Anti-inflammatory Activity: BAT1 suppresses pro-inflammatory cytokines (TNF-α, IL-6, IL-1) by modulating mRNA stability and translation .
Cancer Progression:
Mouse Xenografts: BAT1 knockdown tumors showed elevated TNF-α/IL-6 expression compared to controls .
Leukemia Models: BAT monoclonal antibody reduced peripheral blood tumor cells by 95% in BCL1 leukemia models .
| Condition | BAT1 Role | Therapeutic Potential |
|---|---|---|
| Prostate Cancer | Promotes metastasis via cytokine-driven invasion | Target for anti-metastatic therapies |
| Inflammatory Diseases | Polymorphisms linked to ↑ TNF-α/IL-6 in Chagas cardiomyopathy, malaria | Biomarker for inflammatory response modulation |
| Viral Infections | Modulates antibody diversity in bats; protein restriction enhances neutralization | Insights into zoonotic spillover mechanisms |
Commercial BAT1 antibodies are widely used in research:
BAT1, now commonly referred to as DDX39, is a member of the DEAD (Asp-Glu-Ala-Asp) box family of RNA helicases. This protein is encoded by the DDX39 gene and plays critical roles in RNA metabolism, particularly in pre-mRNA processing and nuclear export mechanisms. The nomenclature transition from BAT1 to DDX39 reflects the systematic classification of DEAD-box proteins, with DDX39 specifically indicating its position as the 39th member of this protein family .
The protein contains distinct functional domains, including the characteristic DEAD-box motif that provides ATPase activity necessary for its helicase function. Understanding this protein is essential for researchers investigating RNA processing, nuclear-cytoplasmic transport, and related cellular mechanisms. The C-terminal region (particularly amino acids 351-380) represents a significant epitope region for antibody generation and recognition .
When selecting a BAT1/DDX39 antibody for research applications, several critical specifications warrant careful consideration. First, epitope specificity is paramount—antibodies targeting different regions (N-terminal, C-terminal, or central domains) may yield considerably different experimental outcomes. For instance, the polyclonal antibody targeting amino acids 351-380 in the C-terminal region provides specific recognition of human BAT1 .
Host species represents another crucial consideration, with rabbit-derived polyclonal antibodies demonstrating broad applicability across multiple techniques. The clonality profile (polyclonal versus monoclonal) significantly impacts experimental versatility—polyclonal preparations offer amplified signal detection while potentially introducing greater background, whereas monoclonal variants provide enhanced specificity at the potential cost of reduced signal intensity .
Cross-reactivity profiles should be thoroughly evaluated, particularly when working with non-human models. While primarily validated against human samples, many BAT1 antibodies demonstrate predicted reactivity with mouse, rat, and other mammalian species, although species-specific validation remains advisable before conducting extensive experiments .
Proper storage and handling protocols significantly impact BAT1 antibody performance and longevity. These biomolecules require precise temperature maintenance to preserve structural integrity and antigen recognition capacity. For long-term storage, antibodies should be maintained at -20°C, ideally in small aliquots to minimize freeze-thaw cycles which progressively degrade protein structure and function .
Working solutions typically remain stable at 4°C for approximately 1-2 weeks, though this varies based on specific formulation and preservative inclusion. Addition of carrier proteins (commonly BSA) at 1-5 mg/mL can enhance stability of diluted antibody preparations. When handling these reagents, researchers should implement sterile technique during aliquoting procedures to prevent microbial contamination, and should avoid vortexing which can denature antibody structure—gentle inversion represents the preferred mixing method .
Documentation of freeze-thaw cycles for each aliquot helps track potential degradation patterns when troubleshooting experimental inconsistencies. Many commercially available BAT1 antibodies undergo purification through protein A columns followed by peptide affinity purification, resulting in highly specific immunoglobulin fractions that remain particularly susceptible to improper handling conditions .
For Western blotting applications with BAT1/DDX39 antibodies, optimization of several parameters is essential for successful protein detection. Sample preparation should begin with efficient extraction using RIPA or NP-40 based lysis buffers supplemented with protease inhibitors, particularly when analyzing nuclear proteins like BAT1. Given the protein's molecular weight (~49 kDa), standard 10-12% polyacrylamide gels typically provide optimal resolution .
For transfer conditions, PVDF membranes often yield superior results compared to nitrocellulose when working with BAT1 antibodies. Blocking should be performed with 5% non-fat dry milk in TBST for 1-2 hours at room temperature to minimize background signal. For primary antibody incubation, dilutions between 1:500 to 1:2000 in blocking buffer are typically effective, though this range should be empirically determined for each specific BAT1 antibody preparation .
Detection systems utilizing HRP-conjugated secondary antibodies with enhanced chemiluminescence provide sensitive visualization of BAT1 protein. When troubleshooting weak signals, extended primary antibody incubation at 4°C overnight often improves detection without increasing background. For particularly challenging samples, addition of 0.1% SDS to antibody dilution buffer may improve epitope accessibility, especially for the C-terminal region (AA 351-380) recognized by certain BAT1 antibodies .
Immunohistochemistry using BAT1/DDX39 antibodies on paraffin-embedded sections requires meticulous attention to antigen retrieval procedures to ensure optimal epitope accessibility. Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) for 15-20 minutes represents a critical step, with the specific buffer selection determined empirically based on tissue type and fixation conditions .
For detection of BAT1 in paraffin-embedded sections, comprehensive blocking protocols significantly enhance signal specificity. This typically involves sequential blocking with hydrogen peroxide (3% for 10 minutes) to neutralize endogenous peroxidases, followed by protein blocking with 5-10% normal serum from the secondary antibody host species. BAT1 antibody incubation should proceed at 4°C overnight at dilutions between 1:100 to 1:500, with specific optimization necessary for each tissue type .
Signal amplification systems such as avidin-biotin complex (ABC) or polymer-based detection methods provide enhanced sensitivity for visualizing BAT1 expression patterns. Counterstaining with hematoxylin enables contextual cellular localization assessment, particularly important when evaluating the predominantly nuclear distribution pattern characteristic of BAT1/DDX39. When interpreting results, researchers should implement appropriate controls, including primary antibody omission and isotype controls, to validate staining specificity .
Flow cytometry applications with BAT1/DDX39 antibodies present unique challenges due to the predominantly intracellular localization of this nuclear protein. Effective permeabilization protocols are essential, with methanol-based methods frequently yielding superior results compared to detergent-based approaches for nuclear antigens like BAT1. Fixation with 4% paraformaldehyde followed by permeabilization with 90% ice-cold methanol often provides optimal epitope preservation and accessibility .
When developing staining protocols, antibody titration experiments should establish optimal concentration ranges, typically starting with dilutions between 1:50 to 1:200 for BAT1 antibodies. Extended incubation periods (45-60 minutes) at room temperature in the dark enhance staining consistency. For multiparameter analysis incorporating BAT1 detection, careful fluorochrome selection becomes critical to minimize spectral overlap, particularly when analyzing cells with variable autofluorescence profiles .
Data interpretation requires thoughtful control implementation, including fluorescence-minus-one (FMO) controls to establish accurate gating strategies. When quantifying BAT1 expression across different cell populations, standardized metrics such as median fluorescence intensity (MFI) provide more reliable comparisons than percentage positive calculations. For particularly challenging cell types or when signal intensity remains suboptimal, signal amplification systems utilizing biotin-streptavidin interactions may substantially improve detection sensitivity .
Validation strategies for BAT1/DDX39 antibodies must be tailored to specific experimental applications to ensure reliable data interpretation. For Western blotting validation, molecular weight verification (~49 kDa for BAT1) provides preliminary specificity confirmation, but definitive validation requires additional approaches. These include parallel analysis of knockout/knockdown samples, competition assays with immunizing peptides (particularly the synthetic peptide spanning amino acids 351-380 from the C-terminal region), and cross-validation with alternative antibodies targeting distinct epitopes .
For immunohistochemical applications, validation complexity increases substantially due to tissue-specific expression patterns and potential cross-reactivity concerns. Here, orthogonal validation becomes essential—comparing IHC results with in situ hybridization data for BAT1 mRNA provides powerful correlation evidence. Additionally, peptide blocking controls using the specific immunizing peptide (351-380 aa region for C-terminal antibodies) should demonstrate complete signal ablation if antibody binding is specific .
Flow cytometry validation presents unique challenges related to the intracellular nature of BAT1. Beyond standard isotype controls, validation should incorporate siRNA-mediated knockdown in relevant cell types to confirm signal specificity. Parallel analysis using indirect and direct detection methods provides additional confirmation, while correlation with mRNA expression levels across different cell populations offers functional validation. Cell fractionation experiments comparing nuclear versus cytoplasmic expression patterns further validate proper subcellular localization detection .
Cross-species reactivity represents a critical consideration when employing BAT1/DDX39 antibodies across diverse experimental models. While many commercially available BAT1 antibodies demonstrate predicted reactivity with multiple species including mouse, rat, dog, and other mammals, actual performance varies significantly based on epitope conservation . The C-terminal region targeted by some antibodies (amino acids 351-380) shows substantial but incomplete sequence homology across mammalian species, necessitating empirical validation before conducting extensive cross-species experiments.
When transitioning from human to rodent models, researchers should verify cross-reactivity through controlled experiments comparing human and target species samples in parallel. This approach helps identify potential differences in antibody affinity, optimal working dilutions, or background patterns that may require protocol adjustments. For ambiguous results, validation through knockout/knockdown experiments in the target species provides definitive confirmation of specificity .
For particularly challenging species applications, epitope mapping analysis comparing the immunizing peptide sequence with the corresponding region in the target species can predict potential recognition problems. Sequence alignment tools can identify amino acid substitutions within the epitope region that might impact antibody binding. When substantial epitope divergence exists, species-specific antibody development may become necessary for reliable experimental outcomes .
The selection between polyclonal and monoclonal BAT1/DDX39 antibodies significantly impacts experimental outcomes across various applications. Polyclonal antibodies, such as the rabbit-derived preparations targeting the C-terminal region (AA 351-380), recognize multiple epitopes within the target region, providing enhanced signal amplification particularly beneficial for detecting low-abundance BAT1 expression. This multi-epitope recognition also confers resilience against conformational changes induced by sample processing, making polyclonal antibodies often preferable for applications like immunohistochemistry on fixed tissues .
Conversely, monoclonal antibodies (such as the mouse monoclonal 2C5) offer exquisite specificity for a single epitope, substantially reducing cross-reactivity concerns. This specificity proves particularly valuable when distinguishing between closely related DEAD-box proteins or when analyzing post-translational modifications. The consistent epitope recognition of monoclonal antibodies also enhances experimental reproducibility across different antibody lots, an important consideration for longitudinal studies .
Application-specific performance differences further complicate selection decisions. In Western blotting applications, polyclonal antibodies typically generate stronger signals but potentially higher background, while monoclonals provide cleaner backgrounds but potentially reduced sensitivity. For flow cytometry, monoclonal antibodies often demonstrate superior specificity for intracellular BAT1 detection, whereas in immunoprecipitation experiments, the multiple binding sites of polyclonal antibodies frequently yield improved target protein recovery efficiency .
When confronting weak or absent signals in Western blotting with BAT1/DDX39 antibodies, systematic troubleshooting should address multiple experimental parameters. Protein extraction efficiency represents a primary consideration—BAT1's nuclear localization necessitates extraction protocols optimized for nuclear proteins, typically requiring stronger lysis conditions than cytoplasmic proteins. RIPA buffer supplemented with DNase I treatment often improves nuclear protein release .
Suboptimal transfer efficiency frequently contributes to signal problems, particularly for proteins in BAT1's molecular weight range (~49 kDa). Increasing methanol concentration to 20% in transfer buffer can enhance transfer of mid-sized proteins, while extending transfer time or implementing semi-dry transfer systems may improve protein migration to the membrane. Post-transfer membrane staining with Ponceau S helps verify successful protein transfer before proceeding with immunodetection .
Antibody-specific optimizations include increasing primary antibody concentration (potentially using 1:200 to 1:500 dilutions for challenging samples), extending incubation time to overnight at 4°C, and implementing signal enhancement systems such as biotin-streptavidin amplification. For the C-terminal region-specific antibodies (AA 351-380), mild denaturing conditions in the antibody incubation buffer (0.1% SDS) can improve epitope accessibility. Additionally, switching from ECL to more sensitive chemiluminescent substrates or transitioning to fluorescence-based detection systems may significantly improve detection sensitivity for low-abundance BAT1 expression .
Optimizing signal-to-noise ratio in immunohistochemistry with BAT1/DDX39 antibodies requires systematic refinement of multiple protocol elements. Background reduction begins with comprehensive blocking strategies—sequential application of avidin/biotin blocking for endogenous biotin, hydrogen peroxide treatment for endogenous peroxidases, and protein blocking with 5-10% serum matching the secondary antibody species significantly minimizes non-specific binding .
Antibody dilution optimization represents a critical balance between signal intensity and background reduction. For BAT1 antibodies, particularly those targeting the C-terminal region (AA 351-380), serial dilution testing beginning at 1:100 and extending to 1:1000 determines the optimal concentration providing maximum specific signal while minimizing background. Including 0.1-0.3% Triton X-100 in antibody diluent often enhances nuclear penetration for BAT1 detection while simultaneously reducing membrane-associated background .
Washing protocol modifications substantially impact background profiles—extending wash durations (minimum 3×10 minutes) with gentle agitation and incorporating graduated salt concentrations (beginning with high salt PBS followed by standard PBS) effectively removes loosely bound antibodies. Detection system selection also influences signal-to-noise ratio, with polymer-based detection methods typically generating cleaner backgrounds than traditional ABC systems for nuclear antigens like BAT1. Finally, counterstain optimization—reducing hematoxylin incubation time and implementing thorough blueing—improves visualization of specific nuclear BAT1 staining against the counterstained background .
Non-specific binding represents a persistent challenge when working with BAT1/DDX39 antibodies across multiple applications. For Western blotting applications, membrane blocking optimization provides the foundation for reducing non-specific interactions. While 5% non-fat dry milk in TBST represents the standard blocking agent, transitioning to 3-5% BSA may significantly reduce background for problematic samples. Additionally, incorporating 0.05% Tween-20 in wash buffers and including 0.05-0.1% Tween-20 in antibody dilution buffers helps disrupt hydrophobic non-specific interactions .
For immunohistochemical applications, tissue-specific non-specific binding patterns require tailored approaches. When working with tissues containing high endogenous biotin levels (liver, kidney), implementing avidin-biotin blocking steps becomes essential before applying BAT1 antibodies. For tissues with high endogenous immunoglobulin content, pre-adsorption with species-specific Fab fragments significantly reduces non-specific binding to endogenous immunoglobulins. Additionally, including 10-20% normal serum from the host species of the tissue being analyzed in the antibody diluent substantially reduces species-cross-reactivity .
In flow cytometry applications, non-specific binding frequently manifests as increased background in permeabilized samples. Implementing sequential blocking with 10% normal serum followed by 1% BSA before antibody application significantly improves signal specificity. For particularly challenging cell types, Fc receptor blocking reagents should be incorporated into staining protocols. Additionally, transitioning from indirect to direct detection methods (utilizing conjugated primary antibodies rather than secondary detection) often substantially reduces background in flow cytometry applications with BAT1 antibodies targeting the C-terminal region (AA 351-380) .
BAT1/DDX39 antibodies are increasingly employed in mechanistic studies investigating RNA processing and nuclear export pathways. Chromatin immunoprecipitation sequencing (ChIP-seq) applications utilizing BAT1 antibodies have revealed associations between this DEAD-box protein and specific pre-mRNA transcript regions, providing insights into its substrate specificity and potential regulatory mechanisms. For these applications, antibodies targeting the C-terminal region (AA 351-380) demonstrate particularly effective immunoprecipitation capacity when optimized with specialized cross-linking protocols .
Advanced co-immunoprecipitation studies employing BAT1 antibodies have illuminated protein-protein interaction networks involving multiple components of the transcription and export (TREX) complex. These approaches typically require careful optimization of extraction conditions to preserve native protein complexes, often utilizing lower detergent concentrations than standard immunoprecipitation protocols. The resulting data reveal how BAT1/DDX39 functionally integrates with other RNA processing factors to coordinate efficient mRNA export .
Emerging super-resolution microscopy techniques combined with BAT1 antibody immunofluorescence are providing unprecedented insights into the spatial organization of nuclear export machinery. These approaches reveal dynamic BAT1 localization patterns at nuclear pore complexes during active mRNA export. For such applications, highly specific antibody preparations are essential, with monoclonal antibodies often preferred despite potentially lower signal intensity compared to polyclonal preparations targeting the C-terminal region (AA 351-380) .
BAT1/DDX39 antibodies are finding expanded applications in cancer research, where altered expression of this RNA helicase has been implicated in multiple malignancies. Multiplex immunohistochemistry platforms incorporating BAT1 antibodies alongside cancer biomarkers enable spatial analysis of expression patterns within heterogeneous tumor microenvironments. For these applications, careful titration of antibody concentrations is essential to achieve balanced staining intensity across multiple markers .
In neurodegenerative disease research, BAT1 antibodies are being utilized to investigate RNA processing dysregulation potentially contributing to pathogenesis. Proximity ligation assays combining BAT1 antibodies with those targeting disease-associated RNA-binding proteins enable visualization of aberrant protein-protein interactions with single-molecule resolution. These techniques require exquisite specificity, making antibodies with validated performance in multiple applications particularly valuable .
Translational research applications increasingly employ BAT1 antibodies in tissue microarray analysis to evaluate expression correlations with disease progression and patient outcomes. These high-throughput approaches demand antibodies with exceptional batch-to-batch consistency and validated specificity across diverse tissue types. Both polyclonal preparations targeting specific epitopes (such as the C-terminal region AA 351-380) and characterized monoclonal antibodies find application in these studies, with selection depending on the specific requirements for sensitivity versus specificity in the experimental context .
Antibody engineering technologies are substantially advancing BAT1/DDX39 antibody performance characteristics. Recombinant antibody production methods now enable generation of precisely defined BAT1-targeting antibodies with reduced batch-to-batch variability compared to traditional animal immunization approaches. These technologies allow exact reproduction of antibody sequences recognizing specific BAT1 epitopes, including the frequently targeted C-terminal region (AA 351-380) .
Mass spectrometry-based validation methods provide unprecedented characterization of antibody specificity through proteomics approaches. Immunoprecipitation followed by liquid chromatography-tandem mass spectrometry (IP-LC-MS/MS) enables comprehensive identification of proteins captured by BAT1 antibodies, definitively establishing specificity profiles across various experimental conditions. This approach particularly benefits polyclonal antibody characterization, where epitope recognition patterns can vary between production batches .
Computational epitope prediction algorithms combined with experimental validation are streamlining development of next-generation BAT1 antibodies with enhanced specificity and reduced cross-reactivity. These approaches identify optimal epitope regions based on surface accessibility, evolutionary conservation, and minimal sequence similarity with related DEAD-box proteins. For BAT1/DDX39, these methods are identifying novel epitope regions beyond the commonly targeted C-terminal domain (AA 351-380) that may offer improved performance characteristics for specific applications. The resulting antibodies demonstrate enhanced specificity profiles while maintaining high-affinity binding capacities across multiple experimental platforms .