STK Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
STK antibody; STOREKEEPER protein antibody
Target Names
STK
Uniprot No.

Target Background

Function
STK Antibody may function as a transcriptional regulator. It binds specifically to the B-box motif, a promoter element essential for the tuber-specific and sucrose-inducible expression of the patatin gene.
Database Links

KEGG: sot:102589608

UniGene: Stu.18254

Protein Families
GeBP family
Subcellular Location
Nucleus.
Tissue Specificity
Expressed in tubers and in leaves treated with sucrose.

Q&A

What is an STK antibody and how are they used in kinase research?

STK antibodies are immunological reagents designed to specifically recognize and bind to serine/threonine kinases or their phosphorylated substrates. They are critical tools in studying kinase-mediated signaling pathways. Unlike general antibodies, STK-specific antibodies can be engineered to recognize phosphorylated epitopes, making them valuable for detecting kinase activity.

In research settings, STK antibodies like the STYK1 (Ser/Thr/Tyr kinase 1) antibody are used to study various signaling pathways. STYK1, also known as NOK ("novel oncogene with kinase-domain"), is a 50 kDa protein belonging to the FGFR/PDGFR family of tyrosine kinases that activates both MAPK and PI3K pathways and is associated with oncogenesis . These antibodies can be conjugated with fluorophores (such as Alexa Fluor 750) to facilitate detection in various assay formats.

What are the standard protocols for validating STK antibody specificity?

Validating STK antibody specificity requires multiple complementary approaches:

  • Western blot analysis: Run positive and negative control samples (tissue/cells known to express or lack your target kinase). Look for a single band at the expected molecular weight (e.g., 50 kDa for STYK1) .

  • Phospho-specificity testing: For phospho-specific STK antibodies, treat samples with phosphatases to confirm signal loss.

  • Peptide competition: Pre-incubate antibody with the immunizing peptide to block specific binding.

  • Knockout/knockdown validation: Compare antibody reactivity in wild-type versus kinase-depleted samples.

  • Cross-reactivity assessment: Test against closely related kinases, particularly within the same family.

When validating phospho-specific STK antibodies, researchers should include both unstimulated controls and samples treated with kinase activators or inhibitors to demonstrate signal modulation correlating with known biological activity.

How should STK antibodies be stored and handled to maintain optimal activity?

Based on best practices for research antibodies like those used in HTRF KinEASE-STK assays:

  • Store stock solutions of conjugated STK antibodies (like Cryptate-labeled antibodies) at 2-8°C for short-term storage (up to one week) .

  • For longer storage, aliquot antibodies to avoid repeated freeze-thaw cycles.

  • Working solutions cannot typically be stored and must be used immediately, with the exception of some formulations like STK Antibody-Cryptate which can be stored for up to one week at +4°C .

  • When diluting concentrated antibody stocks, use the recommended detection buffer to maintain optimal antibody performance.

  • Avoid exposure to strong light when working with fluorophore-conjugated antibodies like Alexa Fluor 750-conjugated STK antibodies .

How do I optimize STK antibody concentration for phosphorylation detection assays?

Optimizing STK antibody concentration requires systematic titration experiments. For HTRF-based detection systems:

  • Prepare a series of antibody dilutions covering at least a 10-fold range around the manufacturer's recommended concentration.

  • Test each concentration against positive control samples with known phosphorylation levels and negative controls.

  • Calculate signal-to-background ratios for each concentration to identify the optimal working dilution.

  • For dual-detection systems (like those using STK Antibody-Eu3+-Cryptate paired with streptavidin-XL665), maintain the recommended ratio between detection components while optimizing concentrations .

  • When using microarray-based detection platforms like PamChip, follow the manufacturer's protocols for antibody dilution while accounting for the flow-through dynamics of the system .

For optimal results in HTRF KinEASE-STK assays, the STK Antibody-Cryptate working solution should be prepared by diluting the intermediate solution 50-fold with detection buffer for proper performance in the assay protocol .

What controls are essential when using STK antibodies in phosphorylation assays?

Robust STK antibody-based phosphorylation assays require multiple controls:

  • Negative enzymatic control: Complete reaction mixture without kinase to establish baseline signal and detect non-specific binding. This is particularly important when optimizing assay conditions, as demonstrated in the HTRF KinEASE-STK assay protocol .

  • Positive control: Well-characterized kinase with known activity against your substrate.

  • Inhibition control: Samples containing known inhibitors of your target kinase at concentrations that produce defined levels of inhibition.

  • Substrate titration control: When testing different substrate concentrations, adjust streptavidin-detection reagent concentrations to maintain optimal biotin/streptavidin ratios (typically 8:1) .

  • ATP titration control: Include controls at different ATP concentrations to establish ATP Km(app) values relevant to your experimental system .

For flow-through microarray assays on platforms like PamStation12, incorporating randomization of sample loading and employing ComBat batch correction normalization is essential to account for technical variations inherent to the methodology .

How can I calculate and interpret kinetic parameters from STK antibody-based activity assays?

The interpretation of kinetic parameters from STK activity assays requires careful analysis:

  • Km(app) determination for substrates: Plot specific signal (ratio sample with enzyme minus ratio negative) versus substrate concentrations, then fit to Michaelis-Menten or Lineweaver-Burke equations .

  • ATP Km(app) calculation: Using optimal enzyme concentration and saturating substrate concentration (typically 1 μM for STK-Substrate), test ATP concentrations ranging from low nanomolar to high micromolar (e.g., 1.7 nM to 300 μM) .

  • Evaluation of inhibitor potency: For IC50 determination, test compounds at multiple concentrations under conditions where substrate and ATP concentrations are near their respective Km values.

  • Time-course analysis: Establish linear reaction rates by measuring phosphorylation at multiple time points to ensure measurements are made within the linear range of enzyme activity.

The optimal assay parameters for kinase activity measurements using STK antibody detection include:

ParameterRecommended RangeOptimization Approach
Substrate0.97 nM - 2 μMTwo-fold serial dilutions
Kinase0.01 - 1 ng/μLTitration experiment
ATP1.7 nM - 300 μMTitration at fixed substrate
SA-XL6650.06 - 125 nMMaintain 8:1 biotin/streptavidin ratio
AntibodyReady-to-useUse as supplied in kit

Table 1: Recommended parameter ranges for STK kinase assay optimization based on HTRF KinEASE-STK protocols .

How can STK antibodies be employed in multiplexed kinase activity profiling?

Multiplexed kinase activity profiling with STK antibodies requires specialized platforms and methodological considerations:

  • Microarray-based approaches: Platforms like PamChip arrays enable simultaneous analysis of multiple kinase activities using a flow-through microarray format with immobilized peptide substrates .

  • Detection strategy: For multiplex detection, use either directly labeled phospho-specific antibodies or a combination of primary STK antibodies with secondary detection systems.

  • Data normalization: Apply appropriate statistical methods such as ComBat batch correction to normalize signals across different experimental batches and account for technical variations .

  • Signal quantification: For image-based detection, use specialized software like BioNavigator to quantify signal intensities, which should be log2-transformed for statistical analysis .

  • Validation: Confirm key findings from multiplexed assays using orthogonal methods such as Western blotting or targeted phospho-specific ELISAs.

In a recent kinomics study, researchers used PamChip arrays to evaluate serine/threonine kinase activities in multiple experimental conditions. Images were recorded every 5 cycles for 30 cycles, and signal intensities were quantified using the Evolve3 application and then log2-transformed for statistical analysis .

What are the considerations for using STK antibodies in cell-based phosphorylation assays?

When designing cell-based phosphorylation assays with STK antibodies, researchers should consider:

  • Cell permeabilization: For intracellular targets, effective permeabilization protocols are crucial. STYK1, despite having a putative transmembrane segment, appears to be intracellular and requires appropriate permeabilization for antibody access .

  • Fixation protocols: Optimize fixation methods to preserve phosphorylation status while maintaining epitope accessibility.

  • Phosphatase inhibition: Include phosphatase inhibitors in lysis buffers to prevent post-lysis dephosphorylation.

  • Signal amplification: For low-abundance targets, consider secondary amplification methods compatible with your detection system.

  • Validation with recombinant proteins: Use purified recombinant kinases (such as E. coli-derived recombinant human STYK1) as positive controls to validate antibody specificity before cell-based applications .

Cell culture conditions can significantly impact kinase activity. For example, in studies involving decidualization, researchers maintained cells under standard culture conditions (37°C with 5% CO2) and included appropriate vehicle controls when testing effects of compounds on kinase activity .

How should phospho-specificity of STK antibodies be validated in complex biological samples?

Validating phospho-specificity in complex samples requires rigorous controls:

  • Phosphatase treatment: Divide your sample and treat half with lambda phosphatase to demonstrate signal loss.

  • Competing phosphopeptides: Pre-incubate antibody with phosphorylated and non-phosphorylated peptides to demonstrate specificity.

  • Kinase inhibitors: Treat cells or tissues with specific kinase inhibitors to show corresponding decrease in antibody signal.

  • Induction of phosphorylation: Demonstrate signal increase following treatments known to activate your kinase pathway.

  • Phosphomimetic mutations: Compare antibody reactivity against wild-type, phosphomimetic (e.g., S→D), and phospho-null (e.g., S→A) mutants.

For stripping and re-probing membranes in Western blot validations, researchers can use 0.1 M glycine (pH 2.6) for 1 hour at ambient temperature, followed by reprobing with control antibodies such as anti-BACTIN for normalization of protein loading .

How can STK antibodies be integrated into modern kinome profiling technologies?

Integration of STK antibodies into comprehensive kinome profiling requires consideration of several advanced methodological approaches:

  • Combination with proteomics: STK antibodies can be used for immunoprecipitation of kinases and their substrates prior to mass spectrometry analysis, enriching for phosphorylated peptides.

  • Flow-through microarray technology: Platforms like PamStation12 enable serine/threonine kinase assays with high throughput and reproducibility .

  • Quantitative image analysis: For microarray-based detection, signals from phosphorylated peptides should be quantified using specialized software and log2-transformed for statistical comparisons .

  • Batch effect correction: Experimental design should account for technical variations, and statistical methods like ComBat batch correction normalization should be applied to minimize these effects .

  • Integration with transcriptomics: Correlate kinase activity profiles with gene expression data using semi-quantitative real-time TaqMan PCR to understand regulatory networks .

In a recent study analyzing decidualization, researchers applied a novel kinomics approach to identify key regulatory kinases. PKC was selected for targeted studies as different isoforms of this STK were among the kinases predicted to be the most affected under different experimental conditions .

What are the advantages and limitations of different STK antibody detection technologies?

Various detection technologies for STK antibodies offer distinct advantages and limitations:

Detection TechnologyAdvantagesLimitationsOptimal Applications
HTRF (TR-FRET)High sensitivity, low background, homogeneous formatRequires specialized plate readers, potential interference from fluorescent compoundsHigh-throughput screening, compound testing
Microarray (PamChip)Multiplexed analysis, reduced sample consumptionSpecialized equipment needed, higher cost per sampleKinome profiling, pathway analysis
Western BlotWidely accessible, size verification of targetLower throughput, semi-quantitativeProtein expression validation, isoform specificity
Flow CytometrySingle-cell analysis, multi-parameterCell preparation critical, requires cell permeabilizationHeterogeneous sample analysis, cell signaling

Table 2: Comparison of detection technologies for STK antibody applications

For HTRF-based detection, the signal is proportional to the phosphorylation level, with STK-Antibody labeled with Eu3+-Cryptate and streptavidin-XL665 typically mixed in a single addition with EDTA (used to stop kinase activity) . This technology offers excellent sensitivity but requires careful attention to biotin/streptavidin ratios.

What approaches are recommended for troubleshooting contradictory results in STK antibody-based assays?

When faced with contradictory results in STK antibody experiments, researchers should systematically investigate potential sources of variability:

  • Antibody batch variation: Test multiple lots and validate each new lot against previously validated material.

  • Sample preparation inconsistencies: Standardize lysis conditions, paying particular attention to phosphatase inhibitors and buffer composition.

  • Detection system limitations: Assess whether signal saturation or background issues may be affecting quantification.

  • Cell state variability: Control for cell confluence, passage number, and treatment conditions.

  • Kinase activity temporal dynamics: Consider that phosphorylation events are often transient; perform detailed time-course experiments.

For Western blot semi-quantification, normalize the standardized optical density (SOD) of the target protein against loading controls like BACTIN on re-blotted membranes . Statistical analysis should employ appropriate tests such as one-way ANOVA followed by Tukey-Kramer multiple-comparisons when P values are below the significance threshold (p<0.05) .

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