Phospho-CREB1 (S133) recombinant monoclonal antibodies are specialized tools for detecting the activated form of cAMP response element-binding protein 1 (CREB1) phosphorylated at serine 133. This post-translational modification is critical for CREB1’s role as a transcription factor in cAMP-mediated signaling pathways, influencing processes such as neuronal plasticity, circadian rhythm regulation, and cell survival .
Detects bands at 36–46 kDa, depending on the species and experimental conditions .
Specificity Confirmation:
Nuclear staining observed in tonsillar lymphocytes and retinal ganglion cells .
Validated in formalin-fixed, paraffin-embedded tissues with hematoxylin counterstaining .
Flow Cytometry: PE-Cy3-conjugated antibodies enable quantification of phospho-CREB1 in single-cell suspensions .
Chromatin Immunoprecipitation (ChIP): Used to study CREB1-DNA interactions in transcriptional regulation .
Neuronal Studies: Increased phospho-CREB1 levels correlate with (R,S)-CHPG and (S)-3,5-DHPG (mGlu agonists) in SK-N-SH cells .
Stress Responses: UV exposure in HEK293T cells induces CREB1 phosphorylation, detectable at 45 kDa .
Diabetes: Overexpression of SH2B1 in high-glucose conditions reduces apoptosis by modulating P-CREB/CREB ratios .
Cancer: Strong nuclear staining in tonsillar lymphocytes suggests CREB1 activation in immune-related pathologies .
This recombinant anti-CREB1 antibody was produced using a novel expression system. The process involved immunizing an animal with a synthesized peptide derived from human Phospho-CREB1 (S133), isolating positive splenocytes, extracting RNA, obtaining DNA by reverse transcription, sequencing and screening the CREB1 antibody gene, and amplifying the heavy and light chain sequences by PCR. These sequences were then cloned into plasma vectors and transfected into mammalian cells for antibody production. The final product, a recombinant CREB1 antibody, was purified using affinity chromatography. This antibody exhibits reactivity with CREB1 protein from human and is suitable for use in ELISA, WB, IHC, and IF applications.
In the adult mammalian retina, p-CREB1 is typically confined to the ganglion cell and inner nuclear layers. Similar to other regions of the nervous system, stressful stimuli can induce CREB1 phosphorylation in retinal neurons. CREB1 not only regulates the expression of its own direct target genes but is also implicated in signaling crosstalk with nuclear receptors such as the glucocorticoid receptor and ERα. The stimulatory or repressive effect of CREB1 on nuclear receptor activity appears to be cell-context dependent. Following phosphorylation of serine 133 by PKA, pCREB1 can specifically recruit the coactivator CREB binding protein (CBP) and its paralog p300. The stimulatory activity of CREB1 necessitates its DNA binding and activation through phosphorylation, influencing the chromatin recruitment of ERα. CREB1 and ERα demonstrate biochemical association and share hundreds to thousands of chromatin binding sites upon stimulation by estrogen and cAMP, respectively.
Phosphorylation of CREB1 at serine 133 represents a critical activation event that enables CREB1 to function as a transcription factor. This specific phosphorylation allows CREB1 to interact with CREB binding protein (CBP), which subsequently facilitates interaction with RNA polymerase II to initiate transcription. The phosphorylation occurs in response to various stimuli including cyclic AMP, calcium, growth factors, and hormones via multiple signaling pathways including ERK1/2, PKA, PKC, and CaMKII . Once phosphorylated, CREB1 binds to cAMP-responsive elements (CRE) in the promoter regions of target genes, activating expression of proto-oncogenes such as cyclin A and Bcl-2, which regulate critical cellular processes including differentiation, proliferation, cell cycle progression, apoptosis, neovascularization, and inflammatory responses .
Monoclonal and polyclonal Phospho-CREB1 (S133) antibodies offer distinct advantages depending on the experimental context:
Antibody Type | Specificity | Batch Consistency | Epitope Recognition | Optimal Applications |
---|---|---|---|---|
Monoclonal (e.g., E113 clone) | Highly specific for single epitope | Excellent batch-to-batch reproducibility | Limited to single epitope around pS133 | Flow cytometry, quantitative assays, applications requiring consistent results across experiments |
Polyclonal | Recognizes multiple epitopes around pS133 | Moderate batch variation | Broader epitope recognition | Immunohistochemistry, detection in fixed tissues, detection of partially denatured proteins |
Both antibody types exhibit specificity for the phosphorylated form of CREB1 as demonstrated in western blot validation studies with in vitro phosphorylated CREB protein, showing no reactivity to non-phosphorylated CREB . For critical quantitative research requiring highly reproducible results, the recombinant monoclonal antibody (such as clone E113) provides superior consistency and specificity for the phospho-serine 133 site .
While the calculated molecular weight of CREB1 is approximately 36.7 kDa, researchers should anticipate detecting Phospho-CREB1 (S133) as a band between 43-46 kDa in western blot applications. This apparent molecular weight discrepancy is consistently observed across multiple studies with validated antibodies. The observed molecular weight of approximately 52 kDa reported in some systems may reflect post-translational modifications or detection of specific isoforms . When validating new antibody lots, researchers should confirm detection specificity by comparing non-phosphorylated and phosphorylated CREB controls, as demonstrated in validation studies where antibodies show specific reactivity only to the in vitro phosphorylated form of CREB (treated with Protein Kinase A and ATP) . Additional bands at other molecular weights may represent related transcription factors with similar phosphorylation motifs or CREB isoforms resulting from alternative splicing.
The preservation of phosphorylation-specific epitopes requires careful consideration of fixation and sample preparation protocols:
For Western Blot Applications:
Rapidly harvest samples on ice with phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate)
Lyse cells in buffer containing 1% SDS for complete protein denaturation
Block membranes in 5% non-fat dry milk in TBS with 0.1% Tween-20 (TBST-M) overnight at 4°C
Use 1:500 dilution of primary antibody in TBST-M with 1-hour room temperature incubation
Multiple washes (6× with TBST) are critical for reducing background
Follow with appropriate HRP-conjugated secondary antibody (1:5000 dilution)
For Immunohistochemistry Applications:
Formalin fixation and paraffin embedding preserves tissue architecture while maintaining phospho-epitope detection
Antigen retrieval using EDTA buffer is critical for exposing the phospho-epitope
Block endogenous peroxidase activity with 3% hydrogen peroxide for 20 minutes
Block non-specific binding with 10% serum albumin for 30 minutes
Use optimized antibody dilution (1:10,000 for anti-CREB1 phospho S133)
Overnight incubation at 4°C maximizes specific binding
Detection systems should be compatible with rabbit primary antibodies
These protocols have been validated across multiple research laboratories and provide reliable detection of authentic Phospho-CREB1 (S133) signals in diverse experimental systems .
Validating the phosphorylation-specific signal is critical for ensuring experimental rigor when using Phospho-CREB1 (S133) antibodies. Several complementary approaches should be employed:
Phosphatase Treatment Controls:
In vitro Phosphorylation Controls:
Generate recombinant CREB protein and create paired samples: non-phosphorylated and in vitro phosphorylated using Protein Kinase A and ATP
Run dilution series (e.g., 100ng, 50ng, 25ng, 12.5ng) of both samples in western blots
Antibody should detect only the phosphorylated form across all concentrations
Pharmacological Stimulation:
Blocking Peptide Competition:
These validation approaches collectively establish specificity for the phosphorylated serine 133 epitope and should be included in experimental design when establishing new protocols.
Optimal antibody dilutions and incubation conditions vary by experimental technique and should be calibrated for each specific application:
These parameters have been empirically determined from multiple studies and provide a starting point for optimization. Researchers should validate these conditions in their specific experimental systems, particularly when working with different tissue types or cell lines.
When encountering weak or absent signals when detecting Phospho-CREB1 (S133), consider these systematic troubleshooting approaches:
Phosphorylation Status Verification:
Ensure samples contain phosphorylated CREB1 by using positive controls
Include freshly prepared samples from cells treated with known CREB1 activators (e.g., forskolin)
Measure timing of phosphorylation (often transient and peaks within 15-30 minutes)
Sample Preparation Optimization:
Add phosphatase inhibitors immediately upon cell lysis (sodium fluoride at 50mM, sodium orthovanadate at 1mM)
Process samples rapidly to minimize dephosphorylation
Avoid multiple freeze-thaw cycles which can reduce phospho-epitope integrity
Consider using direct lysis in hot SDS-PAGE sample buffer to instantly denature phosphatases
Technical Adjustments:
Increase protein loading (50-100μg total protein may be necessary)
For heavily glycosylated samples, consider treating with PNGase F
Optimize transfer conditions for higher molecular weight proteins (increase methanol content)
Try alternative blocking agents (BSA instead of milk for phospho-specific antibodies)
Extend primary antibody incubation (overnight at 4°C)
Signal Enhancement:
Use higher sensitivity ECL substrates
Consider fluorescent secondary antibodies for quantitative analysis
Try biotin-streptavidin amplification systems for ultrasensitive detection
Systematic optimization of each parameter while maintaining appropriate controls will help identify the factors limiting detection in specific experimental systems.
Non-specific bands can confound interpretation when working with Phospho-CREB1 (S133) antibodies. Here's how to identify and address common issues:
Common Non-Specific Bands:
30-35 kDa: May represent partially degraded CREB1
60-65 kDa: Could be dimeric forms or cross-reactivity with related transcription factors
43 kDa: Can be ATF-1, which shares homology with the phosphorylation motif
Multiple bands around 40-50 kDa: May represent different CREB1 splice variants
Validation Strategies:
Compare with recombinant phosphorylated and non-phosphorylated CREB controls
Include lysates from cells where CREB1 is knocked down or knocked out
Pretreat samples with lambda phosphatase to eliminate phospho-specific signals
Use blocking peptide competition to identify specific versus non-specific bands
Technical Approaches:
Increase washing stringency with higher salt concentration or detergent
Optimize blocking conditions (try different blocking reagents)
Test multiple antibody clones that recognize different phospho-epitope regions
Optimize primary antibody concentration (excessive antibody increases non-specific binding)
True Phospho-CREB1 (S133) signal should appear at approximately 43-46 kDa, show appropriate response to phosphorylation/dephosphorylation treatments, and exhibit expected tissue/cellular distribution patterns in control experiments .
The labile nature of protein phosphorylation makes proper sample preparation critical for accurate Phospho-CREB1 (S133) detection:
Timing and Temperature:
Process samples rapidly to minimize dephosphorylation
Maintain samples at 4°C during preparation
Avoid extended processing steps at room temperature
Consider snap-freezing samples in liquid nitrogen if immediate processing is not possible
Phosphatase Inhibition Strategy:
Use broad-spectrum phosphatase inhibitor cocktails containing:
Serine/threonine phosphatase inhibitors (e.g., okadaic acid, calyculin A)
Tyrosine phosphatase inhibitors (e.g., sodium orthovanadate)
General phosphatase inhibitors (e.g., sodium fluoride, β-glycerophosphate)
Add inhibitors to all buffers used in sample preparation
Prepare inhibitor stocks fresh or store appropriately according to manufacturer recommendations
Protein Extraction Method:
For western blotting, direct lysis in hot SDS-PAGE sample buffer provides immediate denaturation
For applications requiring native protein, use NP-40 or RIPA buffer with phosphatase inhibitors
For tissues, rapid homogenization in buffer containing phosphatase inhibitors is essential
Consider commercial phospho-protein stabilizing buffers for challenging applications
Storage Conditions:
Store samples at -80°C in single-use aliquots
Add reducing agents (DTT or β-mercaptoethanol) immediately before use
Minimize freeze-thaw cycles (each cycle can reduce phospho-signal by 5-15%)
Following these guidelines ensures maximal preservation of the phosphorylated S133 epitope for accurate detection and quantification across experimental systems.
Phospho-CREB1 (S133) serves as a convergence point for multiple signaling pathways, making it an excellent tool for studying pathway integration:
Pathway Delineation Studies:
Use selective inhibitors to block specific upstream kinases (PKA, PKC, CaMKII, or ERK1/2)
Measure changes in Phospho-CREB1 (S133) levels following pathway perturbation
Quantify relative contribution of each pathway to CREB1 phosphorylation under specific stimuli
Combine with phospho-specific antibodies for upstream kinases to map signaling cascades
Temporal Dynamics Analysis:
Implement time-course experiments to capture transient versus sustained phosphorylation
Compare kinetics across different stimuli (e.g., growth factors versus cAMP elevating agents)
Correlate Phospho-CREB1 (S133) dynamics with downstream gene expression changes
Use pulse-chase approaches to determine CREB1 phosphorylation turnover rates
Spatial Regulation Assessment:
Employ immunofluorescence to track nuclear translocation of Phospho-CREB1 (S133)
Perform subcellular fractionation combined with western blotting
Use proximity ligation assays to detect interaction with cofactors like CBP/p300
Implement FRET-based reporters to monitor CREB1 phosphorylation in live cells
Stimulus Integration Models:
Apply combinations of stimuli activating different pathways
Quantify synergistic or antagonistic effects on CREB1 phosphorylation
Correlate with physiological or pathological outcomes in cellular models
Use mathematical modeling to predict pathway integration effects
These approaches leverage Phospho-CREB1 (S133) detection to reveal complex signaling relationships that regulate cellular responses to diverse stimuli .
Phospho-CREB1 (S133) has emerged as a significant biomarker in cancer research with multiple applications:
The quantitative assessment of Phospho-CREB1 (S133) levels provides valuable insights into tumor biology and patient stratification, potentially guiding personalized treatment approaches in multiple cancer types .
Advanced multiplexed approaches enable simultaneous assessment of Phospho-CREB1 (S133) alongside other signaling molecules:
Multiplexed Immunofluorescence:
Combine Phospho-CREB1 (S133) detection with markers for:
Upstream kinases (phospho-PKA, phospho-ERK)
Related transcription factors (phospho-ATF1, phospho-CREM)
Downstream targets (c-Fos, BDNF)
Use spectrally distinct fluorophores and multispectral imaging
Implement tyramide signal amplification for low-abundance targets
Apply tissue clearing techniques for 3D visualization in thick specimens
Mass Cytometry Approaches:
Label Phospho-CREB1 (S133) antibodies with rare earth metals
Combine with up to 40 additional markers for comprehensive signaling analysis
Analyze at single-cell resolution to capture population heterogeneity
Apply trajectory analysis to map signaling states during cellular responses
Bead-Based Multiplexing:
Incorporate Phospho-CREB1 (S133) into multiplex bead arrays
Simultaneously quantify multiple phospho-proteins from limited samples
Measure dynamic changes across time points with minimal sample requirements
Correlate CREB1 phosphorylation with activation of parallel pathways
Spatial Transcriptomics Integration:
Combine Phospho-CREB1 (S133) immunodetection with in situ transcriptomics
Correlate spatial patterns of CREB1 activation with target gene expression
Map signaling-transcription relationships in complex tissues
Identify microenvironmental factors influencing CREB1 activation
These multiplexed approaches provide systems-level insights into how Phospho-CREB1 (S133) functions within broader signaling networks, enabling more comprehensive understanding of complex cellular responses .
Proper normalization and quantification are essential for meaningful comparisons of Phospho-CREB1 (S133) across experimental conditions:
Western Blot Quantification:
Always probe for total CREB1 on the same or parallel blots
Calculate phospho-to-total CREB1 ratio to normalize for expression differences
Include loading controls (β-actin, GAPDH) for sample normalization
Use recombinant phosphorylated CREB1 standards for absolute quantification
Employ linear range capture methods and analysis software for densitometry
Immunohistochemistry Quantification:
Utilize optical density (OD) measurements for objective assessment
Capture multiple high-power fields (minimum 3) per tissue section
Use digital image analysis systems (e.g., Leica Qwin Standard V2.6) for consistent measurement
Establish threshold values based on ROC curve analysis (e.g., OD >0.28 for high expression)
Include control tissues on each slide for staining normalization
Flow Cytometry Analysis:
Report median fluorescence intensity rather than percent positive
Use isotype controls and phosphatase-treated samples as negative controls
Calculate stimulation index (treated/untreated) for response quantification
Consider cell cycle phase in analysis (CREB1 phosphorylation varies by cell cycle)
Statistical Considerations:
Perform replicate experiments (minimum triplicate)
Use appropriate statistical tests based on data distribution
Consider hierarchical analysis for nested experimental designs
Report effect sizes alongside p-values for biological relevance assessment
These standardized approaches enhance reproducibility and enable meaningful comparison of results across different experimental systems and research groups .
Interpreting Phospho-CREB1 (S133) data in disease contexts requires careful consideration of multiple factors:
Tissue-Specific Baseline Variation:
Normal Phospho-CREB1 (S133) levels vary significantly between tissues
Always compare diseased samples to matched normal tissue controls
Consider cell type-specific expression within heterogeneous tissues
Use microdissection techniques for analysis of specific cell populations when feasible
Context-Dependent Signaling:
Elevated Phospho-CREB1 (S133) may have opposing effects in different cellular contexts
In neurons: associated with memory formation and neuroprotection
In cancer cells: linked to proliferation and therapy resistance
In inflammatory cells: mediates cytokine production and immune responses
Interpret changes in light of specific disease pathophysiology
Technical Considerations in Clinical Samples:
Pre-analytical variables significantly impact phosphorylation status
Document cold ischemia time in surgical specimens
Consider phosphatase activity in postmortem samples
Standardize fixation protocols for immunohistochemistry
Validate antibodies specifically in the disease tissue of interest
Correlation with Clinical Parameters:
Analyze associations with disease stage, grade, and patient outcomes
Perform multivariate analysis to identify independent prognostic value
Consider Phospho-CREB1 (S133) in the context of established biomarkers
Establish quantitative thresholds for clinical relevance
In clear cell renal cell carcinoma, for example, researchers established that high Phospho-CREB1 (S133) staining (OD >0.28) independently predicted poor outcomes even when controlling for established clinical variables, demonstrating its potential as a clinically relevant biomarker .
Emerging research highlights the role of Phospho-CREB1 (S133) in therapy resistance mechanisms across multiple diseases:
Cancer Therapy Resistance:
Phospho-CREB1 (S133) upregulates anti-apoptotic genes (Bcl-2, Mcl-1) reducing efficacy of cytotoxic therapies
Promotes metabolic adaptations supporting cancer cell survival under therapeutic stress
Mediates transcriptional responses to hypoxia, contributing to resistance in solid tumors
Activation occurs downstream of compensatory signaling pathways that emerge during targeted therapy
Feedback Mechanisms:
Inhibition of specific kinases (e.g., ERK pathway) can lead to compensatory CREB1 phosphorylation via alternate pathways
Dual pathway inhibition strategies may prevent this compensatory activation
Temporal dynamics of Phospho-CREB1 (S133) can reveal adaptive responses to therapeutic intervention
Monitoring changes during treatment can identify emerging resistance mechanisms
Biomarker Applications:
Early changes in Phospho-CREB1 (S133) levels may predict therapeutic response
Sequential tumor biopsies can track pathway adaptation during treatment
Liquid biopsy approaches may enable non-invasive monitoring
Combined analysis with other phospho-proteins provides comprehensive resistance profiling
Therapeutic Vulnerabilities:
CREB1-dependent cells may exhibit synthetic lethality with specific pathway inhibitors
Targeting cofactors required for CREB1 transcriptional activity may overcome resistance
Combination strategies blocking both CREB1 phosphorylation and function show enhanced efficacy
Pulsatile treatment schedules may prevent adaptation and resistance development
Understanding the dynamic role of Phospho-CREB1 (S133) in therapy resistance provides opportunities for developing more effective treatment strategies and implementing rational drug combinations based on molecular mechanisms rather than empirical testing.