The Phospho-MDM2 (S166) Recombinant Monoclonal Antibody is a highly specific research tool designed to detect phosphorylated serine 166 (S166) on the MDM2 protein. MDM2, an E3 ubiquitin ligase, regulates the tumor suppressor protein p53 by promoting its proteasomal degradation . Phosphorylation at S166 enhances MDM2 stability, amplifying its capacity to degrade p53 and drive oncogenic processes . This post-translational modification is critical in cancer progression and therapeutic research.
Phosphorylation at S166 modulates MDM2’s role in the p53 pathway:
Enhanced Stability: S166 phosphorylation increases MDM2’s interaction with p300, promoting p53 ubiquitination and degradation .
Disrupted ARF Binding: Phosphorylated MDM2 binds p19ARF poorly, further reducing p53 stabilization .
Therapeutic Implications: Inhibiting MDM2 phosphorylation could restore p53 function, offering cancer therapeutic potential .
p90RSK-MDM2 Interaction: p90RSK phosphorylates MDM2 at S166, stabilizing it and downregulating pro-apoptotic proteins like Bax while upregulating anti-apoptotic Bcl-2 .
HIV-1 Tat Co-option: HIV-1 Tat stabilizes MDM2 via S166 phosphorylation (Akt-mediated), enhancing viral replication .
Dual mRNA Binding: MDM2’s phosphorylation status (e.g., S166) regulates its interaction with E2F1 and p53 mRNAs, influencing cell cycle and apoptosis .
MDM2 is primarily localized in the nucleus, nucleoplasm, and cytoplasm, with phosphorylation at S166 influencing its subcellular distribution . In cancer cells, S166 phosphorylation correlates with:
The phospho-MDM2 (S166) recombinant monoclonal antibody is produced through an in vitro expression system. DNA sequences encoding MDM2 antibodies from immunoreactive rabbits are cloned. The immunogen used is a synthetic peptide derived from the human MDM2 protein, specifically phosphorylated at S166. These cloned genes are then inserted into plasmid vectors, which are subsequently transfected into host cells for antibody expression. Following expression, the phospho-MDM2 (S166) recombinant monoclonal antibody undergoes affinity chromatography purification. It is rigorously tested for functionality in ELISA, IHC, IF, and FC applications, confirming its reactivity with the human MDM2 protein phosphorylated at S166.
MDM2 acts as a critical regulator of the tumor suppressor protein p53. Phosphorylation at S166 diminishes MDM2's capacity to target p53 for degradation, allowing p53 to accumulate and perform its functions in response to cellular stress and DNA damage.
MDM2 (Mouse Double Minute 2) is a critical E3 ubiquitin ligase that functions as a key negative regulator of the tumor suppressor protein p53. Phosphorylation at serine 166 (S166) is particularly significant because it directly affects MDM2's regulatory activity on p53. This post-translational modification alters MDM2's ability to target p53 for degradation, thereby modulating cellular responses to stress and DNA damage. Phosphorylation at S166 specifically increases MDM2's interaction with p300, which enhances MDM2-mediated ubiquitination and degradation of p53 . Additionally, S166 phosphorylation blocks MDM2's binding to p19ARF, further promoting p53 degradation . This site is frequently phosphorylated in cancer cells as part of the mechanisms that suppress p53 tumor suppressor function.
The phosphorylation of MDM2 occurs at multiple sites, with each serving distinct regulatory functions:
Unlike phosphorylation events mediated by ATM and ATR (which typically inhibit MDM2 activity following DNA damage), S166 phosphorylation promotes MDM2's negative regulation of p53. Recent research indicates that di-phosphorylation of MDM2 at S166 and S186 is essential for high-affinity binding to 14-3-3 proteins, forming a binary complex where one MDM2 di-phosphorylated peptide binds to a dimer of 14-3-3σ .
Phospho-MDM2 (S166) antibodies have been validated for multiple experimental applications, with specific recommendations depending on the antibody format (monoclonal, polyclonal, or recombinant). Based on the collective data from multiple vendors:
The antibody typically recognizes a protein at 90-100 kDa, which is higher than the calculated molecular weight (55 kDa) due to post-translational modifications .
To maintain phosphorylation status and achieve optimal detection of phospho-MDM2 (S166):
Cell lysis protocol:
Harvest cells in ice-cold phosphate-buffered saline (PBS)
Lyse cells in buffer containing phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate, β-glycerophosphate)
Include protease inhibitors to prevent protein degradation
Keep samples on ice throughout processing
Tissue preparation for IHC:
Rapid fixation in 10% neutral buffered formalin (24 hours maximum)
Careful antigen retrieval (typically heat-mediated in citrate buffer pH 6.0)
Include phosphatase inhibitors in wash buffers
Consider using tyramide signal amplification for low-abundance phosphorylated proteins
Sample handling:
Positive controls such as extracts from hydroxyurea-treated 293 cells or HT-29 cells have been validated for phospho-MDM2 (S166) detection .
Multiple bands in Western blot experiments using Phospho-MDM2 (S166) antibodies may occur for several reasons:
Alternative splicing: MDM2 is known to have more than 40 different alternatively spliced transcript variants isolated from both tumor and normal tissues .
Post-translational modifications: Besides phosphorylation, MDM2 undergoes multiple modifications including ubiquitination, sumoylation, and acetylation that can affect mobility.
Degradation products: MDM2 is subject to proteolytic processing during sample preparation.
Cross-reactivity: Some antibodies may detect related proteins with similar phosphorylation motifs.
To address this issue:
Include appropriate controls (phosphatase-treated samples)
Use freshly prepared samples with complete protease/phosphatase inhibitors
Optimize blocking conditions to reduce non-specific binding
Consider using gradient gels to better separate closely migrating bands
Verify with mass spectrometry if absolute confirmation is required
Verifying antibody specificity is crucial for reliable results. Multiple approaches can be used:
Phosphatase treatment:
Treat one sample set with lambda phosphatase
The phospho-specific signal should disappear in treated samples
Peptide competition:
Kinase manipulation:
Treat cells with specific inhibitors of kinases that phosphorylate S166 (e.g., Akt inhibitors)
Stimulate with agents that increase phosphorylation (e.g., growth factors)
Observe corresponding changes in signal intensity
Genetic approaches:
Use MDM2 knockout/knockdown cell lines as negative controls
Generate S166A phospho-dead mutant to verify specificity
Evidence of verification can be seen in published studies where blocking peptides eliminated the specific signal in human breast carcinoma tissue samples .
The interplay between MDM2 phosphorylation at S166 and other post-translational modifications creates a complex regulatory network:
Synergistic phosphorylation:
S166 and S186 phosphorylation together significantly enhance 14-3-3 protein binding
According to recent biophysical and structural characterization, di-phosphorylation at S166 and S186 is essential for high affinity 14-3-3 binding
The binary complex formed involves one MDM2 di-phosphorylated peptide bound to a dimer of 14-3-3σ
Antagonistic modifications:
Sequential modification:
S166 phosphorylation may influence subsequent modifications like ubiquitination
This can alter protein stability, localization, and function
Recent research has revealed an unusual "rocking" binding mechanism involving both phosphorylation sites (S166 and S186) in MDM2-14-3-3 interactions , suggesting a novel regulatory mechanism that could be exploited therapeutically.
Recent studies have employed fluorescence polarization (FP), isothermal titration calorimetry (ITC), native mass spectrometry (MS), protein X-ray crystallography, and NMR to characterize the binding between phosphorylated MDM2 peptides and 14-3-3 proteins . These techniques revealed that the pS166/pS186 MDM2 peptide binds to 14-3-3σ with a 2:1 stoichiometry, challenging previous assumptions about this interaction.
When analyzing changes in MDM2 S166 phosphorylation in cancer cell lines, consider the following interpretive framework:
Pathway activation:
Increased S166 phosphorylation typically indicates activation of upstream pathways (Akt/PI3K)
This often correlates with increased MDM2 activity and suppressed p53 function
Phosphorylation at S166 reduces MDM2's ability to target p53 for degradation, allowing p53 to accumulate and respond to cellular stress and DNA damage
Treatment response:
Reduction in S166 phosphorylation following drug treatment may indicate successful pathway inhibition
Persistent phosphorylation despite treatment could suggest resistance mechanisms
Monitor both total MDM2 and phospho-MDM2 levels to distinguish between changes in phosphorylation versus total protein expression
Correlation with clinical outcomes:
High phospho-MDM2 (S166) levels have been associated with poor prognosis in certain cancers
Compare phosphorylation status with patient survival data when available
Context-dependent interpretation:
p53 status of the cell line must be considered (wild-type vs. mutant)
Other components of the pathway (Akt activity, PTEN status) affect interpretation
Cell-type specific effects may occur
When quantifying Western blot data, normalize phospho-MDM2 (S166) signal to total MDM2 to account for variations in total protein levels, and further normalize to appropriate loading controls.
For accurate quantification of phospho-MDM2 (S166) levels:
Western blot quantification:
Use digital imaging software (ImageJ, Image Lab, etc.)
Calculate the ratio of phospho-MDM2 to total MDM2
Always include both phosphorylated and total protein controls
Use internal lane normalization to loading controls
Immunohistochemistry scoring:
Employ H-score method (staining intensity × percentage of positive cells)
Alternatively, use Allred scoring system combining intensity and proportion
Consider automated image analysis for more objective quantification
Compare nuclear versus cytoplasmic staining (phosphorylation may affect localization)
Flow cytometry analysis:
Calculate mean fluorescence intensity (MFI)
Use fold change relative to control samples
Consider dual staining with total MDM2 for ratio calculations
ELISA quantification:
Generate standard curves using recombinant phosphorylated protein
Ensure linearity in the range of expected concentrations
Account for matrix effects by using appropriate diluents
For research involving clinical samples, standardized scoring systems should be established before analysis to ensure consistency across evaluators and studies.