TCF4 antibodies are immunoglobulins designed to bind specifically to the TCF4 protein, enabling its detection and analysis in experimental systems. These antibodies are pivotal in studying TCF4’s role in:
Neural development: Regulating neuronal differentiation and migration .
Wnt signaling: Interacting with β-catenin to activate target genes .
Cancer research: Investigating TCF4’s role in colorectal and breast carcinomas .
Neuropsychiatric disorders: Linking TCF4 mutations to schizophrenia and bipolar disorder .
TCF4 antibodies are widely used to confirm protein expression levels. For example:
Proteintech 22337-1-AP: Detects TCF4 in Caco-2 (human colon cancer) and K-562 (human leukemia) cells at dilutions of 1:5000–1:50,000 .
Abcam ab217668: Validates TCF4 knockdown in SH-SY5Y neuroblastoma cells, showing a ~90 kDa band corresponding to phosphorylated TCF4 .
Macaque Brain Studies: TCF4 antibodies reveal nuclear staining in postnatal brain tissue, with punctate patterns in neuronal nuclei .
Human Testis and Mouse Brain: Proteintech 22337-1-AP detects TCF4 in human testis and mouse brain tissue, requiring antigen retrieval with TE buffer (pH 9.0) .
Genomic Binding Sites: TCF4 antibodies (e.g., sc-166699) identify 10,604 TCF4 binding sites in SH-SY5Y cells, enriched in E-box motifs (5’-CANNTG-3’) .
Neuropsychiatric Disorders: TCF4 targets genes involved in synaptic function and brain development, overlapping with schizophrenia-associated loci .
Cal-1 Cells: Abcam ab217668 detects TCF4 in permeabilized cells, confirming knockdown efficacy via shRNA .
Neural Progenitor Defects: iPSC-derived PTHS organoids show reduced TCF4, leading to impaired neuronal differentiation and aberrant Wnt/β-catenin signaling .
Rescue Experiments: CRISPR-mediated TCF4 overexpression restores neural progenitor proliferation and SOX transcription factor expression .
β-Catenin Interaction: TCF4/β-catenin complexes drive colorectal tumorigenesis, detectable via co-immunoprecipitation (e.g., SW620 cells) .
Breast Carcinoma: High TCF4 expression in mammary epithelium and carcinomas suggests a role in tumor progression .
Schizophrenia and Bipolar Disorder: TCF4 regulates genes linked to synaptic plasticity and cortical development, with mutations disrupting Wnt signaling .
TCF4 (Transcription Factor 4) is a basic helix-turn-helix transcription factor that recognizes the Ephrussi-box ('E-box') binding site with the consensus sequence 'CANNTG'. This DNA motif was first identified in immunoglobulin enhancers. TCF4 plays crucial roles in cellular development and function, with predominant expression in pre-B cells, though it is found in various other tissues including intestinal and mammary epithelium. The significance of TCF4 in research stems from its involvement in developmental processes and disease states, particularly as defects in this gene cause Pitt-Hopkins syndrome . TCF4 also interacts functionally with β-catenin to mediate Wnt signaling in vertebrates, connecting it to critical developmental and cancer-related pathways .
Selection of an appropriate TCF4 antibody depends on several experimental factors:
Target specificity: Determine whether you need an antibody specifically recognizing TCF4 alone or one that detects both TCF3 and TCF4. For example, monoclonal antibody 6H5 is specific for TCF4, while 6F12 recognizes both TCF3 and TCF4 .
Application requirements: Different antibodies perform optimally in specific applications. Check the validated applications (Western blot, immunohistochemistry, etc.) for your candidate antibodies. For instance, antibody 68607-1-Ig has been validated for Western blot applications with specific recommended dilutions (1:2000-1:10000) .
Species reactivity: Ensure the antibody recognizes TCF4 in your experimental species. Some antibodies recognize both human and mouse TCF4, while others may have limited cross-reactivity .
Epitope location: Consider which domain of TCF4 the antibody recognizes, especially if you're studying specific isoforms or protein interactions.
Validation data: Review available data showing the antibody's specificity and performance in applications similar to your planned experiments .
Detection of TCF4 protein in tissue samples presents several challenges:
Developmental expression variations: TCF4 expression levels can change significantly during development. For example, in mouse brain, TCF4 protein signals are weak at postnatal day 7 and become nearly undetectable at P15 and P80 under standard immunohistochemistry conditions, despite persistent mRNA expression .
Sensitivity limitations: Standard immunodetection methods may lack the sensitivity to detect low levels of TCF4 protein in mature tissues. This issue has been observed in mouse brain tissue, where TCF4 mRNA was detected by in situ hybridization while the protein was undetectable by immunohistochemistry in adult stages .
Spatial expression patterns: TCF4 shows a restricted expression pattern related to developmental stage in certain tissues, such as intestinal epithelium, requiring careful selection of appropriate developmental timepoints .
Nuclear localization: As a transcription factor, TCF4 is primarily localized in the nucleus, which may require specific nuclear extraction protocols for efficient detection .
Fixation sensitivity: Some TCF4 epitopes may be sensitive to certain fixation methods, potentially affecting antibody recognition in immunohistochemistry applications.
When working with TCF4 antibodies, including appropriate controls is essential for result validation:
Positive controls: Include samples known to express TCF4, such as pre-B cells, intestinal epithelium, or mammary tissue . For Western blot applications, cell lines with confirmed TCF4 expression like U2OS, HCT 116, Caco-2, A549, PC-12, SH-SY5Y, K-562, or Daudi cells can serve as positive controls .
Negative controls: Ideally, use TCF4 knockout tissues or cells where available . Alternatively, tissues known to express minimal TCF4 can serve as comparative controls.
Specificity controls: If working with an antibody that recognizes both TCF3 and TCF4 (like 6F12), include additional controls to distinguish between these proteins, potentially using the TCF4-specific antibody (like 6H5) in parallel experiments .
Isotype controls: Include the appropriate isotype control antibody (such as Mouse IgG1 for many TCF4 monoclonal antibodies) to identify non-specific binding .
Secondary antibody controls: Perform staining with just the secondary antibody to identify background staining patterns.
Peptide competition: Where available, use blocking peptides to confirm specificity of the observed signals.
Optimizing immunodetection of TCF4 in tissues with low expression levels requires several strategic approaches:
Signal amplification methods: Consider using tyramide signal amplification (TSA) or other amplification techniques to enhance weak TCF4 signals. This has proven valuable in tissues like adult brain where standard methods fail to detect TCF4 despite confirmed mRNA expression .
Alternative detection strategies: When direct TCF4 immunodetection is challenging, reporter systems can be used. For example, GFP reporter systems have shown enhanced sensitivity for detecting TCF4 expression during postnatal development in mouse models .
Antigen retrieval optimization: Test multiple antigen retrieval methods (heat-induced, enzymatic, pH variants) to maximize epitope accessibility, especially in fixed tissues.
Extended primary antibody incubation: Longer incubation periods at lower temperatures (e.g., overnight at 4°C) can improve detection of low-abundance proteins.
Reduced background strategies: Implement thorough blocking steps and washing protocols to improve signal-to-noise ratio, which is particularly important when detecting weak signals.
Comparative transcript analysis: Use parallel in situ hybridization for Tcf4 mRNA to confirm expression in tissues where protein detection is challenging .
Fresh frozen versus fixed tissue comparison: Test both preparation methods as some epitopes may be better preserved in frozen sections.
Resolving contradictory TCF4 antibody staining patterns requires systematic investigation:
Epitope mapping: Different antibodies may recognize distinct epitopes on TCF4 that could be differentially accessible in various tissues or developmental stages. Mapping the specific epitopes recognized by each antibody can explain discrepancies.
Isoform specificity analysis: TCF4 exists in multiple isoforms (including isoforms C, D, E, L, M, and R) . Determine whether your antibodies recognize specific isoforms that may be differentially expressed across tissues.
Developmental timing assessment: TCF4 expression follows temporal gradients in tissues like intestinal epithelium, with distinct patterns in fetal versus adult tissues . Examining samples from different developmental stages may resolve apparent contradictions.
Cross-reactivity testing: Some TCF4 antibodies may cross-react with related proteins like TCF3, particularly those targeting conserved domains . Validation with multiple antibodies recognizing different epitopes can clarify true expression patterns.
Transcriptional validation: Compare protein staining patterns with mRNA expression data through in situ hybridization or RT-PCR from the same tissues .
Technical parameter standardization: Ensure consistency in fixation methods, antigen retrieval, antibody concentrations, and detection systems when comparing results across tissues or studies.
Verifying TCF4 antibody specificity requires multiple complementary approaches:
Genetic models: The gold standard for antibody validation is testing in TCF4 knockout tissues or cells. Absence of signal in knockout samples confirms specificity .
siRNA/shRNA knockdown: In the absence of knockout models, knockdown of TCF4 expression using RNA interference followed by antibody staining can demonstrate specificity.
Overexpression systems: Comparing staining in cells with endogenous versus overexpressed TCF4 can confirm that the signal increases proportionally with protein levels.
Immunoprecipitation and mass spectrometry: Performing IP with the TCF4 antibody followed by mass spectrometry analysis can identify all proteins recognized by the antibody.
Western blot analysis: Confirming that the antibody detects proteins of the expected molecular weight (approximately 72 kDa for TCF4; observed at 72 kDa and 68 kDa in some studies) .
Dual antibody approach: Using two antibodies targeting different TCF4 epitopes and confirming co-localization of signals provides strong evidence for specificity.
Protein-protein interaction validation: For functional validation, demonstrating that the antibody can immunoprecipitate known TCF4 interaction partners, such as β-catenin in colon carcinoma cells .
For studying TCF4/β-catenin complexes, several methodological approaches are recommended:
Co-immunoprecipitation (Co-IP): This is a validated approach for detecting TCF4/β-catenin complexes in nuclear extracts from cells like colon carcinoma cell lines. For example, TCF4 can be immunoprecipitated using the 6H5 monoclonal antibody, followed by Western blot analysis with β-catenin antibodies to detect the approximately 92 kDa β-catenin protein in the complex .
Gel retardation (EMSA) analysis: This technique can demonstrate the DNA binding activity of TCF4 complexes. Nuclear extracts containing TCF4 can be incubated with an optimal TCF binding motif probe, and the specific retardation of the probe indicates TCF protein binding. Adding TCF4-specific antibodies (like 6H5 or 6F12) can induce a supershift, confirming TCF4's presence in the complex .
Proximity ligation assay (PLA): This method can visualize TCF4/β-catenin interactions in situ within cells or tissues with high sensitivity and specificity.
Chromatin immunoprecipitation (ChIP): ChIP can identify genomic loci where TCF4/β-catenin complexes bind, providing functional insights into target genes.
FRET/BRET analysis: These techniques can study the dynamic interaction between TCF4 and β-catenin in living cells when the proteins are tagged with appropriate fluorophores.
Nuclear fractionation: Proper cell fractionation is critical when studying TCF4/β-catenin complexes to distinguish nuclear (transcriptionally active) complexes from cytoplasmic pools of these proteins.
Reporter gene assays: Functional validation of TCF4/β-catenin complex activity can be performed using TCF/LEF reporter constructs containing multiple TCF binding sites.
When interpreting discrepancies between TCF4 mRNA expression and protein detection results, consider these analytical approaches:
Post-transcriptional regulation: TCF4 may be subject to post-transcriptional regulation mechanisms affecting translation efficiency, resulting in mRNA presence without proportional protein levels. This has been observed in mouse brain development where TCF4 mRNA is detected throughout postnatal development while protein becomes undetectable by standard methods in later stages .
Protein stability and turnover: TCF4 protein may have different stability or turnover rates in different tissues or developmental stages, affecting steady-state protein levels without changing mRNA expression.
Detection threshold limitations: Standard immunodetection methods may have sensitivity thresholds that fail to detect low levels of TCF4 protein despite substantial mRNA expression. This has been confirmed by the use of more sensitive reporter systems .
Technical considerations: Different fixation methods affect protein epitope preservation while having minimal impact on mRNA detection by in situ hybridization. Compare results from multiple fixation protocols.
Spatial and temporal dynamics: TCF4 expression follows developmental gradients in tissues like intestinal epithelium . Examining the precise spatial and temporal patterns can reconcile apparent discrepancies.
Isoform-specific expression: Different TCF4 isoforms may be translated from the same mRNA with varying efficiency or detected differentially by antibodies with isoform specificity.
Quantitative analysis: When possible, perform quantitative comparisons of mRNA (by qPCR) and protein (by quantitative Western blot) from the same samples to establish correlation patterns.
For optimal TCF4 immunodetection, sample preparation should be tailored to the specific application:
For Western Blot Analysis:
Cell lysis buffer: Use RIPA buffer supplemented with protease inhibitors for general applications. For nuclear proteins like TCF4, consider specialized nuclear extraction protocols.
Sample handling: Process samples quickly and maintain cold temperatures throughout preparation to prevent protein degradation.
Protein quantification: Ensure equal loading by accurate protein quantification methods like BCA or Bradford assays.
Denaturation conditions: Standard SDS-PAGE sample preparation (95°C for 5 minutes) is typically suitable for TCF4 detection.
Gel percentage: Use 8-10% polyacrylamide gels for optimal resolution of TCF4 (approximately 72 kDa) .
For Immunohistochemistry/Immunofluorescence:
Fixation: 4% paraformaldehyde fixation is commonly used, but optimal duration may vary by tissue type.
Antigen retrieval: Test multiple methods (citrate buffer pH 6.0, EDTA buffer pH 9.0, or enzymatic retrieval) to determine optimal conditions for your specific antibody and tissue.
Section thickness: For brain and other complex tissues, 10-20 μm sections typically provide good resolution for cellular localization.
Blocking conditions: Use 5-10% normal serum (matching the species of the secondary antibody) with 0.1-0.3% Triton X-100 for permeabilization.
Antibody concentration: Titrate antibody concentrations - for example, 1:2000-1:10000 dilutions have been successful for some TCF4 antibodies in Western blot applications .
Several strategies can overcome common pitfalls in TCF4 antibody applications:
Non-specific binding: Increase blocking time/concentration and optimize antibody dilution. For tissues with high background, consider using specialized blocking reagents containing both serum and bovine serum albumin.
Weak or absent signals:
Increase antibody concentration or incubation time
Try alternative antigen retrieval methods
Consider signal amplification systems like tyramide signal amplification
Use alternative detection systems (reporter genes) when direct detection fails
Try alternative antibodies recognizing different epitopes
Inconsistent results across experiments:
Standardize all protocols including sample preparation, blocking times, antibody dilutions
Prepare larger batches of working antibody dilutions to reduce variation
Include consistent positive controls in each experiment
Consider using automated staining platforms to reduce technical variability
Cross-reactivity issues:
Validate with multiple antibodies targeting different epitopes
Perform peptide competition assays
Include appropriate negative controls including isotype controls
Consider pre-absorption of antibodies if cross-reactivity is identified
Nuclear staining challenges:
Ensure adequate permeabilization for nuclear antigens
Optimize fixation conditions to preserve nuclear morphology while maintaining epitope accessibility
Consider specialized nuclear extraction protocols for Western blot applications
Quantitative analysis of TCF4 expression requires systematic approaches:
For Western Blot Quantification:
Normalization strategy: Use appropriate loading controls (β-actin, GAPDH for total protein; Lamin B1, Histone H3 for nuclear fractions).
Linear range determination: Perform dilution series to ensure signal detection is within the linear range of your detection method.
Technical replicates: Include at least three technical replicates per biological sample.
Software analysis: Use dedicated image analysis software (ImageJ, Image Lab, etc.) with consistent quantification parameters.
Statistical approach: Apply appropriate statistical tests based on your experimental design and data distribution.
For Immunohistochemistry Quantification:
Standardized image acquisition: Maintain consistent microscope settings across all samples (exposure time, gain, etc.).
Sampling strategy: Define systematic sampling approach (random fields, specific anatomical regions) applied consistently across all samples.
Quantification methods:
For nuclear staining intensity: Mean fluorescence intensity measurements of nuclear regions
For expression patterns: Cell counting with defined positive/negative thresholds
For complex patterns: Consider advanced image analysis with machine learning approaches
Normalization: Include reference markers for normalization across sections (cell number, tissue area, etc.).
Blinded analysis: Perform quantification blinded to experimental conditions to avoid bias.
For Cell Type-Specific Analysis:
Co-staining approaches: Combine TCF4 antibody with cell type-specific markers for colocalization analysis.
Cell sorting: For heterogeneous populations, consider FACS sorting followed by protein expression analysis.
Single-cell analysis: For highly heterogeneous tissues, consider single-cell approaches to distinguish cell-specific expression patterns.
Effective multiplexing of TCF4 antibodies with other markers requires careful planning:
Antibody compatibility assessment:
Host species selection: Choose primary antibodies raised in different host species to avoid cross-reactivity of secondary antibodies.
Isotype diversity: When using multiple antibodies from the same species, consider using different isotypes that can be detected with isotype-specific secondary antibodies.
Sequential staining protocols:
For challenging combinations, implement sequential staining with complete blocking between rounds.
Consider microwave treatment or elution buffers between rounds to remove previous antibodies while preserving tissue morphology.
Spectral considerations:
Select fluorophores with minimal spectral overlap.
Include single-stained controls for spectral unmixing if needed.
For brightfield multiplexing, use distinct chromogens with good contrast (DAB, Vector Red, etc.).
Signal amplification strategies:
Apply signal amplification selectively to markers with weaker expression.
TSA amplification can be particularly effective for multiplexing when one antibody requires significant amplification.
Validated multiplex combinations:
Order of detection:
Generally, detect the weakest signal first and the strongest last.
For nuclear transcription factors like TCF4, perform nuclear staining last if using fluorescent DNA stains to avoid interference.
Interpretation of developmental changes in TCF4 expression requires nuanced analysis:
Temporal expression gradient analysis: TCF4 expression follows developmental gradients, as observed in intestinal epithelium where a gradient exists along the crypt-villus axis. In early human fetal small intestine (week 16), strong TCF4 expression is present in crypts with barely detectable levels in villi, while expression increases dramatically on villi in more developed (week 22) tissue .
Transcript-protein correlation assessment: Developmental regulation may differ between mRNA and protein levels. In mouse brain, TCF4 protein signals are detectable at postnatal day 7 but become undetectable at P15 and P80 despite persistent mRNA expression .
Tissue-specific developmental programs: Consider the developmental context specific to each tissue. TCF4's highly restricted expression pattern is related to the developmental stage of intestinal epithelium .
Functional interpretation frameworks:
In neural development: Changes may reflect transitions in neurogenesis, differentiation, or circuit formation
In intestinal development: Expression changes correlate with maturation of epithelial cell function
In mammary development: Expression patterns may reflect differentiation states
Comparative developmental timing: When comparing across species, consider relative developmental timing rather than absolute age.
Integration with known developmental pathways: Interpret TCF4 expression changes in the context of Wnt signaling pathway activity and β-catenin localization .
TCF4 expression has several significant implications in cancer research:
Diagnostic marker potential: High levels of TCF4 expression are found in intestinal and mammary epithelium and carcinomas derived from these tissues . This expression pattern suggests potential utility as a diagnostic marker for certain cancer types.
Wnt pathway dysregulation: TCF4 interacts functionally with β-catenin to mediate Wnt signaling. In colon carcinoma, nuclear TCF4/β-catenin complexes can be directly demonstrated through co-immunoprecipitation and gel retardation analysis . These complexes are central to the aberrant activation of Wnt target genes in cancer.
Tumor suppressor interactions: The tumor suppressor function of APC in the small intestine is mediated via regulation of TCF4/β-catenin transcriptional activity . Loss of this regulation is a key step in colorectal carcinogenesis.
Cancer type specificity: The restricted expression pattern of TCF4 suggests specific roles in tissues like intestinal and mammary epithelium and their derived carcinomas . This tissue specificity may inform targeted therapeutic approaches.
Experimental applications in cancer research:
TCF4 antibodies can be used to assess nuclear localization of TCF4 in tumor samples
Co-staining of TCF4 and β-catenin can identify active Wnt signaling in tumors
TCF4 expression analysis across different cancer stages may reveal prognostic patterns
Therapeutic target evaluation: Understanding TCF4/β-catenin interactions may inform development of targeted therapies for cancers with aberrant Wnt pathway activation.
TCF4 antibodies can be valuable tools in neurological disorder research:
Pitt-Hopkins syndrome studies: Defects in the TCF4 gene cause Pitt-Hopkins syndrome, a neurodevelopmental disorder . TCF4 antibodies can be used to:
Characterize expression patterns in relevant brain regions
Assess potential haploinsufficiency in patient-derived cells
Evaluate protein function in cellular and animal models
Developmental neurobiology applications:
Functional studies in neuronal systems:
Investigate TCF4's role in neuronal differentiation and maturation
Examine activity-dependent regulation of TCF4 expression
Assess transcriptional targets in neuronal subtypes
Technical considerations for neurological applications:
Disease model applications:
Study TCF4 expression alterations in models of neurodevelopmental disorders
Assess effects of disease-associated mutations on protein localization and function
Evaluate potential therapeutic interventions targeting TCF4 pathways
To assess functional outcomes of TCF4 protein interactions, several experimental approaches are recommended:
Transcriptional reporter assays: Utilize reporter constructs containing TCF binding sites (E-box elements, 'CANNTG' motifs) to assess transcriptional activation or repression by TCF4 and its binding partners .
Co-immunoprecipitation followed by functional analysis:
Chromatin immunoprecipitation (ChIP) approaches:
Use TCF4 antibodies for ChIP to identify genomic binding sites
Perform sequential ChIP (re-ChIP) to identify loci co-bound by TCF4 and partners like β-catenin
Combine with sequencing (ChIP-seq) for genome-wide binding profiles
Gene expression analysis after manipulation:
Measure transcriptional outcomes after knockdown or overexpression of TCF4
Assess effects of disrupting specific protein-protein interactions
Compare wild-type and mutant forms of TCF4 on target gene expression
Protein-protein interaction visualization:
Use proximity ligation assays to visualize TCF4 interactions in situ
Implement FRET/BRET approaches for live-cell interaction dynamics
Apply BiFC (Bimolecular Fluorescence Complementation) to confirm direct interactions
Functional domain analysis:
Test the effects of mutations in specific TCF4 domains on protein interactions and function
Utilize deletion constructs to map interaction domains
Assess the impact of disease-associated mutations on protein interactions
| Technical Parameter | Specifications |
|---|---|
| Molecular Information | |
| Target Full Name | Transcription Factor 4 |
| Calculated Molecular Weight | 671 aa, 72 kDa |
| Observed Molecular Weight | 72 kDa; 68 kDa |
| Gene Symbol | TCF4 |
| UniProt ID | P15884 |
| Entrez Gene ID | 6925 |
| GenBank Accession Number | BC125084 |
| Antibody Properties | |
| Host Species | Mouse (for major monoclonal antibodies) |
| Isotype | IgG1 (for antibody 68607-1-Ig) |
| Class | Monoclonal |
| Epitope Regions | N-terminal region (for antibodies like 6H5, 6F12) |
| Application Performance | |
| Western Blot | Recommended dilution 1:2000-1:10000 |
| Immunoprecipitation | Validated for TCF4/β-catenin complex studies |
| Immunohistochemistry | Effective with optimization; may require signal amplification |
| EMSA/Gel Shift | Validated for supershift assays |
| Species Reactivity | |
| Validated Species | Human, mouse, rat |
| Storage Conditions | |
| Recommended Storage | -20°C |
| Buffer Composition | PBS with 0.02% sodium azide and 50% glycerol pH 7.3 |
| Stability | Typically stable for one year after shipment |