| Parameter | Details |
|---|---|
| Target | SRRM4 (Serine/arginine repetitive matrix protein 4) |
| Epitope | AA 400–479 of human SRRM4 |
| Host | Rabbit |
| Clonality | Polyclonal |
| Reactivity | Human |
| Conjugate | HRP (Horseradish Peroxidase) |
| Applications | ELISA, Western Blot (WB) |
| Purification | >95% Protein G purified |
| Immunogen | Recombinant human SRRM4 protein (400–479AA) |
| Buffer | 50% glycerol, 0.01M PBS (pH 7.4), 0.03% Proclin 300 |
| Storage | -20°C or -80°C (avoid freeze-thaw cycles) |
Direct detection eliminates the need for secondary antibodies in HRP-based assays.
Specificity validated for human SRRM4; cross-reactivity with non-human species (e.g., mouse, rat) is not explicitly confirmed in HRP-conjugated variants .
Purpose: Quantitative detection of SRRM4 in lysates or serum.
Protocol:
Purpose: Analyze SRRM4 expression levels in cell lysates or tissue extracts.
Protocol:
SRRM4 promotes inclusion of neural-specific exons (e.g., exon L in protrudin) through recognition of conserved UGC motifs in pre-mRNA. This splicing pattern is critical for neurite outgrowth and neuron differentiation .
Mechanism:
Knockdown/Overexpression Effects:
SRRM4 expression is epigenetically silenced in tumors, correlating with reduced microexon inclusion and increased mitotic gene expression. Overexpression inhibits cancer cell proliferation by inducing differentiation-like splicing patterns .
SRRM4 expands the repertoire of circular RNAs (circRNAs) by regulating microexon-containing circRNAs (ME-circRNAs). Overexpression in HEK293 cells generates >2,000 novel ME-circRNAs, with implications for glioma pathogenesis .
SRRM4 is a splicing factor crucial for neural cell differentiation. It collaborates with nPTB/PTBP2, directly binding to target transcripts to promote the inclusion of neural-specific exons in numerous genes involved in neural differentiation. This includes promoting inclusion of neural-specific exon 10 in nPTB/PTBP2, thereby increasing its neural-specific expression. Further, it promotes exon 16 inclusion in DAAM1 within neuronal extracts. Additionally, SRRM4 regulates alternative splicing of REST transcripts, favoring the production of REST isoform 3 (REST4), which exhibits significantly reduced repressive activity. This ultimately leads to the activation of REST target genes in neural cells. SRRM4 plays a vital role in both embryonic development and the proper function of the adult nervous system, regulating alternative splicing in genes with key neuronal functions.
SRRM4's role in various biological processes is supported by the following research findings:
SRRM4 (Serine/arginine repetitive matrix protein 4) is a nuclear splicing factor specifically required for neural cell differentiation. It functions by binding directly to regulated target transcripts and promoting the inclusion of neural-specific exons in target mRNAs . With a molecular weight of 68.6 kDa and 611 amino acid residues in humans, SRRM4 is predominantly expressed in neuronal cells . Its critical role in neural-specific alternative splicing makes it an important research target for understanding neuronal development, function, and related pathologies. Recent evidence also suggests SRRM4 involvement in neuroendocrine differentiation in certain cancer types, expanding its research significance beyond neuroscience .
HRP (Horseradish Peroxidase) conjugation to SRRM4 antibodies offers several methodological advantages in research applications. The enzyme conjugation provides enhanced sensitivity through signal amplification when appropriate substrates are added, generating colorimetric, chemiluminescent, or fluorescent signals. This direct conjugation eliminates the need for secondary antibody incubation steps, reducing background signal and protocol complexity. HRP-conjugated antibodies are particularly valuable in ELISA applications, where they enable straightforward detection with standard plate readers and various substrates . The stability of HRP conjugates also allows for longer storage and consistent performance across experiments when properly maintained.
When selecting an HRP-conjugated SRRM4 antibody, researchers should consider several critical specifications:
Epitope specificity: Some antibodies target specific regions of SRRM4 (e.g., AA 400-479 as described in the product datasheet) , which is important when studying different functional domains.
Host species and clonality: Available products include rabbit polyclonal antibodies, which offer broad epitope recognition .
Purity level: Higher purity antibodies (e.g., >95% Protein G purified) generally provide more consistent results with lower background .
Cross-reactivity profile: Determine if the antibody cross-reacts with SRRM4 from other species if conducting comparative studies. Some antibodies show reactivity with human SRRM4 only, while others may cross-react with mouse, rat, or other species .
Validated applications: Confirm the antibody has been validated for your specific application, such as ELISA, Western blot, or immunohistochemistry .
Conjugate stability: Consider the shelf-life and storage requirements of the HRP conjugate to maintain enzymatic activity.
A robust experimental design with HRP-conjugated SRRM4 antibodies should include these essential controls:
Positive tissue control: Neural tissues or neuronal cell lines known to express SRRM4, which is primarily expressed in neuronal cells .
Negative tissue control: Samples known not to express SRRM4 or where expression has been knocked down/out through genetic manipulation.
Isotype control: An irrelevant antibody of the same isotype (e.g., rabbit IgG) also conjugated to HRP to establish baseline non-specific binding .
Blocking peptide control: Pre-incubation of the antibody with its specific immunogen (e.g., recombinant SRRM4 protein aa 400-479) to confirm binding specificity .
Endogenous peroxidase control: Especially important for tissue samples, include steps to quench endogenous peroxidase activity before antibody application.
Dilution optimization control: A dilution series of the antibody to determine optimal signal-to-noise ratio for your specific sample type.
Substrate-only control: To assess background from the detection system alone without antibody.
The optimal ELISA protocol for HRP-conjugated SRRM4 antibodies involves these methodological steps:
Plate preparation:
Coat high-binding 96-well plate with capture antigen or antibody (if sandwich ELISA)
Incubate overnight at 4°C in appropriate coating buffer
Wash 3-5 times with washing buffer (PBS-T: PBS + 0.05% Tween-20)
Blocking:
Block remaining binding sites with 1-5% BSA or non-fat dry milk in PBS
Incubate for 1-2 hours at room temperature
Wash 3-5 times with washing buffer
Sample addition:
Add samples and standards in dilution buffer
Incubate for 2 hours at room temperature or overnight at 4°C
Wash 5 times with washing buffer
HRP-conjugated antibody application:
Signal development:
Add appropriate HRP substrate (TMB, ABTS, or OPD)
Monitor color development (typically 5-30 minutes)
Stop reaction with stopping solution if using TMB (e.g., 2N H₂SO₄)
Data acquisition:
Read absorbance at appropriate wavelength
Analyze data against standard curve
Optimal sample preparation for SRRM4 detection in neural tissues requires careful consideration of its nuclear localization and neural-specific expression:
Tissue fixation options:
For formalin-fixed paraffin-embedded (FFPE) sections: Fix in 10% neutral-buffered formalin for 24-48 hours, followed by paraffin embedding
For frozen sections: Flash freeze in liquid nitrogen and section at 8-12 μm thickness
For cell preparations: Fix with 4% paraformaldehyde for 15-20 minutes
Antigen retrieval for FFPE tissues:
Heat-mediated antigen retrieval using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Pressure cook for 10-15 minutes or microwave for 20 minutes
Allow gradual cooling to room temperature
Permeabilization for nuclear antigen:
Blocking steps:
Block endogenous peroxidase with 0.3-3% H₂O₂ treatment for 10-15 minutes
Use 5-10% normal serum (from the same species as the secondary antibody if using an indirect detection system)
Consider dual blocking with serum and protein blockers (e.g., 1% BSA)
Sample handling considerations:
Maintain consistent section thickness across experimental groups
Process all comparative samples simultaneously to minimize technical variation
Store sections appropriately to maintain antigen integrity
When working with HRP-conjugated SRRM4 antibodies, researchers may encounter several common issues with specific resolution strategies:
High background signal:
Cause: Insufficient blocking, too concentrated antibody, or inadequate washing
Solution: Optimize blocking conditions (try different blocking proteins), increase antibody dilution, and implement more stringent washing steps
Weak or no signal:
Cause: Insufficient antigen, over-diluted antibody, or suboptimal antigen retrieval
Solution: Verify SRRM4 expression in sample (neural tissues are positive controls), decrease antibody dilution, optimize antigen retrieval conditions (temperature, buffer, duration)
Non-specific binding:
Cause: Cross-reactivity with related proteins or insufficient blocking
Solution: Pre-absorb antibody with potential cross-reactive proteins, use more specific blocking reagents, consider monoclonal alternatives if using polyclonal antibodies
Inconsistent results:
Cause: Variability in sample preparation, antibody aliquots, or detection conditions
Solution: Standardize all protocols, prepare fresh working dilutions for each experiment, and maintain consistent temperature and timing
HRP activity loss:
Cause: Improper storage, repeated freeze-thaw cycles, or exposure to contaminants
Solution: Store according to manufacturer recommendations, prepare single-use aliquots, use stabilizing diluents for working solutions
Validating the specificity of SRRM4 antibody binding requires multiple complementary approaches:
Molecular validation:
SRRM4 knockdown/knockout: Generate cell lines with reduced or eliminated SRRM4 expression to confirm signal reduction
Peptide competition: Pre-incubate antibody with immunizing peptide to block specific binding
Western blot: Verify detection of a single band at the expected molecular weight (68.6 kDa)
Comparative validation:
Functional validation:
Correlation with functional readouts: Compare SRRM4 detection with alternative splicing patterns of known targets
Co-localization studies: Verify nuclear localization consistent with its role as a splicing factor
Expression timing: Confirm expression patterns during neural differentiation match known SRRM4 activity patterns
Technical validation:
Titration experiments: Perform serial dilutions to establish optimal concentration
Signal linearity assessment: Verify that signal strength correlates with known expression levels
Method comparison: Compare results across different detection platforms (IHC, Western blot, ELISA)
For enhancing detection sensitivity of SRRM4 in samples with low expression levels, consider these optimization strategies:
Signal amplification methods:
Tyramide signal amplification (TSA): Implement TSA systems compatible with HRP to amplify signal 10-100 fold
Multi-layer detection: Use biotin-streptavidin systems with multiple HRP molecules per binding event
Polymer-based detection: Utilize detection systems with multiple HRP molecules conjugated to polymers
Sample preparation enhancements:
Technical adjustments:
Reduce background: Implement extended blocking steps with specialized blocking reagents
Optimize substrate: Select highly sensitive substrates for HRP (e.g., enhanced chemiluminescence for Western blots)
Increase antibody concentration: For samples with known low expression, higher antibody concentrations may be necessary
Detection system modifications:
Digital image capture: Use longer exposure times and higher sensitivity settings
Signal integration: Employ longer data acquisition times for spectrophotometric readings
Noise reduction algorithms: Apply computational methods to enhance signal-to-noise ratio
HRP-conjugated SRRM4 antibodies can be strategically employed to investigate alternative splicing in neural differentiation through several advanced approaches:
Temporal expression profiling:
Track SRRM4 protein levels across neural differentiation time points
Correlate SRRM4 expression with neural marker appearance and alternative exon inclusion
Quantify changes in expression levels during critical developmental windows
Chromatin immunoprecipitation (ChIP) applications:
Adapt HRP-conjugated antibodies for ChIP protocols to identify SRRM4 binding sites
Map binding patterns to exon-intron boundaries of alternatively spliced genes
Correlate binding data with RNA-seq analysis of alternative splicing events
Co-localization studies:
Perform dual labeling with spliceosome components using fluorescent secondary detection
Visualize SRRM4 recruitment to active splicing sites during neural differentiation
Quantify changes in nuclear speckle morphology and composition
Functional manipulation experiments:
Monitor SRRM4 protein expression following knockdown/overexpression interventions
Correlate protein levels with functional readouts of neural differentiation
Identify threshold levels required for alternative splicing regulation
Cell type-specific analyses:
Compare SRRM4 expression across neural subtypes (neurons vs. glia)
Identify cell type-specific co-factors that interact with SRRM4
Correlate expression patterns with cell type-specific splicing events
Based on emerging evidence of SRRM4's role in neuroendocrine differentiation , these methodological approaches are recommended:
Tissue microarray analysis:
Develop standardized immunohistochemistry protocols using HRP-conjugated SRRM4 antibodies
Compare expression across cancer progression stages using tissue microarrays
Correlate with established neuroendocrine markers (chromogranin A, synaptophysin)
Patient-derived models:
Establish patient-derived xenografts or organoids representing different disease stages
Monitor SRRM4 expression during treatment responses and resistance development
Correlate expression with treatment outcomes and patient survival data
Mechanistic studies:
Perform SRRM4 manipulation experiments in relevant cancer cell lines
Identify direct splicing targets using RNA immunoprecipitation followed by sequencing
Validate key targets using minigene splicing assays
Therapeutic targeting assessment:
Screen for compounds that modulate SRRM4 expression or activity
Evaluate effects on neuroendocrine differentiation and tumor growth
Determine potential synergistic effects with standard-of-care treatments
Biomarker development pipeline:
Optimize detection protocols for clinical sample types
Establish quantitative scoring systems for SRRM4 immunostaining
Determine sensitivity and specificity for predicting disease progression
Integration of HRP-conjugated SRRM4 antibodies with complementary technologies enables comprehensive protein-RNA interaction studies:
CLIP-seq integration:
Use HRP-conjugated SRRM4 antibodies to validate protein expression in cells prepared for CLIP-seq
Correlate protein levels with binding site frequency and strength
Develop dual protocol workflows for simultaneous protein detection and RNA binding assessment
Spatial transcriptomics combination:
Perform HRP-based SRRM4 detection on tissue sections
Apply spatial transcriptomics on sequential sections (e.g., Visium platform)
Integrate protein expression maps with spatially-resolved alternative splicing data
Proximity ligation adaptations:
Combine SRRM4 antibodies with antibodies against other splicing factors
Visualize and quantify in situ protein-protein interactions in the splicing machinery
Map interaction networks across neural development or disease progression
Live-cell applications:
Develop protocols for live-cell imaging of SRRM4 using antibody fragments
Track dynamic associations with target RNAs using MS2-tagged transcripts
Measure kinetics of complex assembly and disassembly during splicing events
Mass spectrometry workflows:
Use HRP-conjugated antibodies for immunoprecipitation followed by mass spectrometry
Identify novel SRRM4 interacting partners in different neural subtypes
Discover post-translational modifications that regulate SRRM4 activity
A comprehensive comparison of HRP-conjugated SRRM4 antibodies with alternative detection systems reveals important performance differences:
| Parameter | HRP-Conjugated Antibodies | Fluorophore-Conjugated Antibodies | Biotin-Conjugated Antibodies | Unconjugated Primary Antibodies |
|---|---|---|---|---|
| Detection sensitivity | High with amplification | Moderate to high depending on fluorophore | High with streptavidin amplification | Dependent on secondary detection |
| Signal stability | Permanent with chromogenic substrates | Susceptible to photobleaching | Stable with appropriate substrates | Depends on secondary detection |
| Multiplexing capacity | Limited (sequential approaches) | High (spectral separation) | Moderate with specialized systems | High with different species primaries |
| Subcellular resolution | Good | Excellent for fine structures | Good | Excellent with fluorescent secondaries |
| Equipment requirements | Standard brightfield microscope | Fluorescence microscope | Depends on detection system | Depends on secondary detection |
| Background issues | Endogenous peroxidase activity | Tissue autofluorescence | Endogenous biotin | Secondary cross-reactivity |
| Protocol complexity | Simplified (no secondary) | Simplified (no secondary) | Requires additional detection step | Requires secondary antibody step |
| Cost considerations | Moderate | Higher | Moderate | Lower for primary, additional cost for secondary |
This comparison helps researchers select the optimal detection system based on specific experimental requirements, available equipment, and desired outcomes.
To resolve contradictory findings regarding SRRM4 expression patterns in neural subtypes, implement this comprehensive experimental design:
Multi-method validation approach:
Compare results from HRP-conjugated antibody detection with RNA-seq, qPCR, and in situ hybridization
Use multiple antibodies targeting different SRRM4 epitopes
Employ both polyclonal and monoclonal antibodies to balance sensitivity and specificity
Carefully defined neural populations:
Use well-characterized cell sorting methods to isolate specific neural subtypes
Implement single-cell approaches to resolve heterogeneity within populations
Correlate with established cell type-specific markers for precise identification
Developmental timeline consideration:
Examine expression at precisely defined developmental stages
Include multiple time points to capture dynamic expression changes
Standardize age/stage definitions across experiments
Cross-species validation:
Quantitative analysis framework:
Implement rigorous quantification methods with standardized thresholds
Use automated image analysis to eliminate observer bias
Apply appropriate statistical tests with corrections for multiple comparisons
Several promising research directions for SRRM4 would benefit from optimized antibody detection:
Neurodevelopmental disorder investigations:
Map SRRM4 expression in neurodevelopmental disorder models
Correlate splicing aberrations with SRRM4 expression levels in autism, intellectual disability, and related conditions
Develop high-throughput screening assays for compounds that normalize SRRM4-dependent splicing
Neurodegenerative disease connections:
Examine SRRM4-mediated alternative splicing in age-related neurodegenerative conditions
Investigate potential links between SRRM4 dysfunction and protein aggregation
Explore therapeutic strategies targeting SRRM4-regulated splicing events
Cancer biology applications:
Neural circuit specialization:
Map SRRM4 expression across functionally defined neural circuits
Correlate expression with electrophysiological properties and connectivity patterns
Investigate activity-dependent regulation of SRRM4 expression and function
Therapeutic development:
Establish high-throughput screening platforms using HRP-conjugated antibodies
Develop reporters for SRRM4 activity to facilitate drug discovery
Explore RNA therapeutics targeting SRRM4-regulated splicing events
For researchers planning experiments with HRP-conjugated SRRM4 antibodies, these key considerations will maximize success:
Carefully validate antibody specificity using multiple approaches (Western blot, peptide competition, knockout controls) before proceeding with extensive studies.
Optimize detection protocols specifically for neural tissues, considering SRRM4's nuclear localization and neural-specific expression pattern .
Include comprehensive controls in every experiment, particularly positive controls from neural tissues and negative controls from non-neural tissues.
Consider the advantages and limitations of HRP conjugation compared to other detection methods, particularly when designing multiplexed experiments.
Leverage the growing understanding of SRRM4's role in neural development and potentially in disease contexts like neuroendocrine cancer to formulate hypothesis-driven experimental designs.
Implement rigorous quantification methods appropriate for the specific application (IHC, Western blot, ELISA) to enable reliable comparative analyses.
Remain aware of potential cross-reactivity with related splicing factors, particularly in experimental systems with complex protein expression profiles.