Tenascin R (TNR), also known as Restrictin or Janusin, is a neural extracellular matrix (ECM) protein that belongs to the tenascin family. It plays crucial roles in neural tissue through interactions with different cells and matrix components. These interactions can significantly influence cellular behavior by either promoting stable adhesion and differentiation or causing repulsion and inhibition of neurite growth. TNR functions by binding to cell surface gangliosides, which can inhibit RGD-dependent integrin-mediated cell adhesion and result in inhibition of PTK2 (FAK) phosphorylation . The protein has a calculated molecular weight of approximately 150 kDa but is typically observed at 160-180 kDa in experimental contexts, likely due to post-translational modifications .
FITC-conjugated TNR antibodies are immunological reagents where fluorescein isothiocyanate (FITC) has been chemically linked to antibodies that specifically recognize Tenascin R. This fluorescent conjugation enables direct visualization of TNR in various experimental techniques. These antibodies are primarily used for immunofluorescent staining in applications such as flow cytometry, immunohistochemistry (IHC), and immunocytochemistry (ICC). They allow researchers to identify and enumerate TNR-expressing cells within mixed cell populations . Based on available reagents, FITC-conjugated anti-TNR antibodies targeting the amino acid sequence 1231-1319 of the human TNR protein are commercially available .
TNR antibodies exhibit various cross-reactivity profiles depending on their specific epitope targets. Based on the available data, certain TNR antibodies demonstrate reactivity across multiple species:
Human-reactive TNR antibodies are widely available, with applications in ELISA, IHC, and western blotting
Rodent-reactive antibodies (mouse and rat) are common, particularly for neural tissue studies
Some antibodies show broader cross-reactivity profiles, including chicken and cow samples
When selecting a TNR antibody for research, it's essential to verify the specific reactivity profile for your species of interest, as epitope conservation varies across evolutionary lineages.
For multicolor flow cytometric analyses using FITC-conjugated TNR antibodies, several critical parameters must be optimized:
Antibody Titration: FITC-conjugated antibodies should be carefully titrated, typically using ≤0.5 μg mAb per million cells to determine the optimal concentration that maximizes signal-to-noise ratio . Titration curves are essential to avoid both inadequate staining and excessive background.
Compensation Controls: When used in multicolor panels, single-stained controls with the FITC-conjugated antibody are necessary for accurate compensation, as FITC has significant spectral overlap with other fluorochromes like PE.
Instrument Settings: Proper instrument settings for FITC detection require excitation at 488 nm and emission detection around 525 nm. Voltage adjustments should be optimized to place positive populations within the detector's linear range .
Controls: Incorporating appropriate controls is crucial, including:
Cell Preparation: For intracellular TNR detection, optimal fixation and permeabilization methods typically involve paraformaldehyde fixation followed by saponin permeabilization .
TNR antibodies serve as powerful tools for investigating the neural extracellular matrix because of TNR's specialized functions in neural development and maintenance. Research applications include:
Cell-Matrix Interaction Studies: TNR antibodies can help visualize and quantify TNR's interactions with cellular components and other matrix molecules, providing insight into mechanisms of neuronal adhesion, repulsion, and guidance .
Neural Development Research: By tracking TNR expression patterns during development, researchers can investigate how this protein influences the formation of neural circuits and structures.
Pathological Investigations: TNR antibodies allow researchers to examine alterations in TNR expression or localization in neurological disorders or injury models, potentially revealing mechanisms of neural dysfunction.
Functional Studies: TNR antibodies can be used in neutralization experiments to block TNR function, helping to elucidate its role in processes such as neurite outgrowth inhibition and synaptic plasticity.
Receptor Identification: Through co-immunoprecipitation or proximity ligation assays, TNR antibodies can help identify receptors or binding partners that mediate TNR's effects on neural cells.
When conducting immunohistochemical analysis of TNR in human brain tissue, several technical considerations are essential:
Antigen Retrieval: For optimal TNR detection in formalin-fixed, paraffin-embedded human brain tissue, antigen retrieval with TE buffer at pH 9.0 is recommended, though citrate buffer at pH 6.0 may be used as an alternative .
Antibody Dilution: Appropriate antibody dilution ranges for TNR immunohistochemistry typically fall between 1:20 and 1:200, requiring optimization for specific tissue preparation methods and antibody lots .
Controls and Validation: Positive controls should include human brain tissue known to express TNR, while negative controls should involve either antibody omission or isotype-matched control antibodies. Multiple antibodies targeting different TNR epitopes can provide validation of staining patterns.
Signal Amplification: When studying TNR in tissues with lower expression levels, signal amplification systems such as tyramide signal amplification may be necessary.
Co-localization Studies: Combining TNR immunostaining with markers for specific cell types or subcellular structures can provide valuable functional insights. For FITC-conjugated antibodies, consideration of autofluorescence quenching methods may be necessary, particularly in aged human brain tissue.
A standardized protocol for immunofluorescence staining with FITC-conjugated TNR antibodies includes:
Sample Preparation:
For cell cultures: Fix cells with 4% paraformaldehyde for 15 minutes at room temperature
For tissue sections: Use freshly frozen or properly fixed and processed tissue sections (4-10 μm thickness)
Blocking and Permeabilization:
Permeabilize with 0.1-0.3% Triton X-100 in PBS for 10 minutes
Block with 5-10% normal serum (from the species of the secondary antibody) and 1% BSA in PBS for 1 hour
Primary Antibody Incubation:
Washing:
Wash 3-5 times with PBS, 5 minutes each wash
Counterstaining:
Counterstain nuclei with DAPI (1 μg/ml) for 5 minutes
Mounting:
Mount with anti-fade mounting medium to minimize photobleaching
Imaging:
A comprehensive control strategy for experiments using FITC-conjugated TNR antibodies should include:
Isotype Controls:
Blocking Controls:
Autofluorescence Controls:
Include unstained samples to assess natural tissue autofluorescence
Consider using autofluorescence quenching reagents when working with tissues known to have high autofluorescence (e.g., brain tissue)
Positive Controls:
Negative Controls:
Include samples known not to express TNR
Omit primary antibody while maintaining all other steps of the protocol
Optimizing western blotting for TNR detection requires several specific considerations:
Sample Preparation:
Human brain tissue or TNR-expressing cell lines like SH-SY5Y are appropriate positive controls
Use protein extraction buffers containing protease inhibitors to prevent degradation
Due to TNR's high molecular weight (observed at 160-180 kDa), use lower percentage gels (6-8% acrylamide) for better resolution
Gel Electrophoresis and Transfer:
For large proteins like TNR, extended transfer times or specialized transfer conditions may be necessary
Consider semi-dry or wet transfer systems with modified buffers for high molecular weight proteins
Antibody Dilution and Incubation:
Detection System:
For FITC-conjugated TNR antibodies in western blotting, fluorescence imaging systems are required
For non-conjugated antibodies, standard HRP-conjugated secondary antibodies with chemiluminescent detection work well
Expected Results:
When faced with weak signals using FITC-conjugated TNR antibodies, researchers should consider these troubleshooting approaches:
Antibody Concentration Optimization:
Sample Preparation Improvements:
Signal Amplification Methods:
Consider tyramide signal amplification (TSA) for immunohistochemistry
For flow cytometry, examine alternative fluorophores with higher quantum yields than FITC
Reducing Background Interference:
Use proper blocking reagents (5-10% serum plus 1% BSA)
Include detergents in wash buffers to reduce non-specific binding
For tissues with high autofluorescence, consider quenching treatments or switching to non-fluorescent detection methods
Storage and Handling:
To effectively incorporate FITC-conjugated TNR antibodies in multicolor immunofluorescence:
Spectral Considerations:
Plan fluorophore combinations carefully to minimize spectral overlap
FITC (excitation ~495 nm, emission ~520 nm) has significant overlap with other green fluorophores
Panel Design:
Pair FITC with fluorophores in distinctly different channels (e.g., DAPI for nuclei, Cy5 or Alexa 647 for other markers)
When studying TNR in relation to other neural markers, consider this sample panel design:
FITC-conjugated TNR antibody
Alexa 647-conjugated antibody for neuronal markers
DAPI for nuclear counterstain
Sequential Staining Approach:
For complex tissues or when antibody species conflicts exist, use sequential staining protocols
Apply FITC-conjugated antibodies later in the sequence to minimize exposure to washing steps
Imaging Optimization:
Capture FITC channel early in the imaging sequence to minimize photobleaching
Use appropriate exposure settings to balance signal intensity against photobleaching
Analysis Considerations:
Apply spectral unmixing algorithms if significant bleed-through occurs
Establish careful thresholding based on control samples
A proposed staining panel for neural tissue based on published methods would include:
TNR antibodies serve distinct purposes across different experimental platforms:
In Flow Cytometry:
FITC-conjugated TNR antibodies allow quantitative analysis of TNR expression levels across cell populations
For optimal flow cytometric analysis, FITC-conjugated antibodies should be carefully titrated (≤0.5 μg per million cells)
Flow cytometric applications are particularly useful for examining TNR expression in neural precursor cells or in experimental models of neural development
Cell preparation typically involves fixation and permeabilization protocols, as TNR may have both surface and intracellular epitopes
In Microscopy:
Immunohistochemistry with TNR antibodies reveals the spatial distribution of TNR within tissue architecture, essential for understanding its role in the neural extracellular matrix
For immunohistochemistry, recommended dilutions range from 1:20 to 1:200, depending on the specific antibody and tissue preparation
Immunocytochemistry applications (typically at 1:500 dilution) allow visualization of TNR in cultured cells, enabling studies of its cellular localization and trafficking
Microscopy techniques can be combined with other markers to examine TNR's relationships with cellular structures and other extracellular matrix components
Selecting the appropriate TNR antibody epitope is critical for experimental success:
Functional Domains:
Species Conservation:
Epitope conservation varies across species; some TNR regions show higher conservation between humans and rodents
For cross-species studies, selecting antibodies against highly conserved regions is advantageous
Available antibodies demonstrate reactivity across human, rat, mouse, chicken, and cow samples
Accessibility in Native Protein:
Application Compatibility:
When designing experiments, researchers should select epitopes that align with their specific research questions and technical requirements.
Effective experimental design for TNR studies should consider:
Model Selection:
Temporal Considerations:
TNR expression varies during development and in response to neural injury or disease
Time-course studies are essential to capture dynamic changes
Functional Approaches:
Loss-of-function studies using TNR knockdown or knockout models
Gain-of-function approaches through TNR overexpression
Blocking studies using anti-TNR antibodies to neutralize specific functions
Analytical Methods:
Combine multiple techniques (immunohistochemistry, western blotting, and functional assays)
Quantitative analysis of TNR expression using image analysis software for immunohistochemistry or flow cytometry
Co-localization studies with other neural markers to establish cellular context
Validation Strategies:
Use multiple antibodies targeting different TNR epitopes
Incorporate molecular techniques (RT-PCR, RNA sequencing) to confirm expression patterns
For rigorous quantification of TNR expression using immunofluorescence:
Image Acquisition Standards:
Consistent exposure settings across experimental groups
Multiple representative fields per sample (minimum 5-10)
Z-stack imaging for tissue sections to capture the full signal distribution
Preprocessing Steps:
Background subtraction based on negative control samples
Thresholding to distinguish specific signal from background
For FITC-labeled samples, autofluorescence correction may be necessary
Quantification Metrics:
Mean fluorescence intensity within regions of interest
Area of positive staining as a percentage of total tissue area
Co-localization coefficients (Pearson's or Mander's) when examining TNR in relation to other markers
Statistical Analysis:
Normality testing before selecting parametric or non-parametric tests
Use of appropriate statistical tests based on experimental design (t-tests, ANOVA, or non-parametric alternatives)
Report both effect sizes and p-values for comprehensive interpretation
Visualization Methods:
Box plots or violin plots for distribution data
Representative images alongside quantitative results
Heat maps for spatial distribution analysis
Using these approaches ensures reproducible and statistically sound quantification of TNR expression patterns in complex neural tissues.