SESN1 is a member of the sestrin family, induced by the p53 tumor suppressor protein. It regulates cellular metabolism, oxidative stress, and apoptosis through:
AMP-activated protein kinase (AMPK) activation: SESN1 mediates AMPK phosphorylation, inhibiting mTOR signaling and promoting energy balance .
Oxidative stress defense: SESN1 regenerates peroxiredoxins, reducing reactive oxygen species (ROS) .
Leucine sensing: Acts as an intracellular leucine sensor, modulating TORC1 signaling via the GATOR complex .
| Pathway | Role of SESN1 | Key Interactions |
|---|---|---|
| AMPK/SIRT1/LOX1 | Attenuates oxidative stress and EndMT | Activates AMPK, suppresses LOX1 |
| TORC1 signaling | Negatively regulates TORC1 via GATOR2 | Binds GATOR2 in leucine absence |
| p53-dependent stress response | Induces SESN1 expression | p53 → SESN1 → AMPK activation |
The antibody is employed in diverse techniques to study SESN1’s role in cellular stress and disease:
Detection: SESN1 expression in lysates (e.g., HEK-293, HUVECs) .
Example: SESN1 overexpression in HUVECs reduces Ox-LDL-induced apoptosis, confirmed via WB .
Localization: SESN1 distribution in endothelial cells (e.g., CD31/α-SMA co-staining) .
Case Study: SESN1 overexpression mitigates Ox-LDL-induced EndMT by maintaining CD31 (endothelial marker) expression .
In oxidized low-density lipoprotein (Ox-LDL)-induced endothelial injury:
Mechanism: SESN1 overexpression activates AMPK/SIRT1, suppressing LOX1 (Ox-LDL receptor) .
Outcomes:
Mutant p53: Blocks SESN1/AMPK complex formation, impairing mitochondrial ROS detoxification .
Clinical Relevance: Reduced SESN1 correlates with poor prognosis in chronic lymphocytic leukemia (CLL) .
SESN1 (Sestrin 1) functions as a tumor suppressor gene that plays crucial roles in multiple cellular processes. Recent research has demonstrated that SESN1 acts via the Toll-like receptor (TLR) signaling pathway, particularly in neuroblastoma where it shows significant tumor-suppressive properties . Using FITC-conjugated antibodies to detect SESN1 enables researchers to visualize its cellular localization and quantify expression levels using fluorescence-based techniques such as flow cytometry, immunohistochemistry, and immunofluorescence microscopy.
The importance of studying SESN1 with labeled antibodies is underscored by findings showing that low expression of SESN1 correlates with poor prognosis in neuroblastoma patients, suggesting its potential value as a biomarker . Additionally, the regulation of SESN1 by MYCN in neuroblastoma cells indicates its involvement in critical cancer-related pathways that warrant detailed investigation using sensitive detection methods.
SESN1 antibodies conjugated to FITC function through specific binding of the antibody portion to SESN1 protein epitopes (such as amino acids 224-337 in commonly available products), while the attached FITC fluorophore emits green fluorescence when excited by appropriate wavelength light . This allows for:
Direct visualization of SESN1 expression in fixed cells or tissue sections
Quantification of SESN1 levels via flow cytometry
Co-localization studies with other cellular components using multi-color fluorescence imaging
The FITC conjugation eliminates the need for secondary antibodies in detection protocols, streamlining experimental procedures and reducing background signal. The antibody preparation typically includes stabilizers like glycerol (50%) and preservatives such as ProClin (0.03%) to maintain functionality during storage .
For optimal flow cytometry results with SESN1-FITC conjugated antibodies, researchers should follow this methodological approach:
Cell Preparation:
Harvest cells (1-5×10⁶) and wash twice with PBS containing 1% BSA
Fix cells with 4% paraformaldehyde for 10-15 minutes at room temperature if intracellular staining is required
Permeabilize with 0.1% Triton X-100 in PBS for 5-10 minutes
Antibody Staining:
Block with 5% normal serum from the same species as the secondary antibody for 30 minutes
Incubate with SESN1-FITC antibody at appropriate dilution (typically 1:50-1:200) for 30-60 minutes at room temperature in the dark
Wash 3 times with PBS containing 1% BSA
Flow Cytometry Analysis:
Set appropriate gates based on forward/side scatter characteristics
Use 488 nm laser for excitation and 530/30 nm filter for detection of FITC signal
Include appropriate negative controls (isotype control-FITC) and positive controls
For quantitative analysis, calculating the mean fluorescence intensity (MFI) provides a measure of SESN1 expression levels, which can be particularly valuable when comparing different cell types or experimental conditions in neuroblastoma research .
Optimizing immunofluorescence protocols with SESN1-FITC antibodies requires careful attention to several technical parameters:
Sample Preparation:
Fix cells with 4% paraformaldehyde for 15 minutes at room temperature
Permeabilize with 0.2% Triton X-100 for 10 minutes
Block with 5% normal serum and 1% BSA in PBS for 1 hour
Antibody Incubation:
Dilute SESN1-FITC antibody in blocking buffer (1:50-1:200 dilution)
Incubate overnight at 4°C in a humidified chamber protected from light
Wash 3×5 minutes with PBS
Counterstaining and Mounting:
Counterstain nuclei with DAPI (1 μg/mL) for 5 minutes
Mount using anti-fade mounting medium
Seal edges with nail polish for long-term storage
Controls and Validation:
Researchers should conduct preliminary titration experiments to determine the optimal antibody concentration that provides specific signal with minimal background, especially when studying SESN1's role in tumor suppression pathways.
SESN1-FITC antibodies enable sophisticated analysis of SESN1's tumor suppression functions through several advanced applications:
Co-localization Studies:
Combine SESN1-FITC antibody with other fluorescently-labeled antibodies against TLR pathway components or MyD88 to investigate protein interactions
Analyze co-localization using confocal microscopy and quantitative image analysis
Calculate Pearson's correlation coefficient to quantify the degree of co-localization
Expression Analysis in Patient Samples:
Use SESN1-FITC antibodies for flow cytometry or immunohistochemistry to assess expression levels in neuroblastoma patient samples
Correlate expression with clinical outcomes and MYCN amplification status
Establish cutoff values for prognostic significance
Mechanistic Investigations:
Monitor SESN1 expression changes after manipulation of MYCN levels in neuroblastoma cells
Track SESN1 localization during cell migration and invasion processes
Evaluate changes in SESN1 expression in response to TLR pathway modulation
Research has shown that knockdown of SESN1 promotes neuroblastoma cell proliferation, migration, and invasion, while overexpression produces opposite effects . FITC-conjugated antibodies provide a sensitive tool for visualization and quantification of these processes in both in vitro and in vivo experimental systems.
Validating the specificity of SESN1-FITC antibody staining is crucial for reliable research results. Researchers should implement multiple validation approaches:
Genetic Validation:
Peptide Competition Assay:
Cross-Validation with Multiple Antibodies:
Compare staining patterns using different SESN1 antibodies targeting distinct epitopes
Check concordance between SESN1-FITC results and those obtained with unconjugated antibodies followed by secondary detection
Correlation with mRNA Expression:
Perform parallel analysis of SESN1 mRNA levels using RT-qPCR
Compare protein detection patterns with transcriptional profiles
Calculate correlation coefficients between protein and mRNA expression data
These validation approaches ensure that observed fluorescence signals genuinely represent SESN1 expression patterns rather than non-specific binding or artifacts.
The fluorescence-to-protein (F/P) ratio is a critical parameter for FITC-conjugated antibodies that affects performance and interpretation of results:
Factors affecting F/P ratio:
Conjugation Chemistry:
The reaction time between FITC and antibody proteins
Buffer pH during conjugation (optimal at pH 9.0-9.5)
FITC-to-protein molar ratio in the reaction mixture
Temperature during conjugation process
Impact on Experimental Results:
Low F/P ratio: Insufficient signal intensity, leading to false negatives
Optimal F/P ratio: Typically 3-8 FITC molecules per antibody for balanced signal and function
High F/P ratio: Potential for self-quenching, altered antibody binding properties, increased non-specific binding
Determination and Optimization:
To determine the F/P ratio of SESN1-FITC conjugates, researchers can use spectrophotometric methods as outlined in the FluoroTag FITC Conjugation Kit protocol :
Measure absorbance at 280 nm (A₂₈₀) and 495 nm (A₄₉₅)
Calculate F/P ratio using the formula:
F/P = [A₄₉₅ × dilution factor] ÷ [A₂₈₀ - (0.35 × A₄₉₅)] × 2.87
For optimal experimental results with SESN1-FITC antibodies, validation with different lots and standardization of detection protocols based on the specific F/P ratio is recommended.
Optimizing signal-to-noise ratio is essential for accurate detection of SESN1 using FITC-conjugated antibodies:
Sources of Background:
Non-specific antibody binding
Autofluorescence from cells/tissues
Insufficient washing
Inadequate blocking
FITC photobleaching
Methodological Approaches for Optimization:
Blocking Optimization:
Use 5-10% serum from the same species as the secondary antibody
Add 0.1-0.3% Triton X-100 for membrane permeabilization
Include 1-5% BSA to reduce non-specific protein interactions
Antibody Dilution Optimization:
Perform titration experiments with serial dilutions (1:50, 1:100, 1:200, 1:500)
Select concentration that maximizes specific signal while minimizing background
Washing Procedures:
Increase number of washes (minimum 3×5 minutes)
Add 0.05-0.1% Tween-20 to wash buffers
Ensure complete buffer removal between washes
Autofluorescence Reduction:
Treat samples with 0.1-1% sodium borohydride before antibody incubation
For tissue sections, use Sudan Black B (0.1-0.3% in 70% ethanol) after antibody staining
Photobleaching Prevention:
Minimize exposure to light during all procedures
Use anti-fade mounting media containing anti-photobleaching agents
Store slides at 4°C in the dark
By implementing these methodological approaches, researchers can significantly improve the detection of SESN1 using FITC-conjugated antibodies, particularly in complex experimental systems studying tumor suppressor functions in neuroblastoma and other cancers.
Integrating SESN1-FITC antibody data with functional studies requires systematic experimental design and data analysis:
Methodological Framework:
Parallel Analysis Approach:
Conduct SESN1-FITC immunofluorescence or flow cytometry on the same cell populations used for functional assays
Design experiments to manipulate SESN1 expression (overexpression/knockdown) and measure consequences using both detection and functional methods
Maintain identical experimental conditions across detection and functional studies
Correlation Analysis Methods:
Quantify SESN1 expression levels (mean fluorescence intensity)
Measure functional outcomes (proliferation, migration, invasion rates)
Calculate Pearson's or Spearman's correlation coefficients between expression and functional data
Perform regression analysis to establish quantitative relationships
Data Integration Table Example:
| Experimental Condition | SESN1-FITC Signal (MFI) | Proliferation Rate (% of control) | Migration Rate (% of control) | Invasion Rate (% of control) |
|---|---|---|---|---|
| Control siRNA | 100.0 ± 8.5 | 100.0 ± 5.2 | 100.0 ± 6.3 | 100.0 ± 7.1 |
| SESN1 siRNA-1 | 23.4 ± 4.2 | 178.6 ± 12.7 | 156.3 ± 9.8 | 165.2 ± 11.3 |
| SESN1 siRNA-2 | 18.7 ± 3.8 | 185.2 ± 14.3 | 162.8 ± 10.5 | 172.6 ± 12.7 |
| SESN1 Overexpression | 312.6 ± 25.4 | 58.3 ± 8.9 | 62.1 ± 7.4 | 55.8 ± 6.9 |
Research has demonstrated that SESN1 knockdown promotes neuroblastoma cell proliferation, migration, and invasion, while overexpression has opposite effects . By correlating these functional outcomes with quantitative SESN1-FITC fluorescence data, researchers can establish threshold expression levels associated with tumor suppression activity.
Advanced imaging and analytical techniques significantly expand the research applications of SESN1-FITC antibodies:
Super-Resolution Microscopy:
Structured Illumination Microscopy (SIM) provides 2-fold resolution improvement
Stimulated Emission Depletion (STED) microscopy achieves resolution down to 50 nm
Single Molecule Localization Microscopy (SMLM) enables precise localization of individual SESN1 proteins
Applications: Analyzing subcellular distribution and potential protein clustering of SESN1
Live-Cell Imaging Strategies:
Combine SESN1-FITC antibody fragments with cell-penetrating peptides for live intracellular imaging
Time-lapse microscopy to track dynamic changes in SESN1 localization
FRAP (Fluorescence Recovery After Photobleaching) to study SESN1 mobility
Multiplexed Imaging Approaches:
Spectral unmixing to combine SESN1-FITC with other fluorescent probes
Mass cytometry (CyTOF) using metal-tagged antibodies against SESN1 and other proteins
Multiplex immunohistochemistry for simultaneous detection of SESN1 and TLR pathway components
Applications: Investigating SESN1's role in immune microenvironment regulation
Computational Analysis Methods:
Machine learning algorithms for automated quantification of SESN1 expression patterns
3D reconstruction of SESN1 distribution from confocal z-stacks
Spatial statistics to analyze co-localization with TLR pathway components
Correlative Microscopy:
CLEM (Correlative Light and Electron Microscopy) to combine SESN1-FITC fluorescence with ultrastructural context
Application: Precise localization of SESN1 relative to subcellular organelles and structures
These advanced techniques enable researchers to address complex questions about SESN1's function in tumor suppression, particularly its interactions with the TLR signaling pathway and role in modulating the immune microenvironment in cancer contexts.
SESN1-FITC antibodies offer valuable tools for investigating SESN1's emerging role in immune regulation:
Methodological Approaches:
Multiplex Flow Cytometry:
Combine SESN1-FITC with antibodies against immune cell markers
Analyze SESN1 expression across different immune cell populations
Correlate with activation status markers
Spatial Profiling in Tumor Microenvironment:
Perform multiplex immunofluorescence with SESN1-FITC and immune cell markers
Map spatial relationships between SESN1-expressing cells and tumor-infiltrating lymphocytes
Quantify distances and cell-cell interactions
Ex Vivo Immune Cell Co-culture Systems:
Track SESN1 expression changes during immune cell interactions with cancer cells
Monitor dynamic changes using live-cell imaging with SESN1-FITC antibodies or fragments
Research Context and Significance:
Recent studies have demonstrated that high expression of SESN1 is significantly associated with a higher immune score in neuroblastoma, indicating an active immune microenvironment . This suggests SESN1 may influence anti-tumor immune responses, potentially through the TLR signaling pathway which is known to bridge innate and adaptive immunity.
The CIBERSORT algorithm analysis of neuroblastoma samples has shown different immune cell infiltration patterns between high and low SESN1-expressing tumors, with potential implications for immunotherapy responsiveness . SESN1-FITC antibodies provide a valuable tool for further investigating these relationships at the cellular and molecular level.
SESN1-FITC antibodies can contribute to therapeutic development through several research applications:
Biomarker Development:
Screen patient-derived xenografts (PDXs) for SESN1 expression using FITC-conjugated antibodies
Correlate expression with response to targeted therapies and immunotherapies
Develop flow cytometry-based diagnostic assays for patient stratification
Target Validation Studies:
Use SESN1-FITC antibodies to monitor expression changes in response to candidate drugs
Track subcellular localization changes during drug treatment
Identify compounds that modulate SESN1 expression or function
Combination Therapy Research:
Investigate interactions between SESN1 and immune checkpoint pathways
Given SESN1's connection to "PD-L1 expression and PD-1 checkpoint pathway in cancer" , FITC-conjugated antibodies can help visualize dynamic interactions
Screen for synergistic effects between SESN1-modulating compounds and immunotherapies
Drug Delivery Development:
Engineer SESN1 antibody-drug conjugates (ADCs) for targeted therapy
Use FITC-conjugated versions to track binding, internalization, and intracellular trafficking
Optimize drug delivery to SESN1-expressing or SESN1-deficient tumor cells
The therapeutic potential of targeting SESN1 is particularly promising in neuroblastoma, where SESN1 functions as a tumor suppressor via the MyD88-dependent TLR signaling pathway . FITC-conjugated antibodies provide essential tools for advancing these therapeutic approaches from discovery to preclinical development.
Proper storage and handling of SESN1-FITC antibodies is crucial for maintaining their performance in research applications:
Storage Conditions:
Temperature:
Store at 2-8°C (short-term, up to 1 month)
For long-term storage, aliquot and keep at -20°C
Avoid repeated freeze-thaw cycles (limit to <5)
Light Protection:
Store in amber or foil-wrapped tubes
Minimize exposure to light during all handling steps
Keep in dark during storage to prevent photobleaching of FITC
Buffer Conditions:
Handling Best Practices:
Working Dilution Preparation:
Prepare fresh working dilutions on the day of experiment
Use high-quality, filtered buffers
Centrifuge antibody solution briefly before use (10,000g for 2 minutes)
Transportation:
Transport on ice and protected from light
For shipping, use insulated containers with cold packs
Include temperature monitors for quality assurance
Quality Control:
Test fluorescence intensity periodically
Perform functionality tests before critical experiments
Keep records of antibody performance over time
Stability Indicators:
Monitor for color changes (darkening of solution)
Check for precipitates before use
Test on control samples to verify performance
Following these storage and handling practices will help maintain the optimal performance of SESN1-FITC antibodies throughout their shelf life.
Troubleshooting guidance for common issues with SESN1-FITC antibodies:
| Possible Causes | Troubleshooting Approaches |
|---|---|
| Insufficient antibody concentration | Increase antibody concentration; perform titration experiments |
| FITC degradation due to light exposure | Use fresh aliquot; minimize light exposure during all steps |
| Inadequate antigen retrieval | Optimize antigen retrieval methods (heat-induced or enzymatic) |
| Low SESN1 expression | Use positive control samples with known expression; consider signal amplification systems |
| Improper filter settings | Verify excitation (488 nm) and emission (520 nm) filter settings |
| Possible Causes | Troubleshooting Approaches |
|---|---|
| Insufficient blocking | Increase blocking time (2 hours); try different blocking agents (BSA, normal serum) |
| Excessive antibody concentration | Reduce antibody concentration; perform titration experiments |
| Inadequate washing | Increase wash steps (5×5 minutes); add 0.05-0.1% Tween-20 to wash buffer |
| Non-specific binding | Pre-adsorb antibody with tissue powder; increase BSA concentration in diluent |
| Sample autofluorescence | Use autofluorescence quenching reagents; implement spectral unmixing |
| Possible Causes | Troubleshooting Approaches |
|---|---|
| Antibody degradation | Check storage conditions; prepare fresh working dilutions |
| Sample variability | Standardize sample preparation protocols; include positive and negative controls |
| Protocol variations | Document all steps precisely; maintain consistent timing |
| Lot-to-lot variation | Test new lots against old lots on same samples; maintain reference standards |
| Equipment variability | Calibrate instruments regularly; use standard samples to normalize between experiments |
| Possible Causes | Troubleshooting Approaches |
|---|---|
| Fixation artifacts | Compare different fixation methods (PFA, methanol, acetone) |
| Permeabilization issues | Optimize permeabilization conditions (detergent type, concentration, time) |
| Antibody specificity | Validate with knockdown/knockout controls; perform peptide competition assays |
| Cell/tissue processing | Minimize time between collection and fixation; optimize processing protocols |
| Physiological state of cells | Standardize cell culture conditions; control for cell cycle phase |