CDK10 (Cyclin-Dependent Kinase 10) is a serine/threonine kinase involved in regulating fundamental cellular processes, including cell cycle progression, transcriptional control, and degradation of oncogenic transcription factors like ETS2 . The CDK10 Antibody is a critical research tool used to detect and study this kinase’s expression, localization, and functional interactions in various biological contexts. This article synthesizes recent research findings, commercial availability, and applications of CDK10 Antibodies, supported by diverse scientific literature.
Western Blotting (WB):
The antibody is widely used to detect CDK10 protein levels in cell lysates, confirming its expression in normal and cancerous tissues. For example, studies employing Proteintech’s 17182-1-AP antibody demonstrated reduced CDK10 expression in gastric cancer, correlating with poor prognosis .
Immunoprecipitation (IP):
Used to isolate CDK10 complexes for interaction studies. Cell Signaling Technology’s Rabbit mAb #36106 confirmed CDK10’s physical interaction with cyclin M in breast cancer cells .
Immunohistochemistry (IHC):
Applied to analyze CDK10 expression in tumor tissues. Abcam’s ab67828 antibody revealed downregulated CDK10 in lung adenocarcinoma, linked to metastasis and shorter survival .
Functional Studies:
Antibodies enable knockdown or overexpression experiments. CDK10 silencing via siRNA (validated by WB using Abcam ab67828) increased tamoxifen resistance in ER+ breast cancer cells .
Mutations in FAM58A (coding cyclin M) disrupt CDK10 activation, causing STAR syndrome. CDK10/cyclin M complexes degrade ETS2, a transcription factor promoting oncogenesis. Patients exhibit elevated ETS2 levels due to reduced cyclin M .
Breast Cancer: CDK10 loss confers tamoxifen resistance by activating the MAPK pathway .
Gastric Cancer: Downregulated CDK10 correlates with metastasis and poor survival, acting as a tumor suppressor .
Lung Cancer: CDK10 inhibits metastasis by degrading ETS2, which upregulates c-RAF and MMP2/9 .
CDK10 phosphorylates ETS2, targeting it for proteasomal degradation. This reduces oncogenic signaling through the MAPK pathway .
CDK10, also known as serine/threonine-protein kinase PISSLRE, is a member of the cyclin-dependent kinase family with important functions beyond traditional cell cycle control. CDK10 is activated through complex formation with Cyclin M, and this complex mediates degradation of the transcription factor ETS2 . Unlike classical cell cycle CDKs, CDK10 participates in multiple cellular processes including transcriptional regulation and signal transduction. Research has identified CDK10 as a potential tumor suppressor in several cancer types, including nasopharyngeal carcinoma and gastric cancer . Loss of CDK10 appears to be a major determinant of resistance to endocrine therapy for breast cancer . Additionally, CDK10 plays important roles during development, as demonstrated in zebrafish models where it participates in transcriptional complexes essential for nervous system development .
Several types of CDK10 antibodies are available for research purposes, each optimized for specific applications:
When selecting a CDK10 antibody, researchers should consider:
The specific application (WB, IHC, IF, etc.)
Target species reactivity (human, mouse, rat, etc.)
Epitope location relative to functional domains
Validation data provided by manufacturers
Whether the antibody recognizes specific post-translational modifications
CDK10 typically appears as a band of approximately 38-40 kDa on Western blots, though this can vary slightly depending on post-translational modifications and experimental conditions . Some antibodies detect CDK10 at 43 kDa, likely representing a different isoform or modified version of the protein .
Regarding subcellular localization, immunohistochemistry studies have shown that CDK10 is predominantly localized in the cytoplasm of cells, though it may translocate under specific conditions. In gastric cancer tissues, positive CDK10 expression was observed in the cytoplasm in 51.3% of tumor samples versus reduced expression in 48.7% of cases . The cytoplasmic localization is consistent with CDK10's role in signaling pathways and protein degradation mechanisms rather than direct DNA binding.
For optimal Western blot detection of CDK10, consider the following protocol recommendations:
Sample preparation:
Use RIPA or NP-40 based lysis buffers with protease inhibitors
Include phosphatase inhibitors if studying phosphorylation states
Typical loading amount: 20-50 μg total protein per lane, though this may need to be increased for low-expressing samples
Electrophoresis conditions:
10-12% SDS-PAGE gels provide good resolution for the 38-40 kDa CDK10 protein
Include molecular weight markers to confirm correct band identification
Antibody conditions:
Primary antibody dilution: typically 1:1000 (though this varies by antibody)
Overnight incubation at 4°C generally provides optimal results
Secondary antibody selection should match the host species of the primary antibody
Controls:
Positive controls: Cell lines known to express CDK10 (e.g., 293 cells )
Negative controls: CDK10 knockdown or knockout cells
Loading controls: β-actin, GAPDH, or total protein staining
Troubleshooting multiple bands:
38-40 kDa is the expected size for CDK10
Additional bands may represent alternative splice variants, degradation products, or non-specific binding
Peptide competition assays can help confirm band specificity
Successful CDK10 immunohistochemistry requires careful optimization of several parameters:
Tissue preparation and fixation:
10% neutral buffered formalin fixation for 24-48 hours is standard
Paraffin embedding and sectioning at 4-5 μm thickness
Antigen retrieval:
Heat-induced epitope retrieval using citrate buffer (pH 6.0) is effective for most CDK10 antibodies
Microwave or pressure cooker methods (15 minutes) provide consistent results
Antibody incubation:
Primary antibody dilutions vary by product (e.g., 1:500 for some antibodies)
Overnight incubation at 4°C typically provides optimal staining
HRP-conjugated secondary antibodies followed by DAB development is standard
Scoring systems:
Percentage of positive cells: 0 (0-9%), 1 (10-25%), 2 (26-50%), 3 (51-100%)
Staining intensity: 0 (no staining), 1 (weak), 2 (moderate), 3 (strong)
Total immunostaining score = percentage score × intensity score (range 0-9)
Controls:
Positive control tissues with known CDK10 expression
Negative controls (primary antibody omission)
Internal positive controls within tissue sections when possible
Accurate quantification of CDK10 expression in clinical samples requires standardized methodologies:
For Western blot quantification:
Use densitometry software (ImageJ, Image Lab, etc.)
Normalize to loading controls or total protein
Include standard curves when possible
Compare relative expression between samples rather than absolute values
For immunohistochemistry quantification:
Semi-quantitative scoring systems as described above
Multiple independent observers to reduce subjective bias
Digital image analysis using specialized software for objective assessment
For mRNA expression analysis:
qRT-PCR with validated primers and appropriate reference genes
Normalize to multiple housekeeping genes for accuracy
Follow MIQE guidelines for qPCR experiments
Multi-method validation:
Compare protein expression (IHC/WB) with mRNA levels (qRT-PCR)
Use multiple antibodies targeting different epitopes when possible
Consider mass spectrometry for absolute quantification
In the study by You et al., CDK10 expression was significantly reduced in 92 of 189 (48.7%) gastric cancer cases compared to normal tissue, and this reduction correlated with worse prognosis . This highlights the importance of standardized quantification approaches in clinical studies.
Studying the CDK10/Cyclin M complex requires specialized approaches:
Co-immunoprecipitation methods:
Use mild lysis buffers to preserve protein-protein interactions
Immunoprecipitate with either CDK10 or Cyclin M antibodies
Perform reciprocal IP (pull down with one antibody, detect with the other)
Include phosphatase inhibitors to preserve phosphorylation-dependent interactions
Functional studies:
Kinase activity assays using recombinant CDK10/Cyclin M complexes
Known substrates include RNA polymerase II CTD, c-MYC, and ETS2
Radioactive assays with [γ-32P]ATP provide sensitive detection of activity
Interaction mapping:
Domain deletion mutants to identify interaction regions
Proximity ligation assays for in situ detection of the complex
Mass spectrometry to identify additional complex components
ETS2 degradation assays:
Monitor ETS2 levels after manipulating CDK10/Cyclin M expression
Use proteasome inhibitors to confirm degradation mechanism
Examine downstream effects on ETS2 target genes
Research has shown that the CDK10/Cyclin M complex mediates degradation of the transcription factor ETS2, which affects expression of genes including c-RAF and matrix metalloproteinases (MMP2/9) .
Investigating CDK10's tumor suppressor functions requires multiple complementary approaches:
Expression analysis in cancer samples:
Compare CDK10 levels in matched tumor/normal tissues
Correlate expression with clinical parameters and outcomes
Multiple studies have shown reduced CDK10 expression in various cancers including gastric cancer and lung adenocarcinoma
In vitro functional studies:
Knockdown or overexpression of CDK10 in cancer cell lines
Assess effects on:
Cell proliferation and cell cycle progression
Migration and invasion capabilities
Apoptosis and chemosensitivity
EMT marker expression
Pathway analysis:
Monitor ETS2 levels and activity
Evaluate MMP2/9 expression and activity
In vivo models:
Xenograft models with CDK10 manipulation
Patient-derived xenografts for translational relevance
Metastasis models to assess CDK10's role in cancer progression
Findings from a colorectal cancer study demonstrated that CDK10 promotes tumor growth while inhibiting apoptosis by upregulating Bcl-2 expression . Importantly, this effect depends on its kinase activity, as kinase-defective mutants showed increased apoptosis and reduced proliferation . In a lung adenocarcinoma study, CDK10 was found to suppress metastasis by promoting ETS2 degradation, thereby inactivating the c-Raf/MEK/ERK pathway that drives epithelial-mesenchymal transition .
The development of selective CDK10 inhibitors has been challenging due to the high homology between CDK family members. Current knowledge about CDK10 inhibitors includes:
Cross-reactivity with other CDKs:
Several CDK inhibitors show activity against CDK10 but typically with less potency than against their primary targets
OTS964 (a CDK11 inhibitor) showed only moderate activity against CDK10 (IC₅₀ of 5.37 μM) but was more selective compared to other tested compounds
Specificity considerations:
FDA-approved CDK4/6 inhibitors (abemaciclib, palbociclib) show minimal cross-reactivity with CDK10
Covalent CDK7/12/13 inhibitors (THZ-1, YKL-5-124, THZ-531) also have limited effect on CDK10
Experimental approaches:
In vitro kinase assays using purified CDK10/Cyclin Q complexes provide the most direct assessment of inhibitor efficacy
Cellular assays must consider pathway redundancy and compensatory mechanisms
Genetic approaches (CRISPR, shRNA) offer more selective CDK10 inhibition for research purposes
For therapeutic targeting, understanding the structural determinants of CDK10 binding specificity will be crucial for developing selective inhibitors.
Researchers may encounter several challenges when using CDK10 antibodies:
Non-specific banding patterns:
Multiple bands on Western blots may represent:
Alternative splice variants of CDK10
Post-translational modifications
Cross-reactivity with other CDK family members
Non-specific binding
Validation strategies include using CDK10 knockdown/knockout samples and peptide competition assays
Weak or variable signal:
For Western blots: optimize protein extraction, increase loading amount, try longer exposure times
For IHC: optimize antigen retrieval, extend primary antibody incubation, consider signal amplification systems
Inconsistent results between antibodies:
Different antibodies target distinct epitopes which may be differentially accessible
Compare antibodies targeting different regions of CDK10
Document exact conditions that work for each antibody
Background issues:
Optimize blocking conditions (concentration, time, blocking agent)
Increase wash steps in duration and number
Consider using more dilute antibody with longer incubation times
Proper validation is essential for ensuring reliable results with CDK10 antibodies:
Genetic validation:
Test antibody in CDK10 knockout or knockdown models
Compare with CDK10 overexpression samples
Use multiple siRNA/shRNA constructs targeting different regions
Peptide competition:
Pre-incubate antibody with immunizing peptide
Specific signal should be abolished while non-specific binding remains
Cross-platform verification:
Compare protein detection by Western blot, IHC, and IF
Correlate with mRNA expression by qRT-PCR or RNA-seq
Consider mass spectrometry for definitive protein identification
Comparative antibody testing:
Use multiple antibodies targeting different epitopes
Compare monoclonal vs. polyclonal antibodies
Test antibodies from different manufacturers
When using CDK10 antibodies across different species, several factors should be considered:
Sequence homology:
Human CDK10 shares high sequence conservation with mouse and rat orthologs
Critical epitopes may vary between species, affecting antibody binding
Consider sequence alignment of the antibody epitope across species
Validated reactivity:
Most commercial CDK10 antibodies have been validated for human, mouse, and rat
Predicted reactivity has been suggested for additional species including pig, zebrafish, bovine, horse, sheep, dog, chicken, and Xenopus
Experimental validation is required before relying on predicted cross-reactivity
Model selection:
Consider using genetic models (knockouts, knock-ins) to validate antibody specificity in non-human systems
For developmental studies, zebrafish models have been successfully used to study CDK10 function
Xenograft models with human cell lines provide an alternative to directly studying CDK10 in animal tissues
Application-specific optimization:
Fixation and processing protocols may need species-specific adjustments
Antigen retrieval conditions often require optimization for each species
Positive control tissues from the target species should be included
Multiple studies have investigated the relationship between CDK10 expression and cancer outcomes:
Gastric cancer:
Colorectal cancer:
Lung adenocarcinoma:
Breast cancer:
Loss of CDK10 expression appears to be a major determinant of resistance to endocrine therapy
CDK10 regulates expression of c-RAF and signaling through the MAPK pathway
These findings suggest that CDK10 may serve as a valuable prognostic marker in multiple cancer types, though its role (tumor suppressor vs. oncogenic) may be context-dependent.
For clinical applications of CDK10 immunohistochemistry, several methodological factors are critical:
Sample processing standardization:
Consistent fixation protocols (10% neutral buffered formalin for 24-48 hours)
Standard tissue processing and embedding procedures
Validation on tissue microarrays for high-throughput analysis
Staining protocol:
Validated antibody selection with documented specificity
Optimized antigen retrieval (citrate buffer pH 6.0) as used in prognostic studies
Standardized detection systems (e.g., HRP/DAB)
Inclusion of positive and negative controls in each batch
Scoring system:
Combination of percentage of positive cells and staining intensity
Total immunostaining score calculation: percentage score × intensity score (0-9)
Classification into negative (score 0), weakly positive (1-3), positive (4-6), or strongly positive (7-9)
Multiple independent pathologists for scoring to minimize subjectivity
Clinical correlation:
Comprehensive clinical data collection (stage, treatment, outcome)
Appropriate statistical analysis (Kaplan-Meier, Cox regression)
Multivariate analysis to adjust for confounding factors
In the gastric cancer study by You et al., this methodological approach successfully identified CDK10 as an independent prognostic factor (P=0.011) in multivariate Cox regression analysis .