AVT1C Antibody

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Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M Phosphate-Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
AVT1C antibody; At2g39130 antibody; T16B24.23 antibody; T7F6.1 antibody; Amino acid transporter AVT1C antibody; AtAvt1C antibody
Target Names
AVT1C
Uniprot No.

Target Background

Database Links

KEGG: ath:AT2G39130

STRING: 3702.AT2G39130.1

UniGene: At.13254

Protein Families
Amino acid/polyamine transporter 2 family, Amino acid/auxin permease (AAAP) (TC 2.A.18.5) subfamily
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

How do I select the most appropriate AVT1C antibody for my specific research application?

When selecting an AVT1C antibody for your research, prioritize antibodies that have been specifically validated for your intended application (western blotting, immunoprecipitation, immunofluorescence, etc.) and target species. Contact vendors directly to inquire about validation data if it isn't readily available on their website, as some antibodies may have been tested but results aren't published online. Examine published literature to identify researchers who have successfully used AVT1C antibodies in applications similar to yours, noting their validation methods and experimental conditions. Consider the clonality of the antibody—monoclonal antibodies offer high specificity for a single epitope, while polyclonal antibodies may provide stronger signals by recognizing multiple epitopes but potentially with decreased specificity. Finally, evaluate the antibody's formulation to ensure compatibility with your experimental system, particularly checking for additives that might interfere with certain applications .

What validation experiments should I perform before using a new AVT1C antibody in my research?

Every new AVT1C antibody requires rigorous validation through multiple complementary approaches to ensure specificity, sensitivity, and reproducibility. Begin by testing the antibody on positive and negative controls—ideally using samples where AVT1C is naturally expressed at different levels or cell lines where AVT1C has been knocked out via CRISPR or knocked down using RNAi. For western blotting applications, perform concentration gradient tests to determine optimal antibody dilution, always including appropriate loading controls and molecular weight markers. For immunostaining applications, test the antibody on known positive and negative tissues, and consider peptide competition assays where pre-incubation with the immunizing peptide should abolish specific staining. Cross-reactivity assessment is crucial, especially when working with evolutionarily conserved proteins like AVT1C, by testing the antibody against related proteins. Finally, evaluate the antibody's performance across different lots to assess manufacturing consistency, and document all validation experiments thoroughly for publication and laboratory records .

How can I distinguish between specific and non-specific binding of my AVT1C antibody?

Distinguishing specific from non-specific binding requires implementing multiple validation controls in your experimental design. First, include knockout or knockdown samples as the gold standard negative controls, as any signal in these samples indicates non-specific binding. If these aren't available, use tissue or cell types known not to express AVT1C as alternative negative controls. Perform peptide competition assays where pre-incubation of the antibody with excess immunizing peptide should dramatically reduce or eliminate specific binding while leaving non-specific interactions unaffected. For western blotting, specific binding should produce bands at the predicted molecular weight of AVT1C, while additional bands likely represent non-specific binding or cross-reactivity. Consider testing multiple antibodies targeting different epitopes of AVT1C—concordant results strengthen confidence in specificity. Finally, titrate your antibody across a range of concentrations; specific signals typically demonstrate a dose-dependent relationship, while non-specific background may appear more constant or unpredictable across dilutions .

How should I optimize antibody concentration for different applications?

Optimizing antibody concentration requires systematic titration experiments balanced against signal-to-noise ratio considerations for each specific application. For western blotting, prepare a dilution series (typically ranging from 1:500 to 1:5000) of the AVT1C antibody and test against samples containing varying amounts of the target protein, selecting the concentration that provides the clearest specific band with minimal background. For immunohistochemistry or immunofluorescence, begin with the manufacturer's recommended dilution and test 2-3 dilutions above and below this concentration on known positive tissues, evaluating both signal intensity and background staining in negative control regions. In ELISA applications, standard curves with purified recombinant AVT1C protein can help determine both the antibody's detection limit and optimal working concentration. Remember that different antibody lots may require re-optimization as manufacturing variations can affect performance. Document your optimization process meticulously, noting not only the final optimal concentration but also the specific conditions (buffer composition, incubation time, temperature) under which it was determined .

What controls are essential when using AVT1C antibody in different experimental applications?

Essential controls for AVT1C antibody experiments vary by application but should always include both positive and negative controls to validate specificity and performance. For western blotting, include a positive control sample with confirmed AVT1C expression, a negative control sample without AVT1C, a loading control (typically a housekeeping protein), and a molecular weight marker to confirm band size corresponds to AVT1C's expected molecular weight. For immunohistochemistry, include positive control tissues known to express AVT1C, negative control tissues lacking AVT1C expression, a technical negative control where primary antibody is omitted, and possibly an isotype control antibody to identify non-specific binding. For pull-down or immunoprecipitation experiments, include input controls, IgG controls, and beads-only controls to distinguish true interactions from experimental artifacts. When quantifying results, include standard curves for absolute quantification or carefully selected normalization controls for relative quantification. Finally, for critical experiments, consider using multiple antibodies targeting different epitopes of AVT1C to confirm observations are not antibody-specific artifacts .

What are common reasons for false positive or false negative results when using AVT1C antibody?

False positive and false negative results with AVT1C antibody can stem from multiple sources that require systematic troubleshooting. False positives commonly arise from cross-reactivity with structurally similar proteins, especially in tissues with low AVT1C but high homolog expression, excessive antibody concentration leading to non-specific binding, inappropriate blocking solutions that fail to prevent hydrophobic interactions, or contamination of secondary antibodies. Conversely, false negatives may result from epitope masking due to protein folding or post-translational modifications, inadequate sample preparation that destroys epitopes during fixation or extraction, insufficient antibody concentration, inappropriate buffer conditions that affect antibody binding kinetics, or degradation of the antibody through improper storage or handling. Protocol timing issues can contribute to both false positives and negatives—too-brief incubations may yield weak signals while excessive incubations can increase background. Finally, assay-specific factors such as inadequate antigen retrieval in immunohistochemistry or improper transfer conditions in western blotting can significantly impact results reliability .

How can I improve signal-to-noise ratio when working with AVT1C antibody?

Improving signal-to-noise ratio requires optimization of multiple experimental parameters to enhance specific binding while minimizing background interference. Start by optimizing blocking conditions—test different blocking agents (BSA, milk, serum) at various concentrations to identify the combination that most effectively reduces non-specific binding without compromising specific signal. Carefully titrate both primary and secondary antibody concentrations to find the minimal effective concentration that maintains specific signal while reducing background. Consider extending washing steps in duration and number, and ensure wash buffers contain appropriate detergent concentrations to remove weakly bound antibodies without disrupting specific interactions. For fluorescent applications, include an autofluorescence quenching step and use mounting media with antifade properties to enhance signal stability. In colorimetric detection methods, optimize substrate incubation time to develop specific signal before background becomes problematic. Sample-specific treatments can also help—for tissues with high endogenous peroxidase activity, include a peroxidase quenching step before antibody application. Finally, consider signal amplification systems such as biotinylated secondary antibodies with streptavidin-conjugated reporters for applications where target protein abundance is low .

What strategies can address inconsistent results between different lots of AVT1C antibody?

Addressing lot-to-lot variability requires both preventative measures and thorough validation protocols to ensure experimental continuity. First, whenever possible, purchase sufficient quantities of a single lot for planned experiments, especially for long-term projects requiring consistent antibody performance. Implement a standardized validation protocol for each new antibody lot that includes side-by-side comparison with the previous lot on identical samples, testing across the full range of intended applications. Document key performance metrics including optimal working concentration, signal intensity, background levels, and specific-to-nonspecific signal ratio as quantitative benchmarks for comparison. Consider preparing a "standard sample set" representing various expression levels of AVT1C that can be archived and used to validate each new lot. When planning critical experiments, incorporate internal reference standards that can normalize for antibody performance variations. If significant differences are observed between lots, contact the vendor to report the issue and request technical support or replacement. Finally, maintain detailed records of lot numbers used for each experiment to facilitate troubleshooting and ensure appropriate comparisons when analyzing historical data .

How can I use AVT1C antibody for co-immunoprecipitation to study protein-protein interactions?

Using AVT1C antibody for co-immunoprecipitation (Co-IP) requires careful optimization to preserve protein-protein interactions while achieving specific immunoprecipitation. Begin by selecting an AVT1C antibody that has been validated for immunoprecipitation applications, ideally with a sepharose or agarose conjugation that minimizes non-specific binding to beads. Optimize your lysis conditions to effectively solubilize AVT1C while maintaining native protein interactions—typically using non-denaturing detergents like NP-40 or Triton X-100 at concentrations that balance protein extraction with complex preservation. Pre-clear your lysates with protein A/G beads to remove proteins that bind non-specifically to beads before adding your specific antibody. Determine optimal antibody-to-lysate ratios through titration experiments, as excess antibody can increase non-specific binding while insufficient antibody reduces pull-down efficiency. Include appropriate controls with each experiment: input samples (pre-immunoprecipitation lysate), IgG controls (non-specific antibody of the same isotype), and bead-only controls to identify proteins that bind non-specifically. For washing steps, optimize stringency to remove non-specific interactions while preserving true binding partners, potentially using a series of washes with decreasing salt concentrations. Finally, confirm results through reciprocal Co-IP experiments where antibodies against suspected interacting partners are used to pull down AVT1C .

What considerations are important when using AVT1C antibody for quantitative analysis?

Quantitative analysis using AVT1C antibody requires rigorous attention to experimental design, controls, and analytical methods to ensure accurate and reproducible results. First, establish a standard curve using purified recombinant AVT1C protein to determine the antibody's linear dynamic range, beyond which signal saturation occurs and quantification becomes unreliable. Ensure all experimental samples fall within this validated linear range by performing appropriate dilutions as needed. For western blot quantification, use total protein normalization methods rather than single housekeeping proteins when possible, as the latter can vary across experimental conditions. When analyzing multiple samples across different blots or immunostaining runs, include identical reference samples on each to facilitate inter-experimental normalization. For image-based quantification, establish standardized acquisition parameters (exposure time, gain settings) and maintain them across all comparative samples. Process all samples intended for direct comparison simultaneously to minimize batch effects that could confound quantitative differences. Implement appropriate statistical analyses that account for both technical and biological variability, using sufficient replicates to power your analysis appropriately. Finally, report quantitative results with appropriate measures of central tendency and dispersion, clearly stating normalization methods and statistical tests applied .

How can I adapt AVT1C antibody protocols for specialized techniques like super-resolution microscopy?

Adapting AVT1C antibody protocols for super-resolution microscopy techniques requires specific modifications to optimize signal quality, specificity, and spatial precision. First, select secondary antibodies conjugated with fluorophores specifically designed for super-resolution microscopy (such as Alexa Fluor 647 for STORM or fluorescent proteins for PALM), considering their photophysical properties including brightness, photostability, and switching characteristics. Minimize fixation-induced sample distortion by optimizing fixation protocols—generally preferring paraformaldehyde at lower concentrations (2-3%) for shorter durations to preserve native protein distribution while maintaining cellular structure. Reduce background fluorescence by implementing extensive blocking steps and using specialized mounting media formulated to minimize autofluorescence and optimize fluorophore performance in super-resolution conditions. Consider signal amplification strategies such as using primary antibodies directly conjugated with bright fluorophores or employing smaller detection probes like nanobodies or Fab fragments to reduce the distance between fluorophore and target, thereby improving spatial resolution beyond what conventional IgG antibodies can achieve. Implement rigorous controls including secondary-only controls and ideally knockout samples to distinguish true signal from artifacts, which become particularly crucial at super-resolution levels where even minor non-specific binding becomes apparent. Finally, establish optimal imaging parameters including laser power, integration time, and buffer conditions that balance photobleaching with sufficient photon yield for precise localization .

What are the best practices for storing and handling AVT1C antibody to maintain its performance?

Proper storage and handling of AVT1C antibody is critical for maintaining its binding specificity and sensitivity over time. Store antibodies according to manufacturer recommendations, typically at -20°C for long-term storage or at 4°C for antibodies in frequent use (generally stable for up to one month). Avoid repeated freeze-thaw cycles by aliquoting stock antibody solutions into single-use volumes upon receipt, as each freeze-thaw cycle can reduce antibody activity by up to 20% through protein denaturation and aggregation. When preparing working dilutions, use high-quality, sterile buffers ideally containing preservatives such as sodium azide (0.02-0.05%) to prevent microbial contamination, but be aware that sodium azide can interfere with HRP-based detection systems and should be avoided in such applications. Handle antibodies using low-protein binding tubes and pipette tips to minimize adsorption-based losses. Before each use, centrifuge antibody vials briefly to collect solution at the bottom and mix gently by inversion rather than vortexing to avoid protein denaturation. Monitor antibody performance over time by periodically testing against a standardized positive control, documenting signal intensity and specificity to detect any degradation. Finally, maintain detailed records of purchase date, lot number, storage conditions, and frequency of use to facilitate troubleshooting if performance issues arise .

How should I optimize antigen retrieval methods when using AVT1C antibody for immunohistochemistry?

Optimizing antigen retrieval for AVT1C antibody in immunohistochemistry requires systematic evaluation of different methods to maximize epitope accessibility without damaging tissue morphology. Begin by testing both heat-induced epitope retrieval (HIER) and enzymatic retrieval methods, as the optimal approach depends on how fixation has affected the specific epitope recognized by your AVT1C antibody. For HIER, evaluate different buffer systems including citrate buffer (pH 6.0), EDTA buffer (pH 8.0-9.0), and Tris-EDTA (pH 9.0), as epitope exposure can be highly pH-dependent. Systematically test different heating conditions, including temperature (90-125°C), duration (10-30 minutes), and heating method (microwave, pressure cooker, water bath), keeping in mind that higher temperatures typically provide more effective retrieval but may damage tissue morphology. For enzymatic retrieval, test proteases like proteinase K or trypsin at different concentrations and incubation times, recognizing that while enzymatic methods can be gentler on tissues, they may destroy some epitopes through excessive digestion. Consider combining methods sequentially (enzyme followed by HIER) for particularly challenging samples. Once you've identified promising methods, fine-tune the protocol by adjusting parameters incrementally while monitoring both signal intensity and tissue morphology preservation. Create a standardized protocol documentation that specifies exact buffer composition, pH, temperature, duration, and equipment settings to ensure reproducibility across experiments .

What protocol modifications are necessary when working with phospho-specific AVT1C antibodies?

Working with phospho-specific AVT1C antibodies requires specialized protocols to preserve phosphorylation states and prevent epitope masking throughout sample preparation and processing. Begin sample collection and processing with phosphatase inhibitors (such as sodium fluoride, sodium orthovanadate, and β-glycerophosphate) in all buffers to prevent dephosphorylation by endogenous phosphatases that remain active even after cell lysis. For tissue samples, ensure rapid fixation following collection to minimize post-mortem dephosphorylation, ideally using phosphatase-inhibitor perfusion prior to dissection when possible. Modify western blotting protocols to include phosphatase inhibitors in lysis buffers and maintain samples at cold temperatures throughout processing to minimize enzymatic dephosphorylation. For immunohistochemistry applications, optimize antigen retrieval carefully, as phospho-epitopes are particularly sensitive to retrieval conditions—excessive heat can destroy phosphorylation while insufficient retrieval may prevent antibody access. Include both phosphorylated and dephosphorylated controls in your experiments: samples treated with phosphatase inhibitors versus phosphatase enzymes to confirm antibody specificity for the phosphorylated state. Consider using blocking reagents specifically designed for phospho-immunodetection, which may include additional ingredients to minimize background from endogenous phospho-proteins. Finally, when interpreting results, remember that phosphorylation is often transient and can be affected by numerous experimental variables including cell culture conditions, serum starvation, and stress responses during sample handling .

How should I interpret conflicting results between different detection methods using AVT1C antibody?

Interpreting conflicting results between detection methods requires systematic analysis of each method's strengths, limitations, and the specific conditions under which the AVT1C antibody was employed. Begin by evaluating whether the epitope recognized by your antibody remains intact and accessible in each detection method—certain epitopes may be denatured in western blotting but preserved in immunohistochemistry, or masked by fixation in immunofluorescence but accessible in flow cytometry. Consider the sensitivity thresholds of each method; for example, western blotting with chemiluminescent detection typically offers higher sensitivity than colorimetric immunohistochemistry, potentially explaining detection in one method but not another. Examine the specificity controls implemented in each method, as apparent conflicts may reflect different levels of non-specific binding rather than true differences in AVT1C presence. Evaluate whether post-translational modifications or protein interactions specific to certain cellular compartments might affect antibody binding differentially across methods. When possible, resolve conflicts by employing orthogonal detection approaches that don't rely on antibody binding, such as mass spectrometry or monitoring mRNA expression via RT-PCR. Finally, consult literature for similar conflict patterns with related antibodies, as certain protein families display consistent method-specific detection challenges that may inform your interpretation .

What information about AVT1C antibody validation should I include when publishing my research?

When publishing research using AVT1C antibody, include comprehensive validation information that enables readers to evaluate your results and other researchers to reproduce your work. Provide complete antibody identification details including vendor name, catalog number, clone designation for monoclonal antibodies, lot number, and RRID (Research Resource Identifier) to enable unambiguous identification. Describe all validation experiments performed, including specificity assessments through positive and negative controls, knockdown/knockout validation if available, and peptide competition assays if performed. Include optimization data showing the antibody's performance across relevant concentration ranges and the rationale for selecting your working concentration. Detail the exact experimental conditions: buffer compositions, incubation times and temperatures, washing procedures, and detection systems employed. Present representative images of both positive and negative controls alongside experimental samples, including full blot images for western blot applications rather than cropped bands. If quantitative analyses were performed, specify normalization methods, statistical approaches, and software used for image acquisition and analysis. Finally, acknowledge any limitations identified during validation, such as cross-reactivity with related proteins or performance inconsistencies under certain conditions, providing readers with a complete understanding of result reliability .

How can I accurately quantify and report AVT1C levels across different experimental conditions?

Accurate quantification and reporting of AVT1C levels requires rigorous methodological standardization and appropriate statistical analysis across experimental conditions. First, establish standard curves using purified recombinant AVT1C protein to determine the assay's linear dynamic range, ensuring all experimental measurements fall within this validated range. Implement technical replicates (minimum triplicate) to assess method reproducibility and biological replicates (typically 3-5 independent experiments) to account for natural variation. When comparing AVT1C levels across conditions, process all samples simultaneously using identical protocols, reagents, and detection parameters to minimize batch effects that could be misinterpreted as biological differences. For western blot quantification, use total protein normalization when possible rather than single housekeeping proteins, which may vary across experimental conditions. In image-based quantification, maintain consistent acquisition settings (exposure time, gain, offset) across all samples, and implement blinded analysis to prevent unconscious bias. Apply appropriate statistical tests based on your experimental design and data distribution, reporting not only p-values but also effect sizes and confidence intervals to convey biological significance. Present your data with appropriate visualizations that display both the central tendency and dispersion of measurements, such as the example table below showing hypothetical AVT1C quantification across treatment conditions .

Treatment ConditionMean AVT1C Level (ng/mL)Standard DeviationFold Change vs Controlp-value
Control42.35.71.0-
Treatment A78.69.21.860.003
Treatment B15.93.10.380.001
Treatment C44.16.31.040.692

How does AVT1C antibody performance compare between different sample types (cell lines, tissues, body fluids)?

AVT1C antibody performance can vary significantly across sample types due to differences in protein abundance, matrix complexity, and sample preparation requirements. In cell lines, AVT1C antibody typically demonstrates optimal performance due to high target homogeneity, controlled expression levels, and simplified matrix effects, though performance may vary based on species origin and expression systems. Tissue samples present greater challenges due to complex cellular heterogeneity, where AVT1C may be expressed in specific cell subpopulations at varying levels, requiring optimization of fixation and retrieval methods to maintain epitope accessibility while preserving tissue architecture. Body fluids such as serum, plasma, or cerebrospinal fluid represent the most challenging sample types, where AVT1C concentration is typically lower and matrix effects from abundant proteins like albumin and immunoglobulins can significantly impact antibody binding specificity. Sample-specific optimization is essential—for cell lines, focus on lysis conditions that effectively solubilize AVT1C; for tissues, optimize fixation and antigen retrieval; for body fluids, consider immunodepletion of high-abundance proteins or concentration steps to improve detection sensitivity. Performance metrics including limit of detection, dynamic range, and signal-to-noise ratio should be established independently for each sample type rather than assuming transferability of protocols between matrices .

What considerations are important when adapting AVT1C antibody protocols for high-throughput screening applications?

Adapting AVT1C antibody protocols for high-throughput screening demands optimization of robustness, reproducibility, and efficiency without sacrificing specificity or sensitivity. Begin by conducting extensive antibody validation in the specific high-throughput format you'll employ (microplates, automated imaging systems, etc.), ensuring consistent performance across the entire plate or batch to avoid position-dependent artifacts. Optimize protocols to minimize handling steps and reagent consumption through techniques like miniaturization (reduced volumes) and automation of liquid handling, while carefully validating that these modifications don't compromise assay performance. Implement rigorous quality control measures including internal standards on every plate, edge control samples to detect evaporation effects, and periodic replicate samples to assess reproducibility throughout large screening campaigns. Develop clear quantitative acceptance criteria for assay performance including Z'-factor (ideally >0.5), signal-to-background ratio, and coefficient of variation thresholds to ensure data quality. Consider the stability of reagents over the screening timeframe, potentially preparing larger antibody batches with demonstrated lot-to-lot consistency to eliminate variability during extended screening campaigns. Finally, develop automated data analysis pipelines that incorporate appropriate normalization methods, outlier detection algorithms, and visualization tools that can rapidly process the large datasets generated while flagging potential technical artifacts for human review .

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