CK7 antibodies target the 54 kDa cytokeratin protein, which is selectively expressed in glandular and transitional epithelia but absent in stratified squamous epithelia . These antibodies are widely used in immunohistochemistry (IHC) and immunofluorescence to identify tumor origins, such as differentiating ovarian, lung, or breast carcinomas (CK7-positive) from gastrointestinal or colorectal cancers (CK7-negative) .
Clone EPR17078: A rabbit monoclonal antibody validated for use in Western blot (WB), IHC, and flow cytometry. It shows no cross-reactivity with other intermediate filaments and is confirmed via knockout cell line validation .
Clone OV-TL 12/30: A mouse monoclonal antibody with high specificity for CK7, widely used to distinguish breast and lung adenocarcinomas from colorectal tumors .
Clone SP52: A rabbit monoclonal antibody optimized for formalin-fixed, paraffin-embedded (FFPE) tissues, demonstrating cytoplasmic staining in breast and lung epithelia .
CK7 antibodies aid in detecting metastatic cancers by identifying the primary site of epithelial malignancies .
In research settings, CK7 antibodies are used to study cell differentiation and cytoskeletal organization .
CK7 antibodies are pivotal in diagnostic workflows:
Tumor Subtyping:
| Tissue Type | CK7 Expression | Common Use Case |
|---|---|---|
| Breast carcinoma | Positive | Differentiation from GI cancers |
| Colorectal carcinoma | Negative | Exclusion of lung/breast origins |
| Ovarian carcinoma | Positive | Confirmation of Müllerian origin |
Protocols:
CDC7 (Cell division cycle 7-related protein kinase) is a highly conserved eukaryotic protein kinase that plays a crucial role in DNA replication. Antibodies against CDC7 are valuable research tools for studying cell cycle regulation, DNA replication, and potentially cancer development. The cell division cycle 7-related protein kinase is being intensely studied because of its significant function in DNA replication, making antibodies against it essential tools for such investigations . These antibodies enable researchers to detect, localize, and quantify CDC7 protein in various experimental contexts, offering insights into fundamental cellular processes and disease mechanisms.
Monoclonal antibodies against CDC7 are typically generated using hybridoma technology. This involves immunizing animals with CDC7 antigens, harvesting B cells, and fusing them with myeloma cells to create immortalized hybridoma cell lines that secrete antibodies with specific affinity for CDC7. For example, researchers have successfully developed the hybridoma strain 2G12 that secretes specific monoclonal antibodies against human CDC7 using this technique . The process includes antigen preparation, animal immunization, cell fusion, hybridoma screening, antibody production, and characterization. The isotope classification (such as IgG2a/κ) and affinity constant are determined through ELISA and other analytical methods to validate antibody specificity and binding strength .
CDC7 antibodies serve multiple research purposes:
Western blotting: For detecting CDC7 protein levels in cell and tissue lysates
Immunohistochemistry: For visualizing CDC7 expression patterns in tissue sections
Immunofluorescence: For subcellular localization studies
Flow cytometry: For analyzing CDC7 expression in cell populations
Immunoprecipitation: For isolating CDC7 and associated protein complexes
Western blot analysis has been used to demonstrate that CDC7 is largely expressed in certain cell lines, such as HCCLM3 . Properly characterized antibodies, like those validated by ELISA and Western blot techniques, provide reliable tools for these applications.
CDC7 antibodies can be conjugated with various fluorophores or enzymes to enhance detection capabilities:
Fluorophores: Common conjugates include traditional dyes (FITC, TRITC, Cy3, Cy5), Alexa Fluor derivatives (AF350, AF488, AF555, AF594, AF647), and newer iFluor and mFluor series
Tandems: APC, PE and their derivatives (APC/Cy7, PE/Cy5, etc.) for multicolor flow cytometry
Enzymes: HRP or alkaline phosphatase for enhanced sensitivity in immunoassays
The choice of conjugate depends on the experimental application, detection system, and other fluorophores used in multiplexed experiments. For example, APC/Cy7-labeled secondary antibodies (ex/em = 754/779 nm) can be used in flow cytometry experiments requiring far-red detection channels .
Optimizing CDC7 antibody-based immunoprecipitation requires careful consideration of several parameters:
Antibody selection: For co-immunoprecipitation studies, choose antibodies that bind to CDC7 epitopes not involved in protein-protein interactions. Monoclonal antibodies with characterized binding sites (like the 2G12 hybridoma-derived antibody) are preferable for consistent results .
Cell lysis conditions: Use buffers that preserve protein interactions while efficiently extracting CDC7:
For nuclear proteins: Nuclear extraction buffers with 0.1-0.5% NP-40 or Triton X-100
For cytoplasmic fraction: Isotonic buffers with mild detergents
Cross-linking considerations: For transient interactions, consider reversible cross-linking with DSP (dithiobis[succinimidyl propionate]) or formaldehyde before lysis.
Pre-clearing strategy: Pre-clear lysates with protein A/G beads to reduce non-specific binding.
Controls: Always include:
Elution methods: For mass spectrometry applications, consider competitive elution with CDC7 peptides rather than denaturing elution.
This methodology enables identification of novel CDC7 binding partners and regulatory mechanisms affecting DNA replication and cell cycle progression.
When troubleshooting non-specific binding in CDC7 immunohistochemistry, consider these critical factors:
Antibody validation: Confirm antibody specificity through Western blot analysis on cell lines with known CDC7 expression levels (e.g., HCCLM3 as a positive control) . Validate using multiple antibody clones if available.
Fixation effects: Different fixatives impact epitope availability:
| Fixative | Advantages | Limitations | Recommended for CDC7 |
|---|---|---|---|
| Formalin | Good morphology | May mask epitopes | Requires heat-mediated retrieval |
| Acetone | Minimal epitope masking | Poor morphology | Fresh frozen sections only |
| Methanol | Good for nuclear proteins | Can denature some epitopes | Often suitable for CDC7 |
Antigen retrieval optimization: Test multiple methods:
Heat-induced epitope retrieval (citrate pH 6.0 vs. EDTA pH 9.0)
Enzymatic retrieval (proteinase K, trypsin)
Combination approaches
Blocking protocol refinement:
For polyclonal antibodies: Use 3-5% normal serum from the species of the secondary antibody
For monoclonal antibodies: Consider species-specific blocking reagents
Add 0.1-0.3% Triton X-100 for cytoplasmic/nuclear antigens like CDC7
Antibody concentration titration: Perform serial dilutions to determine optimal concentration that maximizes specific signal while minimizing background.
Secondary antibody considerations: For fluorescent detection, highly cross-adsorbed secondary antibodies reduce cross-reactivity .
Counterstaining compatibility: Some nuclear counterstains may interfere with CDC7 nuclear staining visualization.
Implementing these troubleshooting approaches systematically can significantly improve CDC7 immunohistochemistry specificity and reproducibility.
Designing effective multiplex immunofluorescence assays with CDC7 antibodies requires careful planning:
Spectral compatibility planning: Select fluorophore combinations with minimal spectral overlap:
Sequential staining protocols: When using multiple primary antibodies of the same species:
Apply first primary antibody (e.g., CDC7)
Detect with fluorophore-conjugated secondary
Block with excess unconjugated Fab fragments
Apply subsequent primary antibody
Detect with different fluorophore-conjugated secondary
Signal amplification strategies:
Multiplexing validation:
Compare multiplex staining patterns with single-color controls
Include fluorescence-minus-one (FMO) controls
Validate with alternative detection methods (e.g., Western blot)
Photobleaching minimization:
Mount with anti-fade reagents containing radical scavengers
Minimize exposure times
Consider sequential image acquisition from least to most photostable fluorophores
Image acquisition optimization:
Adjust exposure for each channel independently
Use narrow bandpass filters to minimize crosstalk
Consider spectral unmixing for closely overlapping fluorophores
These methodological considerations enable researchers to simultaneously visualize CDC7 alongside other proteins of interest in complex biological specimens.
Selecting between polyclonal and monoclonal antibodies for CDC7 research involves weighing several factors:
Methodological implications:
For mapping CDC7 protein domains: Monoclonal antibodies with defined epitope recognition are superior for identifying specific domains or post-translational modifications.
For detecting low abundance CDC7: Polyclonal antibodies may provide better sensitivity by binding multiple epitopes, amplifying signal.
For quantitative Western blotting: Monoclonal antibodies like 2G12 provide more consistent results between experiments.
For co-localization studies: Epitope accessibility in fixed specimens may favor polyclonal antibodies in some contexts.
For flow cytometry applications: Consider the accessibility of the epitope in native conformations; monoclonals with characterized epitopes are preferable.
The optimal choice depends on the specific research question, required reproducibility, and experimental system. For critical applications, validation with both antibody types provides complementary information.
A comprehensive CDC7 antibody validation strategy should include:
Positive and negative control samples:
Orthogonal detection methods:
Comparison with mRNA expression (RT-qPCR, RNA-seq)
Mass spectrometry confirmation of immunoprecipitated proteins
Independent antibodies targeting different CDC7 epitopes
Epitope blocking experiments:
Pre-absorb antibody with immunizing peptide/recombinant CDC7
Compare staining patterns with and without blocking
Cell cycle synchronization:
CDC7 expression/activity varies through cell cycle
Compare antibody detection across synchronized populations
Affinity determination:
Species cross-reactivity testing:
Test on samples from multiple species if conservation is expected
Compare to predicted reactivity based on epitope conservation
Application-specific validation:
For IF/IHC: Compare subcellular localization with published data
For IP: Confirm pull-down of known interacting partners
For ChIP: Validate with known CDC7-binding genomic regions
Sensitivity determination:
Create standard curves with recombinant CDC7
Establish limits of detection for each application
This systematic validation approach ensures reliable CDC7 antibody performance in specific experimental contexts and biological systems.
When working with samples containing low CDC7 expression levels, these methodological approaches can enhance detection sensitivity:
Signal amplification techniques:
Tyramide signal amplification (TSA): Can increase sensitivity 10-100 fold for IHC/IF
Biotin-streptavidin systems: Multiple binding sites enhance signal
Polymer detection systems: Dextran polymers carrying multiple enzyme molecules
Sample preparation optimization:
For tissue sections: Optimize fixation time to preserve epitopes (typically 12-24h in 10% NBF)
For cell preparations: Avoid over-fixation with paraformaldehyde (limit to 10-15 minutes)
Consider antigen retrieval optimization: Test multiple buffers and pH conditions
Antibody incubation modifications:
Extended primary antibody incubation (overnight at 4°C)
Increased antibody concentration (titration required)
Addition of signal enhancers (0.1% Triton X-100, 0.1% Tween-20)
Detection system selection:
Reducing background strategies:
Implement stringent blocking (using 3-5% BSA or serum)
Include detergent washing steps (0.1-0.3% Triton X-100)
Consider tissue autofluorescence quenching for IF (Sudan Black B, 0.1% NaBH₄)
Instrument sensitivity maximization:
For microscopy: Use high-NA objectives and sensitive cameras
For flow cytometry: Optimize PMT voltages and compensation
For Western blotting: Consider enhanced chemiluminescence or fluorescent detection systems
These methodological refinements can substantially improve CDC7 detection in challenging samples with low target expression.
Implementing CDC7 antibodies for live-cell imaging requires specialized approaches:
Antibody fragment preparation:
Convert IgG to Fab or F(ab')₂ fragments to improve tissue penetration
Consider single-chain variable fragments (scFv) for reduced size
Validate that fragments retain epitope specificity
Fluorophore selection criteria:
Cell delivery methods:
Microinjection: Direct but low-throughput
Cell-penetrating peptide conjugation (e.g., TAT peptide)
Electroporation: Balance efficiency vs. cell viability
Specialized transfection reagents for protein delivery
Imaging parameters optimization:
Minimize laser power/exposure time to reduce phototoxicity
Use sensitive detection systems (EM-CCD, sCMOS cameras)
Implement deconvolution for improved signal-to-noise ratio
Controls for live-cell specificity:
Non-binding isotype control antibodies with matched fluorophore
Competition with excess unlabeled antibody
Validation in CDC7-depleted cells
Physiological considerations:
Maintain appropriate temperature, CO₂, and pH
Minimize medium autofluorescence with phenol red-free formulations
Check for antibody effects on cell viability and function
By addressing these methodological aspects, researchers can achieve specific CDC7 visualization in living cells while minimizing artifacts and maintaining cell viability throughout the imaging period.
For rigorous quantification of CDC7 expression in imaging data, implement these analytical methods:
These analytical approaches ensure robust, reproducible quantification of CDC7 expression patterns across experimental conditions and sample types.
CDC7 antibodies are increasingly valuable in cancer research due to CDC7's critical role in DNA replication and potential as a therapeutic target:
Prognostic biomarker applications:
IHC analysis of tumor tissue microarrays enables correlation of CDC7 expression with clinical outcomes
Flow cytometry using fluorophore-conjugated CDC7 antibodies allows assessment in hematological malignancies
Methodological consideration: Standardized scoring systems and cutoff values must be established for clinical relevance
Therapeutic response prediction:
CDC7 inhibitors are in clinical development as anti-cancer agents
Antibody-based detection of CDC7 expression/activity may predict treatment response
Methodological approach: Paired pre- and post-treatment biopsies with standardized processing
Cell cycle checkpoint analysis:
CDC7 regulates origin firing in DNA replication
Antibodies enable visualization of CDC7 dynamics during cell cycle progression
Technical requirement: Combined with phospho-specific antibodies to distinguish active vs. inactive forms
Cancer stem cell characterization:
Drug discovery applications:
High-content screening assays using CDC7 antibodies assess compound effects on protein levels/localization
Automated immunofluorescence platforms enable large-scale screening
Critical control: Validate antibody performance in fixed-cell format compatible with screening workflows
In vivo imaging considerations:
Researchers have found CDC7 to be highly expressed in certain cancer cell lines, such as HCCLM3 , making antibody-based detection particularly valuable for studying its role in cancer biology and as a potential therapeutic target.
CDC7 is a critical kinase in DNA replication initiation, requiring specific methodological approaches:
Cell synchronization considerations:
CDC7 activity fluctuates through the cell cycle
Methods for synchronization affect CDC7 detection:
| Method | Cell Cycle Phase | Effect on CDC7 | Technical Considerations |
|---|---|---|---|
| Double thymidine block | G1/S boundary | Activated CDC7 | Mild synchronization |
| Nocodazole | M phase | Low CDC7 activity | Mitotic shake-off improves purity |
| Serum starvation | G0/G1 | Baseline CDC7 levels | Cell type dependent response |
Chromatin association analysis:
CDC7 dynamically associates with chromatin during replication
Chromatin fractionation protocols must preserve kinase-substrate interactions
Detergent-based nuclear extraction followed by nuclease treatment
Controls: Include MCM2 (CDC7 substrate) detection
Phosphorylation-specific detection:
CDC7 functions by phosphorylating MCM proteins
Complement CDC7 antibodies with phospho-specific antibodies against substrates
Validate with CDC7 inhibitor treatments
Technical note: Phosphatase inhibitors are critical in all buffers
Replication timing studies:
CDC7 regulates replication origin firing timing
Combine with EdU/BrdU pulse-labeling
High-resolution microscopy to visualize replication factories
Co-localization analysis with PCNA or other replication factors
Protein-protein interaction mapping:
CDC7 forms complexes with regulatory proteins (e.g., Dbf4)
Proximity ligation assay (PLA) visualizes interactions in situ
Co-immunoprecipitation requires careful buffer optimization
FRET-based approaches for live-cell interaction studies
DNA damage response integration:
CDC7 functions change following genotoxic stress
Compare antibody staining patterns before/after DNA damage
Include γH2AX co-staining as damage marker
Time-course analysis captures dynamic changes
These methodological approaches enable researchers to elucidate CDC7's complex roles in normal cell cycle regulation and dysregulation in disease states.
When faced with discrepancies between different CDC7 antibodies, implement this systematic troubleshooting approach:
Epitope mapping analysis:
Determine if antibodies recognize different CDC7 domains
Consider potential splice variants or post-translational modifications
Test epitope accessibility in different sample preparation methods
Validation hierarchy implementation:
Genetic controls (CDC7 knockout/knockdown) provide definitive validation
Recombinant protein standards establish detection sensitivity
Orthogonal methods (mass spectrometry, RNA analysis) resolve protein identity
Technical parameter evaluation:
Biological context consideration:
CDC7 expression/localization varies with cell cycle phase
Regulatory modifications may mask specific epitopes
Protein interactions may occlude antibody binding sites
Methodological optimization:
Test multiple fixation/permeabilization protocols
Adjust antibody concentration and incubation conditions
Evaluate different detection systems
Consensus approach development:
Use multiple antibodies recognizing different epitopes
Report results from all antibodies with appropriate caveats
Consider developing new validation tools for conclusive results
By systematically analyzing the source of conflicting results, researchers can determine which antibody provides the most reliable data for their specific experimental system and application.
The evolving landscape of CDC7 antibody applications shows several promising directions:
Advanced imaging applications:
Super-resolution microscopy with specifically designed CDC7 antibody conjugates
Live-cell nanobody-based CDC7 tracking
Correlative light-electron microscopy to visualize CDC7 at replication origins
Methodological focus: Smaller probes with precise localization capabilities
Single-cell analysis integration:
CDC7 antibodies in CyTOF/mass cytometry panels
Spatial transcriptomics combined with CDC7 protein detection
Single-cell Western blotting for heterogeneity analysis
Technical advancement: Multiplexed detection with minimal sample input
Therapeutic monitoring applications:
Companion diagnostics for CDC7 inhibitor therapies
Pharmacodynamic biomarkers of target engagement
Resistance mechanism identification
Standardization need: Clinically validated protocols and scoring systems
Structural biology integration:
Conformation-specific antibodies detecting CDC7 activation states
Antibody-based stabilization for cryo-EM studies
Functional epitope mapping using antibody inhibition assays
Methodological challenge: Generating structure-specific antibodies
Engineered antibody formats:
Bispecific antibodies linking CDC7 to degradation machinery
Intrabodies for manipulating CDC7 function in living cells
Split-antibody complementation for protein interaction studies
Technical frontier: Delivery systems for efficient intracellular targeting
Artificial intelligence applications:
Machine learning algorithms for CDC7 pattern recognition in histopathology
Automated image analysis workflows for high-content screening
Predictive modeling of CDC7 expression in disease progression
Integration need: Standardized training datasets with expert annotation