Validated for multiple immunoassays across species:
Cross-reactivity: Confirmed in human, mouse, rat, dog, cow, and horse tissues . Proteintech’s antibody (12474-1-AP) specifically detects SEMA4F in HepG2 cells and mouse lung via WB and IP .
Neural Development: Exhibits growth cone collapse activity in retinal ganglion-cell axons, implicating SEMA4F in axonal guidance .
Cancer Research: Overexpressed in human adenocarcinoma (colon, lung, breast) and squamous cell carcinoma tissues, validated via IHC with DAB staining .
Protocol Specificity:
Buffer Compatibility: Avoid repeated freeze-thaw cycles; formulations include 0.01M TBS (pH 7.4) with 1% BSA or PBS with 0.02% sodium azide .
Controls: Use human/mouse brain lysates for WB or cancer tissue sections for IHC .
Interference: ProClin300 preservative in some products requires careful handling .
SEMA4F (Semaphorin-4F) is a transmembrane class IV semaphorin family protein that plays critical roles in neural development. It is encoded by the SEMA4F gene (GeneID: 10505) and is also known by several synonyms including S4F, SEMAM, SEMAW, M-SEMA, and PRO2353 . The protein contains a sema domain, immunoglobulin domain (Ig), transmembrane domain (TM), and a short cytoplasmic domain .
Functionally, SEMA4F demonstrates growth cone collapse activity against retinal ganglion-cell axons, suggesting its importance in axonal guidance and neural patterning . Expression studies have detected SEMA4F postnatally in multiple tissues with highest levels in the brain, indicating its potential role in the maintenance of adult nervous tissue . Notably, SEMA4F serves as an important mediator of the association between normal Schwann cells and axons in the peripheral nervous system .
Quantitative RT-PCR analyses from sciatic nerves isolated at different developmental stages (postnatal days P0, P7, P14, P21, and P60) demonstrate that SEMA4F expression is detectable throughout postnatal development . Expression studies reveal that SEMA4F levels are as high in isolated Schwann cells as in whole nerve tissue, while being almost undetectable in fibroblasts, suggesting cell-type specific expression patterns .
In adult peripheral nerves where Schwann cell-axonal interactions are fully established, Schwann cells maintain significant SEMA4F expression. This expression pattern is not an artifact of tissue culture conditions but reflects the endogenous phenotype of Schwann cells in vivo . These observations highlight SEMA4F's potential importance in maintaining proper neural architecture in the adult peripheral nervous system.
SEMA4F Antibody, Biotin conjugated is a polyclonal antibody typically raised in rabbit hosts that recognizes human SEMA4F protein . The antibody is generated against specific immunogens such as recombinant human Semaphorin-4F protein (amino acids 417-659) or fusion proteins containing the human sema domain, immunoglobulin domain, transmembrane domain, and short cytoplasmic domain .
The biotin conjugation process attaches biotin molecules to the antibody, enabling high-affinity interactions with streptavidin or avidin systems. This conjugation facilitates detection through enzyme-conjugated streptavidin in various assay formats . The molecular weight of the target protein (SEMA4F) is approximately 66 kDa, though it may also be observed at 84 kDa in some experimental settings, likely due to post-translational modifications .
The primary validated application for SEMA4F Antibody, Biotin conjugated is ELISA (Enzyme-Linked Immunosorbent Assay) . When working with biotin-conjugated antibodies in general, they are commonly used in conjunction with streptavidin or avidin conjugates in various detection systems .
For non-biotin conjugated versions of SEMA4F antibody, additional validated applications include Western Blot (WB) and Immunoprecipitation (IP) . When designing experiments with the biotin-conjugated version, researchers should consider these potential applications while accounting for the additional considerations related to biotin-streptavidin detection systems.
Application | Validated | Recommended Dilution Range |
---|---|---|
ELISA | Yes | 1:50 - 1:1,000 |
Western Blot | Potential | 1:500 - 1:2,000 (based on non-conjugated version) |
Immunoprecipitation | Potential | 0.5-4.0 μg per 1.0-3.0 mg total protein |
Note: Optimal dilutions should be determined empirically for each experimental system .
When designing experiments using SEMA4F Antibody, Biotin conjugated, include the following controls:
Negative controls:
Isotype control: Use biotin-conjugated rabbit IgG (matching the host species and isotype) to assess non-specific binding
No primary antibody control: Replace primary antibody with buffer to detect potential non-specific binding of detection reagents
Blocking peptide control: Pre-incubate antibody with excess immunizing peptide to confirm specificity
Positive controls:
Technical controls:
Streptavidin-only control: Apply only the streptavidin detection reagent to assess background
Endogenous biotin blocking: Apply avidin/biotin blocking steps when working with tissues containing endogenous biotin
These controls help distinguish genuine SEMA4F detection from technical artifacts and provide necessary validation for research findings .
Based on the literature, several cell and tissue types demonstrate reliable SEMA4F expression and are suitable for antibody validation and experimental applications:
Neural tissues:
Cell lines and primary cells:
Negative or low expression controls:
When studying SEMA4F expression patterns, comparing levels across these different tissue types can provide valuable internal controls and contextual information for interpretation of results .
To maintain optimal activity of SEMA4F Antibody, Biotin conjugated, adhere to these storage recommendations:
Temperature: Store at -20°C or -80°C for long-term storage . For conjugated antibodies, avoid repeated freeze-thaw cycles by preparing small aliquots upon receipt.
Short-term storage: Some biotin-conjugated antibodies may be stored at 4°C in the dark for up to 6 months , but this varies by manufacturer and should be verified for each specific product.
Buffer conditions: Typical storage buffers contain stabilizers such as:
Light protection: Biotin conjugates should be protected from light exposure during storage and handling to prevent photobleaching and maintain conjugate integrity .
Proper storage is critical for maintaining antibody activity and experimental reproducibility over time.
To optimize signal-to-noise ratio in ELISA applications:
Antibody titration: Perform checkerboard titrations to determine optimal antibody concentration. Start with recommended dilutions (1:50 - 1:250 for most applications) and adjust based on signal intensity and background levels.
Blocking optimization:
Detection system considerations:
Select enzyme-conjugated streptavidin reagents compatible with desired detection methods
HRP-conjugated streptavidin typically provides good sensitivity with various substrates
Consider amplification systems (e.g., tyramide signal amplification) for detecting low-abundance targets
Wash protocol optimization:
Increase number of wash steps (5-7 washes) to reduce non-specific binding
Include 0.05-0.1% Tween-20 in wash buffers to reduce hydrophobic interactions
Maintain consistent timing between wash steps for reproducible results
These optimization steps should be performed systematically, changing one variable at a time while maintaining appropriate controls .
For optimal reconstitution and dilution of SEMA4F Antibody, Biotin conjugated:
Lyophilized antibody reconstitution:
Briefly centrifuge the vial before opening to collect material at the bottom
Reconstitute using deionized water or manufacturer-recommended buffer
Allow complete dissolution by gentle rotation or inversion (avoid vortexing)
For long-term storage, aliquot reconstituted antibody to minimize freeze-thaw cycles
Working dilution preparation:
Use fresh, high-quality, and filter-sterilized buffers for dilutions
Recommended starting dilutions for biotin-conjugated antibodies:
Prepare dilutions immediately before use for optimal performance
Include stabilizing proteins (0.1-0.5% BSA) in dilution buffers for dilute working solutions
Buffer selection considerations:
Standard dilution buffer: PBS (pH 7.4) with 0.1% BSA
For reduced background: Include 0.05% Tween-20 in dilution buffer
For sensitive applications: Use specialized low cross-reactivity, biotin-free diluents
These protocols ensure maximal antibody activity and experimental reproducibility .
Research indicates significant alterations in SEMA4F expression in certain pathological conditions, particularly in neurological disorders and tumors. Studies have shown that SEMA4F is strongly downregulated in neurofibromas from NF1 patients compared to normal nerve tissue . Similarly, human MPNST-derived tumor cell lines show reduced SEMA4F expression compared to normal human Schwann cells .
To effectively study these expression changes:
Comparative analysis approaches:
Quantitative ELISA using SEMA4F Antibody, Biotin conjugated to measure protein levels across normal and pathological samples
Tissue microarray analysis to evaluate expression patterns across multiple patient samples
Correlation of expression levels with clinical parameters and disease progression
Experimental design considerations:
Include matched normal-pathological sample pairs whenever possible
Stratify samples by disease stage, grade, or genetic background
Normalize data to appropriate housekeeping proteins and include tissue-specific controls
Data interpretation framework:
Establish baseline expression ranges in normal tissues
Quantify fold-changes relative to controls
Correlate protein expression with functional readouts (e.g., cell adhesion, migration)
These approaches can yield insights into the potential role of SEMA4F in disease pathogenesis and its utility as a biomarker .
SEMA4F plays a critical role in mediating Schwann cell-axonal interactions in the peripheral nervous system . To investigate these interactions using SEMA4F Antibody, Biotin conjugated:
Co-culture experimental systems:
Establish Schwann cell-dorsal root ganglion (DRG) co-cultures
Apply biotin-conjugated SEMA4F antibody with fluorescent streptavidin detection
Use confocal microscopy to visualize SEMA4F localization at cell-cell interfaces
Functional interaction studies:
Combine antibody labeling with live-cell imaging to track dynamic interactions
Perform antibody blocking experiments to assess functional consequences of SEMA4F inhibition
Correlate SEMA4F localization with cellular alignment and myelination patterns
Analysis parameters:
Quantify co-localization coefficients between SEMA4F and axonal markers
Measure association and alignment indices between Schwann cells and axons
Assess changes in interaction dynamics following experimental manipulations
Studies have demonstrated that SEMA4F is localized to the Schwann cell plasma membrane and enriched at sites of axonal contact. Furthermore, SEMA4F expression is necessary for proper Schwann cell alignment with axons, as cells with downregulated SEMA4F show disrupted interactions . These experimental approaches can further elucidate the molecular mechanisms underlying these critical neural interactions.
Detecting SEMA4F in complex neural tissues presents several technical challenges:
Tissue complexity challenges:
High cellular heterogeneity in neural tissues
Presence of myelin and lipid-rich structures that can increase background
Potential masking of epitopes within dense cellular networks
SEMA4F-specific considerations:
Biotin-conjugate specific issues:
Endogenous biotin in neural tissues can increase background
Potential cross-reactivity with biotin-containing proteins
Signal amplification challenges in low-expression regions
Tissue preparation optimization:
Test multiple fixation protocols (4% PFA, methanol, acetone) to identify optimal epitope preservation
Employ antigen retrieval methods (citrate buffer, pH 6.0)
Use thinner tissue sections (5-10 μm) for better antibody penetration
Signal enhancement strategies:
Implement tyramide signal amplification (TSA) for low abundance detection
Use high-sensitivity streptavidin-conjugated detection systems
Employ sequential multiplexing approaches for co-localization studies
Background reduction techniques:
Apply stringent avidin/biotin blocking steps before antibody incubation
Include detergents (0.1-0.3% Triton X-100) in blocking buffers
Extend washing steps (6-8 washes) with gentle agitation
These approaches can substantially improve the signal-to-noise ratio when detecting SEMA4F in complex neural tissues, enabling more precise localization and quantification studies .
The SEMA4F protein has a calculated molecular weight of approximately 66 kDa based on its 615 amino acid sequence, but it is also frequently observed at 84 kDa in certain experimental systems . These variations require careful interpretation:
Potential causes of molecular weight variations:
Post-translational modifications (glycosylation, phosphorylation)
Tissue-specific processing or alternative splicing
Species-specific differences in protein modification
Experimental conditions affecting protein migration
Validation approaches:
Compare observed bands with recombinant protein standards
Perform peptide competition assays to confirm specificity of each band
Analyze samples under reducing and non-reducing conditions
Employ deglycosylation enzymes to assess contribution of glycosylation
Interpretation framework:
Document consistent patterns across experimental replicates
Compare observations with published literature
Consider tissue-specific or cell-type-specific expression patterns
Evaluate correlation between band intensity and functional outcomes
The molecular weight variations observed with SEMA4F antibodies likely reflect biologically relevant modifications of the protein rather than non-specific binding, as these patterns have been consistently observed across multiple studies and antibody preparations .
To rigorously validate the specificity of SEMA4F Antibody, Biotin conjugated:
Molecular validation approaches:
Peptide competition/blocking: Pre-incubate antibody with excess immunizing peptide
RNA interference: Compare detection in SEMA4F-knockdown versus control samples
Genetic knockout models: Test antibody in SEMA4F-null tissues/cells when available
Heterologous expression: Test detection in SEMA4F-transfected versus non-transfected cells
Technical validation strategies:
Cross-platform validation: Compare results between ELISA, Western blot, and immunostaining
Multiple antibody validation: Compare results with independent SEMA4F antibodies targeting different epitopes
Species cross-reactivity assessment: Test antibody performance across relevant species models
Experimental design considerations:
The combination of these approaches provides comprehensive validation of antibody specificity, ensuring reliable interpretation of experimental results .
For rigorous quantitative analysis of SEMA4F expression data from ELISA applications:
Standard curve optimization:
Use recombinant SEMA4F protein as standard
Prepare standards in the same matrix as experimental samples
Employ a minimum of 7-8 concentration points in duplicate or triplicate
Use four-parameter logistic regression for curve fitting
Data normalization strategies:
Normalize to total protein concentration for tissue/cell lysates
Use housekeeping proteins as internal references when appropriate
Consider sample-specific normalization factors for different tissue types
Statistical analysis framework:
Calculate coefficient of variation (CV) for technical replicates (<15% acceptable)
Determine limits of detection (LOD) and quantification (LOQ)
Apply appropriate statistical tests based on data distribution
Consider paired tests for matched normal/pathological samples
Comparative analysis approach:
Express results as fold-change relative to appropriate controls
Construct hierarchical clustering for pattern identification across sample groups
Correlate SEMA4F levels with other molecular or clinical parameters
Perform time-course analyses for developmental or intervention studies
This systematic approach to quantitative analysis enhances the reproducibility and interpretability of SEMA4F expression data across experimental conditions and sample types .
Researchers commonly encounter several technical challenges when working with SEMA4F Antibody, Biotin conjugated:
High background signal:
Possible causes: Endogenous biotin in samples, insufficient blocking, non-specific binding
Solutions:
Implement avidin/biotin blocking steps before antibody incubation
Use biotin-free blocking reagents
Increase washing steps (frequency and duration)
Optimize antibody dilution through titration experiments
Weak or absent signal:
Possible causes: Low SEMA4F expression, epitope masking, antibody degradation
Solutions:
Verify SEMA4F expression in your sample type with literature
Test multiple antigen retrieval methods
Check antibody storage conditions and date of receipt
Consider signal amplification systems (e.g., TSA)
Inconsistent results between replicates:
Possible causes: Pipetting errors, inconsistent tissue processing, antibody instability
Solutions:
Standardize all protocol steps with precise timing
Prepare master mixes to reduce pipetting variations
Process all comparative samples simultaneously
Aliquot antibody to avoid repeated freeze-thaw cycles
Cross-reactivity concerns:
Possible causes: Antibody binding to related semaphorin family proteins
Solutions:
Perform validation in SEMA4F-deficient control samples
Compare results with alternative SEMA4F antibodies
Include peptide competition controls
Systematic troubleshooting of these common issues can significantly improve experimental outcomes when working with SEMA4F Antibody, Biotin conjugated .
Endogenous biotin can significantly interfere with detection systems using biotin-conjugated antibodies, particularly in biotin-rich tissues such as brain, kidney, and liver:
Prevention strategies:
Avidin/biotin blocking: Apply unconjugated avidin followed by excess biotin before antibody incubation
Commercial blocking kits: Use specialized endogenous biotin blocking kits designed for immunoassays
Sample pretreatment: Consider mild oxidation of endogenous biotin in fixed tissues (0.01% hydrogen peroxide)
Alternative detection approaches:
Two-step detection: Use unconjugated primary SEMA4F antibody followed by biotinylated secondary and streptavidin
Non-biotin detection systems: Consider directly conjugated fluorescent antibodies for critical applications
Polymer-based detection: Employ polymer-conjugated detection systems that avoid biotin-streptavidin interaction
Experimental design considerations:
Tissue-specific controls: Include no-primary-antibody controls for each tissue type
Endogenous biotin mapping: Perform streptavidin-only controls to identify high-biotin regions
Cross-validation: Confirm key findings with non-biotin detection methods
These approaches can effectively mitigate the impact of endogenous biotin on experimental results, ensuring more reliable detection of SEMA4F protein .
Recent research has begun to elucidate the potential role of SEMA4F in neurological disorders and tumor biology:
Neurofibromatosis Type 1 (NF1) research:
SEMA4F is strongly downregulated in neurofibromas from NF1 patients compared to normal nerve tissue
SEMA4F Antibody is being used to investigate the molecular mechanisms underlying disrupted Schwann cell-axonal interactions in NF1
Comparative studies of SEMA4F expression in different NF1-associated tumor types provide insights into disease progression
Cancer biology applications:
SEMA4F is downregulated in human MPNST-derived tumor cell lines compared to normal Schwann cells
Researchers are investigating whether SEMA4F could serve as a potential biomarker for certain neural tumors
Studies are examining correlations between SEMA4F expression levels and tumor invasiveness or metastatic potential
Neurodevelopmental disorder research:
Given SEMA4F's role in neural development, researchers are exploring its potential involvement in neurodevelopmental disorders
SEMA4F Antibody is being used to map expression patterns across developmental timepoints in normal and disease models
Investigation of SEMA4F interactions with other guidance molecules may reveal novel therapeutic targets
These emerging applications highlight the potential of SEMA4F Antibody as a valuable tool for understanding the molecular basis of neurological disorders and tumor biology .
When incorporating SEMA4F Antibody, Biotin conjugated into multiplex detection systems:
Compatibility considerations:
Spectral overlap: Select fluorophore-conjugated streptavidins with minimal spectral overlap with other detection channels
Cross-reactivity: Test for potential cross-reactivity between multiple primary antibodies
Signal balance: Optimize dilutions to achieve balanced signal intensity across all targets
Sequential multiplex approaches:
Stripping and reprobing: Consider gentle elution buffers to remove antibodies between rounds
Permanent labeling: Use methods like tyramide signal amplification for sequential rounds
Multi-round imaging: Implement image registration algorithms for accurate co-localization analysis
Advanced multiplexing technologies:
Mass cytometry: Consider metal-tagged streptavidin for mass cytometry applications
Spectral imaging: Utilize spectral unmixing algorithms to separate overlapping signals
Proximity ligation: Combine with secondary proximity probes for detecting protein-protein interactions
Control and validation strategies:
Single-color controls: Prepare samples with each antibody alone to establish spectral profiles
Biological controls: Include samples with known co-expression or mutually exclusive expression patterns
Spillover matrices: Calculate and apply compensation matrices for fluorescent signals
These considerations enable robust multiplex detection of SEMA4F alongside other proteins of interest in complex biological samples .
Several promising future applications of SEMA4F Antibody, Biotin conjugated in neurodevelopmental research include:
High-resolution spatial mapping:
Super-resolution microscopy to map SEMA4F distribution at the nanoscale within growth cones and axonal guidance structures
Spatial transcriptomics combined with protein detection to correlate SEMA4F protein localization with local gene expression patterns
3D tissue clearing and whole-mount imaging to visualize SEMA4F distribution across intact neural circuits
Developmental dynamics investigations:
In vivo imaging using biotinylated antibody fragments to track SEMA4F expression in developing systems
Correlation of SEMA4F localization with dynamic cellular behaviors during critical developmental windows
Investigation of SEMA4F's role in activity-dependent neural circuit refinement and plasticity
Pathological model applications:
Comparative analysis of SEMA4F expression and localization in neurodevelopmental disorder models
Investigation of SEMA4F as a potential biomarker for early detection of neural pathologies
Assessment of therapeutic interventions targeting SEMA4F-mediated developmental pathways
These emerging applications could significantly advance our understanding of SEMA4F's role in neural development and related disorders .
Future technical advances likely to enhance the utility of SEMA4F Antibody, Biotin conjugated include:
Next-generation conjugation technologies:
Site-specific biotin conjugation to preserve antigen-binding capacity
Controllable biotin-to-antibody ratios for optimized detection sensitivity
Cleavable linker technologies for signal amplification with reduced background
Advanced detection platforms:
Single-molecule detection systems for quantifying low-abundance SEMA4F expression
Microfluidic-based detection platforms for automated, high-throughput analysis
Label-free detection systems utilizing surface plasmon resonance with biotinylated capture antibodies
Integration with emerging omics approaches:
Spatial proteomics combining SEMA4F antibody detection with mass spectrometry
Single-cell proteomics workflows incorporating SEMA4F detection
Multi-omic data integration frameworks correlating SEMA4F protein levels with transcriptomic and metabolomic profiles
AI-enhanced image analysis:
Deep learning algorithms for automated identification of SEMA4F-positive structures
Pattern recognition approaches for characterizing SEMA4F distribution in complex tissues
Predictive modeling of SEMA4F expression changes based on experimental interventions
These technological advances promise to expand the utility of SEMA4F Antibody, Biotin conjugated across diverse research applications, from basic neurodevelopmental studies to complex disease investigations .