Antibodies are Y-shaped glycoproteins consisting of two heavy chains and two light chains, with a Fab region for antigen binding and an Fc region for effector interactions . Their roles include neutralization, agglutination, complement activation, and immunomodulation. The Fc region, particularly in IgG subclasses, determines antibody half-life and effector functions like antibody-dependent cellular cytotoxicity (ADCC) .
Modern antibody engineering enhances sensitivity and specificity. For example, engineered rabbit monoclonal antibodies targeting Parkin and OCT4 demonstrated a two-fold improvement in western blot detection compared to wild-type antibodies . Engineered Fc domains (e.g., IgG2a/IgG1 isotypes) optimize immune modulation, such as Treg cell depletion and effector T-cell activation .
The Proteintech antibody 11281-1-AP targets EIF4G3, a translation initiation factor. Its specifications include:
| Parameter | Value |
|---|---|
| Host/Isotype | Rabbit IgG |
| Reactivity | Human |
| Applications | WB, IHC, IF, IP, ELISA |
| Molecular Weight | 70 kDa, 250 kDa (observed) |
| Immunogen | EIF4G3 fusion protein |
| Storage | -20°C with sodium azide |
This antibody is validated for detecting EIF4G3 in human samples, with applications in cancer and translation biology .
No direct information on EIF4B3 Antibody exists in the provided sources. The gene EIF4B encodes a translation initiation factor, but its antibody products are not mentioned in the search results. Researchers may need to consult additional databases (e.g., UniProt, PubMed) or manufacturers for specific details.
eIF4A3 functions as an ATP-dependent RNA helicase that plays crucial roles in several fundamental cellular processes. It serves as a core component of the splicing-dependent multiprotein exon junction complex (EJC) deposited at splice junctions on mRNAs . The EJC marks the position of exon-exon junctions in mature mRNA for the gene expression machinery, with its core components remaining bound to spliced mRNAs throughout all stages of mRNA metabolism. This influences downstream processes including nuclear mRNA export, subcellular mRNA localization, translation efficiency, and nonsense-mediated mRNA decay (NMD) . Additionally, eIF4A3 is involved in pre-mRNA splicing as a component of the spliceosome and participates in the splicing modulation of genes such as BCL2L1/Bcl-X, specifically inhibiting formation of proapoptotic isoforms . The significance of eIF4A3 in these essential cellular functions makes it a valuable target for antibody-based research approaches in molecular biology.
When selecting an eIF4A3 antibody, thorough evaluation of validation data is essential for experimental success. Begin by examining specificity assessments through Western blot analysis, which should show a distinct band at the expected molecular weight for eIF4A3 (approximately 47 kDa) with minimal non-specific bands . Review immunocytochemistry/immunofluorescence (ICC/IF) validation data to confirm appropriate subcellular localization patterns consistent with eIF4A3's known distribution in nuclear speckles and association with splicing machinery . High-quality validation data should include positive and negative controls, such as comparisons with knockdown or knockout samples to demonstrate specificity . Additionally, evaluate peer-reviewed publication citations where the antibody has been successfully employed in applications similar to your planned experiments. User reviews and feedback can provide valuable insights into the antibody's performance across different experimental conditions and cell types . This comprehensive validation review minimizes the risk of experimental artifacts from low-affinity or cross-reactive antibodies that might compromise staining or produce false positive results.
eIF4A3 antibodies are employed across various research applications due to the protein's central role in RNA processing. Immunoprecipitation (IP) is frequently utilized to isolate eIF4A3 and its associated protein complexes, enabling the characterization of EJC composition and dynamics . Western blotting (WB) provides quantitative analysis of eIF4A3 expression levels across different tissues, cell types, or experimental conditions . Immunocytochemistry and immunofluorescence (ICC/IF) applications visualize the subcellular localization of eIF4A3, particularly its association with nuclear splicing compartments and cytoplasmic mRNA . Researchers also employ eIF4A3 antibodies in RNA immunoprecipitation (RIP) assays to identify RNA transcripts associated with eIF4A3-containing complexes, illuminating its role in post-transcriptional regulation. Additionally, chromatin immunoprecipitation (ChIP) experiments may use these antibodies to investigate potential associations between eIF4A3 and transcriptionally active genomic regions. The versatility of these applications makes eIF4A3 antibodies valuable tools for investigating RNA processing, splicing mechanisms, and post-transcriptional regulation pathways.
Optimizing fixation protocols for eIF4A3 immunocytochemistry requires careful consideration of preservation methods to maintain both antigen accessibility and cellular architecture. Begin with paraformaldehyde (PFA) fixation at 4% for 15-20 minutes at room temperature, as this preserves subcellular structures while maintaining eIF4A3 epitope integrity . For enhanced nuclear detail, consider a dual fixation approach using 4% PFA followed by a brief (5-minute) methanol treatment at -20°C, which improves nuclear envelope permeabilization. The timing of fixation is critical—extended fixation can cause excessive cross-linking that masks eIF4A3 epitopes, particularly in nuclear regions where it concentrates. When optimizing, systematically evaluate multiple fixatives (PFA, methanol, acetone, or combinations) with varying incubation times while maintaining identical antibody concentrations. Post-fixation blocking is particularly important for eIF4A3 detection—use 5% normal serum from the same species as your secondary antibody, supplemented with 0.3% Triton X-100 for permeabilization . This reduces non-specific binding while ensuring access to nuclear eIF4A3. For challenging samples, antigen retrieval methods such as sodium citrate buffer (pH 6.0) heat treatment may improve signal quality. Document all optimization parameters, including fixation times, temperatures, and buffer compositions, to ensure reproducibility across experiments and different cell types.
When encountering weak or non-specific eIF4A3 antibody signals, implement a systematic troubleshooting approach targeting each experimental variable. For weak signals, first optimize antibody concentration through titration experiments (typically 1:100 to 1:1000 dilutions for commercial antibodies) . Extend primary antibody incubation times to overnight at 4°C to enhance antigen binding while minimizing background. Consider implementing signal amplification methods such as tyramide signal amplification (TSA) or using higher-sensitivity detection systems. For non-specific background, increase blocking stringency by extending blocking times (2+ hours) and using a combination of 5% serum and 1-2% BSA in PBS with 0.1-0.3% detergent . Perform additional washing steps (5-6 washes of 10 minutes each) with PBS containing 0.1% Tween-20 to remove unbound antibodies. If nuclear background persists, include 100-200 mM NaCl in wash buffers to disrupt low-affinity interactions. For cross-reactivity issues, pre-adsorb the antibody with cell lysates from organisms not expressing the target protein. Evaluate multiple antibody clones targeting different eIF4A3 epitopes to identify optimal specificity . Consider using siRNA knockdown controls alongside your experiments to definitively distinguish between specific and non-specific signals. Systematic documentation of each optimization step creates a reliable troubleshooting framework for future experiments.
Implementing rigorous controls is essential for validating eIF4A3 antibody experiments. Primary negative controls should include: (1) omission of primary antibody while maintaining all other reagents to detect non-specific secondary antibody binding; (2) isotype controls using non-specific IgG from the same species as the eIF4A3 antibody at equivalent concentrations to identify Fc receptor-mediated binding; and (3) pre-immune serum controls for polyclonal antibodies . For positive controls, include cell lines with documented eIF4A3 expression (such as HeLa cells) that show the characteristic nuclear speckle pattern associated with splicing machinery localization . Genetic modification controls provide the gold standard for antibody validation—implement siRNA or shRNA knockdown of eIF4A3 to demonstrate signal reduction proportional to protein depletion levels. If available, use eIF4A3-overexpressing cells as a complementary positive control. For co-localization studies, include antibodies against known EJC components like MAGOH, RBM8A, or splicing markers like SC35 to confirm physiologically relevant localization patterns . In Western blot applications, recombinant eIF4A3 protein can serve as a positive control, while lysates from cells where eIF4A3 has been genetically depleted provide negative controls. Document and report all control experiments to establish the specificity and reliability of your findings.
Using eIF4A3 antibodies to study EJC dynamics requires sophisticated experimental approaches that capture both spatial and temporal aspects of complex assembly and function. Co-immunoprecipitation (Co-IP) with eIF4A3 antibodies can isolate intact EJCs, allowing identification of core components (MAGOH, RBM8A, CASC3) and transient interactors through mass spectrometry analysis . This approach can be enhanced by RNase treatment to distinguish RNA-dependent versus direct protein-protein interactions within the complex. For examining EJC assembly kinetics, pulse-chase experiments combined with sequential immunoprecipitation using eIF4A3 antibodies can track newly synthesized complexes. Advanced microscopy techniques such as Fluorescence Recovery After Photobleaching (FRAP) with fluorescently tagged eIF4A3 antibody fragments can measure EJC turnover rates at specific cellular locations . Proximity ligation assays (PLA) using eIF4A3 antibodies in combination with antibodies against other EJC components provide single-molecule resolution of complex formation in situ. To map dynamic changes in EJC composition across different cellular conditions, Quantitative Immunoprecipitation Combined with Knockdown (QUICK) approaches can be implemented using eIF4A3 antibodies before and after depletion of specific factors. RNA-protein interaction analysis through Cross-Linking Immunoprecipitation (CLIP) with eIF4A3 antibodies enables genome-wide mapping of EJC binding sites with nucleotide resolution . These methodologies collectively provide a comprehensive view of EJC assembly, composition, and functional dynamics in various cellular contexts.
Detecting post-translational modifications (PTMs) of eIF4A3 requires specialized antibody-based approaches that distinguish modified from unmodified protein forms. Phosphorylation-specific antibodies targeting known or predicted eIF4A3 phosphorylation sites can be employed in Western blotting to quantify modification levels under different cellular conditions . When combined with phosphatase treatment controls, these antibodies provide definitive evidence of phosphorylation status. For ubiquitination analysis, perform denaturing immunoprecipitation with eIF4A3 antibodies followed by ubiquitin-specific antibody detection, or use tandem ubiquitin binding entities (TUBEs) coupled with eIF4A3 immunoblotting. For comprehensive PTM profiling, implement sequential immunoprecipitation using general eIF4A3 antibodies followed by enrichment with PTM-specific antibodies, and analyze by mass spectrometry. Proximity ligation assays (PLA) using pairs of antibodies against eIF4A3 and specific PTMs provide in situ visualization of modified protein populations with subcellular resolution. For temporal dynamics of PTMs, pulse-chase experiments with metabolic labeling (such as SILAC) combined with eIF4A3 immunoprecipitation and mass spectrometry can track modification kinetics. Developing targeted mass spectrometry assays using immunoaffinity enrichment with eIF4A3 antibodies enables absolute quantification of specific modified peptides. For novel PTM discovery, immunoprecipitate eIF4A3 under native conditions that preserve modifications, followed by proteomic analysis focusing on mass shifts corresponding to known PTM signatures. These approaches collectively provide a comprehensive toolkit for characterizing the dynamic PTM landscape of eIF4A3.
Designing experiments to analyze eIF4A3's role in splicing regulation requires multifaceted approaches that integrate antibody-based techniques with RNA analytics. Begin with RNA immunoprecipitation (RIP) using optimized eIF4A3 antibodies to capture associated pre-mRNAs and splicing intermediates, followed by RT-PCR or RNA-seq to identify bound transcripts . For higher resolution, implement Cross-Linking Immunoprecipitation (CLIP) or enhanced CLIP (eCLIP) with eIF4A3 antibodies to map binding sites with nucleotide precision across the transcriptome. To examine dynamic interactions during splicing, design pulse-chase experiments with nascent RNA labeling (e.g., 5-EU incorporation) followed by eIF4A3 immunoprecipitation at defined time points after transcription initiation. For mechanistic insights, couple eIF4A3 depletion (siRNA/shRNA) with rescue experiments using wild-type or mutant eIF4A3 variants, then analyze splicing patterns by RT-PCR or RNA-seq while confirming protein expression with the antibodies . To investigate context-dependent splicing regulation, implement co-immunoprecipitation of eIF4A3 with other splicing factors across different cellular conditions, followed by RNA-seq of the associated transcripts. For direct functional assessment, design in vitro splicing assays using nuclear extracts immunodepleted of eIF4A3 and supplement with recombinant protein to restore activity. Complement these approaches with immunofluorescence microscopy using eIF4A3 antibodies to track its recruitment to nascent transcription sites marked by phosphorylated RNA Polymerase II or specific pre-mRNA probes. These integrated methodologies provide comprehensive insights into both global and transcript-specific roles of eIF4A3 in splicing regulation.
| Application | Monoclonal Antibodies | Polyclonal Antibodies |
|---|---|---|
| Western Blot | Clean single bands with high specificity | Higher sensitivity but potentially more background bands |
| ICC/IF | Precise subcellular localization with minimal background | Stronger signal but potentially higher background |
| ChIP | Lower efficiency but highly specific peaks | Higher pull-down efficiency but lower specificity |
| IP/Co-IP | Consistent lot-to-lot performance, ideal for reproducible interaction studies | Better for capturing native complexes but variable lot-to-lot |
| Flow Cytometry | Optimal for quantitative single-cell analysis | Less suitable due to potential cross-reactivity |
| IHC | May require specific clone selection for FFPE compatibility | Generally better for detection in fixed tissues |
Selection should prioritize antibodies validated for your specific application, with considerations for signal-to-background requirements and the complexity of your experimental system .
Optimizing immunoprecipitation of eIF4A3-containing complexes requires specialized approaches that preserve physiological interactions while maximizing recovery. Begin with buffer optimization—use buffers containing 150mM NaCl, 0.1% NP-40 or Triton X-100, and 20mM HEPES pH 7.4 to maintain complex integrity . Since eIF4A3 functions in ATP-dependent complexes, adding 0.5-1mM ATP to lysis and wash buffers can stabilize certain interaction states. Pre-clearing lysates with protein A/G beads for 1 hour at 4°C reduces non-specific binding. When selecting antibodies, prioritize those raised against epitopes outside the RNA-binding domains and ATPase regions of eIF4A3 to avoid interference with complex formation . Cross-linking antibodies to beads using dimethyl pimelimidate (DMP) prevents antibody co-elution and contamination of mass spectrometry samples. For RNA-dependent complexes, implement parallel immunoprecipitations with and without RNase treatment to distinguish direct protein-protein interactions from RNA-mediated associations. To capture transient or weak interactions, implement chemical cross-linking with formaldehyde (0.1-0.3%) prior to cell lysis, followed by immunoprecipitation under more stringent conditions. For comprehensive complex isolation, sequential immunoprecipitation using antibodies against eIF4A3 followed by other EJC components can enrich for specific subcomplexes. When analyzing results, always include isotype control antibodies processed identically to establish specificity thresholds. For quantitative analysis, implement SILAC or TMT labeling approaches combined with immunoprecipitation to accurately measure changes in complex composition across different conditions. These optimized protocols maximize both specificity and yield of eIF4A3-containing complexes.
| Experimental Context | Recommended Host Species | Rationale |
|---|---|---|
| Single-label detection in human/rodent tissues | Rabbit | Highest sensitivity due to phylogenetic distance |
| Co-staining with rabbit primary antibodies | Mouse or Goat | Avoids species cross-reactivity with secondary antibodies |
| Flow cytometry | Mouse | Better characterized isotype controls available |
| Studies in mouse tissues | Goat or Chicken | Minimizes endogenous immunoglobulin detection |
| Multi-protein co-localization | Strategically selected combination | Plan according to available secondary antibodies |
| Quantitative Western blotting | Rabbit | Typically highest affinity and lowest background |
When designing complex multi-labeling experiments, create a comprehensive table of all primary antibodies, their host species, and compatible fluorochrome-conjugated secondary antibodies to avoid spectral overlap and species cross-reactivity . This strategic planning ensures successful visualization of eIF4A3 in relation to other proteins of interest across various experimental applications.
eIF4A3 antibodies provide powerful tools for investigating this protein's emerging roles in cancer biology through multiple experimental approaches. In tumor tissue microarrays, immunohistochemistry with validated eIF4A3 antibodies enables quantitative analysis of expression levels across different cancer types, stages, and in comparison to matched normal tissues . These studies can correlate expression patterns with patient outcome data to establish prognostic value. At the cellular level, immunofluorescence with eIF4A3 antibodies can reveal altered subcellular localization in cancer cells, particularly changes in nuclear-cytoplasmic distribution that may indicate dysregulated RNA processing. For mechanistic investigations, co-immunoprecipitation with eIF4A3 antibodies followed by mass spectrometry can identify cancer-specific interaction partners that may contribute to altered splicing patterns or translational control. RNA immunoprecipitation (RIP) or CLIP-seq using eIF4A3 antibodies can map differential binding to cancer-relevant transcripts, revealing how eIF4A3 may selectively regulate oncogenes or tumor suppressors through altered RNA processing . In functional studies, combine eIF4A3 knockdown/overexpression with antibody-based detection methods to monitor effects on cancer cell phenotypes such as proliferation, invasion, and therapy resistance. For translational applications, develop sandwich ELISA assays using paired eIF4A3 antibodies to quantify protein levels in patient serum or circulating tumor cells as potential biomarkers. Proximity ligation assays (PLA) with antibodies against eIF4A3 and cancer-associated splicing factors can visualize aberrant complexes specific to malignant cells. These diverse approaches collectively illuminate eIF4A3's contributions to cancer pathogenesis and identify potential therapeutic vulnerabilities.
Using eIF4A3 antibodies in primary tissues requires rigorous controls and validations to ensure specificity and accurate interpretation of results. Begin with comprehensive antibody validation using positive control tissues with known eIF4A3 expression patterns and negative controls where the protein is absent or significantly reduced . For human tissues, include matched normal tissues adjacent to pathological samples, processed identically to establish baseline expression patterns. Implement peptide competition assays where the immunizing peptide is pre-incubated with the antibody before tissue application to confirm binding specificity. For immunohistochemistry applications, include isotype control antibodies at equivalent concentrations to detect non-specific binding due to Fc receptor interactions or tissue-specific factors. Validate subcellular localization patterns through dual immunofluorescence with established markers of nuclear speckles (such as SC35) where eIF4A3 should show substantial co-localization . For quantitative analysis, establish internal reference standards by including control tissues on the same slide or implementing whole-slide scanning with calibrated intensity settings. When evaluating special tissue types (such as highly fibrotic or necrotic regions), include additional controls to rule out non-specific antibody trapping. Antibody dilution series should be performed for each new tissue type to determine optimal signal-to-background ratios. For reproducibility assessment, process serial sections with the same protocol to verify staining pattern consistency. When interpreting results, always correlate antibody staining patterns with mRNA expression data from the same or similar tissues when available. These comprehensive validation steps establish reliable foundations for studying eIF4A3 biology in complex primary tissue environments.
eIF4A3 antibodies provide essential tools for validating target engagement in drug development pipelines focused on modulating RNA processing pathways. In cellular target engagement assays, Cellular Thermal Shift Assays (CETSA) combined with eIF4A3 antibody detection can demonstrate direct binding of compounds to eIF4A3 by measuring thermostability shifts upon compound binding . For in situ visualization of target engagement, implement Drug Affinity Responsive Target Stability (DARTS) assays where cells or tissues are treated with compounds before protease digestion and eIF4A3 antibody detection to assess protection from proteolysis. Proximity-based assays such as fluorescence resonance energy transfer (FRET) between fluorophore-labeled eIF4A3 antibody fragments and tagged compounds provide real-time monitoring of compound-target interactions in living cells. Biochemical validation can employ Surface Plasmon Resonance (SPR) or biolayer interferometry with immobilized recombinant eIF4A3, followed by antibody-based detection to confirm that compounds do not disrupt critical antibody epitopes. For functional target engagement, immunoprecipitate eIF4A3 from compound-treated cells and measure its ATPase or helicase activity to correlate compound binding with functional modulation . In phenotypic assays, monitor eIF4A3-dependent splicing events using minigene reporters while validating eIF4A3 expression levels with antibodies to correlate compound effects with target levels. For in vivo target engagement, perform immunohistochemistry with eIF4A3 antibodies on tissues from compound-treated animals to assess downstream changes in complex formation or localization. These diverse antibody-based approaches establish a robust target engagement validation cascade from biochemical binding to functional cellular outcomes in eIF4A3-directed drug development programs.
eIF4A3 antibodies are poised to make significant contributions to single-cell analysis of RNA processing dynamics through integration with emerging technologies. Adapting Proximity Ligation Assays (PLA) with eIF4A3 antibodies for single-cell applications can visualize dynamic interactions with other EJC components at individual transcript processing sites, providing spatial resolution of splicing events within single cells . Combining single-cell sorting with eIF4A3 immunoprecipitation followed by RNA-seq (scRIP-seq) could reveal cell-specific RNA targets and processing patterns, particularly in heterogeneous tissues with distinct cell populations. New proximity labeling approaches such as TurboID or APEX2 fused to eIF4A3-specific nanobodies derived from conventional antibodies will enable cell-type-specific mapping of the protein's interactome in complex tissues. For capturing transient interactions, implementing time-resolved immunofluorescence with high-affinity eIF4A3 antibody fragments in live cells can track dynamic association with nascent transcripts . Spatial transcriptomics platforms could be enhanced with eIF4A3 antibody staining to correlate protein localization with processed transcript patterns across tissue architecture. Microfluidic platforms combining single-cell isolation with on-chip immunocapture using eIF4A3 antibodies followed by RNA analysis would enable high-throughput correlation of protein levels with splicing outcomes. Mass cytometry (CyTOF) with metal-conjugated eIF4A3 antibodies could quantitatively profile RNA processing factors across thousands of individual cells simultaneously. These innovative applications of eIF4A3 antibodies will advance our understanding of how RNA processing varies between individual cells in development, differentiation, and disease contexts.
Emerging modifications to eIF4A3 antibodies present opportunities to dramatically enhance their utility across research applications. Site-specific conjugation technologies that attach fluorophores or other functional groups at defined positions away from antigen-binding regions can improve signal-to-noise ratios while maintaining full binding capacity . Developing recombinant antibody fragments such as single-chain variable fragments (scFvs) or antigen-binding fragments (Fabs) derived from validated eIF4A3 antibodies would enhance penetration into complex tissues and enable super-resolution microscopy applications by reducing the distance between fluorophore and target . Bifunctional antibodies that simultaneously recognize eIF4A3 and another RNA processing factor could visualize specific subcomplexes without requiring secondary detection reagents. For live-cell applications, engineering high-affinity, conformation-specific nanobodies against eIF4A3 would enable real-time tracking of dynamic processes with minimal interference. Photocrosslinking antibodies incorporating photo-activatable chemical groups could covalently capture transient eIF4A3 interactions upon light stimulation for subsequent analysis. Developing antibodies specific to post-translationally modified forms of eIF4A3 (phosphorylated, ubiquitinated, etc.) would enable monitoring of regulatory events affecting this protein . Proximity-labeling antibodies conjugated to enzymes like APEX2 or TurboID could map the local interactome of eIF4A3 in specific subcellular compartments. For therapeutic applications, developing intrabodies—antibodies designed to function within cells—could specifically modulate eIF4A3 activity in disease models. These innovations collectively represent the next generation of research tools that will advance our understanding of eIF4A3 biology from static observations to dynamic, functional insights in increasingly complex biological systems.
Computational approaches significantly enhance experimental design and data interpretation when working with eIF4A3 antibodies across multiple dimensions. Epitope prediction algorithms can identify optimal antibody binding sites on eIF4A3 that are accessible in native conformations while avoiding conserved regions shared with other DEAD-box helicases, guiding more specific antibody selection . Structural modeling of eIF4A3-antibody complexes using AlphaFold or similar tools can predict potential interference with protein-protein or protein-RNA interactions, informing experimental design for functional studies. Automated image analysis pipelines incorporating machine learning algorithms can quantify subtle changes in eIF4A3 localization patterns across different experimental conditions with greater objectivity and throughput than manual assessment . Network analysis of eIF4A3 interactome data obtained from antibody-based pulldowns can identify functional modules and predict previously unrecognized roles in cellular pathways. Integrating antibody-derived protein localization data with RNA-seq or eCLIP-seq datasets enables computational inference of structure-function relationships in RNA processing. Bayesian statistical approaches can strengthen interpretation of antibody validation data by incorporating prior probability distributions from similar antibodies against related targets. For clinical applications, multivariate models incorporating eIF4A3 antibody staining patterns alongside other markers can improve diagnostic accuracy and prognostic predictions. Database integration tools that aggregate eIF4A3 antibody validation data across published studies provide more comprehensive assessment of antibody performance across different applications and experimental conditions . These computational approaches collectively enhance the robustness of experimental design, improve data interpretation, and accelerate discovery when working with eIF4A3 antibodies in research contexts.