This antibody targets CDKN1C, a potent, tight-binding inhibitor of several G1 cyclin/CDK complexes, including cyclin E-CDK2, cyclin D2-CDK4, and cyclin A-CDK2. It also inhibits, to a lesser extent, the mitotic cyclin B-CDC2 complex. CDKN1C functions as a negative regulator of cell proliferation and may play a crucial role in maintaining a non-proliferative state throughout the organism's lifespan.
CDKN1C's role in cellular processes is extensively documented in the literature. Key findings include:
CDKN1C (cyclin-dependent kinase inhibitor 1C), also known as p57KIP2, is a key cell cycle regulator belonging to the Cip/Kip family of CDK inhibitors. The protein functions primarily by binding to and inhibiting several cyclin/CDK complexes, thereby negatively regulating cell proliferation and contributing to cell cycle arrest at G1 phase.
The acetylation at lysine 278 (K278) represents an important post-translational modification that can significantly alter CDKN1C's functionality. This specific modification affects protein-protein interactions, subcellular localization, and potentially the protein's stability. When studying cell cycle regulation mechanisms, the ability to detect this specific acetylation site provides valuable insights into how post-translational modifications modulate CDKN1C's inhibitory functions in different cellular contexts .
The key differentiating factor is epitope specificity. The Acetyl-CDKN1C (K278) Antibody specifically recognizes the acetylated lysine at position 278 of human p57 protein, making it suitable for studying this particular post-translational modification. This contrasts with standard CDKN1C antibodies that may recognize the protein regardless of its acetylation status .
Non-acetylation specific antibodies, such as the one described in search result , target different regions of CDKN1C (like the AA range 241-290) but are not sensitive to the acetylation state. This distinction is crucial when designing experiments to investigate the specific role of K278 acetylation in various cellular processes .
The immunogen used for generating the Acetyl-CDKN1C (K278) Antibody is a synthesized peptide derived from human p57 specifically surrounding the acetylation site at K278, ensuring high specificity for this modified form of the protein .
Based on manufacturer validations, Acetyl-CDKN1C (K278) Antibody is suitable for:
Western Blot (WB): The antibody can detect the acetylated form of CDKN1C in protein lysates, with recommended dilutions typically in the range of 1:500-1:2000 .
ELISA (Enzyme-Linked Immunosorbent Assay): Enables quantitative detection of acetylated CDKN1C in various sample types .
While these are the validated applications, researchers should consider that other CDKN1C antibodies have been successfully used in additional techniques such as:
When adapting the Acetyl-CDKN1C (K278) Antibody for applications beyond those validated by the manufacturer, appropriate optimization and validation steps should be performed to ensure specificity and sensitivity in the new context.
Investigating cellular stress response using this antibody requires an integrated experimental approach:
Stress Induction Protocol Design: Establish models exposing cells to various stressors (oxidative stress, DNA damage, metabolic stress) with appropriate time courses.
Comparative Analysis Framework: Design experiments that assess both total CDKN1C levels (using a non-acetylation specific antibody) and acetylated CDKN1C at K278 simultaneously across treatment conditions.
Temporal Profiling: Monitor acetylation changes at K278 over a time course following stress induction, which often reveals dynamic regulation patterns.
Co-localization Studies: Combine the Acetyl-CDKN1C (K278) Antibody with markers for subcellular compartments to track stress-induced relocalization.
Enzyme Inhibition Approaches: Use histone deacetylase (HDAC) inhibitors or acetylase inhibitors alongside stress treatments to determine which enzymes regulate K278 acetylation under stress conditions.
The appropriate dilution ratio for Western blot applications (1:500-1:2000) should be optimized based on your specific cellular model and stress conditions . This methodological framework allows researchers to establish connections between specific stressors and CDKN1C acetylation dynamics, potentially revealing novel regulatory mechanisms.
A robust experimental design for studying CDKN1C acetylation should include:
Positive Controls:
Lysates from cells treated with HDAC inhibitors (e.g., trichostatin A or sodium butyrate) to increase global protein acetylation
Recombinant acetylated CDKN1C protein (if available)
Cell lines known to express high levels of acetylated CDKN1C
Negative Controls:
CDKN1C knockout/knockdown samples
Samples treated with deacetylase enzymes
Peptide competition assays using the acetylated immunogen peptide
Technical Controls:
Parallel blots with antibodies targeting total CDKN1C to normalize acetylation levels
Loading controls (e.g., β-actin, GAPDH) to ensure equal protein loading
Use of both acetylation-specific and non-acetylation specific CDKN1C antibodies on the same samples for comparison
Validation Controls:
Immunoprecipitation followed by mass spectrometry to confirm the presence of acetylation at K278
Site-directed mutagenesis of K278 to arginine (K278R) to create an acetylation-deficient mutant
The inclusion of these controls helps validate the specificity of the observed signals and ensures that experimental observations truly reflect changes in CDKN1C acetylation rather than artifacts or non-specific binding.
Optimized Western Blot Protocol for Acetyl-CDKN1C (K278) Detection:
Sample Preparation:
Harvest cells during appropriate cell cycle phase (G1 arrest typically shows highest CDKN1C expression)
Lyse cells in buffer containing deacetylase inhibitors (e.g., 5-10 mM nicotinamide, 1 μM trichostatin A)
Clear lysates by centrifugation (14,000 g, 15 min, 4°C)
Determine protein concentration (BCA or Bradford assay)
Gel Electrophoresis and Transfer:
Load 20-50 μg protein per lane on 10-12% SDS-PAGE gels
Include molecular weight markers covering the 30-40 kDa range
Transfer to PVDF membrane (recommended over nitrocellulose for acetylated proteins)
Confirm transfer efficiency with reversible staining (Ponceau S)
Antibody Incubation:
Block membrane in 5% BSA in TBST (not milk, which contains deacetylases)
Incubate with Acetyl-CDKN1C (K278) Antibody at 1:1000 dilution in 5% BSA/TBST overnight at 4°C
Wash 3× with TBST, 10 minutes each
Incubate with HRP-conjugated secondary antibody (anti-rabbit) at 1:5000 in 5% BSA/TBST for 1 hour at room temperature
Wash 3× with TBST, 10 minutes each
Detection and Analysis:
Develop using enhanced chemiluminescence (ECL) substrate
Expected band at approximately 39 kDa (observed) or 32.2 kDa (calculated)
Quantify signal relative to total CDKN1C and loading controls
Troubleshooting Notes:
If non-specific bands appear, increase blocking time and antibody dilution
If signal is weak, reduce antibody dilution to 1:500 and extend exposure time
The observed molecular weight (39 kDa) may differ from the calculated weight (32.2 kDa) due to post-translational modifications
Preserving acetylation status during sample preparation is critical for accurate detection with Acetyl-CDKN1C (K278) Antibody:
Cell/Tissue Harvesting:
Process samples rapidly to minimize enzymatic deacetylation
When possible, treat live cells with membrane-permeable deacetylase inhibitors (1 μM TSA, 5 mM nicotinamide) 30 minutes before harvesting
Lysis Buffer Composition:
Base buffer: 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% NP-40 or Triton X-100
Deacetylase inhibitors: 5-10 mM nicotinamide, 1 μM trichostatin A, 10 mM sodium butyrate
Protease inhibitors: Complete protease inhibitor cocktail
Phosphatase inhibitors: 1 mM sodium orthovanadate, 10 mM sodium fluoride
Storage Conditions:
Aliquot lysates to minimize freeze-thaw cycles
Store at -80°C for long-term storage
Add fresh deacetylase inhibitors when thawing samples
Sample Handling During Experimentation:
Keep samples on ice at all times
Add deacetylase inhibitors to all buffers used in immunoprecipitation procedures
Avoid detergents that may preferentially solubilize non-acetylated forms of the protein
This careful approach to sample preparation ensures that the acetylation state of CDKN1C is maintained throughout experimental procedures, allowing for reliable detection of the acetylated K278 site .
The discrepancy between the observed molecular weight (39 kDa) and calculated molecular weight (32.2 kDa) of CDKN1C is a common phenomenon that requires careful interpretation:
Causes of Higher Apparent Molecular Weight:
| Factor | Mechanism | Impact on Migration |
|---|---|---|
| Post-translational modifications | Phosphorylation, acetylation, glycosylation, ubiquitination | +2-10 kDa depending on modification type and extent |
| Protein structure elements | Proline-rich regions, hydrophobic domains | Altered SDS binding affecting migration |
| Inherent protein properties | Acidic or basic regions affecting SDS binding | Deviation from expected migration pattern |
| Technical factors | Gel percentage, buffer composition, running conditions | Systematic shift in apparent molecular weight |
Interpretation Guidelines:
Confirmation of Identity:
Perform peptide competition assays with the immunizing peptide
Use CDKN1C knockout/knockdown controls to verify band specificity
Compare migration patterns with other validated CDKN1C antibodies
Analysis of Modifications:
Treat samples with phosphatases, deacetylases, or deglycosylation enzymes to determine if modifications contribute to the observed weight
Compare migration patterns across different tissue/cell types that may have different CDKN1C modification profiles
Technical Verification:
Run gradient gels to better resolve the protein
Use alternative molecular weight markers
Employ different electrophoresis buffer systems
The 7 kDa difference observed with CDKN1C is consistent with the presence of multiple post-translational modifications, which are known to regulate CDKN1C function in different cellular contexts. Rather than indicating an experimental problem, this discrepancy likely reflects biologically relevant modifications of the protein .
When encountering weak or inconsistent signals with Acetyl-CDKN1C (K278) Antibody, implement this structured troubleshooting approach:
Signal Enhancement Strategies:
Sample Preparation Optimization:
Increase deacetylase inhibitor concentrations in lysis buffer
Enrich acetylated proteins using anti-acetyllysine antibody immunoprecipitation before Western blot
Use fresh samples whenever possible, as acetylation can be lost during storage
Protocol Adjustments:
Decrease antibody dilution (try 1:500 if using 1:1000)
Extend primary antibody incubation to overnight at 4°C
Switch membrane type (PVDF often retains acetylated proteins better than nitrocellulose)
Increase protein loading (up to 50-75 μg per lane)
Use a more sensitive detection system (e.g., SuperSignal West Femto)
Biological Considerations:
Verify CDKN1C expression levels in your cell type or tissue
Consider cell cycle synchronization to maximize CDKN1C expression
Treat cells with HDAC inhibitors to increase global acetylation
Consistency Improvement Measures:
Standardize Sample Handling:
Establish a consistent time between harvest and lysis
Standardize freeze-thaw cycles
Use consistent protein quantification methods
Technical Standardization:
Use the same gel system and transfer conditions
Prepare fresh transfer buffer for each experiment
Standardize incubation times and temperatures
Controls Implementation:
Run positive control samples (HDAC inhibitor-treated cells) on each blot
Use internal reference standards across blots
Implement technical replicates within experiments
When implemented systematically, these approaches can significantly improve signal quality and consistency when working with the acetylation-specific Acetyl-CDKN1C (K278) Antibody .
Investigating PTM cross-talk requires sophisticated experimental design:
Sequential Immunoprecipitation Approach:
First IP: Use Acetyl-CDKN1C (K278) Antibody to isolate acetylated CDKN1C
Secondary analysis: Probe with antibodies against other PTMs (phosphorylation, ubiquitination)
Alternative: Reverse the order to determine if other PTMs precede or follow acetylation
Mass Spectrometry Integration:
Immunoprecipitate with Acetyl-CDKN1C (K278) Antibody
Analyze by LC-MS/MS to identify co-occurring modifications
Create a modification map showing relationships between K278 acetylation and other PTMs
Enzyme Modulation Studies:
Treat cells with combinations of enzyme inhibitors targeting different modifications
Example experimental design:
| Treatment Group | HDAC Inhibitor | Kinase Inhibitor | Proteasome Inhibitor | Expected Outcome |
|---|---|---|---|---|
| Control | No | No | No | Baseline PTM pattern |
| Acetylation enhanced | Yes | No | No | Increased K278 acetylation |
| Phosphorylation inhibited | No | Yes | No | Effect on K278 acetylation? |
| Combined modulation | Yes | Yes | No | Synergistic/antagonistic effects? |
| Degradation inhibited | No | No | Yes | Accumulation of modified forms |
Temporal Dynamics Analysis:
Time-course experiments following stimulation
Compare appearance/disappearance rates of different PTMs
Establish cause-effect relationships between modifications
This multi-faceted approach can reveal whether K278 acetylation is dependent on, or a prerequisite for, other modifications, deepening our understanding of CDKN1C regulation .
The Acetyl-CDKN1C (K278) Antibody shows reactivity to human, mouse, and rat samples, but cross-species applications require careful consideration:
Sequence Conservation Analysis:
| Species | K278 Region Sequence | Homology to Human | Expected Cross-Reactivity |
|---|---|---|---|
| Human | Reference sequence | 100% | High (validated) |
| Mouse | High conservation around K278 | ~90-95% | Good (validated) |
| Rat | High conservation around K278 | ~90-95% | Good (validated) |
| Other mammals | Variable conservation | 70-90% | Requires validation |
| Non-mammals | Lower conservation | <70% | Likely limited |
Cross-Species Validation Steps:
Preliminary Assays:
Run Western blots with positive controls from each species
Compare band intensities and molecular weights
Verify specificity with blocking peptides
Concentration Adjustments:
May require higher antibody concentrations for less conserved species
Recommended starting dilution for non-validated species: 1:500
Alternative Detection Methods:
Consider more sensitive detection systems for weakly cross-reactive species
Longer exposure times may be necessary
Controls for Non-validated Species:
Include acetylation-inducing treatments as positive controls
Run parallel blots with species-specific total CDKN1C antibodies
Consider acetylation site-specific mutants if available
When working with species beyond human, mouse, and rat, preliminary validation experiments are essential to confirm antibody performance and optimize conditions for reliable detection of acetylated CDKN1C .
Integrating Acetyl-CDKN1C (K278) analysis into multi-omics research requires strategic experimental design:
Proteomics Integration:
Parallel analysis of total proteome, acetylome, and CDKN1C interactome
Correlation between K278 acetylation and global acetylation patterns
Network analysis to identify functional connections
Transcriptomics Correlation:
RNA-seq to identify genes whose expression correlates with CDKN1C K278 acetylation status
ChIP-seq with Acetyl-CDKN1C (K278) Antibody to identify genomic binding sites
Integration of expression data with CDKN1C binding patterns
Metabolomics Connections:
Analyze metabolic changes associated with altered CDKN1C acetylation
Focus on acetyl-CoA metabolism as the acetyl donor for protein acetylation
Investigate NAD+ metabolism affecting SIRT-family deacetylases
Data Integration Framework:
| Omics Layer | Technology | Connection to CDKN1C Acetylation | Analysis Approach |
|---|---|---|---|
| Genomics | WGS/WES | Genetic variants affecting acetylation | Variant annotation, regulatory element analysis |
| Transcriptomics | RNA-seq | Expression changes correlated with acetylation | Differential expression, co-expression networks |
| Proteomics | MS/WB | Direct measurement of K278 acetylation | PTM site mapping, quantitative analysis |
| Acetylomics | Acetyl-enriched MS | Global acetylation patterns | Pathway enrichment of acetylated proteins |
| Interactomics | IP-MS with acetyl-specific antibody | Differential interactions based on acetylation | Protein-protein interaction networks |
| Metabolomics | LC-MS | Metabolites affecting acetylation machinery | Pathway analysis, metabolite set enrichment |
Computational Integration:
Machine learning approaches to identify patterns across omics layers
Causal network modeling to establish regulatory relationships
Visualization of multi-dimensional data centered on CDKN1C acetylation
This integrative approach provides a comprehensive understanding of how K278 acetylation of CDKN1C fits into broader cellular regulatory networks .
Working with patient-derived samples requires specialized protocols to maintain acetylation status and account for sample variability:
Sample Collection and Processing:
Timing Considerations:
Minimize time between sample collection and processing
Document ischemia time as it affects acetylation patterns
Process samples within 30 minutes when possible
Preservation Methods:
Flash-freezing in liquid nitrogen preferred for acetylation studies
For FFPE samples, use acetylation-preserving fixation protocols:
Short fixation times (≤24 hours)
Buffered formalin pH 7.0-7.4
Cold fixation (4°C) when possible
Storage Protocols:
Store at -80°C with minimal freeze-thaw cycles
Document storage duration for all samples
Consider vacuum-sealed storage to prevent oxidation
Analytical Considerations:
Extraction Optimization:
Buffer composition must include deacetylase inhibitors at higher concentrations than cell lines
Additional protease inhibitors to counter elevated proteolytic activity
Techniques to overcome extracellular matrix interference
Normalization Strategies:
Use multiple housekeeping proteins as references
Consider tissue-specific internal controls
Normalize acetylated CDKN1C to total CDKN1C levels
Heterogeneity Management:
Microdissection for enrichment of specific cell types
Single-cell approaches when feasible
Histological verification of sample composition
Clinical Correlation Framework:
Clinical Data Integration:
Standardized collection of relevant clinical parameters
Statistical approaches accounting for confounding variables
Multivariate analysis correlating acetylation with clinical outcomes
Experimental Design:
Include appropriate healthy controls matched for age/sex
Account for medication effects on acetylation machinery
Consider disease-specific factors affecting global acetylation
This methodological framework ensures reliable detection of CDKN1C acetylation in patient samples while accounting for the inherent challenges of clinical specimens .