STK36 is a serine/threonine protein kinase that plays a crucial role in the sonic hedgehog (Shh) pathway by regulating the activity of GLI transcription factors. It controls the activity of transcriptional regulators GLI1, GLI2, and GLI3 by opposing the effect of SUFU and promoting their nuclear localization. STK36 is also essential for postnatal development, potentially by regulating the homeostasis of cerebral spinal fluid or ciliary function. Recent research has identified its involvement in cancer progression, particularly in prostate cancer where it promotes epithelial-mesenchymal transition (EMT) .
When selecting an STK36 antibody, consider these critical factors:
Target epitope specificity: Different antibodies target distinct regions of STK36 (N-terminal, C-terminal, or internal regions). For instance, antibodies targeting amino acids 250-450 may be optimal for detecting full-length protein, while those targeting the N-terminus (AA 21-120) might be better for identifying specific isoforms .
Application compatibility: Verify the antibody has been validated for your specific application:
Species reactivity: Confirm cross-reactivity with your experimental model (human, mouse, rat) .
Clonality consideration: Polyclonal antibodies offer broader epitope recognition but may have batch variation; monoclonal antibodies provide greater specificity and reproducibility .
Protein loading should be optimized at approximately 20μg per lane in SDS-PAGE, as used in validated protocols .
Expected banding patterns may vary based on:
For normalization, GAPDH (36 kDa) is commonly used as a loading control at 1:1000 dilution .
Most validated STK36 antibodies show minimal non-specific binding when used at recommended concentrations.
STK36 has been implicated in promoting epithelial-mesenchymal transition (EMT), particularly in prostate cancer. To investigate this relationship:
Design a comprehensive protein expression analysis panel including:
Implement parallel experimental approaches:
Western blot for protein level quantification
Immunofluorescence for subcellular localization
IHC for tissue distribution patterns
Design functional experiments through STK36 manipulation:
Overexpression studies to observe EMT marker changes
Knockdown/silencing experiments to confirm reversibility of EMT phenotype
Treatment with pathway inhibitors to determine mechanism
Research has demonstrated that STK36 upregulation in prostate cancer cells results in decreased E-Cadherin expression and increased Vimentin expression, confirming its role in EMT promotion .
To investigate STK36's involvement in docetaxel resistance, implement this methodological framework:
Cell model development:
Functional assessment through STK36 manipulation:
Overexpress STK36 in sensitive cells and test if this confers resistance
Silence STK36 in resistant cells to determine if sensitivity is restored
Design combination treatments with docetaxel and potential STK36 inhibitors
Resistance mechanisms evaluation:
Research has demonstrated that STK36 overexpression significantly promotes proliferation, invasion, and migration of prostate cancer cells and compensates for the suppression caused by docetaxel treatment in vitro. Additionally, STK36 overexpression inhibits docetaxel-induced apoptosis, suggesting its direct role in treatment resistance .
For rigorous IHC analysis with STK36 antibodies in clinical samples, incorporate these essential controls:
Technical controls:
Positive tissue control: Use prostate cancer tissues known to express high STK36 levels
Negative tissue control: Include adjacent normal prostate tissue with low STK36 expression
Antibody controls:
Primary antibody omission control
Isotype control (matched IgG at equivalent concentration)
Peptide competition/blocking control
Analytical approach:
Implement digital scanning at high resolution (0.5 mm/pixel using systems like T3 ScanScope)
Establish clear scoring criteria (≥5% area positivity is typically considered positive)
For tissue microarrays, average scores from multiple cores (typically three) from each patient sample
Use streptavidin-horseradish peroxidase complex (1:2000 dilution) for detection
Validation through correlation:
To investigate STK36's function in the Sonic Hedgehog (Shh) pathway:
Protein-protein interaction studies:
Co-immunoprecipitation (Co-IP) using STK36 antibodies to identify interactions with:
GLI transcription factors (GLI1, GLI2, GLI3)
SUFU (Suppressor of Fused)
Other pathway components
Proximity ligation assay (PLA) to visualize in situ interactions
Functional analysis of nuclear localization:
Immunofluorescence with STK36 antibodies combined with GLI antibodies to assess co-localization
Nuclear/cytoplasmic fractionation followed by Western blot to quantify STK36-dependent GLI nuclear translocation
Signaling pathway activation assessment:
Evaluate downstream target gene expression following STK36 manipulation
Determine if STK36's effect on GLI factors requires its kinase activity by using kinase-dead mutants
Research shows that STK36 controls the activity of transcriptional regulators GLI1, GLI2, and GLI3 by opposing the effect of SUFU and promoting their nuclear localization. Interestingly, GLI2 requires an additional function of STK36 to become transcriptionally active, but the enzyme does not need to possess an active kinase catalytic site for this to occur .
To evaluate STK36 as a therapeutic target, implement this comprehensive experimental design:
| Database | STK36 expression in tumor vs normal | Statistical significance |
|---|---|---|
| GSE46602 | Increased in tumor | Significant (p<0.05) |
| GSE21032 | Increased in tumor | Significant (p<0.05) |
| TCGA | Increased in tumor | Significant (p<0.05) |
To study STK36's involvement in ciliary development and function:
Model systems selection:
Primary ciliated cells (e.g., respiratory epithelial cells)
Multi-ciliated cells (e.g., ependymal cells lining ventricles)
Developmental models (zebrafish, mouse embryos)
Structural analysis techniques:
Immunofluorescence co-localization of STK36 with ciliary markers:
Acetylated α-tubulin (axoneme)
γ-tubulin (basal bodies)
Centrin (centrioles)
Super-resolution microscopy to precisely localize STK36 within ciliary structures
Electron microscopy to examine central pair apparatus ultrastructure
Functional assessment:
High-speed video microscopy to analyze ciliary beat frequency following STK36 manipulation
Flow-based measurements of mucociliary clearance
Cerebrospinal fluid dynamics in STK36-deficient models
Research indicates that STK36 is essential for construction of the central pair apparatus of motile cilia and may regulate the homeostasis of cerebral spinal fluid through its effects on ciliary function .
When working with STK36 antibodies, researchers frequently encounter these challenges:
Background signal issues:
Detection sensitivity challenges:
Antibody specificity concerns:
Validate with positive and negative control samples
Perform peptide competition assays
Compare results with multiple antibodies targeting different epitopes of STK36
Quantification accuracy:
To confirm STK36 antibody specificity, implement this multi-level validation strategy:
Expression modulation validation:
Compare antibody signal in systems with:
STK36 overexpression (verify increased signal)
STK36 knockdown/knockout (verify decreased/absent signal)
Confirm changes via orthogonal methods (e.g., mRNA quantification)
Cross-platform verification:
Compare results across multiple detection methods:
Western blot (for protein size verification)
IHC/IF (for localization patterns)
Flow cytometry (for quantitative assessment)
Epitope-specific validation:
Test multiple antibodies targeting different regions of STK36
Conduct epitope mapping or peptide competition assays
For critical findings, confirm with antibodies from different manufacturers/clones
Bioinformatic cross-checking:
Verify antibody recognizes conserved regions across species when using in different models
Check for potential cross-reactivity with homologous proteins
When investigating both protein expression and functional roles of STK36:
Protein detection optimization:
Functional assay design:
Data integration approaches:
Correlate protein expression levels with functional outcomes
Implement rescue experiments to confirm specificity of effects
Use pathway inhibitors to dissect mechanistic relationships
Interpretation considerations:
Account for cell type-specific functions of STK36
Consider potential scaffolding vs. enzymatic roles
Distinguish between direct and indirect effects
When facing discrepancies between STK36 expression data and functional results:
Technical evaluation:
Verify antibody specificity across different applications
Assess whether antibodies detect all relevant isoforms
Consider post-translational modifications that might affect function without changing total protein levels
Biological complexity considerations:
STK36 may have kinase-dependent and independent functions
Context-dependent roles in different cellular compartments
Potential compensation by related kinases
Methodological approach:
Implement domain-specific mutations to dissect functional regions
Use phospho-specific antibodies to assess activation status
Conduct temporal studies to identify dynamic changes
Resolution strategies:
Single-cell analysis to identify heterogeneous responses
Pathway-focused approaches to place contradictions in context
Combinatorial inhibition/activation to test redundancy hypotheses
For rigorous correlation of STK36 expression with clinical parameters:
To integrate STK36 research within broader cancer signaling networks:
Pathway intersection analysis:
Multi-omics integration methods:
Correlate STK36 protein expression with:
Transcriptomic profiles (key EMT gene signatures)
Phosphoproteomics (downstream signaling effects)
Chromatin accessibility (effects on epigenetic regulation)
Systems biology approaches:
Network analysis to identify key nodes connecting STK36 to other pathways
Computational modeling of pathway crosstalk
Identification of potential synthetic lethality partners
Translational application frameworks:
Rational combination therapy design based on pathway interactions
Biomarker panels including STK36 and related pathway components
Patient stratification algorithms incorporating pathway activation status