KCNK15, also known as TASK-5, is a member of the superfamily of potassium channel proteins containing two pore-forming P domains. This protein has been identified in various human tissues including the adrenal gland, pancreas, liver, kidney, lung, ovary, testis, and heart . Although KCNK15 has not been shown to form functional channels independently, recent research suggests it may require other non-pore-forming proteins for activity or participate in heterodimeric channel formations with other TASK family members .
KCNK15 is particularly significant for research because:
It plays potential roles in various signaling pathways
It has been implicated in several pathological conditions including cancer
It forms heterodimers with other potassium channels, affecting their function and pharmacology
Its genetic polymorphisms may influence channel function and drug responses
For maximum stability and retention of immunoreactivity:
Avoid repeated freeze-thaw cycles as this can denature antibodies and reduce activity
Some manufacturers recommend aliquoting before freezing to minimize freeze-thaw cycles
When not in immediate use, protect from prolonged light exposure to prevent photobleaching of the FITC fluorophore
Some preparations contain preservatives (0.03% Proclin 300) and stabilizers (50% Glycerol, 0.01M PBS, pH 7.4)
Short-term storage at 2-8°C is acceptable for antibodies in active use, but long-term storage should be at -20°C .
Based on manufacturer specifications and research literature, KCNK15 Antibody, FITC conjugated has been validated for:
The FITC conjugation makes this antibody particularly suitable for flow cytometry and fluorescence microscopy applications that can directly utilize the fluorescent tag .
For optimal detection of KCNK15 expression by flow cytometry:
Protocol design:
Prepare single-cell suspensions (1×10^6 cells/100 μl) in flow cytometry buffer
For intracellular KCNK15 detection, use a fixation/permeabilization kit such as PerFix Expose kit
Surface marker staining: Include CD45 (pan-leukocyte marker) and CD14 (monocyte marker) for blood samples to distinguish cell populations
For intracellular staining:
Wash cells to remove unbound antibody
Analyze by flow cytometry with appropriate controls
Controls to include:
Unstained cells for autofluorescence assessment
Isotype control (FITC-conjugated rabbit IgG) to determine background binding
FMO (Fluorescence Minus One) controls if using multiple fluorochromes
Positive control (cell line known to express KCNK15, e.g., SKBR3)
Negative control (cell line with low/no KCNK15 expression, e.g., MDA-MB-231)
Gating strategy:
Select single cells on FSC-H vs. FSC-A plot
Identify viable cells on FSC-A vs. SSC-A plot
For blood samples, use CD45 vs. SSC plot to identify lymphocytes (CD45bright/SSClow), monocytes (CD45dim/SSCdim/CD14pos), and granulocytes (CD45dim/SSCbright)
Assess KCNK15-FITC signal in each population
Intracellular Detection:
Fixation and permeabilization are essential steps
More stringent washing may be needed to reduce background
Optimal fixative depends on epitope sensitivity (common options: 4% paraformaldehyde or methanol)
Buffer composition is critical for maintaining antibody-antigen interaction
Longer incubation times may be required for antibody penetration
Membrane Detection:
If KCNK15 is expressed on the cell surface, fixation without permeabilization can be used
Use gentler buffers to preserve membrane integrity
Consider non-enzymatic cell dissociation methods to preserve epitopes
May require pre-blocking with serum to reduce non-specific binding
Special considerations for KCNK15:
KCNK15 has been observed primarily in the cytoplasm rather than the nucleus based on immunofluorescence assays. Research in SKBR3 cells showed that KCNK15 signal overlapped with β-actin-FITC fluorescence rather than with nuclear DAPI signal, confirming its cytoplasmic localization . This suggests that protocols optimized for cytoplasmic protein detection would be most appropriate.
Recent research has revealed that KCNK15 (TASK-5) can form functional heterodimers with other K2P channels such as TASK-1 and TASK-3 . To study these heterodimeric formations:
Experimental approach:
Co-immunoprecipitation with differential labeling:
Use KCNK15 Antibody, FITC conjugated to pull down KCNK15
Probe for interacting partners with differently labeled antibodies (e.g., PE-conjugated anti-TASK-1)
Analyze by flow cytometry or fluorescence microscopy for co-localization
Functional studies with electrophysiology:
Express KCNK15 alone or with potential partners in expression systems
Use patch-clamp to assess channel function
Apply the FITC-conjugated antibody to visualize channel localization
Flow cytometry for heterodimer detection:
Stain cells with KCNK15 Antibody, FITC conjugated and partner antibodies with different fluorophores
Analyze co-expression patterns at single-cell level
Quantify correlation between expression levels
FRET analysis:
Use KCNK15 Antibody, FITC conjugated as donor
Use antibody against partner protein with compatible acceptor fluorophore
Measure energy transfer as indicator of protein proximity
Research considerations: The unique pharmacology of TASK-1/TASK-5 heterodimers, which can be affected by polymorphisms in KCNK15, should be taken into account when designing experiments to study these complexes .
For accurate quantification of KCNK15 expression:
Flow Cytometry-Based Quantification:
Calibration with standard beads:
Use FITC-calibrated beads to establish a standard curve
Convert fluorescence intensity to Molecules of Equivalent Soluble Fluorochrome (MESF)
Calculate the antibody binding capacity (ABC) per cell
Mean/Median Fluorescence Intensity (MFI):
Image-Based Quantification:
Immunofluorescence microscopy:
Capture images of cells stained with KCNK15 Antibody, FITC conjugated
Use image analysis software to measure intensity per cell
Include internal standards for normalization between experiments
High-content imaging:
Automated acquisition of multiple fields
Quantify intensity at subcellular resolution
Correlate with other cellular parameters
Methodology validation:
Always include positive controls (e.g., cells known to express high levels of KCNK15)
Include negative controls (e.g., isotype control antibody)
Consider using multiple detection methods for cross-validation
Research has shown that analyzing FITC mean fluorescence intensity (FMI) can effectively demonstrate protein expression levels in comparison studies .
KCNK15 has emerging roles in cancer biology, making it an important target for investigation:
Experimental approaches for cancer research:
Expression profiling in cancer subtypes:
Correlation with prognostic markers:
Functional studies in cancer cell models:
Patient sample analysis:
Methodological considerations:
Use multiple cancer cell lines to account for heterogeneity
Include appropriate controls for each cancer type
Standardize staining protocols to enable comparison between studies
Consider the subcellular localization of KCNK15 when designing experiments
Research has shown that KCTD15 silencing sensitizes HER2+ breast cancer cells to chemotherapeutic agents like doxorubicin, suggesting potential therapeutic implications .
Common challenges and solutions:
| Challenge | Potential Causes | Solutions |
|---|---|---|
| Low signal intensity | Insufficient antibody concentration | Titrate antibody to determine optimal concentration |
| Poor fixation/permeabilization | Optimize fixation time and buffer composition | |
| Low KCNK15 expression | Use positive control cells with known expression | |
| High background | Non-specific binding | Include blocking step with serum or BSA |
| Insufficient washing | Increase number and volume of washes | |
| Autofluorescence | Include unstained control and consider autofluorescence reduction techniques | |
| Spectral overlap | Other fluorophores in panel | Perform proper compensation; consider alternative panel design |
| Inconsistent results | Antibody degradation | Store properly; avoid freeze-thaw cycles |
| Variable fixation | Standardize fixation protocol | |
| Cell quality issues | Ensure high viability; use consistent cell processing |
Optimization strategies:
Titration experiments: Test serial dilutions of antibody to determine optimal signal-to-noise ratio
Time course analysis: Vary incubation times to maximize specific binding
Buffer optimization: Test different permeabilization reagents (e.g., saponin, Triton X-100)
Fixation method comparison: Test paraformaldehyde vs. methanol fixation
Alternative protocols: For intracellular staining, consider specialized kits like PerFix Expose kit used in research studies
Essential controls for rigorous research:
Antibody validation controls:
Flow cytometry-specific controls:
Unstained cells: For autofluorescence assessment
Single-color controls: For compensation setup
FMO (Fluorescence Minus One): To determine gating boundaries
viability dye: To exclude dead cells that can bind antibodies non-specifically
Immunofluorescence controls:
Secondary-only control: To assess background from secondary antibody (if using indirect detection)
Nuclear counterstain: To visualize cell structure (e.g., DAPI)
Known marker controls: Co-stain with markers of specific cell compartments
Western blot controls (for unconjugated variants):
Patient sample controls:
Normal tissue: Matched normal tissue for comparison
Panel of cell lines: With varying KCNK15 expression levels
Batch control: Standard sample run across experiments for normalization
Research studies have successfully used these controls, with research demonstrating that KCTD15 silencing can be effectively verified using flow cytometry with appropriate controls .
KCNK15 and related proteins like KCTD15 have been implicated in various disease states. Here's how researchers can use KCNK15 Antibody, FITC conjugated to investigate these relationships:
Cancer Research Applications:
Expression profiling:
Functional studies:
Cardiovascular Research Applications:
Channel heterodimer investigation:
Use KCNK15 Antibody, FITC conjugated to study association with other potassium channel proteins
Investigate the impact of KCNK15 polymorphisms on channel function
Recent research revealed TASK-5 (KCNK15) forms functional heterodimers with TASK-1 and TASK-3, potentially affecting cardiovascular function
Neurological Research Applications:
Expression in neural tissues:
Methodological approach:
Use multiparametric flow cytometry to correlate KCNK15 expression with disease markers
Combine with genetic analysis to associate polymorphisms with expression patterns
Implement co-localization studies to investigate protein interactions in disease contexts
When investigating KCNK15 variants:
Epitope considerations:
Antibody binding site: Confirm that the antibody's epitope is not affected by the polymorphism of interest
Immunogen mapping: Check if the antibody was raised against peptides containing regions of known polymorphisms (e.g., the TASK-5 G95E selectivity filter variant)
Validation with variant proteins: Test antibody reactivity against cells expressing known KCNK15 variants
Experimental design factors:
Quantitative detection: Use quantitative flow cytometry to detect subtle differences in expression levels between variants
Conformational changes: Consider that polymorphisms may alter protein folding, affecting antibody accessibility
Heterodimer detection: Design experiments to detect potential changes in heterodimer formation between KCNK15 variants and partner proteins
Technical approaches:
Combined genotype-phenotype analysis:
Genotype samples for KCNK15 polymorphisms
Use KCNK15 Antibody, FITC conjugated to quantify expression
Correlate genotype with expression patterns
Functional correlation:
Co-expression studies:
Investigate if polymorphisms alter co-localization with partner proteins
Use multicolor flow cytometry with antibodies against interaction partners
Research has shown that a single nucleotide polymorphism in KCNK15 leading to the selectivity filter variant TASK-5 G95E affects channel function in heterodimeric complexes, highlighting the importance of considering genetic variants in experimental design .
For cancer research applications, several methodological approaches with KCNK15 Antibody, FITC conjugated are recommended:
Cell line models:
Expression profiling across cell lines:
Knockdown/knockout validation:
Drug response studies:
Patient-derived models:
Flow cytometry of primary samples:
Patient-derived xenografts (PDX):
Experimental validation:
Include positive controls (cell lines with known high expression)
Use multiple detection methods for cross-validation
Consider subcellular localization (KCNK15 has been observed primarily in cytoplasm)
The methodological approach should match the specific cancer type being studied, as expression patterns vary significantly between cancer subtypes. For example, KCTD15 overexpression was found in Luminal A, Luminal B, and HER2+ breast cancer subtypes, with the highest expression in HER2+ samples .
Recent research has revealed that KCNK15 (TASK-5) forms functional heterodimers with TASK-1 and TASK-3 channels . Here's how to investigate these complexes:
Co-detection strategies:
Dual-color flow cytometry:
Use KCNK15 Antibody, FITC conjugated with differently labeled antibodies against TASK-1 or TASK-3
Quantify co-expression at single-cell resolution
Analyze correlation between expression levels
FRET-based approaches:
Use KCNK15 Antibody, FITC conjugated as donor
Label partner channel antibodies with compatible acceptor fluorophores
Measure energy transfer as indicator of protein proximity
Co-immunoprecipitation with flow detection:
Immunoprecipitate with anti-TASK-1 or anti-TASK-3
Detect KCNK15 in the precipitate using FITC-conjugated antibody
Quantify by flow cytometry
Expression systems:
Heterologous expression:
Native systems:
Identify tissues expressing multiple TASK family members
Use flow cytometry and FACS to isolate cells with different expression patterns
Correlate with functional properties
Functional correlation:
Electrophysiology with imaging:
Methods should account for the finding that KCNK15 negatively modulates the surface expression of TASK channels while creating heteromeric complexes with unique pharmacological properties .
For complex multi-parameter flow cytometry panels including KCNK15 Antibody, FITC conjugated:
Panel design considerations:
Fluorophore selection:
Antibody combinations:
Optimization protocols:
Titration matrix:
Titrate KCNK15 Antibody, FITC conjugated alongside other panel antibodies
Test for antibody interactions that may alter binding
Optimize signal-to-noise ratio for each marker
Compensation setup:
Prepare single-color controls for all fluorophores
Include unstained control for autofluorescence
Use compensation beads or cells with high target expression
Protocol refinement:
Standardize fixation and permeabilization for consistent results
Optimize incubation times and temperatures
Test buffer compositions to minimize background
Analysis approach:
Gating strategy:
Quantification methods:
Calculate MFI (mean fluorescence intensity) for KCNK15
Use ratio of KCNK15 to appropriate housekeeping protein
Consider using MESF (Molecules of Equivalent Soluble Fluorochrome) for standardization
Research studies have successfully implemented multi-parameter flow cytometry to analyze KCTD15 expression in conjunction with markers like CD45 and CD14 to identify specific cell populations .
KCNK15 and related proteins may play roles in drug resistance. Here's how to investigate this relationship:
Experimental approaches:
Resistance model development:
Time-course analysis:
Monitor KCNK15 expression changes during drug treatment
Track expression in surviving cells after treatment
Correlate with markers of resistance mechanisms
Combination therapy models:
Clinical sample correlation:
Compare KCNK15 expression in treatment-naive vs. post-treatment samples
Correlate with treatment response and patient outcomes
Use multiparameter flow cytometry for comprehensive phenotyping
Methodological considerations:
Intracellular versus surface expression:
Expression heterogeneity:
Analyze at single-cell level to detect resistant subpopulations
Track changes in expression distribution during treatment
Correlate with functional resistance markers
Mechanistic investigations:
Research has demonstrated that silencing KCTD15 (related to KCNK15) in HER2+ breast cancer cells significantly increased sensitivity to doxorubicin and trastuzumab, suggesting a role in treatment resistance that could be explored using KCNK15 antibodies .
For longitudinal studies tracking KCNK15 expression:
Experimental design considerations:
Antibody stability planning:
Internal controls for standardization:
Include standard samples in each experimental run
Use calibration beads to normalize fluorescence intensity
Maintain reference cell lines with stable KCNK15 expression
Include technical replicates for quality control
Instrument standardization:
Perform regular quality control with calibration beads
Document PMT voltages and instrument settings
Consider using automated compensation protocols
Maintain consistent laser output monitoring
Protocol consistency:
Sample processing standardization:
Document detailed protocols for all processing steps
Standardize time from collection to processing
Use consistent fixation and permeabilization reagents
Maintain uniform staining conditions (time, temperature, concentration)
Analysis pipeline consistency:
Establish fixed gating strategies at study start
Use template analysis protocols
Document any changes to analysis approach
Consider automated analysis for consistency
Special considerations for FITC:
Photobleaching prevention:
Protect samples from light during processing and storage
Minimize exposure time during acquisition
Consider acquisition order standardization (if multiple samples)
Compensation drift management:
Repeat compensation controls periodically
Monitor autofluorescence levels across timepoints
Consider alternative more stable fluorophores for very long studies
Research studies tracking protein expression longitudinally have successfully used standardized flow cytometry protocols with appropriate controls to ensure consistency across timepoints .
Imaging flow cytometry combines the quantitative power of flow cytometry with the spatial resolution of microscopy, making it ideal for studying KCNK15 localization:
Experimental approach:
Sample preparation:
Acquisition parameters:
Collect brightfield, FITC, and nuclear dye images
Use extended depth of field for improved resolution
Adjust magnification based on cell type
Collect sufficient cell numbers for statistical analysis (>10,000 events)
Analysis approaches:
Calculate similarity scores between KCNK15 and compartment markers
Measure distance from nucleus to quantify cytoplasmic distribution
Create masks for different cellular compartments
Apply co-localization algorithms for multiple markers
Applications:
Subcellular localization changes:
Heterogeneity analysis:
Identify subpopulations with distinct localization patterns
Correlate with functional markers
Track changes in distribution patterns over time
Co-localization studies:
Analyze KCNK15 localization with channel partners
Quantify association with trafficking machinery
Study interaction with signaling complexes
Technical considerations:
Optimize fixation to preserve subcellular structures
Include proper controls for autofluorescence and non-specific binding
Validate findings with conventional microscopy
Consider photobleaching during multi-channel acquisition
When studying KCNK15 in rare populations:
Enrichment strategies:
Pre-enrichment techniques:
Magnetic separation to concentrate target populations
Density gradient separation to remove abundant cell types
Negative selection to deplete unwanted cells
Include enrichment validation steps using known markers
Flow cytometry enrichment:
Use high-speed cell sorting to isolate rare populations
Implement two-step sorting for ultra-rare populations
Consider index sorting to link phenotype to subsequent analysis
Detection optimization:
Signal amplification:
Consider tyramide signal amplification if compatible with workflow
Use bright fluorochromes for rare population markers
Optimize antibody concentration through careful titration
Consider alternative brighter fluorochromes if FITC signal is insufficient
Background reduction:
Implement stringent blocking protocols
Include viability dye to exclude dead cells
Use Fc receptor blocking reagents
Optimize washing steps to reduce non-specific binding
Acquisition strategies:
Collect larger numbers of events (>1 million)
Implement acquisition gates to enrich for targets
Use slower flow rates for improved resolution
Consider acoustic focusing cytometers for improved sensitivity
Analysis approaches:
Boolean gating strategy:
Implement sequential gating to identify rare populations
Use FMO controls to set accurate gates
Consider automated clustering algorithms for unbiased detection
Validate findings with spike-in experiments
Rare event statistics:
Calculate confidence intervals for rare population frequencies
Include multiple replicates for statistical validation
Consider Poisson statistics for very rare events
Compare with orthogonal methods when possible
Research studies have successfully used multiparametric flow cytometry to identify and characterize specific cell populations expressing proteins of interest, with techniques optimized for detecting rare subsets .
Optimizing fixation and permeabilization is critical for accurate intracellular detection:
Fixation optimization:
Fixative selection:
Paraformaldehyde (1-4%): Preserves cell morphology; good for most applications
Methanol/acetone: Harsher but may improve accessibility of some epitopes
Gentle fixatives (0.5-1% PFA): For sensitive epitopes
Test multiple fixatives to determine optimal preservation of KCNK15 epitopes
Fixation parameters:
Time: Test 10-30 minutes at room temperature
Temperature: Compare room temperature vs. 4°C
Concentration: Titrate fixative concentration
Buffer composition: PBS vs. specialized fixation buffers
Permeabilization optimization:
Reagent selection:
Permeabilization parameters:
Duration: Test 5-30 minutes
Temperature: Compare room temperature vs. 4°C
Concentration: Titrate permeabilization agent
Sequential vs. simultaneous fixation and permeabilization
Protocol validation:
Positive controls:
Include cells known to express KCNK15
Use markers with known fixation requirements as internal controls
Test protocol with antibodies against proteins with similar localization
Comparison metrics:
Signal-to-noise ratio
Percentage of positive cells
Mean fluorescence intensity
Cell morphology preservation
Optimization matrix:
| Fixative | Permeabilization Agent | Incubation Time | Temperature | Results |
|---|---|---|---|---|
| 4% PFA | 0.1% Saponin | 20 min/10 min | RT/RT | Baseline |
| 2% PFA | 0.1% Saponin | 20 min/10 min | RT/RT | May improve epitope preservation |
| 4% PFA | 0.1% Triton X-100 | 20 min/10 min | RT/RT | May increase permeability |
| Methanol | None (methanol permeabilizes) | 10 min | -20°C | Alternative approach |
| Commercial kit (e.g., PerFix) | Included in kit | Per manufacturer | Per manufacturer | Standardized approach |