CD39 (ENTPD1) is a cell surface ectoenzyme that hydrolyzes extracellular ATP to AMP, playing critical roles in immune regulation and vascular homeostasis. CD39 antibodies are monoclonal or polyclonal reagents used to study this protein's expression and function in research and clinical contexts .
Key features:
Target: ENTPD1 (UniProt ID: P49961 in humans, Q921Q6 in mice)
Structure: Tetraspanin glycoprotein with two transmembrane domains
Expression: Activated T/B cells, regulatory T cells (Tregs), dendritic cells, endothelial cells
CD39 antibodies enable investigation of its enzymatic and immunomodulatory roles:
CD39 works synergistically with CD73 to generate adenosine, creating an immunosuppressive microenvironment .
Lupus-prone Nba2 mice exhibit increased CD39+ IgG+ extracellular vesicles (EVs) binding nuclear antigens .
Serum EVs from SLE patients co-express CD39 and autoantibodies .
CD39+ EVs from influenza-specific B cells neutralize viral infectivity in vivo (70% survival improvement in mice) .
Model | CD39 Expression | Therapeutic Outcome |
---|---|---|
PDX lung cancer (LG1049) | High (H-score 170) | 100% tumor regression at 3 mg/kg |
Hepatocellular carcinoma (LI0752) | Low | Minimal growth inhibition |
Clone | Host | Applications | Vendor |
---|---|---|---|
eBioA1 | Mouse | Flow cytometry | Thermo Fisher |
TU66 | Mouse | Flow cytometry, IHC | BD Biosciences |
AF4398 | Sheep | IHC, WB | R&D Systems |
Flow cytometry: Distinct CD39+ populations in human PBMCs (25-45% of Foxp3+ Tregs)
Western blot: 70-100 kDa bands in activated lymphocyte lysates
CD39 antibodies are being evaluated for:
Autoimmune disease diagnostics: Quantifying pathogenic EVs in lupus
Checkpoint inhibitor therapies: Targeting the CD39-CD73-adenosine axis
Biomarker development: Correlating CD39+ Treg levels with cancer prognosis
ABCG39 Antibody is a polyclonal antibody raised against recombinant Oryza sativa subsp. japonica (rice) ABCG39 protein . The target protein, ABCG39, is encoded by the Q8GU88 gene (Uniprot identifier) and belongs to the ATP-binding cassette (ABC) transporter G family in rice . These transporters play crucial roles in various biological processes including detoxification, plant development, and response to environmental stresses. In experimental contexts, this antibody serves as a valuable tool for detecting and studying the ABCG39 protein in rice research.
The ABCG39 Antibody is highly specific for Oryza sativa subsp. japonica (rice) applications, as it was raised against recombinant rice ABCG39 protein and purified using antigen affinity methods . This specificity is critical for researchers focusing on rice biology, as it ensures reliable detection of the target protein with minimal cross-reactivity. When designing experiments using this antibody, researchers should consider that it has been specifically tested and validated for rice samples, which optimizes its performance in this particular species context but may limit cross-species applications.
The ABCG39 Antibody has been validated for two primary applications:
Enzyme-Linked Immunosorbent Assay (ELISA): Enables quantitative detection of ABCG39 protein in solution-based samples and can be used for determining protein expression levels in different rice tissues or under various experimental conditions .
Western Blotting (WB): Allows for size-based separation and detection of ABCG39 protein in complex samples, providing information about protein molecular weight, expression levels, and potential post-translational modifications .
Researchers should note that optimization may be required for each specific experimental setup, including determining appropriate antibody dilutions, blocking conditions, and detection methods.
When validating ABCG39 Antibody specificity in rice samples, a multi-step approach is recommended:
Positive and negative controls: Include known positive samples (e.g., rice tissue with confirmed ABCG39 expression) and negative controls (e.g., tissue from ABCG39 knockdown/knockout plants if available).
Blocking peptide competition: Pre-incubate the antibody with excess purified ABCG39 protein before application to samples. If the antibody is specific, this should eliminate or significantly reduce the signal.
Molecular weight verification: The detected band in Western blot should match the predicted molecular weight of ABCG39 protein.
Cross-reactivity assessment: Test the antibody against samples from different rice varieties and related species to evaluate potential cross-reactivity.
For optimal performance and longevity of the ABCG39 Antibody, adhere to the following storage and handling guidelines:
Avoid repeated freeze-thaw cycles: Aliquot the antibody upon first thaw to minimize degradation .
Working solution: The antibody is provided in liquid form containing 50% glycerol, 0.01M PBS (pH 7.4) with 0.03% Proclin 300 as preservative .
Temperature management: When working with the antibody, keep it on ice or at 4°C to maintain stability.
Contamination prevention: Use sterile technique when handling to prevent microbial contamination.
Proper storage and handling are essential for maintaining antibody functionality, as improper conditions can lead to denaturation, aggregation, or proteolytic degradation that compromise experimental results.
To optimize Western blot protocols for ABCG39 Antibody detection, consider these methodological refinements:
Sample preparation: Extract proteins using buffers containing protease inhibitors to prevent ABCG39 degradation. For membrane proteins like ABC transporters, include appropriate detergents (e.g., Triton X-100 or NP-40) in your lysis buffer.
Blocking optimization: Test different blocking agents (BSA, non-fat milk, commercial blockers) to determine which minimizes background while preserving specific signal.
Antibody dilution: Begin with manufacturer-recommended dilutions (typically 1:1000 to 1:2000) and adjust based on signal intensity and background levels.
Incubation conditions: Optimize primary antibody incubation time and temperature (4°C overnight versus room temperature for 1-2 hours).
Detection system selection: Choose between chemiluminescence, fluorescence, or colorimetric detection based on required sensitivity and available equipment.
Signal enhancement techniques: Consider using signal amplification methods such as tyramide signal amplification if the target protein is expressed at low levels.
This optimization approach follows standard immunological practices for maximizing specific detection while minimizing non-specific background, similar to methods described for other antibody-based detection systems .
When employing ABCG39 Antibody for phylogenetic studies across rice varieties, cross-reactivity considerations become critical. The antibody was raised against Oryza sativa subsp. japonica ABCG39 protein , which may exhibit sequence variations compared to other rice subspecies or wild relatives. This has important implications:
Epitope conservation analysis: Perform in silico analysis of ABCG39 protein sequence conservation across rice varieties to predict potential cross-reactivity.
Validation across varieties: Empirically test the antibody against protein extracts from multiple rice varieties and quantify relative detection efficiency.
Sequence variation impact: Amino acid substitutions in the epitope region may alter antibody binding affinity, resulting in differential signal intensities that could be misinterpreted as expression level differences.
Complementary approaches: Combine antibody-based detection with nucleic acid-based methods (qPCR, RNA-seq) to distinguish between true expression differences and detection variations due to epitope changes.
This approach parallels the careful validation processes described for other antibody systems where cross-reactivity can complicate interpretation of experimental results .
To comprehensively investigate ABCG39 transporter function in rice, integrate multiple complementary techniques:
Co-immunoprecipitation (Co-IP): Use ABCG39 Antibody to pull down protein complexes and identify interaction partners through mass spectrometry, revealing potential functional associations.
Immunohistochemistry/Immunofluorescence: Determine the subcellular localization of ABCG39 protein to provide insights into its potential transport substrates and cellular functions.
Transport assays: Combine antibody detection of ABCG39 with radiolabeled or fluorescently labeled substrate transport assays to correlate protein expression with transport activity.
Genetic manipulation: Compare wild-type, overexpression, and knockout/knockdown lines using the antibody to correlate ABCG39 protein levels with phenotypic changes.
Stress response studies: Monitor ABCG39 protein levels under various stresses (drought, salinity, pathogens) using the antibody to infer functional roles in stress adaptation.
This multi-technique approach enables researchers to build a comprehensive understanding of ABCG39 function beyond mere expression analysis, similar to integrated approaches used in characterizing other membrane transporters .
When encountering non-specific binding in immunoprecipitation experiments with ABCG39 Antibody, implement these advanced troubleshooting strategies:
Pre-clearing samples: Incubate lysates with beads alone before adding the antibody to remove proteins that bind non-specifically to the bead matrix.
Stringency optimization: Systematically test different salt concentrations (150-500 mM NaCl) and detergent types/concentrations in wash buffers to reduce non-specific interactions while maintaining specific binding.
Blocking agents: Include competing proteins (BSA, gelatin) or non-ionic detergents in binding and washing buffers to reduce non-specific hydrophobic interactions.
Cross-linking optimization: If using chemical cross-linking, optimize cross-linker concentration and reaction time to maximize specific interactions while minimizing random associations.
Denaturing elution: Compare native versus denaturing elution conditions to distinguish between specifically bound proteins and contaminants.
Controls: Include isotype-matched control antibodies and lysates from tissues without ABCG39 expression to identify and subtract background binding patterns.
These approaches address the common challenges encountered in co-immunoprecipitation experiments, where distinguishing specific from non-specific interactions remains a persistent challenge in protein interaction studies .
When encountering unexpected band patterns in Western blots with ABCG39 Antibody, conduct this systematic analysis:
Observed Pattern | Potential Explanation | Verification Approach |
---|---|---|
Higher molecular weight than expected | Post-translational modifications (glycosylation, ubiquitination) | Treat samples with deglycosylating enzymes or phosphatases |
Lower molecular weight than expected | Protein degradation or proteolytic processing | Enhance protease inhibition during extraction; compare fresh vs. stored samples |
Multiple bands | Alternative splice variants or non-specific binding | Perform RNA analysis to confirm splice variants; conduct peptide competition |
Smeared bands | Protein aggregation or excessive sample loading | Optimize sample preparation; reduce protein concentration |
No band detected | Low expression, epitope masking, or protocol issues | Check positive control; optimize extraction method; troubleshoot protocol steps |
This analytical approach helps distinguish genuine biological phenomena from technical artifacts, a critical distinction when interpreting immunoblot results in research contexts .
When conducting ELISA assays with ABCG39 Antibody, researchers should consider these potential sources of variability:
Sample preparation variability: Inconsistent extraction efficiency, protein degradation during storage, or matrix effects from different tissue types can affect results.
Antibody lot-to-lot variation: Different production batches may exhibit slightly different affinities or specificities, necessitating calibration between lots.
Temperature effects: Fluctuations in ambient temperature during incubation steps can alter reaction kinetics and binding equilibria.
Incubation time precision: Small variations in incubation periods, particularly during substrate development, can significantly impact signal intensity.
Plate position effects: Edge wells may experience different evaporation rates or temperature conditions than central wells.
Reagent aging: Detection substrates and antibody solutions may lose activity over time, even when stored according to recommendations.
To minimize these variables, implement standardized workflows, include multiple controls, perform technical replicates, and consider using automated liquid handling systems for critical steps. This approach aligns with best practices in immunoassay development described in the literature .
Differentiating true negative results from technical failures requires a methodical validation approach:
Positive control incorporation: Always include a sample known to express ABCG39 (e.g., specific rice tissue with confirmed expression) to verify that the detection system is functional.
System validation controls: Include steps to verify each component of the detection system (e.g., secondary antibody binding to primary antibody, substrate reactivity).
Sensitivity assessment: Determine the detection limit of your assay using purified recombinant ABCG39 protein at various concentrations.
Alternative detection methods: Confirm negative results using orthogonal approaches (e.g., qPCR for mRNA expression, mass spectrometry for protein detection).
Protocol compliance verification: Document each step meticulously to ensure that no critical procedures were omitted or performed incorrectly.
Sample quality verification: Assess the integrity of your protein samples using general protein stains or detection of housekeeping proteins.
This systematic approach provides confidence in distinguishing biological absence from technical failure, a distinction critical for accurate scientific reporting and interpretation .
ABCG39 Antibody presents valuable opportunities for investigating rice stress tolerance mechanisms through several innovative research approaches:
Stress-responsive expression profiling: Monitor ABCG39 protein levels across various abiotic stresses (drought, salinity, heavy metals, temperature extremes) to identify conditions where this transporter may play significant roles.
Subcellular redistribution analysis: Track potential stress-induced changes in ABCG39 subcellular localization, which might indicate functional adaptation to stress conditions.
Post-translational modification mapping: Use the antibody in combination with phospho-specific techniques to determine if stress triggers regulatory modifications of ABCG39.
Protein-protein interaction networks: Employ co-immunoprecipitation with ABCG39 Antibody to identify stress-specific interaction partners that might regulate transporter function.
Comparative cultivar studies: Compare ABCG39 expression and regulation between stress-tolerant and stress-sensitive rice varieties to identify correlations with tolerance phenotypes.
These approaches can provide mechanistic insights into how ABCG39 might contribute to stress adaptation in rice, potentially identifying targets for breeding programs aimed at improving crop resilience in changing climate conditions .
Adapting ABCG39 Antibody for high-throughput screening requires careful optimization of several parameters:
Miniaturization effects: When transitioning to microplate formats, surface-to-volume ratios change, potentially affecting antibody binding kinetics and requiring dilution optimization.
Automation compatibility: Ensure that antibody performance remains consistent when using automated liquid handling systems, which may introduce different mixing dynamics or timing variations.
Batch processing considerations: Develop protocols that minimize edge effects and drift across plates processed in sequence through careful temperature control and standardized incubation times.
Signal stability: Optimize detection methods to provide adequate signal windows that remain stable during the time required to process multiple plates.
Data normalization strategies: Implement position-specific controls and robust statistical methods to account for plate-to-plate variations.
Quality control metrics: Establish clear acceptance criteria for positive and negative controls, signal-to-background ratios, and replicate consistency to ensure data reliability.
By addressing these factors systematically, researchers can develop robust high-throughput assays using ABCG39 Antibody while maintaining the specificity and sensitivity required for meaningful biological screening outcomes .