CBX2 (Chromobox Homolog 2) is a component of the PRC1-like polycomb multiprotein complex that maintains the transcriptionally repressive state of many genes throughout development via chromatin remodeling and histone modification. It mediates monoubiquitination of histone H2A on lysine 119, introducing heritably changed expression . CBX2 is crucial in several biological processes including:
Sexual development and gonadal differentiation
Antiviral innate immunity
Axial patterning during embryonic development
Cell proliferation and senescence
The protein has gained significant research interest due to its implications in various cancers and developmental disorders.
When selecting a CBX2 antibody, consider the species origin of your experimental samples. Based on the available products, reactivity information includes:
| Antibody Source | Species Reactivity |
|---|---|
| Cell Signaling (#18687) | Human, Mouse, Rat, Monkey |
| Proteintech (15579-1-AP) | Human, Mouse, Rat |
| Diagenode (C15410339) | Human (ChIP-seq validated) |
| Diagenode Pioneer | Mouse |
| NovoPro (108944) | Human, Mouse, Rat |
| BPS Bioscience (25212) | Mouse |
Cross-reactivity testing is recommended when working with species not explicitly listed by manufacturers .
For optimal ChIP experiments with CBX2 antibodies:
Antibody selection: Choose antibodies specifically validated for ChIP applications, such as Diagenode's ChIP-seq grade antibody (C15410339) or Cell Signaling's #18687 .
Protocol optimization:
Controls:
Include isotype control antibodies to assess non-specific binding
Use positive control antibodies against histone modifications
Include input samples (non-immunoprecipitated chromatin) for normalization
Validation:
Confirm enrichment at known CBX2 binding sites
Use qPCR to validate enrichment before proceeding to genome-wide analyses
Recent research has implicated CBX2 in multiple cancer types with significant findings:
Prostate cancer: CBX2 has been identified as a crucial factor in mediating resistance to Enzalutamide (Enz), a common treatment for advanced prostate cancer. Studies showed that CBX2 inhibits the P53 signaling pathway, contributing to treatment resistance. Silencing CBX2 using siRNA led to elevated P53 expression in LNCaP cells .
Colorectal cancer (CRC):
CBX2 is overexpressed in CRC tissue compared to adjacent normal tissues
CBX2 deletion markedly suppressed proliferation and migration of CRC cells
G1/S phase cells increased after CBX2 deletion, while G2 phase cells significantly reduced
Deletion of CBX2 inhibited cell migration in both HCT116 and HT29 cell lines
CBX2 deletion impaired invasion capabilities and reduced EMT markers such as E-cadherin
Research methodologies utilizing CBX2 antibodies to investigate these mechanisms include:
Immunohistochemistry to assess expression levels in patient samples
Western blotting to analyze protein expression across cell lines
CRISPR/Cas9 system to generate CBX2 knockout cell lines for functional studies
Immunoprecipitation to identify protein-protein interactions
When conducting Western blot analysis of CBX2, researchers may observe varying molecular weights that require careful interpretation:
Expected molecular weights:
Interpretation guidelines:
Validation approaches:
Use multiple antibodies targeting different epitopes
Include CBX2 knockout/knockdown samples as negative controls
When possible, confirm identity through mass spectrometry or immunoprecipitation
To maintain antibody integrity and performance:
Storage recommendations:
Buffer composition:
Handling practices:
Avoid repeated freeze-thaw cycles
Allow antibody to completely thaw before use
Briefly centrifuge to collect solution at the bottom of the tube
Handle in accordance with biosafety practices appropriate for your laboratory
For investigating CBX2's epigenetic functions:
Chromatin association studies:
ChIP-seq to map genome-wide binding profiles of CBX2
Co-IP experiments to identify protein-protein interactions within the PRC1 complex
Sequential ChIP (Re-ChIP) to determine co-occupancy with other PRC1 components
Functional genomics approaches:
Disease-relevant models:
Patient-derived xenografts to study CBX2 in cancer progression
Cell line models with varying levels of CBX2 expression
Tissue microarrays for analyzing CBX2 expression across patient cohorts
Rigorous experimental design requires appropriate controls:
| Application | Positive Controls | Negative Controls | Technical Controls |
|---|---|---|---|
| Western Blot | HEK-293, HeLa, MCF-7 cells | CBX2 knockout cells or tissues | Loading control (GAPDH, β-actin) |
| ChIP | Known CBX2 binding sites | Intergenic regions without CBX2 binding | Input chromatin, IgG control |
| IHC | Tissues with validated CBX2 expression | CBX2-negative tissues, no primary antibody | Isotype controls |
| IF | Cell lines with confirmed CBX2 expression | CBX2 knockout cells, no primary antibody | Nuclear counterstain |
| IP | Lysates with CBX2 overexpression | IgG control, CBX2 knockout | Input lysate (5-10%) |
When experiencing non-specific binding:
Optimization strategies:
Adjust antibody concentration (try dilution ranges from 1:500 to 1:8000 for WB)
Increase blocking time and concentration (5% BSA or milk)
Add 0.1-0.3% Triton X-100 to reduce background in IF/IHC
Use higher stringency wash buffers (increase salt concentration)
For ChIP applications, increase pre-clearing time with protein A/G beads
Validation approaches:
Compare multiple antibodies targeting different CBX2 epitopes
Include CBX2 knockout/knockdown controls
For WB, use gradient gels to better separate proteins of similar molecular weights
Application-specific considerations:
For correlating CBX2 expression with clinical outcomes:
Quantification methods:
Statistical analysis:
Validation approaches:
Compare findings across multiple patient cohorts
Validate IHC results with other quantitative methods (e.g., qPCR, WB)
Correlate with established biomarkers and clinicopathological features
Research challenges and solutions:
Cell type specificity:
Mechanistic complexity:
Technical considerations:
CBX2 may interact with other PRC1 components, complicating functional analysis
Solution: Use co-immunoprecipitation to identify interaction partners; perform dependency studies by sequential knockdown of PRC1 components
Translational challenges:
Correlating in vitro findings with clinical outcomes
Solution: Validate findings in patient-derived xenografts; perform IHC on tissue microarrays with annotated clinical data
Integrating CBX2 antibodies into single-cell methodologies:
Single-cell ChIP applications:
Analyze CBX2 binding heterogeneity across individual cells within tumors
Combine with single-cell RNA-seq to correlate binding patterns with gene expression
Requires highly specific antibodies with minimal background binding
CUT&Tag and CUT&RUN adaptations:
These newer methodologies offer improved signal-to-noise ratio over traditional ChIP
Optimize CBX2 antibody concentration for these techniques (typically lower than ChIP)
Validate specificity using appropriate controls
Mass cytometry (CyTOF):
Metal-conjugated CBX2 antibodies can be incorporated into CyTOF panels
Enables simultaneous measurement of CBX2 with other protein markers
Requires validation of antibody specificity in fixed cells
Antibodies as tools in therapeutic development:
Target validation:
Validate CBX2 as a therapeutic target in multiple cancer types
Use IHC with CBX2 antibodies to identify patient populations with high expression
Employ functional studies with CBX2 knockdown/knockout to predict therapeutic outcomes
Mechanism exploration:
Drug discovery applications:
Screen for small molecules that disrupt CBX2's chromodomain interactions
Use antibodies in AlphaScreen or ELISA-based assays to measure binding disruption
Validate compound effects using CBX2 antibodies in cellular assays