CIPK19 is a calcineurin B-like protein-interacting protein kinase, part of the SnRK3 family involved in calcium signaling and stress responses in plants. While most research focuses on CIPK homologs like CIPK6, CIPK9, and CIPK15, CIPK19 has been specifically identified as a non-interactor with ammonium transporters (AMTs) in Arabidopsis:
| Feature | CIPK15 | CIPK19 |
|---|---|---|
| AMT Interaction | Binds AMT1;1, inhibits activity | No interaction with AMTs |
| Role in NH4+ Response | Regulates NH4+ uptake | Not implicated in NH4+ signaling |
This distinction highlights CIPK19's divergent functional niche compared to other CIPKs .
Though no studies directly characterize a CIPK19-specific antibody, insights can be drawn from related plant kinase research:
Tomato Cipk6 Antibodies: Used to study calcium signaling in immunity, showing interaction with Cbl10 and RbohB to regulate reactive oxygen species (ROS) .
CIPK15 Antibodies: Critical for validating kinase activity in ammonium transport regulation .
While CIPK19 antibodies remain unexplored, methodologies from other studies provide a roadmap:
The lack of CIPK19-specific antibody data underscores gaps in plant kinase research. Priorities include:
Epitope Mapping: Targeting variable regions outside conserved domains.
Functional Studies: Linking CIPK19 to uncharacterized stress pathways using CRISPR-edited lines.
Cross-Reactivity Screening: Ensure specificity across CIPK paralogs.
CIPK serine/threonine protein kinases interact with CBL proteins. The binding of a CBL protein to the NAF (N-terminal autoinhibitory domain) of a CIPK protein activates the kinase in a calcium-dependent manner.
CIPK19 belongs to the CIPK family of protein kinases that interact with calcium sensor CBL (Calcineurin B-Like) proteins to form signaling complexes involved in plant stress responses. Based on research on related proteins like CIPK9, CIPK19 likely functions in signal transduction pathways activated during various environmental stresses. CIPK9 has been demonstrated to interact with calcium sensors CBL2 and CBL3, playing crucial roles in K+ homeostasis under low-K+ stress conditions . Similarly, CIPK19 presumably forms protein complexes with specific CBL calcium sensors, which then target and phosphorylate downstream proteins involved in stress adaptation mechanisms.
CIPK19 antibodies can be utilized in multiple research applications:
| Application | Optimal Dilution | Sample Preparation | Key Considerations |
|---|---|---|---|
| Western Blot | 1:1000-1:2000 | Total protein extraction from plant tissues | Expected MW: ~55-60 kDa |
| Immunoprecipitation | 2-5 μg per mg protein | Non-denaturing extraction buffers | Include phosphatase inhibitors |
| Immunohistochemistry | 1:100-1:500 | Fixation optimization required | Test multiple fixatives |
| ELISA | 1:500-1:5000 | Varies by sample type | Standard curve validation |
| ChIP | 2-5 μg per assay | Crosslinked chromatin | Pre-clearing recommended |
The choice of application should be guided by research objectives. For protein-protein interaction studies, immunoprecipitation methods similar to those used for CIPK9-CBL2/3 interactions would be appropriate .
Ensuring antibody specificity is critical for reliable research outcomes:
Cross-reactivity testing: Test against recombinant proteins from multiple CIPK family members to assess potential cross-reactivity.
Knockout validation: Verify absence of signal in CIPK19 knockout/knockdown plant tissues.
Peptide competition: Pre-incubation with the immunizing peptide should abolish specific signal.
Western blot analysis: A single band at the expected molecular weight indicates good specificity.
Mass spectrometry validation: Confirm identity of immunoprecipitated proteins.
For CBL-CIPK interactions, approaches similar to those used for CIPK9 can be applied, where pull-down assays with GST-tagged CBL proteins followed by immunoblotting confirmed the interaction specificity .
For successful Western blot detection of CIPK19:
Sample preparation: Extract total proteins using a buffer containing 50 mM Tris-HCl (pH 7.5), 150 mM NaCl, 1% Triton X-100, protease inhibitors, and phosphatase inhibitors.
Protein separation: Load 20-40 μg total protein on 10-12% SDS-PAGE gels.
Transfer conditions: Transfer to PVDF membrane at 100V for 1 hour or 30V overnight.
Blocking: Use 5% non-fat milk in TBST for 1 hour at room temperature.
Antibody incubation: Dilute primary CIPK19 antibody 1:1000-1:2000 in 5% BSA/TBST and incubate overnight at 4°C.
Detection: After secondary antibody incubation and washing, visualize using ECL substrate.
Controls: Include positive control (tissue known to express CIPK19) and negative control (pre-immune serum).
This approach aligns with successful detection methods used for related proteins like CIPK9, where cMyc-CIPK9 fusion proteins were detected through immunoblotting after pull-down assays .
For co-immunoprecipitation of CIPK19 and its interaction partners:
Buffer optimization: Use mild lysis buffers (50 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.5% NP-40, 1 mM EDTA, protease inhibitors) to preserve protein-protein interactions.
Pre-clearing: Incubate lysates with Protein A/G beads before immunoprecipitation to reduce non-specific binding.
Antibody binding: Incubate 2-5 μg antibody per mg protein overnight at 4°C with gentle rotation.
Reciprocal IP: Perform reverse co-IP using antibodies against suspected binding partners.
Calcium dependency: Include calcium (1-2 mM) or EGTA in buffers to test calcium-dependent interactions.
Elution conditions: Use gentle elution with peptide competition or more stringent SDS elution depending on downstream applications.
Research on CIPK9 has successfully demonstrated protein interactions using GST-tagged CBL2 or CBL3 to pull down cMyc-CIPK9 fusion proteins from plant extracts, confirming their interaction in planta .
To investigate CIPK19 phosphorylation and activity:
Phospho-specific antibodies: Generate antibodies against predicted phosphorylation sites on CIPK19.
In vitro kinase assays:
Express recombinant CIPK19 in E. coli or insect cells
Test autophosphorylation in the presence of [γ-32P]ATP
Assess substrate phosphorylation using candidate proteins
Include CBL calcium sensors to evaluate activation mechanisms
Mass spectrometry analysis:
Immunoprecipitate CIPK19 from plants under different stress conditions
Perform phosphopeptide enrichment
Identify phosphorylation sites by LC-MS/MS
Phosphorylation site mutagenesis:
Generate phospho-null (S/T to A) and phosphomimetic (S/T to D/E) mutants
Assess impact on kinase activity and protein interactions
Evaluate phenotypic consequences in planta
This approach builds on our understanding of CIPK activation mechanisms, where interaction with calcium-bound CBL proteins triggers conformational changes and activation of the kinase domain.
Cross-reactivity is a common challenge when working with protein families like CIPKs:
Epitope selection strategies:
Target unique regions of CIPK19, particularly in the C-terminal domain
Avoid conserved kinase domains or NAF/FISL motifs that are similar across CIPK proteins
Use sequence alignment to identify CIPK19-specific regions
Antibody validation approaches:
Test against multiple recombinant CIPK proteins
Use tissues from CIPK19 knockout plants as negative controls
Perform peptide competition assays with specific and non-specific peptides
Cross-reactivity mitigation:
Pre-absorb antibodies with recombinant proteins of closely related CIPKs
Optimize antibody dilutions to reduce non-specific binding
Increase stringency of washing steps in immunoassays
A particular challenge with CIPK proteins is their structural similarity, as they all contain kinase domains and CBL-binding motifs, requiring careful antibody design and validation.
Detecting endogenous CIPK19 presents several challenges:
Low expression levels: CIPK proteins often show low basal expression, similar to CIPK9 which is primarily activated under specific stress conditions like low K+ environments .
Tissue-specific challenges:
| Tissue Type | Common Challenge | Solution Strategy |
|---|---|---|
| Leaves | Abundant RuBisCO interference | Fractionation to reduce RuBisCO contamination |
| Roots | Low protein yield | Modified extraction buffers with higher detergent concentrations |
| Seeds | High lipid content | Additional defatting steps during sample preparation |
| Meristems | Limited tissue amount | Pooling of samples, more sensitive detection methods |
Stress-induced expression: Expression may increase only under specific stress conditions, requiring appropriate experimental treatments to detect CIPK19.
Post-translational modifications: Phosphorylation status may affect antibody recognition; include phosphatase inhibitors during extraction.
Protein degradation: Use fresh tissue and include multiple protease inhibitors in extraction buffers.
Sample preparation significantly impacts CIPK19 detection success:
Extraction buffer optimization:
Include 10 mM DTT or β-mercaptoethanol to maintain reduced state
Add phosphatase inhibitors (10 mM NaF, 1 mM Na3VO4) to preserve phosphorylation
Use protease inhibitor cocktail to prevent degradation
Test different detergents (Triton X-100, NP-40, CHAPS) for optimal extraction
Subcellular fractionation:
Enrich for membrane fractions where CIPK-CBL complexes may localize
Separate nuclear and cytosolic fractions to determine subcellular distribution
Use density gradient centrifugation for organelle separation
Protein precipitation methods:
TCA/acetone precipitation can concentrate proteins but may affect epitope recognition
Methanol/chloroform precipitation often preserves immunoreactivity better
Sample storage considerations:
Avoid repeated freeze-thaw cycles
Store samples in small aliquots at -80°C
Add glycerol (10%) for cryoprotection
The CBL-CIPK calcium signaling system is crucial for plants to respond to environmental stimuli , and proper sample preparation is essential to maintain protein integrity for accurate analysis.
CIPK19 antibodies can be powerful tools for mapping protein interaction networks:
Co-immunoprecipitation coupled with mass spectrometry:
Immunoprecipitate CIPK19 from plants under different stress conditions
Identify co-precipitating proteins by mass spectrometry
Compare interactomes across different stresses to identify condition-specific interactions
Proximity labeling approaches:
Generate CIPK19 fusions with BioID or APEX2
Identify proteins in close proximity to CIPK19 in living cells
Compare labeled proteins under different stress conditions
Yeast three-hybrid validation:
Confirm CIPK19-CBL-target protein interactions
Test calcium dependency of interactions
Investigate competition between different interaction partners
In situ proximity ligation assay (PLA):
Visualize CIPK19 interactions with specific partners in plant tissues
Quantify interactions under different environmental conditions
Similar approaches have been successful in identifying interacting partners for CIPK9, revealing its interaction with calcium sensors CBL2 and CBL3 in planta through pull-down assays .
To investigate CIPK19's role in stress responses, consider these experimental approaches:
Genetic approaches:
Generate CIPK19 knockout/knockdown mutants
Create CIPK19 overexpression lines
Develop complementation lines with wild-type or mutated CIPK19
Phenotypic analysis under stress conditions:
Subject plants to controlled drought, salt, cold or nutrient stress
Monitor physiological parameters (water loss, electrolyte leakage, ROS levels)
Measure stress hormone levels (ABA, ethylene)
Assess K+ content and homeostasis under stress conditions
Transcriptomic and proteomic analysis:
Compare wild-type and CIPK19-modified plants under stress
Identify genes and proteins regulated by CIPK19
Perform temporal analysis to track signaling progression
Phosphoproteomic screening:
Identify proteins differentially phosphorylated in cipk19 mutants
Confirm direct substrates through in vitro kinase assays
Validate the functional significance of phosphorylation events
Research on the related CBL1/9-CIPK1 calcium sensor system has shown its involvement in drought stress responses , suggesting similar roles for other CBL-CIPK combinations including potentially CIPK19.
Active learning methods can enhance CIPK19 antibody development:
Library-on-library screening approaches:
Test multiple antibody candidates against CIPK19 variants
Iteratively expand labeled datasets based on binding outcomes
Apply machine learning to predict optimal epitopes and binding affinities
Out-of-distribution prediction improvements:
Strategic epitope mapping:
Focus on regions with high predicted antigenicity
Target epitopes conserved across plant species for broad applicability
Avoid regions prone to post-translational modifications
Computational design optimization:
Use structural modeling to predict antibody-antigen interactions
Optimize complementarity-determining regions (CDRs)
Test binding against related CIPK family members in silico
Recent research has shown that active learning strategies can significantly improve experimental efficiency in antibody development, reducing the number of required experimental variants by up to 35% .
Comparing antibodies across the CIPK family reveals important considerations:
Epitope conservation analysis:
CIPK kinase domains share high sequence similarity, increasing cross-reactivity risk
C-terminal regions typically offer greater specificity for individual CIPK proteins
The NAF/FISL motif that mediates CBL binding is conserved across CIPKs
Cross-reactivity patterns:
Antibodies against CIPK9 may cross-react with CIPK19 and vice versa
The degree of cross-reactivity often correlates with sequence similarity
Validation against multiple recombinant CIPK proteins is essential
Application-specific performance:
Some antibodies perform well in Western blot but poorly in immunoprecipitation
Fixation sensitivity varies for immunohistochemistry applications
Native protein recognition capability differs for interaction studies
Evolutionary considerations:
CIPK proteins have evolved distinct functions while maintaining structural similarity
Species-specific variations may affect antibody recognition across plant species
When selecting or developing CIPK19 antibodies, researchers should consider these factors to ensure specificity and reliability for their specific applications.
Comparative analysis of CIPK19 across species provides valuable insights:
Structural conservation:
The kinase domain typically shows higher conservation
Regulatory regions may diverge more rapidly between species
CBL-binding motifs are generally conserved but may show species-specific variations
Functional evolution:
Some species may utilize CIPK19 for specific stress responses
Gene duplication events may lead to functional specialization
Expression patterns and tissue specificity can vary across species
Antibody cross-species utility:
Antibodies targeting conserved epitopes will work across related species
Species-specific regions may require custom antibodies
Validation in each species of interest is recommended
Evolutionary adaptations:
Desert plants may show adaptations in CIPK signaling for drought tolerance
Crop species may have domestication-related changes in CIPK function
Wild relatives often provide insights into evolutionary selection pressures
Understanding these variations can guide experimental design and interpretation when studying CIPK19 in different model systems or crop species.