely related proteins or homologs. Finally, if possible, validate results using an independent antibody against the same target or using orthogonal methods that don't rely on antibodies.
False results when using At5g06290 Antibody can stem from multiple sources. False positives often result from non-specific antibody binding, insufficient blocking, or cross-reactivity with similar epitopes in other proteins. Address these by implementing more stringent validation using the five pillars approach recommended by IWGAV , optimizing blocking conditions, and increasing wash stringency. False negatives typically occur due to inadequate protein extraction, epitope masking, or degraded antibody. Ensure proper protein extraction using methods tailored for plant tissues, such as those used in the telomere-associated protein studies . Consider different extraction buffers that may better preserve protein structure. If the epitope might be masked by protein folding or interactions, try different denaturing conditions or epitope retrieval methods. Always store antibodies according to manufacturer recommendations to prevent degradation. When troubleshooting, systematically change one variable at a time and include appropriate positive controls to ensure the experimental system is functioning properly.
Optimizing immunofluorescence for At5g06290 detection in plant tissues requires careful consideration of fixation, permeabilization, and antibody incubation conditions. Start with tissue fixation using 4% paraformaldehyde in PBS or a plant-specific fixative for 1-2 hours, followed by gentle washing. Plant tissues often require stronger permeabilization than animal cells due to the cell wall; consider using a combination of detergents (0.1-0.5% Triton X-100) and cell wall-degrading enzymes like cellulase and macerozyme. Blocking should be performed with 3-5% BSA or normal serum from the same species as the secondary antibody. For primary antibody incubation, start with a 1:100 to 1:500 dilution of At5g06290 Antibody and incubate overnight at 4°C. Optimize signal-to-noise ratio by testing different antibody dilutions and incubation times. Include controls such as samples without primary antibody and, if available, tissues from At5g06290 knockout plants. Consider antigen retrieval methods if initial results show weak signal. Finally, use confocal microscopy to accurately localize the protein within cellular compartments, and include counterstains for nuclei (DAPI) and cell walls (calcofluor white or propidium iodide) for proper interpretation of localization patterns.
Determining optimal antibody concentration requires systematic titration experiments for each application. For Western blotting, prepare a dilution series of At5g06290 Antibody (e.g., 1:500, 1:1000, 1:2000, 1:5000) while keeping all other variables constant. Evaluate signal strength and background for each dilution to identify the concentration that provides the best signal-to-noise ratio. For immunoprecipitation, test different amounts of antibody (e.g., 1, 2, 5, 10 μg) per fixed amount of protein lysate to determine the minimum antibody concentration that efficiently pulls down the target protein. For immunofluorescence, prepare a similar dilution series (typically starting at higher concentrations like 1:50 or 1:100) and evaluate signal specificity and intensity. For each application, document the outcomes systematically, including images of blots or micrographs at different antibody concentrations. Consider the economic aspect as well; the goal is to find the lowest antibody concentration that still provides reliable, reproducible results. Once optimal conditions are established, validate them across different experimental samples and batches of antibody to ensure reproducibility.