CBLL2 (also known as ZNF645, HAKAIL, or CT138) is a 49kDa protein that functions as part of the Casitas B-lineage Lymphoma family of E3 ubiquitin ligases . While distinct from the well-characterized CBL (p120) protein, CBLL2 shares structural homology with other family members that regulate immune cell function . The protein is encoded by the ZNF645 gene with UniProt ID Q8N7E2 and NCBI reference sequence NP_689790 . Unlike the classical CBL protein that has been extensively studied in various cancer cell lines including MCF-7, K562, and Raji cells , CBLL2's functional characterization remains more limited in the scientific literature.
Current commercial CBLL2 antibodies have been validated primarily for Western Blot (WB) applications, with recommended titrations between 0.2-1 μg/ml for optimal detection . While immunodetection represents the core application, researchers should note that:
Positive controls such as MCF7 cell lysate have been validated for detection
Cross-reactivity has been documented with canine and yeast samples
The antibody specifically recognizes the synthetic peptide sequence: LSPQFTQTDAMDHRRWPAWKRLSPCPPTRSPPPSTLHGRSHHSHQRRHRR
Unlike antibodies for related proteins like CBL, which have been validated across multiple applications and detection methods including Simple Western™ , CBLL2 antibodies currently have more limited application validation.
To maintain optimal reactivity and specificity of CBLL2 antibodies, adhere to the following research-validated protocols:
| Storage Condition | Duration | Expected Performance |
|---|---|---|
| 2-8°C refrigeration | Up to 2 weeks | Optimal reactivity |
| -20°C (small aliquots) | Long-term storage | Minimal freeze-thaw degradation |
Antibody performance is significantly affected by buffer composition, with current formulations utilizing 1x PBS buffer with 0.09% (w/v) sodium azide and 2% sucrose . This buffer composition maintains stability while preventing microbial contamination during storage periods. Researchers should avoid repeated freeze-thaw cycles by preparing appropriately sized aliquots for experimental use.
Validating CBLL2 antibody specificity requires a multi-faceted approach beyond simple immunoblotting. Based on established protocols for similar antibodies:
Peptide competition assays: Pre-incubate antibody with excess immunizing peptide (LSPQFTQTDAMDHRRWPAWKRLSPCPPTRSPPPSTLHGRSHHSHQRRHRR) to confirm signal reduction in positive control samples .
Molecular weight verification: Confirm detection of the expected 49kDa band in Western blot applications .
Knockout/knockdown validation: Generate CRISPR/Cas9 knockout or siRNA knockdown of CBLL2/ZNF645 to verify signal loss. This approach has proven valuable in validating related E3 ubiquitin ligase antibodies .
Cross-reactivity assessment: Test against recombinant proteins from the CBL family to confirm specificity, particularly important given structural similarities within this protein family .
Multiple detection methods: When possible, validate across orthogonal techniques beyond Western blotting to strengthen confidence in specificity.
When investigating CBLL2's role in cellular signaling and function, researchers should consider:
Context-dependent expression: E3 ubiquitin ligases like CBLL2 often demonstrate context-dependent expression patterns across cell types. Preliminary experiments should establish baseline expression levels in experimental models .
Functional redundancy: As with other CBL family members, functional redundancy may mask phenotypes in single-knockout systems. Consider combinatorial approaches targeting multiple family members simultaneously .
Substrate identification: For studying CBLL2's enzymatic activity, utilize immunoprecipitation coupled with mass spectrometry to identify potential ubiquitination substrates, similar to approaches used for CBL .
Activation requirements: E3 ubiquitin ligases typically require specific activation signals. When studying CBLL2 activity, consider experimental stimuli that might trigger its activation, potentially including CD28 costimulation pathways as observed with related family members .
Temporal dynamics: Ubiquitination is a dynamic process; time-course experiments are essential for capturing transient interactions and modifications.
Antibody design significantly impacts experimental performance and reliability. For CBLL2 antibodies:
Epitope selection: Current CBLL2 antibodies target the middle region of the protein , which may impact accessibility in certain applications. For complex or native conformations, alternative epitopes might be required.
Polyclonal versus monoclonal considerations: Available CBLL2 antibodies are polyclonal , which provides broader epitope recognition but potentially increased batch variability compared to monoclonal alternatives.
Cross-species reactivity: Current antibodies show predicted reactivity with canine and yeast samples in addition to human targets . This cross-reactivity should be considered when designing experiments in different model systems.
Conformational recognition: Recent advances in antibody development highlight the importance of conformational epitopes. As seen with SARS-CoV-2 antibodies, naive B cells often target epitopes exposed in open or altered conformations . This principle may apply to CBLL2 antibody recognition of native versus denatured protein forms.
Researchers frequently encounter several technical challenges when working with CBLL2 antibodies:
High background signal: This can be addressed by:
Multiple bands: To resolve multiple band detection:
Weak signal detection: Enhance signal by:
Increasing protein loading (optimize between 20-50μg)
Extending primary antibody incubation (overnight at 4°C)
Utilizing signal enhancement systems (e.g., biotin-streptavidin)
Testing alternative extraction buffers to improve target solubilization
Inconsistent results across experiments: Improve reproducibility by:
Aliquoting antibody to minimize freeze-thaw cycles
Standardizing lysate preparation protocols
Maintaining consistent incubation times and temperatures
Documenting lot numbers and conducting lot-to-lot validation
Computational methods are increasingly valuable for antibody development and optimization, particularly for challenging targets like CBLL2:
Epitope prediction and optimization: Computational algorithms can identify optimal epitopes based on:
Surface accessibility
Sequence conservation
Secondary structure prediction
Antigenicity scoring
Specificity enhancement: Recent advances in biophysics-informed modeling allow for:
Structure-guided optimization: Using homology modeling based on related CBL family structures to:
Identify critical binding determinants
Guide antibody engineering for improved performance
Predict potential conformational epitopes
High-throughput sequence analysis: Next-generation sequencing data can be leveraged to:
As demonstrated in recent research, "biophysics-informed models trained on experimentally selected antibodies can associate distinct binding modes with potential ligands, enabling prediction and generation of specific variants beyond those observed in experiments" .
Based on structural and functional homology with other CBL family proteins, CBLL2 antibodies may provide valuable insights into:
T cell signaling regulation: Similar to Cbl-b, CBLL2 may function as a regulator of T cell activation. Antibodies can be used to:
Cancer immunotherapy applications: E3 ubiquitin ligases like Cbl-b have emerged as promising targets for cancer immunotherapy:
Signaling pathway analysis: Using CBLL2 antibodies in combination with phospho-specific antibodies to:
Dissect signaling networks in normal and pathological states
Understand temporal dynamics of protein-protein interactions
Characterize post-translational modifications that regulate activity
Therapeutic target validation: As observed with Cbl-b, which "regulates both innate and adaptive immune cells, ultimately promoting an immunosuppressive tumor microenvironment" , CBLL2 antibodies can help determine whether this protein represents a valid therapeutic target through mechanistic studies.
Recent technological advances are transforming antibody development approaches for complex targets like CBLL2:
Phage display optimization: By combining high-throughput sequencing with computational analysis, researchers can now:
Single B cell sequencing: This approach enables:
Structure-guided design: Computational approaches using:
CRISPR-based validation: Advanced validation techniques using:
These technologies provide researchers with unprecedented control over antibody properties, allowing the design of CBLL2 antibodies with predefined binding profiles that can be "either cross-specific, allowing interaction with several distinct ligands, or specific, enabling interaction with a single ligand while excluding others" .
To address current limitations, researchers might consider:
Nanobody and single-domain antibody development: These smaller antibody formats offer:
Improved access to sterically hindered epitopes
Enhanced tissue penetration for in vivo applications
Opportunities for multispecific targeting approaches
Proximity-dependent labeling: Using CBLL2 antibodies conjugated to enzymes like:
TurboID or miniTurbo for biotin labeling of proximal proteins
APEX2 for peroxidase-mediated labeling
Photo-crosslinking for capturing transient interactions
Live-cell imaging applications: Developing:
Intrabodies for tracking CBLL2 dynamics in living cells
Split fluorescent protein complementation to visualize interactions
FRET-based sensors to monitor conformational changes
Combinatorial targeting strategies: Creating:
Bispecific antibodies targeting CBLL2 and interacting proteins
Antibody-drug conjugates for targeted protein degradation
Immunoprecipitation-optimized variants for complex purification
These approaches could transform CBLL2 antibodies from simple detection tools into sophisticated research instruments for elucidating protein function and regulation in complex biological systems.