Phospho-EP300 (S89) antibody is a rabbit polyclonal antibody generated against a synthetic phosphopeptide corresponding to amino acids 55–104 of human EP300, encompassing the phosphorylated S89 residue . Key characteristics include:
EP300 phosphorylation at S89 reduces its interaction with nuclear receptors (e.g., PPARG) and modulates transcriptional activity .
This antibody supports diverse experimental workflows:
β-catenin/p300 Interaction: Phosphorylation at S89 enhances EP300’s association with β-catenin, influencing stem cell maintenance and differentiation .
Inflammatory Disease Models: S89A knock-in mice exhibit increased susceptibility to colitis, linking this phosphorylation site to intestinal homeostasis and immune response .
Cancer Research: Detects phosphorylated EP300 in human cancer tissues, suggesting roles in tumor progression .
Phosphorylation at S89 integrates multiple signaling pathways:
AMPK Pathway: S89 phosphorylation by AMP-activated protein kinase (AMPK) reduces EP300’s interaction with nuclear receptors, altering transcriptional programs .
Crosstalk with β-catenin: Differential usage of EP300 versus CBP by β-catenin is regulated by S89 phosphorylation, affecting stem/progenitor cell fate .
Colitis and Colorectal Cancer: S89A mutant mice show exacerbated colitis and microbiome dysbiosis, highlighting this site’s role in inflammation and cancer risk .
Metabolic and Oxidative Stress Pathways: Proteomic analyses link S89 phosphorylation to lipid metabolism, mitochondrial function, and oxidative phosphorylation .
Oncology: Investigate EP300 S89 phosphorylation in tumorigenesis and metastasis.
Stem Cell Biology: Explore β-catenin/EP300 interactions in differentiation and tissue repair .
Inflammatory Diseases: Study S89’s role in colitis, Crohn’s disease, and immune modulation.
Cross-Reactivity: Further validation in non-human models (e.g., zebrafish, Xenopus) is warranted .
Kinase Networks: Identify upstream kinases beyond AMPK regulating S89 phosphorylation.
Affinity Biosciences. (2022). Phospho-TAZ (Ser89) Antibody. [AF4315 Product Page]
Abcam. (2024). EP300 phospho S89. [Product Reference]
Abcepta. (2025). Phospho-EP300(S89) Antibody. [AP3197a Datasheet]
St John’s Labs. (2025). Anti-Phospho-EP300-Ser89 Antibody. [STJ91120 Protocol]
PMC. (2021). p300 Serine 89: A Critical Signaling Integrator and Its Effects on Intestinal Homeostasis. [PMC7999107]
American Research Products. (2024). Phospho-EP300 (S89) Antibody. [CSB-PA008052 Documentation]
EP300 (also known as p300) is an adenovirus E1A-associated cellular transcriptional co-activator protein that functions as a histone acetyltransferase. It is related to CREB-binding protein (CBP) and can stimulate transcription through CREB activation . EP300 also serves as a co-activator of HIF1A (hypoxia-inducible factor 1 alpha), contributing to the regulation of hypoxia-induced genes such as VEGF .
Phosphorylation at serine 89 (S89) represents a post-translational modification that can modulate EP300's activity, protein-protein interactions, and potentially its subcellular localization. This specific phosphorylation site is significant enough to warrant dedicated antibodies for its detection, suggesting its importance in signaling pathways and transcriptional regulation mechanisms .
Phospho-EP300 (S89) antibodies are primarily used in several experimental techniques:
Immunohistochemistry (IHC-P): For detection of phosphorylated EP300 in formalin-fixed paraffin-embedded tissue sections, providing insights into protein expression and localization within tissue context
Dot Blotting: For rapid detection of the phosphorylated protein without size separation
ELISA: For quantitative detection of phosphorylated EP300 in solution-based assays
These applications enable researchers to investigate EP300 phosphorylation status across various experimental conditions, disease states, and tissue types, contributing to understanding EP300's role in cellular processes and pathological conditions .
Verifying antibody specificity is crucial for reliable experimental outcomes. For Phospho-EP300 (S89) antibodies, you should:
Perform dot blot analysis: Compare reactivity between phospho-peptide and non-phospho-peptide controls. Published data shows specific binding to phosphorylated target peptides at concentrations around 0.5 μg/ml
Include phosphatase treatment controls: Samples treated with phosphatases should show reduced or eliminated signal if the antibody is truly phospho-specific
Use genetic controls: Samples from EP300 knockout systems or S89A mutants (serine replaced with alanine to prevent phosphorylation) should show negative results
Cross-validate with other detection methods: Mass spectrometry or alternative phospho-specific antibodies targeting different epitopes can confirm phosphorylation status
This multi-faceted approach ensures that observed signals genuinely represent S89 phosphorylation rather than non-specific binding or cross-reactivity with similar epitopes .
EP300 functions as a co-activator of HIF1A, a critical transcription factor in hypoxic response . To effectively study S89 phosphorylation dynamics under hypoxia:
Time-course experiment design:
Expose cells to hypoxic conditions (1% O₂) for intervals (0, 1, 3, 6, 12, 24 hours)
Include both quick-onset and sustained hypoxia models
Compare with chemical hypoxia mimetics (CoCl₂, DMOG, DFO)
Combined analytical approaches:
Quantitative Western blotting with Phospho-EP300 (S89) antibody
Immunoprecipitation followed by phospho-specific detection
Parallel immunofluorescence to assess subcellular localization changes
Functional correlation:
Monitor HIF1A target gene expression (e.g., VEGF) simultaneously
Assess EP300 HAT activity in relation to phosphorylation state
Use S89A and S89D/E (phosphomimetic) mutants to confirm functional impact
This comprehensive approach allows for temporal resolution of phosphorylation events while connecting them to functional outcomes in hypoxic response pathways .
When analyzing cancer tissues with Phospho-EP300 (S89) antibody, consider these critical factors:
Tissue handling and fixation:
Phosphorylation modifications are labile; minimize time between tissue acquisition and fixation
Document fixation conditions precisely as overfixation can mask epitopes
Consider phosphatase inhibitor inclusion during sample preparation
Validation in specific cancer contexts:
Signal interpretation framework:
Establish scoring systems that account for:
Intensity of phospho-signal
Percentage of positive cells
Subcellular localization patterns (nuclear vs. cytoplasmic)
Heterogeneity within tumor regions
Essential controls:
| Control Type | Purpose | Implementation |
|---|---|---|
| Negative | Assess background/non-specific binding | IgG isotype control and/or phosphopeptide competition |
| Positive | Confirm detection system functionality | Known positive sample (e.g., stimulated cell line lysate) |
| Biological | Validate biological relevance | Compare with normal adjacent tissue |
| Technical | Account for staining variability | Include reference tissues in each batch |
This methodical approach enhances reliability when interpreting phosphorylation status in complex heterogeneous tissues like tumors .
To leverage this antibody for investigating EP300's role in transcriptional regulation:
Chromatin immunoprecipitation (ChIP) approaches:
Conduct sequential ChIP (first with Phospho-EP300 (S89) antibody, then with antibodies against interacting transcription factors)
Compare genome-wide binding patterns of total EP300 versus phosphorylated EP300(S89)
Correlate phosphorylation status with active transcription markers (H3K27ac, RNA Pol II)
Functional transcriptional assays:
Reporter gene assays comparing wild-type EP300 vs. S89A mutant effects
RNA-seq following modulation of S89 phosphorylation status
Nascent transcription assays (e.g., PRO-seq) to capture immediate transcriptional impacts
Protein interaction studies:
Compare interactome of phosphorylated vs. non-phosphorylated EP300
Assess how S89 phosphorylation affects interaction with CREB and other transcription factors
Investigate phosphorylation-dependent alterations in transcriptional complex assembly
These approaches connect the static detection of phosphorylation with dynamic functional outcomes in transcriptional regulation .
For optimal IHC results with Phospho-EP300 (S89) antibody:
Antigen retrieval optimization:
Compare heat-induced epitope retrieval methods (citrate pH 6.0 vs. EDTA pH 9.0)
Evaluate retrieval duration (10-30 minutes) for optimal signal-to-noise ratio
Consider dual pH approach if detecting multiple targets
Antibody incubation parameters:
Signal development system selection:
Counterstaining considerations:
Light hematoxylin counterstaining preserves phospho-signal visibility
DAPI for nuclear definition in fluorescence applications
Avoid prolonged exposure to aqueous solutions which may leach phospho-epitopes
These methodological refinements help overcome common challenges in phospho-epitope detection while maximizing signal specificity and intensity .
To preserve antibody performance over time:
Storage recommendations:
Working solution preparation:
Shipping and temporary storage:
Performance monitoring:
These practices maximize antibody lifespan and experimental reproducibility while minimizing resource waste .
When encountering detection problems:
Sample preparation assessment:
Phosphorylation modifications can be rapidly lost; evaluate sample handling time
Confirm phosphatase inhibitor inclusion in all buffers
Consider alternative fixation protocols if using histological specimens
Technical optimization approach:
Titrate antibody concentration (try 2-3× higher concentration)
Extend primary antibody incubation time or adjust temperature
Evaluate different detection systems (HRP vs. fluorescence)
Employ signal amplification techniques (biotin-streptavidin, tyramide)
Biological considerations:
Verify experimental conditions that promote S89 phosphorylation
Consider stimulus duration and strength (phosphorylation may be transient)
Use positive control samples with known phosphorylation status
Antibody validation:
This systematic troubleshooting framework addresses both technical and biological factors that may contribute to detection challenges .
To identify and validate the kinases that phosphorylate EP300 at S89:
Kinase prediction and screening:
Perform in silico analysis of S89 sequence context using kinase prediction tools
Screen candidate kinases using in vitro kinase assays with recombinant EP300 fragments
Conduct kinase inhibitor panels to identify relevant pathways
Cellular validation approaches:
Implement genetic approaches (siRNA/shRNA/CRISPR) targeting candidate kinases
Use phospho-specific antibody to monitor S89 phosphorylation changes
Create phosphorylation sensor constructs for live-cell imaging
Physical interaction demonstration:
Co-immunoprecipitation of EP300 with candidate kinases
Proximity ligation assays to verify interactions in intact cells
Mass spectrometry-based approaches to identify kinase-substrate complexes
Functional validation:
Determine how kinase inhibition affects EP300-dependent transcriptional events
Assess whether kinase overexpression enhances S89 phosphorylation
Evaluate physiological stimuli that activate both the kinase and increase S89 phosphorylation
This comprehensive approach provides multiple lines of evidence for kinase identification and validation .
Effective comparative analyses include:
Ratio-based approaches:
Calculate phospho-to-total EP300 ratios across experimental conditions
Normalize phospho-signals to total protein to distinguish regulation mechanisms
Track temporal changes in phosphorylation ratio during cellular processes
Localization comparison methods:
Perform dual immunofluorescence with total and phospho-specific antibodies
Conduct subcellular fractionation followed by Western blot analysis
Use proximity ligation assays to identify differential interaction partners
Functional comparative assays:
ChIP-seq with both antibodies to identify phosphorylation-dependent genomic binding sites
Assess differential protein complex formation using proteomics approaches
Compare transcriptional activation potential between phosphorylated and total pools
Differential stimulus response:
Create response profiles across stressors (hypoxia, DNA damage, inflammation)
Develop phosphorylation kinetics models under various conditions
Identify conditions where total protein and phospho-form are differentially regulated
These comparative analyses provide deeper insights into how S89 phosphorylation modulates EP300 function in different biological contexts .
For comprehensive multi-parameter studies:
Multiplexed imaging approaches:
Combine with other phospho-specific and total protein antibodies using:
Sequential immunofluorescence with spectral unmixing
Multiplexed immunohistochemistry with chromogenic detection
Cyclic immunofluorescence for high-parameter tissue analysis
Flow cytometry and mass cytometry applications:
Develop intracellular staining protocols for phospho-EP300 detection
Combine with cell surface markers and other intracellular targets
Create high-dimensional datasets for computational analysis
Integration with omics technologies:
Correlate phospho-EP300 status with:
Transcriptome data (RNA-seq)
Chromatin accessibility (ATAC-seq)
Global phosphoproteome patterns
Single-cell analysis integration:
Develop compatible fixation and permeabilization protocols
Combine with other signaling markers for pathway profiling
Create computational frameworks for analyzing heterogeneous responses
This integration enables contextual understanding of EP300 phosphorylation within broader cellular signaling networks and phenotypic outcomes .
Essential quality control measures include:
Specificity verification:
Sensitivity assessment:
Determine limit of detection using serial dilutions of positive control
Evaluate signal-to-noise ratio across applications
Compare with other phospho-EP300 detection methods
Application-specific validation:
Batch consistency verification:
Compare lot-to-lot performance using standardized samples
Document any variations in optimal working concentrations
Maintain reference standards for long-term studies
These validation steps ensure reliable performance across experimental applications and minimize variability in research outcomes .
The advantages of rabbit polyclonal antibodies for phospho-EP300 detection include:
Epitope recognition characteristics:
Polyclonal nature provides recognition of multiple epitopes surrounding the S89 site
Enhanced signal through multiple binding events per target molecule
Greater tolerance to minor conformational changes or partial epitope masking
Production considerations:
Application versatility:
Limitations and alternatives:
Lot-to-lot variation may require standardization
For absolute quantification, consider phospho-specific monoclonal antibodies
For super-resolution imaging, smaller detection agents (Fabs, nanobodies) may be preferable