TP53 (Ab-378) is a polyclonal antibody raised in rabbits against a synthetic non-phosphopeptide derived from human p53 protein, specifically targeting the region surrounding the phosphorylation site of serine 378 (S-T-S(p)-R-H). This antibody recognizes both human and mouse p53 proteins . The antibody binds to the p53 protein through specific epitope recognition, which makes it valuable for detecting both wild-type and certain mutant forms of p53.
TP53 (Ab-378) antibody has been validated for several key research applications including:
Enzyme-Linked Immunosorbent Assay (ELISA) for quantitative detection of p53 protein levels
Western Blotting (WB) at recommended dilutions of 1:500-1:3000 for protein expression analysis
Immunoprecipitation studies to isolate p53 protein complexes
Immunohistochemistry applications for detecting p53 in tissue samples
These applications are instrumental in studying p53's role as a tumor suppressor that regulates cell cycle and apoptosis pathways.
Unlike monoclonal antibodies like PAb419, PAb421, PAb607, and PAb248 that target specific epitopes , TP53 (Ab-378) is a polyclonal antibody that recognizes multiple epitopes centered around the serine 378 region. This characteristic provides broader recognition capabilities while potentially sacrificing some specificity compared to monoclonal alternatives. Additionally, while some antibodies are designed to specifically target mutant forms (such as those recognizing the R175H mutation ), TP53 (Ab-378) recognizes both wild-type and various mutant p53 proteins containing the targeted epitope region.
The TP53 (Ab-378) antibody targets the region around serine 378, making it particularly valuable for studying the phosphorylation dynamics at this position. Researchers can employ this antibody in comparative studies with phospho-specific antibodies to determine:
The ratio of phosphorylated to non-phosphorylated p53 at serine 378
How this phosphorylation changes during cell cycle progression or in response to DNA damage
The impact of various kinase inhibitors on S378 phosphorylation status
When combined with techniques like lambda phosphatase treatment of samples, researchers can confirm the antibody's specificity and phosphorylation dependency.
Cross-reactivity is an important consideration when working with polyclonal antibodies like TP53 (Ab-378). To minimize false positive results:
Always include appropriate negative controls lacking p53 expression
Perform validation with siRNA knockdown of TP53
Consider using multiple antibodies targeting different p53 epitopes for confirmation
Employ TP53-null cell lines as negative controls in immunoassays
For critical findings, validate with orthogonal techniques beyond antibody-based detection
These validation steps are essential for ensuring result specificity, particularly when studying subtle changes in p53 expression or modification.
While TP53 (Ab-378) is not mutation-specific, researchers can strategically employ it alongside mutation-specific antibodies to develop comprehensive p53 mutation profiles. A methodological approach includes:
This multi-layered approach provides both protein-level confirmation and genetic information about p53 status in cancer specimens.
For optimal Western blotting performance with TP53 (Ab-378) antibody:
Following these parameters will help ensure specific detection while minimizing background signal.
For researchers developing multiplex assays to simultaneously detect multiple proteins:
Conjugate TP53 (Ab-378) antibody to spectrally distinct fluorophores or magnetic microspheres
Validate absence of cross-reactivity with other antibodies in the multiplex panel
Establish standard curves using recombinant p53 protein at concentrations from 0.031-0.5 U/mL
Determine the linear range (reported as 5.83-250 U/mL for some p53 immunoassays)
Implement positive and negative controls according to manufacturer protocols
Calculate intra-assay (target <5%) and inter-assay (target <7%) coefficients of variation
This approach enables simultaneous detection of p53 along with other proteins of interest, increasing throughput while reducing sample requirements.
When implementing TP53 (Ab-378) antibody for clinical research applications:
Establish a cut-off threshold for positivity based on appropriate control populations
Validate assay performance across multiple independent cohorts
Calculate sensitivity and specificity values for your specific application
Implement bootstrap techniques to construct 95% confidence intervals for threshold values
Consider pre-analytical variables:
Specimen type (serum vs. plasma)
Storage conditions (temperature, freeze-thaw cycles)
Collection protocols (anticoagulants, processing time)
These considerations ensure reproducible and clinically meaningful results when applied to patient specimens.
When encountering weak or variable signals:
Verify p53 expression levels in your cell system (some cell lines have low baseline expression)
Consider inducing p53 expression with DNA damaging agents (e.g., doxorubicin, UV irradiation)
Optimize protein extraction protocols:
Use freshly prepared lysis buffers with protease inhibitors
Avoid excessive heat during sample preparation
Consider using specialized nuclear extraction protocols for improved yield
Adjust antibody concentration and incubation conditions
Implement signal amplification strategies for low-abundance targets
Verify antibody storage conditions and expiration dates
Remember that p53 expression can vary dramatically based on cell type, stress conditions, and experimental manipulations.
When analyzing data from TP53 (Ab-378) antibody experiments:
Establish appropriate positive and negative controls for each experiment
Consider the impact of post-translational modifications on antibody recognition
Be aware that certain TP53 mutations may affect epitope recognition
Interpret results in the context of p53's known biological functions:
Validate critical findings with orthogonal techniques
To distinguish true p53 signal from background:
Implement peptide competition assays using the immunizing peptide
Use TP53 knockout or knockdown samples as negative controls
Compare patterns with multiple p53 antibodies targeting different epitopes
Verify molecular weight (53 kDa for full-length p53) in Western blot applications
Consider the cell-type specific expression patterns and subcellular localization
Implement the solid-phase radioimmunoassay technique for quantitative analysis
These validation approaches help confirm that observed signals represent authentic p53 detection.
To investigate p53 protein complexes and binding partners:
Implement co-immunoprecipitation protocols:
Use TP53 (Ab-378) as the capture antibody
Probe for interacting proteins in the immunoprecipitate
Consider crosslinking approaches for transient interactions
Develop in vitro association assays similar to those used for p53-SV40 T-antigen studies
Employ proximity ligation assays to visualize interactions in situ
Use complementary approaches like mass spectrometry to identify novel binding partners
Investigate how post-translational modifications around S378 affect protein interactions
These approaches help elucidate the complex network of p53 interactions that mediate its tumor suppressor functions.
When researching the autoimmune response to p53:
Distinguish between research antibody (TP53 Ab-378) and patient-derived autoantibodies
Design capture assays using purified p53 protein as the target
Consider testing for autoantibodies against both wild-type and mutant p53 forms
Evaluate correlation with disease progression and treatment response
Compare autoantibody detection with other biomarkers like CA125
Establish appropriate cut-off values through rigorous statistical analysis
Research has shown that p53 autoantibodies can precede other cancer biomarkers, making this an important area for early detection research .
In therapeutic development contexts:
Use as a screening tool to identify compounds that modify p53 expression or conformation
Implement in cell-based assays evaluating p53 restoration approaches
Compare with mutation-specific antibodies like those targeting R175H for therapeutic specificity
Apply in immunohistochemistry panels for patient stratification in clinical trials
Develop companion diagnostic approaches for p53-targeted therapies
The development of antibodies specifically targeting mutant p53 demonstrates the potential for immunotherapeutic approaches in targeting this common cancer driver .