ELAVL3 is a neural-specific RNA-binding protein belonging to the RRM ELAV protein family. It binds to AU-rich element (ARE) sequences of target mRNAs, including VEGF mRNA . With a canonical length of 367 amino acids and molecular weight of approximately 39.5 kDa in humans, ELAVL3 has been reported to exist in up to 2 different isoforms . This protein is particularly important in neuroscience research due to its brain-specific expression pattern and its role in RNA processing during neuronal differentiation . Additionally, recent research has identified ELAVL3 as a potential factor in neuroendocrine prostate cancer, making it relevant for oncology research as well .
ELAVL3 antibodies are versatile reagents used in multiple detection techniques. Western blot represents the most widely used application, with over 810 citations in scientific literature describing ELAVL3 antibody use in research . Other common applications include:
ELISA (enzyme-linked immunosorbent assay)
Immunofluorescence
Immunohistochemistry (IHC)
RNA immunoprecipitation (RIP)
For IHC applications, validation studies have demonstrated that ELAVL3 antibodies can effectively detect differential expression patterns between tissue types, as exemplified by studies showing upregulation specifically in neuroendocrine prostate cancer tissues compared to other prostate cancer types .
HRP-conjugated antibodies offer several methodological advantages for ELAVL3 detection:
Enhanced sensitivity through enzymatic signal amplification
Elimination of secondary antibody incubation steps, reducing protocol time and potential background
Compatibility with multiple detection substrates (chemiluminescent, colorimetric, fluorescent)
Ideal for techniques requiring high signal-to-noise ratios
Useful in multiplexing with differently labeled antibodies when studying ELAVL3 alongside other proteins
When working with tissue samples, HRP-conjugated antibodies have proven particularly effective in distinguishing between benign prostate tissues, hormone-sensitive prostate cancer, castration-resistant prostate adenocarcinoma, and neuroendocrine prostate cancer .
Optimizing Western blot protocols for ELAVL3 detection requires several considerations:
Sample preparation:
For neural tissues or cell lines, use a lysis buffer containing 2% sodium dodecyl sulfate, 30% glycerol, 300 mM β-mercaptoethanol, and 100 mM Tris-HCl pH 6.8
Include protease inhibitors to prevent degradation
Sonicate samples to shear DNA and reduce sample viscosity
Antibody dilution and incubation:
Begin with manufacturer-recommended dilutions (typically 1:1,000 for ELAVL3 antibodies)
For HRP-conjugated versions, optimize both antibody concentration and substrate exposure time
Use 5% non-fat dry milk or BSA in TBST for blocking and antibody dilution
Controls and validation:
Include recombinant ELAVL3 protein as a positive control
Use ELAVL3-depleted samples (siRNA treated) as negative controls
Consider using NCI-H660 or LASCPC-01 cell lysates as positive controls for high ELAVL3 expression
Optimization should be conducted systematically, changing only one parameter at a time while keeping others constant to identify optimal conditions for your specific experimental system.
When performing IHC with ELAVL3 antibodies, researchers should consider:
Antigen retrieval methods:
Heat-induced epitope retrieval in citrate buffer (pH 6.0) is generally effective for ELAVL3 detection
Optimization of retrieval time may be necessary (typically 15-20 minutes)
Antibody specificity validation:
Perform blocking studies using recombinant ELAVL3 protein to confirm antibody specificity
Include appropriate positive control tissues (neural tissues, neuroendocrine tumors)
Quantification approaches:
Use both staining intensity and percentage of positive cells for comprehensive evaluation
Consider digital image analysis for objective quantification
Multiple label studies:
For HRP-conjugated antibodies in multiplex IHC, sequential tyramine signal amplification can be used
Carefully select chromogens with distinct colors when using multiple HRP-conjugated antibodies
Neuroendocrine prostate cancer tissues show distinctly higher ELAVL3
expression compared to other prostate tissues, making proper staining quantification essential .
Validating antibody specificity is crucial for reliable research outcomes. Recommended approaches include:
Epitope blocking experiments: Pre-incubate the antibody with recombinant ELAVL3 protein before application to samples. This should abolish specific staining as demonstrated in published validation studies .
siRNA/shRNA knockdown: Deplete ELAVL3 using RNA interference and confirm reduced antibody signal. This approach has been successfully used to validate antibody specificity in neural stem cells .
Western blot analysis: Verify a single band of appropriate molecular weight (approximately 39.5 kDa) .
Cross-reactivity assessment: Test the antibody on tissues from different species if cross-reactivity is claimed by the manufacturer .
Comparative analysis with different antibody clones: Use multiple antibodies targeting different epitopes of ELAVL3 to confirm consistent staining patterns.
ELAVL3 plays a critical role in RNA processing, particularly in polyadenylation site selection during neuronal differentiation . To study these functions:
RNA immunoprecipitation (RIP):
Use ELAVL3 antibodies to isolate ELAVL3-bound RNA complexes
Perform RIP-seq to identify ELAVL3 RNA targets on a transcriptome-wide scale
RIP-qPCR can verify specific targets, as demonstrated in studies of MYCN transcript binding
Alternative polyadenylation analysis:
RT-PCR with primers designed to amplify different 3' UTR variants can assess changes in polyadenylation site usage
4-thiouridine (4sU) labeling of nascent RNA followed by biotin pull-down allows quantification of transcript variants
Functional studies:
siRNA-mediated depletion of ELAVL3 has been shown to cause a shift toward usage of proximal polyadenylation sites in transcripts like PES1, HNRNPA0, and GNG2
Analysis of domain-specific functions can be performed using deletion constructs targeting specific RNA recognition motifs (RRM1, RRM2, RRM3)
Research has shown that ELAVL3 knockdown shifts polyadenylation site usage from distal to proximal sites in multiple transcripts, demonstrating its role in 3' UTR lengthening during inhibitory neuron differentiation .
Recent research has revealed significant connections between ELAVL3 and neuroendocrine prostate cancer:
Expression patterns:
ELAVL3 is specifically upregulated in neuroendocrine prostate cancer compared to other prostate cancer types
Immunohistochemical studies with ELAVL3 antibodies show distinct expression patterns across:
Functional significance:
ELAVL3 overexpression is sufficient to induce neuroendocrine phenotype in prostate adenocarcinoma
ELAVL3 forms a positive feedback loop with MYCN, stabilizing MYCN mRNA through binding to its 3' UTR
ELAVL3 deficiency reduces tumor growth in xenograft models and shifts cells from neuroendocrine to luminal phenotypes
Therapeutic implications:
ELAVL3 knockdown increases sensitivity to enzalutamide therapy, with enhanced inhibitory effects when combined
ELAVL3 overexpression confers resistance to enzalutamide (IC50 of 74.17 μM vs. 23.55 μM in control cells)
Antibody-based approaches including IHC, Western blotting, and RIP assays have been instrumental in elucidating these relationships. Particularly, HRP-conjugated antibodies can provide the sensitivity needed for detecting subtle expression differences between tumor subtypes.
ELAVL3 contains three RNA recognition motifs (RRMs) and a hinge region that are highly conserved across species . Studies using domain-specific deletion constructs have revealed:
Domain | Position | Functional Significance | Methods to Study |
---|---|---|---|
RRM1 | N-terminal | Essential for MYCN mRNA binding and neuroendocrine differentiation | Domain deletion, RIP-seq, luciferase reporter assays |
RRM2 | Central | Required for controlling MYCN and mediating neuroendocrine differentiation | Domain deletion, functional assays |
RRM3 | C-terminal | Less critical for some functions | Domain deletion studies |
Hinge region | Between RRM2 and RRM3 | Connects functional domains | Mutation analysis |
Research has demonstrated that deletion of either RRM1 or RRM2 prevents ELAVL3 from stimulating MYCN expression or inducing neuroendocrine phenotypes . RIP-seq analysis comparing wildtype ELAVL3 and RRM1-deleted variants showed that RRM1 is necessary for binding to MYCN transcripts .
When designing experiments to study domain-specific functions, using antibodies that recognize different regions of ELAVL3 can provide complementary information about protein interactions and conformational changes.
When working with ELAVL3 antibodies, researchers frequently encounter several challenges:
Background signal issues:
Problem: Non-specific background staining in IHC or Western blot
Solution: Increase blocking time/concentration, optimize antibody dilution, include additional wash steps
Inconsistent results across experiments:
Problem: Variable signal intensity between replicates
Solution: Standardize protein loading, optimize antibody concentration, ensure consistent incubation times and temperatures
Cross-reactivity concerns:
Problem: Potential cross-reactivity with other ELAV family members (ELAVL1/HuR, ELAVL2/HuB, ELAVL4/HuD)
Solution: Validate antibody specificity using recombinant proteins or knockout/knockdown systems
Epitope masking:
Problem: Protein-protein interactions or post-translational modifications may mask the epitope
Solution: Try different fixation methods, alternative antibody clones, or different epitope targets
Signal detection limitations:
Problem: Weak signal from low-abundance targets
Solution: For HRP-conjugated antibodies, use high-sensitivity substrates, increase antibody concentration, or implement signal amplification methods
Robust experimental design requires appropriate controls:
Positive controls:
Tissues/cells known to express ELAVL3 (neural tissues, NCI-H660 or LASCPC-01 cell lines)
Recombinant ELAVL3 protein for Western blot standardization
Negative controls:
ELAVL3 knockout or knockdown samples
Tissues known to lack ELAVL3 expression
Antibody diluent without primary antibody
Specificity controls:
Isotype-matched control antibodies
Competitive binding experiments
Quantitative controls:
Standard curves with recombinant protein for quantitative applications
Housekeeping proteins (like actin) for Western blot normalization
Calibrated reference standards for absolute quantification
For HRP-conjugated antibodies specifically, include enzyme activity controls to verify conjugate functionality and stability over time.
ELAVL3's role in neuroendocrine prostate cancer suggests several therapeutic applications:
Biomarker development:
ELAVL3 antibodies could help identify patients with neuroendocrine features who might benefit from targeted therapies
Monitoring ELAVL3 expression could track therapeutic response or disease progression
Target validation:
Antibody-based studies have established the ELAVL3/MYCN feedback loop as a potential therapeutic target
Combining ELAVL3 downregulation with enzalutamide treatment shows enhanced therapeutic effects
Drug screening:
HRP-conjugated ELAVL3 antibodies could facilitate high-throughput screening assays to identify compounds disrupting ELAVL3 binding to target RNAs
Compounds targeting ELAVL3-MYCN interactions might represent novel therapeutic approaches
Research has demonstrated that ELAVL3 deficiency increases sensitivity to enzalutamide therapy, suggesting potential combination therapy approaches . Further studies using well-validated antibodies will be critical in translating these findings into clinical applications.
Several cutting-edge technologies show promise for expanding ELAVL3 research:
Proximity ligation assays:
Can detect protein-protein interactions involving ELAVL3 in situ
Useful for studying components of ELAVL3-containing ribonucleoprotein complexes
Mass cytometry (CyTOF):
Allows simultaneous detection of multiple proteins including ELAVL3
Can reveal heterogeneity in expression across cell populations
Spatial transcriptomics:
Combined with immunohistochemistry can correlate ELAVL3 protein expression with transcriptome-wide effects
Provides insights into tissue-specific functions
CRISPR-based approaches:
Gene editing of ELAVL3 binding sites can validate direct RNA targets
Domain-specific mutagenesis can dissect structure-function relationships
Single-cell proteomics:
Can reveal cell-to-cell variability in ELAVL3 expression and function
Particularly relevant for heterogeneous tissues like tumors