The antibody is raised against a synthesized phosphopeptide derived from human Cyclin H encompassing the T315 phosphorylation site (amino acid range 274–323) . Its specificity ensures binding exclusively to Cyclin H when phosphorylated at Thr315, distinguishing it from non-phosphorylated forms .
The antibody is validated for multiple downstream assays, with recommended dilutions varying by application:
| Assay | Dilution Range |
|---|---|
| Western Blot (WB) | 1:500–1:3000 , 1:500–1:2000 |
| ELISA | 1:10,000 |
| Immunohistochemistry (IHC) | 1:100–1:300 |
| Immunofluorescence (IF) | 1:50–200 |
Extensive validation data confirms the antibody’s specificity and sensitivity:
Detects a single band (~37.6 kDa) corresponding to phosphorylated Cyclin H in lysates from HepG2, Jurkat, HUVEC, and A549 cells.
Blocked by pre-incubation with the phosphopeptide immunogen, confirming target specificity.
Stains nuclear regions in paraffin-embedded human brain tissue, with no signal in peptide-blocked controls.
Shows high affinity for the phosphopeptide (IC50 ≈ 1:10,000), with negligible cross-reactivity to non-phosphorylated peptides.
Cyclin H (CCNH) is a core component of the CDK-activating kinase (CAK) complex, which phosphorylates and activates CDK1, CDK2, and CDK6 . Phosphorylation at T315 is critical for its role in:
Cell Cycle Regulation: Activating CDKs required for G1/S and G2/M transitions.
Transcriptional Control: Associating with TFIIH to phosphorylate RNA polymerase II’s C-terminal domain (CTD) .
DNA Repair: Interacting with nucleotide excision repair pathways .
The antibody enables researchers to monitor these processes dynamically, offering insights into cancer biology, transcriptional regulation, and cell cycle dysregulation .
Multiple vendors provide this antibody with slight variations in packaging and pricing:
Cyclin H (CCNH) is a 37.6 kDa protein that functions as a component of the CDK-activating kinase (CAK) complex, which plays a critical role in cell cycle regulation. The phosphorylation at threonine 315 is a post-translational modification that regulates Cyclin H activity and interactions with other proteins in the cell cycle machinery. This specific phosphorylation event is implicated in modulating CAK activity, which in turn affects downstream cell cycle progression and transcriptional regulation. Understanding this modification provides insights into fundamental cellular processes and potential dysregulation in disease states .
Phospho-CCNH (Thr315) Antibody can be utilized in multiple experimental techniques including:
Western Blotting (WB): For detecting denatured phosphorylated Cyclin H in protein lysates
Immunohistochemistry (IHC): For visualizing phospho-Cyclin H in tissue sections
Immunofluorescence/Immunocytochemistry (IF/ICC): For cellular localization studies
Cell-Based ELISA: For high-throughput quantitative analysis in cultured cells
The antibody shows confirmed reactivity with human and mouse samples, with predicted reactivity in additional species including pig, zebrafish, horse, sheep, rabbit, dog, and chicken . For optimal results, each application requires specific optimization of antibody dilution and sample preparation protocols.
Sample preparation is crucial for phospho-specific antibody detection. To preserve the phosphorylation status of Cyclin H at Thr315:
Include phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate, β-glycerophosphate) in all lysis and extraction buffers
Maintain samples at 4°C during processing to minimize dephosphorylation
Use appropriate lysis buffers containing detergents (e.g., NP-40 or Triton X-100) to solubilize membrane-associated proteins while preserving phosphorylation
Process samples rapidly to minimize degradation and dephosphorylation events
Consider flash-freezing tissues immediately after collection in liquid nitrogen
These precautions are essential as phosphorylation is a labile modification that can be rapidly lost during sample handling .
Validating the specificity of phospho-specific antibody signals requires multiple controls:
Dephosphorylation control: Treat a portion of your sample with lambda phosphatase to remove phosphate groups and confirm signal loss
Blocking peptide competition: Pre-incubate the antibody with the phosphorylated immunogen peptide to block specific binding
Non-phosphorylated control: Compare signals between phosphorylated and non-phosphorylated forms using total Cyclin H antibody
Knockout/knockdown validation: Use CCNH knockout or knockdown samples as negative controls
Phosphorylation induction: Use treatments known to induce Thr315 phosphorylation as positive controls
A combination of these approaches provides robust validation of antibody specificity, particularly important when working with novel experimental systems or when unexpected results are observed .
For detecting low-abundance phosphorylated Cyclin H:
For Western Blotting:
Enrich phosphoproteins using phosphoprotein enrichment kits prior to SDS-PAGE
Use high-sensitivity detection systems (ECL Prime or Femto)
Increase protein loading (50-100 μg total protein)
Optimize transfer conditions for proteins in the 38 kDa range
Consider using PVDF membranes which may provide better retention of phosphoproteins
Use 5% BSA instead of milk for blocking and antibody diluent
For Immunoprecipitation followed by Western Blotting:
Immunoprecipitate with total Cyclin H antibody first, then probe with phospho-specific antibody
Use at least 500 μg of total protein lysate for immunoprecipitation
Include phosphatase inhibitors throughout the procedure
For Cell-Based ELISA:
Use a minimum of 5000 cells per well for reliable detection
Compare phospho-signal to total protein signal for normalization
Multiplexing phospho-protein detection requires careful experimental design:
Sequential immunoblotting: Strip and reprobe membranes, ensuring complete stripping verification between each antibody
Fluorescent multiplexing: Use antibodies from different host species coupled with spectrally distinct fluorescent secondary antibodies
Mass spectrometry approaches: For comprehensive phosphorylation profiling, consider SureQuant pTyr enrichment methodology that allows for targeted monitoring of multiple phosphorylation events simultaneously
Cell-Based ELISA with multiple controls: Parallel wells with total protein and different phospho-protein antibodies
When multiplexing, carefully consider antibody cross-reactivity and optimize blocking conditions to minimize background. For mass spectrometry approaches, incorporate heavy-labeled internal standard peptides for accurate quantification and use phosphotyrosine-specific enrichment with combined antibodies (4G10, PT66, pY100) for comprehensive coverage .
Interpreting phosphorylation data requires consideration of both phospho-specific and total protein signals:
Calculate the phospho-to-total protein ratio to normalize for changes in total protein expression
Consider temporal dynamics—phosphorylation changes often precede observable phenotypic outcomes
Correlate with relevant functional assays (e.g., cell cycle analysis, CDK activity assays)
Compare with other components of the CAK complex (CDK7, MAT1) for comprehensive pathway analysis
Common causes of false positives:
Cross-reactivity with similar phosphorylation motifs in other proteins
Insufficient blocking leading to non-specific binding
Overly sensitive detection systems amplifying background
Sample contamination with phosphatase inhibitors affecting control samples
Common causes of false negatives:
Phosphorylation loss during sample preparation
Insufficient antigen retrieval for fixed tissues
Epitope masking due to protein-protein interactions
Suboptimal antibody concentration or incubation conditions
Rapid dephosphorylation kinetics in your experimental system
To mitigate these issues, always include proper positive and negative controls, optimize sample preparation protocols, and validate results using complementary techniques .
When facing inconsistent results between methods:
Consider method sensitivities: Cell-based ELISA typically offers higher sensitivity than Western blotting
Evaluate sample preparation differences: Each method may require different sample processing that affects phosphorylation preservation
Assess antibody performance in different contexts: The antibody may perform differently under native (ELISA/IF) versus denatured (WB) conditions
Check for interfering factors: Buffer components or contaminating proteins may affect specific methods differently
Confirm with orthogonal approaches: Use mass spectrometry-based phosphoproteomics as an antibody-independent method to validate key findings
Systematic troubleshooting should include side-by-side comparison using standardized samples and detailed documentation of all experimental variables .
Phospho-CCNH (Thr315) antibodies provide valuable tools for investigating cell cycle dysregulation in cancer:
Comparative analysis: Profile phospho-CCNH levels across normal tissues, tumor cell lines, and patient samples to identify aberrant phosphorylation
Drug response studies: Monitor phospho-CCNH changes following treatment with CDK inhibitors, chemotherapeutics, or targeted therapies
Pathway mapping: Combine with other CAK component analyses to characterize altered signaling networks
Prognostic indicator research: Correlate phospho-CCNH levels with clinical outcomes in patient cohorts
Mechanistic studies: Use phospho-mutants (T315A or T315E) to investigate functional consequences of this modification
For colorectal cancer studies, phosphotyrosine profiling has provided complementary insights to traditional genomic and transcriptomic characterization, identifying patient-specific oncogenic mechanisms. Similar approaches could be applied using phospho-CCNH as a biomarker .
To effectively capture dynamic phosphorylation changes:
Time-course experiments: Collect samples at multiple timepoints after stimulus application
Synchronization protocols: Use cell cycle synchronization methods (serum starvation, double thymidine block, nocodazole arrest) followed by release to track cell cycle-dependent phosphorylation
Single-cell analysis: Consider phospho-flow cytometry or imaging approaches to address cell-to-cell variability
Pulse-chase designs: Use kinase inhibitors or activators in pulse-chase experiments to determine phosphorylation and dephosphorylation kinetics
Quantitative analysis: Employ cell-based ELISA kits for high-throughput quantitative assessment across multiple conditions
When designing these experiments, include appropriate normalization controls (GAPDH, total protein) and consider the half-life of the phosphorylation event, which may require closely spaced timepoints for rapidly changing modifications .
Multi-omics integration enhances the value of phosphorylation data:
Phosphoproteomics integration: Combine targeted phospho-CCNH analysis with global phosphoproteomic profiling to place the modification in broader signaling context
Transcriptomics correlation: Link phospho-CCNH levels to transcriptional changes of cell cycle genes to establish functional consequences
Genomic context: Analyze phospho-CCNH in the context of cancer mutations affecting the CDK-activating kinase pathway
Protein interaction networks: Use proximity labeling or co-immunoprecipitation to identify phosphorylation-dependent interaction partners
Functional screening: Combine with CRISPR or RNAi screens to identify synthetic interactions with CCNH phosphorylation status
SureQuant targeted phosphoproteomic approaches have demonstrated value in colorectal tumor analysis, requiring minimal sample input while providing mechanistic insights complementary to traditional biomarkers. Similar strategies could be applied to investigate CCNH phosphorylation in various disease contexts .
| Feature | Antibody-Based Methods | Mass Spectrometry |
|---|---|---|
| Specificity | Dependent on antibody quality; potential cross-reactivity | Highly specific; can distinguish similar phosphosites |
| Sensitivity | High sensitivity (pg-ng range) | Variable; typically requires more material |
| Throughput | High for ELISA; moderate for WB | Lower throughput; complex sample preparation |
| Multiplexing | Limited to few targets simultaneously | Can detect hundreds of phosphosites in one run |
| Quantification | Semi-quantitative unless using calibrated standards | Can be highly quantitative with internal standards |
| Novel site discovery | Cannot detect novel sites | Can identify previously unknown phosphosites |
| Sample requirements | Works with limited material | Typically requires more starting material |
| Technical expertise | Accessible to most labs | Requires specialized equipment and expertise |
For comprehensive phosphorylation profiling, targeted mass spectrometry approaches like SureQuant can complement antibody-based detection, particularly when analyzing complex clinical samples. The combined approach provides both targeted quantification and broader pathway insights .
Different experimental models present unique considerations:
Cell lines:
Ensure cell line authenticity and passage number consistency
Consider baseline phosphorylation levels which vary between cell types
Growth conditions (confluence, serum, oxygen) affect phosphorylation status
Animal models:
Confirm antibody cross-reactivity with the species being studied
Consider tissue-specific expression patterns of CCNH
Optimize tissue collection and preservation to maintain phosphorylation
Patient samples:
Standardize collection procedures to minimize ischemic time
Document clinical variables that may affect phosphorylation
Consider tumor heterogeneity when interpreting results
Use parallel FFPE and frozen samples for validation
3D cultures and organoids:
May require modified lysis protocols to ensure complete protein extraction
Consider regional differences in phosphorylation within 3D structures
Validate antibody performance in these complex systems
The antibody shows confirmed reactivity with human and mouse samples, with predicted reactivity in additional species that should be experimentally validated before extensive studies .
To establish meaningful correlations between phosphorylation and function:
Functional readouts: Pair phosphorylation analysis with relevant functional assays:
Cell cycle progression (flow cytometry)
CDK7 kinase activity assays
Transcriptional activity of CDK7 targets
Cell proliferation rates
Response to cellular stressors
Genetic manipulation:
Generate phospho-mimetic (T315E) or phospho-deficient (T315A) mutants
Use CRISPR/Cas9 to introduce these mutations at endogenous loci
Compare phenotypes with wild-type under various conditions
Pharmacological approaches:
Use specific kinase inhibitors to modulate the pathway
Correlate drug dose with phosphorylation level and functional outcome
Establish dose-response curves for both phosphorylation and function
Mathematical modeling:
Develop quantitative models incorporating phosphorylation kinetics
Use systems biology approaches to predict functional outcomes
Validate model predictions experimentally
Clinical correlations:
For patient samples, correlate phospho-CCNH levels with clinical parameters
Consider multivariate analysis to account for confounding factors
Validate findings across independent patient cohorts
These approaches provide robust evidence for causal relationships between phosphorylation events and biological functions, essential for mechanistic understanding and potential therapeutic targeting .