Cytokeratin 14 is a type I intermediate filament protein expressed in stratified epithelial tissues. Antibodies against CK14 are critical for identifying squamous cell carcinomas, studying epithelial differentiation, and diagnosing skin disorders like epidermolysis bullosa simplex .
| Antibody Clone | Host/Isotype | Applications (Tested) | Reactivity |
|---|---|---|---|
| LL002 (MA5-11599) | Mouse Monoclonal | IHC (P), WB | Human, Rat |
| 10143-1-AP | Rabbit Polyclonal | WB, IHC, IF/ICC, FC, IP, ELISA | Human, Mouse, Rat |
| EPR17350 (ab181595) | Rabbit Recombinant | WB, ICC/IF, Flow Cyt, IHC-P | Human, Mouse, Rat |
Squamous Cell Carcinoma: CK14 antibodies distinguish stratified epithelial cells and are prognostic markers in breast and lung cancers .
IHC Staining:
Observed MW: 47–53 kDa (vs. predicted 52 kDa), likely due to post-translational modifications .
Cross-Species Reactivity: Validated in human, mouse, and rat samples .
Role in Epithelial Integrity: CK14 pairs with CK5 to form intermediate filaments critical for mechanical resilience in skin .
Disease Associations:
| Feature | MA5-11599 | 10143-1-AP | ab181595 |
|---|---|---|---|
| Host | Mouse | Rabbit | Rabbit |
| Clonality | Monoclonal | Polyclonal | Recombinant Monoclonal |
| Applications | IHC, WB | WB, IHC, IF, IP | WB, IHC-P, Flow |
| Key Citations | 39+ publications | 78+ publications | 78+ publications |
Mechanistic Studies: Explore CK14 phosphorylation in cancer metastasis.
Therapeutic Targeting: Develop CK14-specific inhibitors for epithelial-derived tumors.
CIPK14 (CBL-interacting protein kinase 14) functions as an essential component in calcium-mediated signal transduction pathways in plants. It plays a critical role as a negative regulator in plant immune responses, particularly in Arabidopsis. Research has demonstrated that CIPK14 loss-of-function mutants exhibit enhanced resistance to Pseudomonas syringae, while overexpression plants show increased susceptibility to bacterial pathogens . The enhanced resistance in cipk14 mutants correlates with increased salicylic acid (SA) accumulation and elevated expression of defense marker genes including PR1, EDS1, EDS5, and ICS1 . This kinase's regulatory role extends to both transcriptional and post-transcriptional levels, making it a significant target for understanding plant immunity mechanisms.
For CIPK14 detection, researchers typically employ three main types of antibodies:
Polyclonal antibodies: Generated against multiple epitopes of the CIPK14 protein, offering broad recognition but potentially lower specificity.
Monoclonal antibodies: Produced against a single epitope, providing high specificity but potentially limited in detecting all protein variants.
Phospho-specific antibodies: Designed to recognize phosphorylated forms of CIPK14, particularly important since CIPK14 functions through phosphorylation of targets like WHY1 .
When selecting an antibody, researchers should consider whether they need to detect total CIPK14 protein or specific phosphorylated states, as this will determine which antibody type is most appropriate for experimental goals.
Designing experiments to study CIPK14 interactions with WHY1/WHY3 proteins requires a multi-faceted approach:
Co-immunoprecipitation (Co-IP): Use anti-CIPK14 antibodies to pull down protein complexes, followed by Western blotting with anti-WHY1/WHY3 antibodies to detect interactions.
In vitro kinase assays: Assess phosphorylation of WHY1 by CIPK14 using purified proteins, followed by detection with phospho-specific antibodies or radioactive labeling.
Subcellular localization studies: Compare the distribution of WHY1 between plastids and nucleus in wild-type versus cipk14 mutants using fractionation and immunoblotting.
Proteomic comparison: Analyze differential protein expression between wild-type, why1/3 mutants, and CIPK14 overexpression lines as demonstrated in previous research .
A comprehensive experimental design should include appropriate controls:
Wild-type plants
CIPK14 knockout mutants (cipk14)
CIPK14 overexpression lines (oeCIPK14)
WHY1/WHY3 knockout mutants (why1/3)
WHY1 overexpression lines (oeWHY1)
This approach has successfully identified that CIPK14 interacts with and phosphorylates WHY1, affecting its distribution between cellular compartments .
Validating a CIPK14 antibody requires several critical steps to ensure specificity, selectivity, and reproducibility:
Specificity testing:
Western blot analysis using wild-type plant tissues alongside cipk14 knockout mutants
Testing against recombinant CIPK14 protein
Peptide competition assays to confirm epitope specificity
Cross-reactivity assessment:
Testing against closely related CIPK family members
Evaluation in multiple plant species if cross-species reactivity is claimed
Application-specific validation:
For immunohistochemistry: Comparison of staining patterns between wild-type and cipk14 mutants
For immunoprecipitation: Verification of pulled-down proteins by mass spectrometry
For immunofluorescence: Co-localization with known markers of expected cellular compartments
Reproducibility testing:
These validation steps align with the FDA's definition of validation as "the process of demonstrating, through the use of specific laboratory investigations, that the performance characteristics of an analytical method are suitable for its intended analytical use" .
Distinguishing between specific and non-specific binding requires a systematic approach with appropriate controls:
Negative controls:
Use cipk14 knockout plant tissues where CIPK14 protein is absent
Include no-primary-antibody controls in immunoassays
Employ pre-immune serum controls for polyclonal antibodies
Blocking peptide competition:
Pre-incubate the CIPK14 antibody with excess specific peptide antigen
Compare results with and without peptide competition
Specific binding should be significantly reduced or eliminated with peptide competition
Signal verification methods:
Band size verification:
Ensure detected protein matches the predicted molecular weight of CIPK14
For post-translationally modified forms, verify band shifts correspond to expected modifications
When determining specificity, remember that non-specific binding typically appears as multiple unexpected bands or diffuse staining patterns that don't correspond to known expression patterns of CIPK14.
Several quantitative methods can effectively assess CIPK14 antibody sensitivity and dynamic range:
Serial dilution analysis:
Create standard curves using purified recombinant CIPK14 protein
Plot signal intensity versus protein concentration
Determine lower limit of detection (LLOD) and limit of quantification (LOQ)
Dynamic range assessment:
Compare signal from samples with varying CIPK14 expression levels
Include wild-type, cipk14 mutants, and CIPK14 overexpression lines
Quantify linearity across concentration ranges
Signal-to-noise ratio (SNR) calculation:
Measure specific signal intensity versus background
SNR > 3 typically indicates reliable detection
Calculate Z-factor to assess assay quality: Z = 1 - (3σc+ + 3σc-)/|μc+ - μc-|
Comparative analysis with reference methods:
For consistent quantitation, establish internal standards and include them in each experiment to normalize between assays and account for experimental variation.
Optimizing immunoblotting protocols for CIPK14 detection requires attention to several key parameters:
Sample preparation:
Use extraction buffers containing phosphatase inhibitors to preserve phosphorylation states
Include protease inhibitors to prevent degradation
Fresh tissue extraction is preferable to frozen samples for preserving protein integrity
Protein separation:
Use 10-12% SDS-PAGE gels for optimal resolution of CIPK14 (expected MW ~45-55 kDa)
For phosphorylated CIPK14 detection, consider Phos-tag gels to enhance separation of phosphorylated forms
Transfer optimization:
Semi-dry transfer for 1 hour or wet transfer overnight at low voltage
PVDF membranes generally provide better results than nitrocellulose for kinases
Blocking and antibody incubation:
Test both BSA and non-fat dry milk as blocking agents (kinase detection often works better with BSA)
Optimize primary antibody dilution (typically 1:500 to 1:2000)
Extended incubation at 4°C overnight often improves specific signal
Signal development:
ECL-based detection for standard applications
Consider fluorescence-based detection for more precise quantification
Critical controls:
Include wild-type, cipk14 mutant, and CIPK14 overexpression samples
Use loading controls such as anti-actin or anti-tubulin antibodies
For phospho-specific detection, include samples treated with phosphatase
This optimized approach has been successfully implemented in studies examining CIPK14's role in plant immunity and its interaction with WHY proteins .
For successful immunoprecipitation (IP) of CIPK14 and its interacting partners, follow these best practices:
Lysate preparation:
Use mild, non-denaturing lysis buffers to preserve protein-protein interactions
Include both phosphatase and protease inhibitors
Clear lysate by centrifugation at high speed before IP
Antibody selection and coupling:
Choose antibodies raised against regions not involved in protein-protein interactions
Consider covalently coupling antibodies to beads to avoid heavy/light chain interference in subsequent detection
For co-IP studies, verify that the antibody doesn't interfere with CIPK14-WHY1 interaction
IP procedure optimization:
Pre-clear lysate with protein A/G beads to reduce non-specific binding
Optimize antibody-to-lysate ratio (typically 2-5 μg antibody per mg of total protein)
Include appropriate negative controls (non-specific IgG, cipk14 knockout samples)
Washing conditions:
Balance stringency of washes to remove non-specific interactions while preserving specific ones
Consider testing increasing salt concentrations to determine optimal washing conditions
Include 0.1-0.5% mild detergent (e.g., NP-40) in wash buffers
Elution and detection:
Elute under native conditions for functional studies of immunoprecipitated complexes
For protein identification, analysis by mass spectrometry is preferable to Western blotting alone
Perform reverse IP (using antibodies against suspected interacting partners) to confirm interactions
This approach has been instrumental in confirming that CIPK14 interacts with and phosphorylates WHY1, affecting its subcellular distribution and function in plant defense mechanisms .
To study CIPK14 subcellular localization and potential translocation events:
Immunofluorescence microscopy:
Fix plant tissues with paraformaldehyde while preserving cellular structures
Optimize permeabilization conditions for different cellular compartments
Use fluorescence-conjugated secondary antibodies with minimal cross-reactivity
Include co-staining with compartment-specific markers (nuclear, cytoplasmic, membrane)
Subcellular fractionation:
Separate cellular components (nuclear, cytosolic, membrane, plastid fractions)
Perform Western blotting on each fraction with anti-CIPK14 antibodies
Include fraction-specific markers to confirm separation quality
Quantify CIPK14 distribution across fractions under different conditions or treatments
Proximity ligation assay (PLA):
Detect interactions between CIPK14 and partners like WHY1 in situ
Visualize specific interaction sites within cellular compartments
Quantify interaction events in different cellular locations
Live cell imaging with fusion proteins:
Validate antibody-based localization studies with GFP-CIPK14 constructs
Compare antibody staining patterns with fluorescent protein localization
Study dynamic changes in localization using inducible expression systems
Research has shown that CIPK14 affects the distribution of WHY1 between plastids and the nucleus through phosphorylation . When designing localization studies, include experiments that can detect potential changes in CIPK14 localization in response to calcium signaling or pathogen challenge, as these may be critical to understanding its function in plant immunity.
When faced with weak or absent signals when using CIPK14 antibodies, systematically address these potential issues:
Protein extraction and preservation:
Verify protein extraction efficiency with total protein stains
Ensure use of fresh protease inhibitors in extraction buffers
Minimize freeze-thaw cycles of protein samples
Test different extraction buffers optimized for membrane-associated proteins
Antibody-related factors:
Verify antibody quality with positive control samples
Try different antibody concentrations (perform a titration experiment)
Test alternative CIPK14 antibodies targeting different epitopes
Consider antibody storage conditions and avoid repeated freeze-thaw cycles
Detection system optimization:
Increase antibody incubation time (overnight at 4°C)
Try more sensitive detection systems (enhanced chemiluminescence plus)
Reduce washing stringency while maintaining specificity
For fluorescence-based detection, adjust scanner settings and exposure times
Expression level considerations:
CIPK14 may be expressed at low levels in certain tissues or conditions
Use tissues where CIPK14 is known to be expressed (based on transcriptome data)
Consider enrichment by immunoprecipitation before detection
Include CIPK14 overexpression samples as positive controls
Epitope accessibility:
Test different protein denaturation conditions
For immunohistochemistry, optimize antigen retrieval methods
Consider native vs. reducing conditions for epitope exposure
If troubleshooting attempts fail to improve detection, consider alternative methods such as mass spectrometry-based approaches to detect and quantify CIPK14 protein.
Several factors can explain contradictions between CIPK14 protein levels (detected by antibodies) and transcript levels (measured by qRT-PCR):
Post-transcriptional regulation:
microRNA-mediated regulation affecting translation efficiency
RNA binding proteins controlling transcript stability
Alternative splicing generating protein isoforms not recognized by the antibody
Post-translational mechanisms:
Protein stability differences (degradation rates varying between conditions)
Proteasomal degradation targeting specific protein pools
Sequestration in different cellular compartments affecting extraction efficiency
Technical considerations:
Antibody specificity issues or detection of only specific protein forms
Protein extraction bias for certain cellular compartments
qRT-PCR primer specificity for particular transcript variants
Biological timing:
Temporal delay between transcription and translation
Different half-lives of mRNA versus protein
Feedback loops regulating protein but not transcript levels
Research on CIPK14 and WHY1/3 has demonstrated this phenomenon, with only 5 out of 26 genes showing consistent patterns between transcript and protein expression levels . This discrepancy highlights the importance of integrating both transcriptomic and proteomic approaches when studying CIPK14 function.
| Consistency between protein and transcript levels | Number of genes | Percentage |
|---|---|---|
| Consistent patterns | 5/26 | 19.2% |
| Inconsistent patterns | 21/26 | 80.8% |
This data emphasizes the necessity of protein-level studies using validated antibodies rather than relying solely on transcript analysis.
Interpreting changes in CIPK14 phosphorylation status requires careful consideration of several aspects:
Validation of phospho-specific antibodies:
Confirm antibody specificity using phosphatase-treated samples as negative controls
Verify recognition of phospho-mimetic mutants versus phospho-deficient mutants
Include in vitro phosphorylated CIPK14 as a positive control
Quantification approach:
Always normalize phospho-signal to total CIPK14 protein
Use dual detection with different fluorophores for simultaneous measurement
Present data as phospho-CIPK14/total CIPK14 ratio rather than absolute values
Dynamic analysis:
Monitor phosphorylation changes over a time course following stimulus
Consider multiple phosphorylation sites and their potential interdependence
Compare phosphorylation patterns in different subcellular compartments
Functional correlation:
Relate phosphorylation changes to downstream events (e.g., WHY1 localization)
Correlate phosphorylation status with CIPK14 kinase activity in vitro
Compare phosphorylation patterns between wild-type and mutant plants with altered phenotypes
Controls for biological significance:
Include treatments with calcium signaling modulators
Compare pathogen-challenged versus non-challenged samples
Analyze phosphorylation in plants with altered CBL (Calcineurin B-like) expression
This approach has been valuable in understanding how CIPK14-mediated phosphorylation affects WHY1 distribution between plastids and the nucleus, influencing plant defense responses . Changes in phosphorylation status of CIPK14 targets like MPK3/6 under flg22 treatment suggest that CIPK14 functions as a modulator of plant immunity at both transcriptional and post-transcriptional levels .
The performance of CIPK14 antibodies across different plant species requires careful evaluation:
Epitope conservation analysis:
Perform sequence alignment of CIPK14 homologs across species
Focus on antibody epitope regions to predict cross-reactivity
Generate conservation scores for epitope regions compared to full protein
Validation strategy for cross-species use:
Test antibodies on recombinant CIPK14 proteins from target species
Include appropriate positive controls (overexpression) and negative controls (knockout if available)
Perform Western blotting with increasing protein amounts to determine sensitivity thresholds
Performance characteristics by species:
Expect stronger signals in closely related species (within same family)
Adjust antibody concentrations for more distant species
Be prepared for potential cross-reactivity with other CIPK family members
Application-specific considerations:
Western blotting typically shows better cross-species reactivity than immunohistochemistry
For immunoprecipitation, binding efficiency may vary significantly between species
In microscopy applications, background issues may be more prominent in non-model species
When using CIPK14 antibodies developed against Arabidopsis in other species, validation should include comparison with known expression patterns and molecular weight verification, as post-translational modifications might differ across species.
Integrating CIPK14 antibodies with advanced molecular techniques creates powerful approaches for functional studies:
ChIP-seq (Chromatin Immunoprecipitation with sequencing):
If CIPK14 has nuclear functions, ChIP-seq can identify genomic binding regions
Requires highly specific antibodies capable of efficient immunoprecipitation
Can reveal CIPK14's role in transcriptional regulation if it associates with chromatin
IP-MS (Immunoprecipitation coupled with Mass Spectrometry):
Identify novel CIPK14 interacting partners beyond known ones like WHY1
Detect post-translational modifications on CIPK14 and its substrates
Compare interactomes under different stress conditions or developmental stages
Proximity-dependent labeling:
Fuse CIPK14 with BioID or APEX2 and validate localization with antibodies
Map spatial proteomics of CIPK14 neighborhood in different cellular compartments
Identify transient interactions missed by conventional co-IP approaches
Single-cell analysis:
Combine immunofluorescence with single-cell transcriptomics
Correlate CIPK14 protein levels with cell-specific responses
Reveal cell-type specific functions in heterogeneous tissues
CRISPR-edited systems with antibody validation:
Generate epitope-tagged endogenous CIPK14 using CRISPR
Compare antibody detection of native versus tagged protein
Study function in physiological context without overexpression artifacts
These integrated approaches can address complex questions about CIPK14 function, such as how its phosphorylation of WHY1 affects nuclear-plastid communication and ultimately regulates plant immunity .
To investigate CIPK14's function in calcium-dependent signaling networks:
Co-immunoprecipitation of signaling complexes:
Use CIPK14 antibodies to pull down intact signaling complexes
Identify CBL (Calcineurin B-like) partners that regulate CIPK14
Compare complex composition under different calcium concentrations
Calcium ionophore and chelator studies:
Treat plants with calcium ionophores (A23187) or chelators (EGTA)
Monitor CIPK14 phosphorylation state and localization changes using specific antibodies
Track downstream substrate phosphorylation (such as WHY1) in response to calcium flux
In situ activation analysis:
Combine calcium imaging (using indicators like Fluo-4) with CIPK14 immunolocalization
Create temporal maps of calcium signals and subsequent CIPK14 redistribution
Correlate with activation of defense responses in pathogen-challenged tissues
Pathway reconstruction:
Immunoprecipitate CIPK14 from wild-type and mutant plants lacking specific signaling components
Perform in vitro kinase assays to assess how pathway perturbations affect CIPK14 activity
Use phospho-specific antibodies to monitor activation status of CIPK14 and its substrates
Quantitative signaling dynamics:
Develop phospho-flow cytometry approaches using CIPK14 phospho-specific antibodies
Measure signaling dynamics across populations of cells or protoplasts
Create mathematical models of calcium-CIPK14 signaling incorporating quantitative antibody-based measurements
Research has established that CIPK14 functions in calcium-mediated signal transduction pathways and plays important roles in plant immunity . Understanding its activation and regulation in response to calcium signals will provide insights into how plants transduce external stimuli into appropriate defense responses.
When designing experiments to compare CIPK14 with other CIPK family members:
Antibody specificity assessment:
Test cross-reactivity of CIPK14 antibodies with recombinant proteins of related CIPKs
Create epitope maps to identify unique regions for generating specific antibodies
Include multiple CIPK knockout lines as specificity controls
Expression pattern comparison:
Design systematic tissue profiling using validated antibodies for each CIPK
Use consistent extraction and detection methods across all family members
Create standardized quantification approaches normalizing to invariant controls
Functional redundancy analysis:
Create single and combinatorial CIPK mutants (e.g., cipk14, cipk14/cipk23)
Compare protein expression of remaining family members using specific antibodies
Assess compensatory expression changes in mutant backgrounds
Substrate specificity determination:
Perform parallel immunoprecipitation studies for multiple CIPKs
Identify common and unique interacting partners using mass spectrometry
Validate interactions with candidate proteins like WHY1/WHY3 using reciprocal co-IP
Pathway integration:
Map connections between different CIPK pathways using phospho-specific antibodies
Determine points of convergence and divergence in signaling networks
Use phospho-proteomics to identify differential substrate preferences
| Parameter | CIPK14 | Related CIPKs (CIPK1, CIPK8, etc.) |
|---|---|---|
| Ca2+ dependency | [Specific characteristics] | [Comparative characteristics] |
| Subcellular localization | Cytoplasm/nucleus | [Variable by family member] |
| Major substrates | WHY1, MPK3/6 pathway components | [Family-specific substrates] |
| Dominant phenotypes | Immunity regulation | [Family-specific functions] |
This comparative approach will help elucidate the unique aspects of CIPK14 function while placing it in the broader context of the CIPK family signaling network.
For successful integration of CIPK14 antibodies in high-throughput proteomic studies:
Antibody validation for proteomics applications:
Verify antibody performance in immunoprecipitation followed by mass spectrometry
Assess background binding using appropriate negative controls
Determine optimal antibody-to-bead ratios for maximal specific enrichment
Sample preparation optimization:
Develop consistent protein extraction protocols compatible with downstream applications
Standardize tissue amounts and extraction conditions across experimental samples
Consider fractionation approaches to enrich for CIPK14-containing complexes
Quantitative considerations:
Incorporate isotope labeling approaches (SILAC, TMT) for accurate quantification
Include spike-in standards for normalization between experimental batches
Design biological and technical replicates with appropriate statistical power
Data analysis pipeline development:
Create filters to discriminate true interactions from background
Implement statistical approaches for significance assessment
Develop visualization tools for complex interaction networks
Integration with other data types:
Correlate proteomic findings with transcriptomic data
Map identified interactions onto known signaling pathways
Integrate with phenotypic data from genetic studies
Previous proteomic analysis has successfully identified differentially abundant proteins in CIPK14 overexpression and WHY1/3 knockout plants, revealing only five overlapping proteins between these lines that may be closely associated with CIPK14-mediated functions of WHY proteins . This approach can be expanded to study how CIPK14 affects global proteome remodeling during immune responses and other cellular processes.
To address contradictory findings about CIPK14 function across different studies:
Standardize experimental systems:
Use identical plant ecotypes and growth conditions across experiments
Define precise developmental stages for analysis
Standardize stress treatment protocols (pathogen strains, concentration, duration)
Employ multiple detection methods:
Combine antibody-based detection with transcript analysis
Validate key findings with multiple independent antibodies
Incorporate mass spectrometry-based protein quantification
Address genetic background effects:
Generate new mutations in standardized backgrounds
Create complementation lines with identical promoters and terminators
Use CRISPR/Cas9 to introduce precise mutations rather than T-DNA insertions
Control for environmental variables:
Document complete growth conditions including light quality, temperature cycles
Control for circadian effects by time-matched sampling
Consider microbiome effects in soil-grown plants
Systematic phenotyping approach:
Develop quantitative assays for immune responses
Use image-based phenotyping for consistent scoring
Apply statistical models that account for experimental variability
This comprehensive approach has been valuable in resolving seemingly contradictory findings about CIPK14's role in plant immunity, showing that it functions as a negative regulator at both transcriptional and post-transcriptional levels . By implementing standardized experimental designs and rigorous controls, researchers can build a more consistent understanding of CIPK14 function across different biological contexts.