CIPK4 belongs to the CBL (Calcineurin B-Like)-CIPK family, a conserved calcium-signaling network critical for plant adaptation to abiotic and biotic stressors . CIPKs interact with CBLs to regulate ion transport, gene expression, and stress-response pathways. CIPK4 specifically has been implicated in cold tolerance and pathogen defense mechanisms in citrus species .
While no studies explicitly using CIPK4 antibodies were identified, analogous CIPK-targeting antibodies in plant research have enabled:
Protein Localization: Mapping CIPK4 distribution in plant tissues under stress conditions .
Functional Knockdown: Blocking CIPK4 activity to study its role in stress signaling .
Expression Analysis: Quantifying CIPK4 levels via Western blot or ELISA in transgenic plants .
Cold Tolerance: Overexpression of CuCIPK16 (a homolog) in Arabidopsis enhanced cold tolerance, suggesting CIPK4 may similarly regulate antioxidant enzyme activity (e.g., POD) and lipid peroxidation (MDA levels) .
Pathogen Response: CIPK4 downregulation during Xanthomonas infection implies a role in suppressing immune pathways to favor pathogen proliferation .
Specificity: High homology among CIPK family members (e.g., CIPK1, CIPK14) necessitates antibodies targeting unique epitopes .
Functional Validation: Antibodies must distinguish between phosphorylated (active) and inactive CIPK4 states, which differ structurally .
Cross-Reactivity: Plant-specific post-translational modifications (e.g., palmitoylation in CKAP4 ) may complicate antibody binding.
Therapeutic Potential: Lessons from humanized anti-CKAP4 antibodies (e.g., Hv1Lt1 in pancreatic cancer ) highlight opportunities for engineered CIPK4 antibodies in crop biotechnology.
Synergistic Treatments: Combining CIPK4-targeting antibodies with existing therapies (e.g., osimertinib in lung cancer ) could enhance stress resilience in plants.
CDK4 (Cyclin-dependent kinase 4) is a master regulatory protein that integrates mitogenic and oncogenic signaling with the cell division cycle. The protein has a molecular mass of approximately 33.7 kilodaltons and is encoded by a gene also known as CMM3, PSK-J3, or cell division protein kinase 4. CDK4 plays a critical role in promoting cell proliferation through interaction with D-type cyclins, facilitating the G1/S phase transition of the cell cycle. Its significance in research stems from its deregulation in most cancers, making it both an important biomarker and therapeutic target. CDK4 inhibitors have become standard treatments for metastatic estrogen-receptor positive breast cancers and are being evaluated in various other cancer types .
Researchers can choose from a diverse array of CDK4 antibody formats, including:
Monoclonal antibodies: Provide high specificity for particular CDK4 epitopes
Polyclonal antibodies: Recognize multiple epitopes of CDK4 protein
Phospho-specific antibodies: Target specific phosphorylation sites (particularly T172)
Tag-specific antibodies: Recognize tagged recombinant CDK4 proteins
These antibodies come in various conjugation formats (unconjugated or tagged with fluorescent dyes, HRP, etc.) and are validated for different applications including Western blotting, immunohistochemistry, immunofluorescence, flow cytometry, and ELISA .
Selecting the optimal CDK4 antibody requires consideration of multiple experimental parameters:
Experimental application: Determine whether the antibody has been validated for your specific application (WB, IHC, IF, IP, ELISA, etc.)
Species reactivity: Verify cross-reactivity with your experimental model (human, mouse, rat, etc.)
Epitope specificity: For phosphorylation studies, select antibodies recognizing specific phosphorylation sites such as T172
Clonality: Choose monoclonal antibodies for consistent results in long-term studies or polyclonal for stronger signals
Validation evidence: Review published literature and supplier validation data including Western blot images, IF patterns, and IHC staining
Batch consistency: For critical experiments, consider antibodies with demonstrated lot-to-lot consistency
Proper experimental controls are essential for reliable interpretation of CDK4 antibody results:
Positive controls: Include cell lines known to express CDK4 (most proliferating cell lines)
Negative controls: Use CDK4-knockout cells or tissues, or cells treated with CDK4-specific siRNA
Phosphorylation controls: For phospho-specific antibodies, include samples treated with phosphatase inhibitors (positive control) and phosphatases (negative control)
Loading controls: Use housekeeping proteins (β-actin, GAPDH) to normalize CDK4 expression
Antibody controls: Include an isotype control antibody to assess non-specific binding
Blocking peptide controls: Use the immunizing peptide to confirm specificity in Western blots or IHC
Distinguishing between active and inactive forms of CDK4 is critical for understanding its functional state in experimental systems:
Phospho-specific antibodies: Use antibodies specifically recognizing T172-phosphorylated CDK4, which represents the active form of the kinase. The phosphorylation at T172 in the T-loop is a highly regulated step that determines cyclin D-CDK4 complex activity.
Co-immunoprecipitation approaches:
Immunoprecipitate CDK4 and blot for T172 phosphorylation
Alternatively, use T172-phospho-specific antibodies (like LA2-AD4 mAb) for immunoprecipitation to isolate only the active CDK4 fraction
Kinase activity assays: After immunoprecipitation of CDK4, perform in vitro kinase assays using recombinant Rb protein as substrate
Sequential immunoprecipitation: First deplete T172-phosphorylated CDK4 using phospho-specific antibodies, then analyze the remaining fraction as inactive CDK4
CDK4-cyclin D complex analysis requires specialized approaches:
Co-immunoprecipitation strategy:
Immunoprecipitate with anti-cyclin D1 or D3 antibodies and blot for CDK4
Alternatively, immunoprecipitate with CDK4 antibody and blot for cyclins
For active complexes, use phospho-T172-specific CDK4 antibodies for immunoprecipitation
Proximity ligation assay (PLA):
Use paired antibodies against CDK4 and cyclin D
Provides spatial information about complex formation in situ
FRET-based analysis:
Utilize fluorescently-labeled antibodies against CDK4 and cyclins
Enables live-cell analysis of complex dynamics
Sequential immunoprecipitation to identify subcomplexes:
CDK4 antibodies offer valuable predictive capabilities for CDK4/6 inhibitor efficacy:
Detection of active CDK4: T172-phosphorylated CDK4 signals the presence or absence of active CDK4 (the target of CDK4/6 inhibitory drugs) and has been associated with tumor cell sensitivity to palbociclib and other inhibitors.
Quantitative analysis approach:
Use phospho-T172 specific antibodies in immunoblotting or ELISA
Compare phospho-CDK4 levels with total CDK4 to calculate activation ratios
Higher ratios correlate with increased sensitivity to CDK4/6 inhibitors
Multiplexed analysis with pathway components:
Combine CDK4 antibody detection with analysis of p16, Rb, and E2F targets
Complete pathway profiling provides more comprehensive prediction
Spatial context in tumors:
Distinguishing these related kinases requires specific approaches:
Antibody selection strategy:
Verify antibody specificity using recombinant CDK4 and CDK6 proteins
Select antibodies targeting non-homologous regions
Validate with knockout or knockdown systems for each kinase
Sequential immunodepletion approach:
First deplete CDK4 using specific antibodies
Then analyze remaining fraction for CDK6
Confirm with reverse depletion sequence
Comparative analysis workflow:
Run parallel reactions with CDK4-specific and CDK6-specific antibodies
Include control samples with known CDK4/CDK6 ratios
Normalize signals to create quantitative comparison
Mass spectrometry validation:
Optimizing Western blot signals for CDK4 detection:
Sample preparation optimization:
Use phosphatase inhibitors to preserve T172 phosphorylation
Add protease inhibitors to prevent degradation
Consider subcellular fractionation to enrich nuclear fraction
Technical adjustments:
Increase antibody concentration or incubation time
Optimize blocking conditions (BSA may work better than milk for phospho-epitopes)
Try different membrane types (PVDF vs. nitrocellulose)
Increase protein loading (50-100 μg recommended for phospho-CDK4)
Signal enhancement strategies:
Use more sensitive detection systems (ECL Plus, fluorescent secondary antibodies)
Consider antibody signal amplification systems
Try reducing SDS concentration in transfer buffer
Antibody-specific factors:
Critical considerations for successful CDK4 immunoprecipitation:
Buffer composition effects:
Use low-detergent buffers for maintaining protein-protein interactions
Include phosphatase inhibitors for phospho-epitope preservation
Adjust salt concentration based on desired stringency
Antibody selection criteria:
Choose antibodies specifically validated for immunoprecipitation
For T172-phosphorylated CDK4, LA2-AD4 mAb (3.5 μg per 1 mg protein lysate) has been validated
Consider using a cocktail of antibodies recognizing different epitopes
Technical optimization parameters:
Adjust antibody-to-lysate ratio (typically 3-5 μg antibody per mg of protein)
Optimize incubation time and temperature (overnight at 4°C generally recommended)
Pre-clear lysates to reduce non-specific binding
Validation approaches:
Methodological approach for phospho-CDK4 antibody development:
Immunogen design strategy:
Use long phosphopeptides that include the complete activation segment of CDK4
For T172 phosphorylation, design peptides with phosphothreonine residue centered
Consider KLH fusion for improved immunogenicity
Screening protocol:
Develop ELISA screening with both phosphorylated and non-phosphorylated peptides
Create phosphorylated and non-phosphorylated cyclin D/CDK4 fusions with biotinylatable tags for validation
Screen hybridoma supernatants for differential binding
Validation sequence:
Test against recombinant phosphorylated versus non-phosphorylated proteins
Validate with lysates from cells treated with or without CDK4 activators
Confirm with CDK4 knockout or knockdown controls
Test sensitivity to phosphatase treatment
Cross-reactivity assessment:
Specialized techniques for studying CDK4-CKI interactions:
Co-immunoprecipitation workflow:
Immunoprecipitate with T172-phosphorylated CDK4-specific antibodies
Analyze co-precipitated p21 and p27 with phospho-specific antibodies
Research indicates privileged interaction of T172-phosphorylated CDK4 with S130-phosphorylated p21 and S10-phosphorylated p27
Sequential immunoprecipitation approach:
First immunoprecipitate with CDK4 antibodies
Then analyze bound fraction for CKIs
Re-immunoprecipitate remaining lysate to quantify unbound CKIs
In situ analysis methods:
Use proximity ligation assays to visualize CDK4-CKI interactions
Perform FRET analysis with labeled antibodies to study interaction dynamics
Quantitative analysis strategy:
Advanced computational approaches for antibody engineering:
Biophysics-informed modeling approach:
Train models on experimentally selected antibodies
Associate each potential ligand with a distinct binding mode
Use this to predict and generate specific variants beyond experimental observations
Phage display optimization workflow:
Conduct phage display experiments with antibody selection against diverse ligand combinations
Use high-throughput sequencing to analyze selected antibodies
Feed data into computational models to identify binding determinants
Custom specificity profile design:
Cutting-edge single-cell methodologies:
Multiplexed imaging technique:
Combine CDK4 phospho-antibodies with markers for cell cycle phases
Use cyclin antibodies to create comprehensive cell cycle profiles
Apply spectral unmixing for simultaneous detection of multiple markers
Flow cytometry-based approach:
Pair phospho-CDK4 antibodies with DNA content analysis
Add EdU incorporation to identify S-phase cells
Create multidimensional datasets for cell cycle progression analysis
Mass cytometry (CyTOF) strategy:
Use metal-tagged CDK4 antibodies with other cell cycle markers
Analyze dozens of parameters simultaneously
Quantify CDK4 activity across heterogeneous cell populations
Single-cell Western blot application: