SPTBN1 (Spectrin Beta Non-Erythrocytic 1) is a cytoskeletal protein critical for maintaining cell shape, adhesion, and migration. Its role as a tumor suppressor in hepatocellular carcinoma (HCC), renal cell carcinoma (ccRCC), and rheumatoid arthritis (RA) has been well-documented . The SPTBN1 Antibody, FITC conjugated is a fluorescently labeled immunoglobulin designed to detect SPTBN1 protein in research applications, enabling visualization via fluorescence microscopy or flow cytometry. FITC (fluorescein isothiocyanate) conjugation enhances sensitivity and specificity in assays requiring single or multi-color detection.
Hepatocellular Carcinoma (HCC): SPTBN1 inhibits NF-κB-driven inflammation and tumor progression by stabilizing SOCS1 . FITC-conjugated antibodies could localize SPTBN1 in hepatocytes or cancer cells, correlating expression with clinical outcomes (e.g., relapse-free survival) .
Renal Cell Carcinoma (ccRCC): Low SPTBN1 expression correlates with advanced tumor stages and metastasis . Fluorescent detection could map SPTBN1 loss in ccRCC tissues.
Rheumatoid Arthritis (RA): SPTBN1 suppresses synovial fibroblast proliferation and IL-6/IL-1β secretion via PIK3R2 interaction . FITC-labeled antibodies may visualize SPTBN1 in RA synovial cells to study disease mechanisms.
HIV-1 Macrophage Infection: SPTBN1 interacts with HIV-1 Gag proteins (CA p24, MA p17) . FITC conjugation could track SPTBN1-Gag colocalization in infected macrophages.
HCC: Reduced SPTBN1/SOCS1 levels predict poor survival . FITC-based assays might enable rapid screening for low SPTBN1 expression in biopsies.
ccRCC: Low SPTBN1 expression correlates with advanced T/N/M stages . Fluorescent detection could stratify patients for targeted therapies.
RA Therapies: Overexpression of SPTBN1 reduces inflammation and fibroblast migration . FITC-conjugated antibodies could monitor SPTBN1 levels during treatment.
Dilution: Titrate antibody in-house (1:100–1:500 for IF; 1:1000–1:3000 for WB) .
Controls: Use non-specific IgG-FITC for background subtraction.
Compatibility: Ensure compatibility with secondary antibodies or fluorophores in multi-color experiments.
SPTBN1 (spectrin, beta, non-erythrocytic 1) is a non-erythrocytic form of β-spectrin, also known as β-fodrin. It belongs to the superfamily of F-actin cross-linking proteins with a calculated molecular weight of 275 kDa . SPTBN1 plays crucial roles in multiple biological processes and disease states.
Research has demonstrated that SPTBN1 suppresses tumor progression through multiple mechanisms, including regulation of Wnt signaling through its control of Kallistatin (a Wnt inhibitor), modulation of E-cadherin expression, and influencing stem cell phenotypes in liver tissue . Beyond liver cancer, SPTBN1 has been implicated in attenuating rheumatoid arthritis synovial cell proliferation, invasion, migration, and inflammatory responses by binding to PIK3R2 and suppressing the PI3K/AKT signaling pathway .
Unconjugated SPTBN1 antibodies, such as the 19722-1-AP product, are supplied without any fluorescent or enzymatic labels attached to the antibody molecule . These require secondary antibody detection systems in applications like Western blotting, immunohistochemistry, and immunofluorescence.
FITC (fluorescein isothiocyanate)-conjugated SPTBN1 antibodies, in contrast, have the fluorescent dye FITC directly attached to the antibody molecule. This direct conjugation offers several methodological advantages:
It eliminates the need for secondary antibodies in fluorescence-based applications
Reduces background by decreasing the number of steps in staining protocols
Enables direct visualization in applications such as flow cytometry, immunofluorescence microscopy, and fluorescence-activated cell sorting (FACS)
Allows for multiplexing with other antibodies conjugated to different fluorophores
FITC-conjugated antibodies emit green fluorescence at approximately 525 nm when excited with light at 490 nm, making them compatible with standard fluorescence microscopy filter sets and flow cytometry instrumentation.
Based on available research data, SPTBN1 antibodies have been validated for multiple applications with specific recommended dilution ranges for optimal results:
| Application | Recommended Dilution | Notes |
|---|---|---|
| Western Blot (WB) | 1:500-1:1000 | Detects SPTBN1 at approximately 275 kDa |
| Immunoprecipitation (IP) | 0.5-4.0 μg per 1.0-3.0 mg protein lysate | Successfully tested in HEK-293 cells |
| Immunohistochemistry (IHC) | 1:50-1:500 | Optimal with TE buffer pH 9.0 for antigen retrieval |
| Immunofluorescence (IF) | Variable (see publications) | Cited in multiple research papers |
| ELISA | Application-dependent | Requires optimization |
For FITC-conjugated SPTBN1 antibodies specifically, dilutions may need to be optimized depending on the fluorescence intensity of the conjugate and the application. Generally, fluorophore-conjugated antibodies may require different dilutions than their unconjugated counterparts due to potential effects of conjugation on antibody binding efficiency and fluorescence yield.
Note that these recommendations serve as starting points, and each experimental system requires titration for optimal results .
SPTBN1 has been successfully detected in multiple tissues and cell types using appropriate antibodies:
| Technique | Successfully Detected In |
|---|---|
| Western Blot | Mouse brain tissue, mouse kidney tissue, mouse lung tissue |
| Immunoprecipitation | HEK-293 cells |
| Immunohistochemistry | Human liver cancer tissue, human lung tissue, human kidney tissue, human pancreas cancer tissue, human normal colon |
Research has demonstrated reactivity with human, mouse, and rat samples, making SPTBN1 antibodies versatile tools for comparative studies across species . The broad tissue distribution reflects SPTBN1's importance in maintaining cellular architecture and signaling in multiple organ systems.
In cancer research specifically, SPTBN1 expression has been studied in hepatocellular carcinoma, gastric cancer, and lung cancer tissues, where significant reductions in expression are frequently observed .
When optimizing FITC-conjugated SPTBN1 antibodies for flow cytometry and cell sorting, researchers should consider several methodological approaches:
Titration optimization: Perform a dilution series (typically 0.1-10 μg/ml) to determine the optimal antibody concentration that maximizes specific signal while minimizing background. Plot the signal-to-noise ratio against antibody concentration to identify the optimal point.
Permeabilization protocol selection: Since SPTBN1 is primarily an intracellular protein, effective permeabilization is crucial. Compare different permeabilization methods:
Saponin (0.1-0.5%) for gentle permeabilization
Triton X-100 (0.1-0.5%) for more thorough permeabilization
Methanol-based fixation/permeabilization for certain epitopes
Blocking optimization: Test different blocking reagents (BSA, normal serum, commercial blocking solutions) to minimize non-specific binding.
Compensation controls: Create single-color controls for accurate compensation when multiplexing with other fluorophores.
Gating strategy development: Design gating strategies incorporating forward/side scatter profiles and viability dyes before examining SPTBN1 expression.
Research has shown that FACS analysis can successfully identify and quantify EpCAM-positive cells in SPTBN1+/− mouse livers compared to wild-type controls, demonstrating the utility of flow cytometry in SPTBN1-related research . In these studies, the number of EpCAM-positive cells doubled in SPTBN1+/− mouse liver compared to wild-type controls, highlighting the relationship between SPTBN1 expression and stem cell marker expression.
SPTBN1 suppresses cancer progression through multiple interconnected mechanisms that can be effectively studied using antibody-based techniques:
Wnt signaling regulation: SPTBN1 regulates the Wnt inhibitor Kallistatin, influencing β-catenin phosphorylation and nuclear localization . FITC-conjugated SPTBN1 antibodies can be used in conjunction with antibodies against β-catenin to perform dual immunofluorescence studies that visualize the subcellular localization of these proteins in cancer cells.
E-cadherin/EMT modulation: Loss of SPTBN1 decreases E-cadherin expression while increasing vimentin, promoting epithelial-to-mesenchymal transition (EMT) . Multiplex immunofluorescence with FITC-conjugated SPTBN1 antibodies alongside E-cadherin and vimentin markers can help visualize this relationship.
Stem cell trait regulation: SPTBN1+/− mice have increased EpCAM-positive liver cells, suggesting a role in regulating stem cell populations . Flow cytometry using FITC-conjugated SPTBN1 antibodies combined with stem cell markers can quantify this relationship in various experimental models.
PI3K/AKT pathway inhibition: In rheumatoid arthritis research, SPTBN1 has been shown to bind PIK3R2, inhibiting the PI3K/AKT signaling pathway . Co-immunoprecipitation studies using SPTBN1 antibodies can help identify additional binding partners involved in this signaling cascade.
Research has demonstrated that HCC cells with decreased SPTBN1 show reduced Kallistatin expression, decreased β-catenin phosphorylation, and increased β-catenin nuclear localization . Antibody-based techniques have been instrumental in establishing that restoration of Kallistatin expression reverses the observed Wnt activation, providing mechanistic insights into SPTBN1's tumor-suppressive functions.
Validating antibody specificity is crucial for reliable research outcomes. For FITC-conjugated SPTBN1 antibodies, consider these methodological approaches:
Genetic knockdown/knockout controls: Use SPTBN1 siRNA knockdown or CRISPR/Cas9 knockout cells alongside wild-type cells to confirm signal specificity. Loss of signal in knockdown/knockout samples provides strong evidence of antibody specificity.
Peptide competition assays: Pre-incubate the antibody with excess immunizing peptide before staining to block specific binding sites. Comparison of blocked versus unblocked antibody staining can reveal non-specific binding.
Isotype controls: Use FITC-conjugated isotype-matched immunoglobulins that have no relevant specificity to establish background fluorescence levels.
Cross-validation with multiple antibodies: Compare staining patterns between different antibody clones targeting distinct SPTBN1 epitopes.
Correlation with orthogonal methods: Compare protein detection by FITC-conjugated antibodies with mRNA expression data from RT-qPCR or RNA-seq to ensure concordance between protein and transcript levels.
Western blot confirmation: Verify that the antibody detects a single band of appropriate molecular weight (275 kDa for SPTBN1) in the same samples used for fluorescence applications.
In published research, SPTBN1 expression has been validated using multiple techniques. For example, studies have shown consistent results between mRNA and protein levels of SPTBN1 in mouse liver tissues, with SPTBN1+/− mice showing approximately half the expression level compared to wild-type controls .
FITC-conjugated SPTBN1 antibodies offer powerful tools for investigating the relationship between SPTBN1 and Wnt signaling in cancer contexts:
Co-localization studies: Perform dual immunofluorescence with FITC-conjugated SPTBN1 antibodies and red-fluorescent antibodies against Wnt pathway components (e.g., β-catenin, LRP6, Wnt3a). This allows visualization of potential spatial relationships between SPTBN1 and these proteins within the same cells.
Pathway activation dynamics: Use time-course experiments with Wnt stimulation to track changes in SPTBN1 localization and expression levels using FITC-conjugated antibodies, potentially revealing dynamic regulatory relationships.
Sorted cell population analysis: Use FACS with FITC-conjugated SPTBN1 antibodies to isolate cells with varying SPTBN1 expression levels, then analyze these populations for differential expression of Wnt pathway components.
3D culture systems: Employ FITC-conjugated SPTBN1 antibodies in 3D organoid cultures that better recapitulate tumor environments to visualize SPTBN1 and Wnt pathway markers in more physiologically relevant contexts.
Research has established that SPTBN1+/− mouse livers exhibit significantly increased mRNA levels of several Wnt-related genes, including LRP6, Wnt3a, and Wnt10a, which play critical roles in HCC pathogenesis . Furthermore, the positive correlation between SPTBN1 and Kallistatin expression in human HCC tissues suggests a mechanistic relationship that can be further explored using fluorescence-based techniques.
When working with FITC-conjugated SPTBN1 antibodies, researchers may encounter several technical challenges that require specific troubleshooting approaches:
Photobleaching: FITC is relatively prone to photobleaching compared to other fluorophores.
Solution: Use anti-fade mounting media, minimize exposure to light during preparation, and consider using newer generation fluorophores like Alexa Fluor 488 for critical applications requiring extended imaging.
pH sensitivity: FITC fluorescence is sensitive to pH changes, with optimal emission at pH 8.0.
Solution: Maintain consistent buffer pH during staining and imaging procedures. Consider using buffered mounting media specifically formulated for fluorescence preservation.
Autofluorescence: Tissues like liver (where SPTBN1 is commonly studied) often exhibit significant green autofluorescence.
Solution: Include unstained controls for each tissue type, use spectral imaging systems when available, and consider Sudan Black B treatment (0.1-0.3%) to reduce autofluorescence.
Fixation artifacts: Overfixation can mask SPTBN1 epitopes and alter subcellular localization.
Solution: Compare multiple fixation methods (paraformaldehyde, methanol, acetone) and durations to optimize protocol for your specific application.
Specificity confirmation: Ensuring signals represent true SPTBN1 distribution rather than non-specific binding.
Solution: Always include appropriate controls including isotype controls, peptide competition controls, and when possible, SPTBN1 knockdown/knockout samples.
Researchers studying SPTBN1 in liver tissues should be particularly attentive to autofluorescence issues, as studies have shown significant autofluorescence in this tissue type that can confound interpretation of green fluorescent signals.
Quantitative analysis of SPTBN1 expression using FITC-conjugated antibodies requires rigorous methodological approaches:
Flow cytometry quantification:
Use standardized protocols with consistent voltage settings
Include fluorescence calibration beads to convert arbitrary units to molecules of equivalent fluorochrome (MEF)
Report median fluorescence intensity (MFI) and percent positive cells
Consider using stimulation index (ratio of sample MFI to control MFI) for comparisons across experiments
Image-based quantification:
Acquire images with identical exposure settings for all samples
Perform background subtraction using adjacent negative areas
Use thresholding algorithms to define positive staining
Quantify parameters such as:
Mean fluorescence intensity per cell
Integrated density (product of area and mean intensity)
Nuclear/cytoplasmic ratio of signal intensity
Subcellular distribution analysis:
Use nuclear counterstains to define cellular compartments
Employ specialized software (ImageJ, CellProfiler) to create masks of cellular compartments
Calculate the percentage of SPTBN1 signal in each compartment
Statistical considerations:
Use appropriate statistical tests based on data distribution
Report both biological and technical replicates
Consider normalization to housekeeping proteins for Western blot quantification
Published research has successfully used flow cytometry to quantify EpCAM-positive cells in SPTBN1+/− and wild-type mouse liver, demonstrating that quantitative approaches can reveal significant biological differences in SPTBN1-related research .
Designing effective multiple immunofluorescence protocols with FITC-conjugated SPTBN1 antibodies requires careful planning:
Fluorophore selection and spectral separation:
Pair FITC (green) with fluorophores having minimal spectral overlap like Cy3 (red) or Cy5 (far-red)
If using confocal microscopy, optimize detection channels to minimize bleed-through
Consider sequential scanning approaches for closely overlapping fluorophores
Antibody compatibility:
Ensure primary antibodies are raised in different host species to avoid cross-reactivity
When using antibodies from the same species, consider direct conjugation or specialized blocking steps
Test each antibody individually before combining to ensure performance isn't compromised
Optimization of fixation and antigen retrieval:
Controls for multiple immunostaining:
Include single-stained controls for each fluorophore
Use isotype controls for each primary antibody
Include absorption controls where feasible
Order of application:
For directly conjugated antibodies, consider sequential application to avoid steric hindrance
When one antigen is significantly less abundant, apply that antibody first
Research applications might include dual staining for SPTBN1 and β-catenin to study their relationship in Wnt signaling, or SPTBN1 with E-cadherin or vimentin to investigate EMT processes in cancer contexts .
SPTBN1 shows significant potential as a prognostic biomarker in multiple cancer types, particularly hepatocellular carcinoma. Research indicates that decreased SPTBN1 expression correlates with decreased relapse-free survival in HCC patients . FITC-conjugated SPTBN1 antibodies can facilitate translational research in several ways:
Tissue microarray analysis:
Develop standardized immunofluorescence protocols for SPTBN1 detection in tissue microarrays
Establish quantitative scoring systems based on staining intensity and distribution
Correlate SPTBN1 expression patterns with clinical outcomes and other prognostic factors
Circulating tumor cell (CTC) detection:
Use FITC-conjugated SPTBN1 antibodies in multiparameter flow cytometry panels to characterize CTCs
Investigate whether SPTBN1 expression in CTCs correlates with disease progression or treatment response
Liquid biopsy approaches:
Develop assays to detect SPTBN1 protein in extracellular vesicles using FITC-conjugated antibodies
Correlate SPTBN1 levels with disease status and clinical outcomes
Multimarker prognostic panels:
Combine SPTBN1 with other markers (e.g., E-cadherin, Kallistatin) to develop comprehensive prognostic signatures
Use machine learning approaches to identify optimal marker combinations
Clinical relevance is supported by data showing that SPTBN1 gene expression is positively and significantly correlated with E-cadherin and Kallistatin gene expression in both HCV-induced and HBV-induced HCC. Furthermore, decreased levels of SPTBN1 and SERPINA4 (the gene encoding Kallistatin) genes are significantly correlated with decreased relapse-free survival (p<0.001 and p=0.0193 respectively) .
Recent research has revealed SPTBN1's role in attenuating rheumatoid arthritis synovial cell proliferation, invasion, migration, and inflammatory response by binding to PIK3R2 . When studying this role using fluorescence-based techniques, researchers should consider:
Sample preparation from synovial tissue:
Fresh synovial biopsies require gentle processing to maintain cell viability
Optimize digestion protocols (e.g., collagenase concentration, incubation time) to isolate fibroblast-like synoviocytes (FLS) while preserving SPTBN1 epitopes
Consider cryopreservation methods that maintain antigen integrity
Co-visualization of SPTBN1 and interacting partners:
Design dual immunofluorescence protocols to visualize SPTBN1 and PIK3R2 co-localization
Include markers for specific cell populations (CD68 for macrophages, CD3 for T cells)
Quantify co-localization coefficients (e.g., Pearson's correlation coefficient, Manders' overlap coefficient)
Functional assays with fluorescence readouts:
Use FITC-conjugated SPTBN1 antibodies in combination with functional assays that measure:
Cell proliferation (EdU incorporation)
Apoptosis (TUNEL assay)
Migration (wound healing with live cell imaging)
Invasion (fluorescence-based transwell assays)
Inflammatory response assessment:
Combine SPTBN1 detection with fluorescence-based cytokine assays
Consider multiplex systems that allow simultaneous detection of multiple inflammatory mediators
Research has shown that SPTBN1 overexpression represses the proliferation, migration, invasion, and inflammation of rheumatoid arthritis fibroblast-like synoviocytes (RA-FLSs) while promoting apoptosis . These effects were mediated through interaction with PIK3R2 and suppression of the PI3K/AKT signaling pathway, providing a potential therapeutic target for RA treatment.
The interaction between SPTBN1 and the PI3K/AKT pathway, particularly through PIK3R2 binding, represents a critical area for investigation in both cancer and rheumatoid arthritis research . FITC-conjugated SPTBN1 antibodies can be employed in several experimental approaches:
Proximity ligation assays (PLA):
Combine FITC-conjugated SPTBN1 antibodies with antibodies against PI3K/AKT pathway components
PLA technology generates fluorescent signals only when proteins are in close proximity (<40nm)
Quantify interaction events per cell and analyze their subcellular distribution
FRET (Förster Resonance Energy Transfer) analysis:
Design FRET pairs using FITC-conjugated SPTBN1 antibodies and red-shifted fluorophore-conjugated antibodies against pathway components
Measure energy transfer efficiency as an indicator of protein-protein interactions
Perform acceptor photobleaching to confirm FRET signals
Live cell imaging with pathway activation:
Use cell-permeable FITC-conjugated SPTBN1 antibody fragments
Stimulate cells with growth factors to activate PI3K/AKT pathway
Track dynamic changes in protein localization and interaction
Fluorescence-based signaling readouts:
Combine SPTBN1 detection with phospho-specific antibodies against AKT, PI3K
Quantify changes in phosphorylation status following SPTBN1 manipulation
Use ratiometric approaches to normalize signals
Research has demonstrated that PIK3R2 interference increases the levels of phosphorylated PI3K and AKT in SPTBN1-overexpressing cells, suggesting that SPTBN1 represses the PI3K/AKT signaling pathway via interaction with PIK3R2 . These findings highlight the importance of studying the spatial and temporal dynamics of these interactions using advanced fluorescence techniques.
As technology advances, several emerging techniques show promise for enhancing SPTBN1 research using fluorescence-based approaches:
Super-resolution microscopy:
Techniques like STORM, PALM, or STED can overcome the diffraction limit
Enable visualization of SPTBN1 distribution at nanoscale resolution (20-50 nm)
Allow precise localization relative to cytoskeletal components and signaling platforms
Expansion microscopy:
Physical expansion of specimens using hydrogel technology
Can achieve 4-10x physical expansion, effectively improving resolution
Particularly valuable for densely packed cellular structures where SPTBN1 may function
Lattice light-sheet microscopy:
Enables rapid 3D imaging with minimal photobleaching
Ideal for tracking dynamic SPTBN1 interactions in living cells
Can reveal previously undetectable transient interactions
Mass cytometry (CyTOF) with conjugated antibodies:
Metal-tagged rather than fluorophore-tagged antibodies
Eliminates spectral overlap issues in highly multiplexed assays
Enables simultaneous detection of 40+ markers including SPTBN1 and related pathway components
Spatial transcriptomics integration:
Combine FITC-conjugated SPTBN1 antibody staining with spatial transcriptomics
Correlate protein expression with local transcriptional programs
Reveal tissue microenvironments where SPTBN1 function is particularly important
These advanced techniques could yield deeper insights into SPTBN1's role in cancer progression, Wnt signaling regulation, and inflammatory responses in rheumatoid arthritis, potentially identifying new therapeutic targets or diagnostic approaches.
Single-cell analysis represents a powerful frontier for SPTBN1 research, particularly in heterogeneous diseases like cancer and rheumatoid arthritis:
Single-cell proteomics:
Use FITC-conjugated SPTBN1 antibodies in flow cytometry-based single-cell western blot systems
Identify rare cell populations with distinct SPTBN1 expression patterns
Correlate SPTBN1 levels with other protein markers at single-cell resolution
CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing):
Combine FITC-conjugated SPTBN1 antibody detection with single-cell RNA sequencing
Correlate SPTBN1 protein levels with transcriptional programs in individual cells
Identify cellular states where SPTBN1 regulation may be particularly important
Microfluidic approaches:
Isolate single cells based on SPTBN1 expression using fluorescence-activated cell sorting
Perform single-cell secretome analysis to correlate SPTBN1 levels with inflammatory mediator production
Study clonal growth properties of cells with varying SPTBN1 expression
Spatial single-cell analysis:
Use FITC-conjugated SPTBN1 antibodies in multiplexed ion beam imaging (MIBI) or imaging mass cytometry
Preserve spatial context while achieving single-cell resolution
Map SPTBN1 expression in relation to tissue architecture and cellular neighborhoods
Research has already demonstrated heterogeneity in SPTBN1 expression within tissues, such as the increased number of EpCAM-positive cells in SPTBN1+/− mouse livers compared to wild-type controls . Single-cell approaches could further dissect this heterogeneity and its functional consequences in disease progression and treatment response.
Research using SPTBN1 antibodies has revealed several potential therapeutic targets and strategies:
Wnt pathway modulation:
PI3K/AKT pathway targeting:
EMT reversal strategies:
Biomarker-guided therapy:
Translational research could utilize FITC-conjugated SPTBN1 antibodies to monitor target engagement and pathway modulation in preclinical models and potentially in clinical samples. The development of companion diagnostics based on SPTBN1 and related biomarkers could ultimately guide personalized therapeutic strategies in both cancer and inflammatory diseases.