The BCL7C antibody targets the B-cell CLL/lymphoma 7C (BCL7C) protein, a subunit of the BAF chromatin remodeling complex. This antibody is widely used to investigate BCL7C's functional roles in cancer biology, particularly its interaction with mutant p53 (mtp53) in ovarian cancer .
BCL7C is encoded by the BCL7C gene (HGNC: 1006; NCBI Gene ID: 9274) located on chromosome 16p11.2. Key features include:
Function: Acts as a tumor suppressor by inhibiting mtp53-mediated oncogenic pathways .
Disease Associations:
Protein Structure: 217 amino acids, ~23 kDa molecular weight (UniProt: Q8WUZ0) .
Interaction with Mutant p53: BCL7C binds mtp53 (e.g., R175H, R273H) and suppresses its transcriptional activity, reducing expression of pro-tumorigenic genes like BUB1, CXCL1, and MMP13 .
Impact on Cancer Phenotypes:
Prognostic Marker: Reduced BCL7C levels in ovarian carcinomas predict unfavorable outcomes .
Therapeutic Potential: Restoring BCL7C expression could counteract mtp53-driven tumor progression .
Inactivation of Mutant p53:
Gene Expression Modulation:
| Parameter | BCL7C Overexpression | BCL7C Knockdown |
|---|---|---|
| Cell Proliferation | Inhibited | Enhanced |
| Invasion Capacity | Reduced | Increased |
| mtp53 Target Genes | Downregulated | Upregulated |
Therapeutic Development: Explore BCL7C mimetics or gene therapy to restore its function in mtp53-driven cancers.
Broader Applications: Investigate BCL7C’s role in other malignancies (e.g., lymphoma, breast cancer).
BCL7C is a 23 kDa protein (217 amino acids) that belongs to the BCL7 family. This gene was identified based on its similarity to the N-terminal region of BCL7A protein, which is known to be involved in a three-way gene translocation in a Burkitt lymphoma cell line . While initially thought to play an anti-apoptotic role , recent research has demonstrated that BCL7C functions as a tumor suppressor in ovarian cancer by counteracting mutant p53 activity .
BCL7C is part of the BCL7 family that was first discovered when BCL7A was found to be involved in complex translocations in lymphoma. Each family member appears to have distinct roles in cancer biology, with BCL7C specifically showing tumor suppressor functionality through its interaction with mutant p53 proteins .
BCL7C antibodies are validated for multiple research applications, with specific validations varying by product:
Western Blot (WB): The most commonly validated application across products
ELISA: Many antibodies show reactivity in enzyme-linked immunosorbent assays
Immunofluorescence (IF): Select antibodies are validated for cellular localization studies
Immunohistochemistry (IHC): Both paraffin-embedded (IHC-P) and frozen section (IHC-F) applications
The specific application validation depends on the antibody source and clone. For instance, the rabbit polyclonal antibody ab231278 is validated for Western blot at 1/1000 dilution using human samples , while mouse monoclonal antibodies like clone 1A4 are validated for Western blot, ELISA, and immunofluorescence applications .
BCL7C antibodies show varying reactivity profiles depending on their source and production method:
When selecting an antibody, it's essential to verify the claimed reactivity against your species of interest. For cross-species applications, antibodies targeting conserved regions of BCL7C typically show broader reactivity .
To achieve optimal Western blot results with BCL7C antibodies, follow these methodological guidelines:
Sample preparation:
Use nuclear extracts from appropriate cell lines (e.g., HeLa cells are recommended)
Ensure complete denaturation of samples
Protocol parameters:
Dilution: Most BCL7C antibodies work optimally at 1/1000 dilution for Western blot
Expected band size: 23 kDa (predicted molecular weight of BCL7C)
Secondary antibody: Select based on host species (anti-rabbit or anti-mouse)
Controls:
Negative control: Consider BCL7C-knockdown samples or non-expressing tissues
Blocking peptide: If available, use to confirm band specificity
When troubleshooting, remember that BCL7C is a relatively small protein (23 kDa), so standard gel percentage (10-12%) should be appropriate for good resolution .
Proper validation of BCL7C antibodies is critical for reliable research outcomes. Implement these methodological approaches:
Genetic validation approaches:
siRNA knockdown: Transfect cells with BCL7C-specific siRNAs and confirm reduced antibody signal in Western blot or immunofluorescence
Overexpression: Transfect cells with tagged BCL7C constructs and verify signal increase
CRISPR-Cas9 knockout: Create BCL7C knockout cell lines as definitive negative controls
Biochemical validation:
Control samples:
Tissue panel analysis: Test expression across tissues with known differential BCL7C expression
Species cross-reactivity: Verify specificity across claimed species reactivity
Family member specificity: Test for cross-reactivity with related BCL7A and BCL7B proteins
These validation steps should be documented and included when publishing research using BCL7C antibodies to ensure data reproducibility and reliability.
Based on the research literature, the following cell lines are recommended for BCL7C studies:
For basic expression analysis:
For functional studies (especially p53-related mechanisms):
SKOV3: p53-negative ovarian cancer cells (useful as negative controls)
OVCA420: Ovarian cancer cells used in invasion assays with BCL7C
Experimental approach considerations:
For studying BCL7C's tumor suppressor function, use cells with mutant p53 (e.g., TOV112D, ES-2)
For pathway-specific studies, consider using isogenic cell lines differing only in p53 status
These cell lines provide valuable models for investigating BCL7C's biological functions, particularly its interaction with mutant p53 and role in cancer progression.
Recent research has revealed a critical interaction between BCL7C and mutant p53 proteins with significant functional implications:
Interaction mechanism:
Co-immunoprecipitation experiments demonstrate that BCL7C physically interacts with multiple mutant p53 (mtp53) variants, including mtp53-R175H, mtp53-Y220C, mtp53-R248W, mtp53-R249S, and mtp53-R273H
This interaction forms the molecular basis for BCL7C's tumor suppressor function
Functional consequences:
Suppression of mutant p53 target genes: BCL7C represses the expression of multiple mutant p53 target genes specifically in cells containing mutant p53, but not in p53-negative cells
Inhibition of cancer cell proliferation:
Suppression of cancer cell invasion:
These findings establish BCL7C as a novel tumor suppressor that acts by directly counteracting the oncogenic activities of mutant p53. This represents a significant advance in understanding how BCL7C contributes to cancer biology and suggests potential therapeutic strategies targeting this interaction in cancers harboring mutant p53 .
To investigate BCL7C's tumor suppressive functions, researchers should consider these methodological approaches:
Expression analysis in clinical samples:
Immunohistochemistry to analyze BCL7C expression in tumor microarrays
Correlation of expression with clinical parameters (survival, stage, treatment response)
Prognostic analysis based on BCL7C levels (high BCL7C is associated with favorable prognosis in ovarian cancer)
Molecular interaction studies:
Co-immunoprecipitation to confirm BCL7C interaction with mutant p53 variants
ChIP assays to investigate whether BCL7C affects mutant p53 binding to target gene promoters
Proximity ligation assays to visualize BCL7C-p53 interactions in situ
Functional assays:
Cell proliferation assays (e.g., CCK-8) following BCL7C overexpression or knockdown
Cell invasion assays to assess metastatic potential modulation
Colony formation assays to evaluate long-term growth effects
Gene expression analysis of mutant p53 target genes after BCL7C manipulation
In vivo studies:
Xenograft models comparing tumor growth with variable BCL7C expression
Metastasis models to assess BCL7C's impact on cancer dissemination
Patient-derived xenografts to evaluate clinical relevance
Research findings indicate that BCL7C suppresses ovarian cancer growth and invasion specifically by inactivating mutant p53. When designing experiments, it's crucial to consider the p53 status of your model system, as BCL7C's tumor suppressive effects are dependent on the presence of mutant p53 .
Different types of BCL7C antibodies offer distinct advantages and limitations that researchers should consider when selecting reagents:
Polyclonal BCL7C antibodies:
Advantages:
Recognition of multiple epitopes, providing robust detection even if some epitopes are modified or masked
Often produce stronger signals due to multiple antibody binding
Useful for detecting low-abundance proteins or in applications where signal amplification is needed
Generally more tolerant to minor protein denaturation or fixation-induced changes
Limitations:
Batch-to-batch variability requiring validation between lots
Potential for higher background due to non-specific binding
May cross-react with related proteins (BCL7A, BCL7B)
Less suitable for applications requiring precise epitope targeting
Monoclonal BCL7C antibodies:
Advantages:
Consistent epitope recognition with minimal batch variation
Typically produce cleaner results with lower background
More suitable for quantitative applications due to consistent binding
Better for applications like flow cytometry or immunoprecipitation
Specific clones like 1A4 and 5F1 are validated for multiple applications
Limitations:
Single epitope recognition may result in false negatives if that epitope is masked
May be more sensitive to fixation conditions that alter epitope structure
Generally more expensive than polyclonal antibodies
May have more limited application validation
Application-specific considerations:
For Western blot: Both types work well, with polyclonals often giving stronger signals
For immunoprecipitation: Monoclonals may provide cleaner pull-downs with less background
For immunohistochemistry: Consider epitope sensitivity to fixation when selecting antibody
For co-localization studies: Monoclonals may provide more precise subcellular localization
Non-specific bands in Western blots with BCL7C antibodies can arise from several sources. Here are methodological solutions:
Common causes and solutions:
Antibody specificity issues:
Problem: Cross-reactivity with BCL7A or BCL7B family members
Solution: Use antibodies validated for specific BCL7C detection; consider monoclonal antibodies targeting unique BCL7C epitopes
Sample preparation problems:
Problem: Protein degradation creating fragments that generate multiple bands
Solution: Add protease inhibitors; prepare fresh samples; ensure proper denaturation
Blocking and washing issues:
Antibody concentration:
BCL7C-specific considerations:
Remember that BCL7C has a predicted molecular weight of 23 kDa
Non-specific bands at 50 kDa and 25 kDa may represent IgG heavy and light chains
Consider using loading controls and BCL7C-knockdown samples to identify specific bands
Validation approaches:
Compare your results with the expected band pattern shown in reference blots from manufacturers
Use multiple antibodies targeting different epitopes for confirmation
Include appropriate controls (positive, negative, knockdown) in each experiment
For optimal BCL7C detection in immunohistochemistry, implement these methodological refinements:
Tissue preparation and fixation:
Standard 10% neutral buffered formalin fixation for 24-48 hours is generally appropriate
Avoid overfixation which can mask epitopes
For frozen sections, consider brief fixation in cold acetone or methanol
Antigen retrieval optimization:
Test both heat-induced epitope retrieval methods:
Citrate buffer (pH 6.0) - try this first
EDTA buffer (pH 9.0) - alternative if citrate buffer gives weak signals
Optimize retrieval time (typically 10-20 minutes)
Consider pressure cooker-based retrieval for consistent results
Antibody incubation parameters:
Titrate primary antibody concentration to find optimal dilution
Test both short (1-2 hours room temperature) and long (overnight at 4°C) incubation times
Use antibody diluent containing protein (BSA or serum) to reduce background
Consider signal amplification systems for low-abundance targets
Controls:
Include positive control tissues known to express BCL7C
Employ negative controls (primary antibody omission and isotype controls)
Consider dual staining with markers of specific cell types to confirm localization
Detection and counterstaining:
Choose detection system based on required sensitivity (polymer-based systems often provide better signal-to-noise ratio)
Optimize DAB development time for best signal-to-background ratio
Use appropriate counterstain (hematoxylin) with optimal timing to prevent overcounterstaining
By systematically optimizing these parameters, you can achieve consistent and specific BCL7C staining for reliable immunohistochemical analysis.
To improve co-immunoprecipitation (co-IP) experiments investigating BCL7C interactions (particularly with mutant p53), consider these methodological strategies:
Lysis and buffer optimization:
Use gentle lysis buffers (e.g., NP-40 or digitonin-based) to preserve protein interactions
Based on the successful co-IP of BCL7C with mutant p53 variants, consider buffer conditions similar to those used in the study showing this interaction
Include protease inhibitors to prevent degradation
Perform lysis at 4°C to maintain protein complex integrity
Antibody selection and protocol:
Choose antibodies specifically validated for immunoprecipitation
Consider using tag-based systems (e.g., Myc-tagged BCL7C) if direct IP is challenging
Pre-clear lysates with protein A/G beads to reduce non-specific binding
Optimize antibody amount through titration experiments
Washing and elution:
Optimize wash stringency to balance removal of non-specific binding with preservation of specific interactions
Consider graduated washing with buffers of increasing stringency
Use appropriate elution conditions (competitive elution with peptides or direct boiling in SDS buffer)
Detection strategies:
For BCL7C (23 kDa), be aware of potential overlap with antibody light chains (~25 kDa)
Consider using antibody cross-linking to beads to prevent antibody co-elution
Use antibodies from different host species for IP and blotting when possible
Controls for validation:
Include IgG control immunoprecipitation
Perform reciprocal co-IPs (e.g., IP with anti-BCL7C and blot for p53, then IP with anti-p53 and blot for BCL7C)
Include input samples at different concentrations for quantitative assessment
These strategies can help optimize co-IP experiments investigating BCL7C's protein interactions, particularly its significant interaction with mutant p53 that underlies its tumor suppressor function .
Recent research has revealed significant insights into BCL7C's role in cancer biology:
BCL7C as a tumor suppressor:
High BCL7C expression correlates with favorable prognosis in ovarian cancer
BCL7C suppresses proliferation of cancer cells harboring mutant p53
Knockdown of BCL7C increases cancer cell proliferation and invasion
Mechanism of action:
BCL7C physically interacts with multiple mutant p53 variants including mtp53-R175H, mtp53-Y220C, mtp53-R248W, mtp53-R249S, and mtp53-R273H
This interaction leads to suppression of mutant p53 target gene expression
The tumor-suppressive effect is specifically dependent on mutant p53, as demonstrated in experiments with p53-negative cell lines
Context-dependent effects:
BCL7C shows tumor suppressive activity specifically in contexts where mutant p53 is present
In p53-negative or wild-type p53 cells, BCL7C manipulation has minimal effects on proliferation
This context-dependency suggests a specialized function in counteracting the oncogenic activities of mutant p53
Potential as a biomarker:
BCL7C expression levels could potentially serve as a prognostic biomarker in cancers harboring mutant p53
The combination of BCL7C expression and p53 status might provide more refined patient stratification
These findings establish BCL7C as a novel tumor suppressor that acts by counteracting the oncogenic activities of mutant p53, representing a significant advance in understanding how BCL7C contributes to cancer biology .
The association of BCL7C with chromatin remodeling processes requires specific methodological approaches:
Protein complex identification techniques:
Co-immunoprecipitation with BCL7C antibodies followed by mass spectrometry
Proximity-dependent biotinylation (BioID or TurboID) with BCL7C as bait
Tandem affinity purification of tagged BCL7C to identify stable interaction partners
Density gradient fractionation to isolate native BCL7C-containing complexes
Chromatin association studies:
Chromatin immunoprecipitation (ChIP) using BCL7C antibodies to identify genomic binding sites
ChIP-seq to map genome-wide BCL7C occupancy
Re-ChIP (sequential ChIP) to identify co-occupancy with other chromatin remodeling factors
CUT&RUN or CUT&Tag as alternatives to ChIP for mapping genomic interactions
Functional genomics approaches:
RNA-seq following BCL7C knockdown or overexpression
ATAC-seq to assess changes in chromatin accessibility
HIGH-C to examine effects on chromatin organization
CRISPRi/CRISPRa to modulate BCL7C expression and study chromatin effects
Microscopy-based methods:
Immunofluorescence co-localization with known BAF complex components
Proximity ligation assay to detect protein-protein interactions in situ
Live-cell imaging with fluorescently tagged BCL7C to study dynamics
Since BCL7C is reported to be associated with the "BAF chromatin remodeling complex" , research should focus on interactions with core BAF components like BRG1/BRM, BAF155/170, and SNF5/INI1, and investigate how BCL7C contributes to the function of these complexes in regulating gene expression and chromatin structure.