Acetyl-TP53 (K382) Antibody

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Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide.
Form
Liquid
Lead Time
Generally, we can ship the products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery time.
Synonyms
Antigen NY-CO-13 antibody; BCC7 antibody; Cellular tumor antigen p53 antibody; FLJ92943 antibody; LFS1 antibody; Mutant tumor protein 53 antibody; p53 antibody; p53 tumor suppressor antibody; P53_HUMAN antibody; Phosphoprotein p53 antibody; Tp53 antibody; Transformation related protein 53 antibody; TRP53 antibody; tumor antigen p55 antibody; Tumor protein 53 antibody; Tumor protein p53 antibody; Tumor suppressor p53 antibody
Target Names
Uniprot No.

Target Background

Function
TP53, also known as tumor protein p53, acts as a tumor suppressor in various tumor types. It induces either growth arrest or apoptosis depending on the physiological conditions and cell type. TP53 plays a crucial role in cell cycle regulation as a trans-activator that negatively regulates cell division by controlling a set of genes essential for this process. One of the activated genes is an inhibitor of cyclin-dependent kinases. Apoptosis induction appears to be mediated by either stimulation of BAX and FAS antigen expression, or by repression of Bcl-2 expression. Its pro-apoptotic activity is activated through its interaction with PPP1R13B/ASPP1 or TP53BP2/ASPP2. However, this activity is inhibited when the interaction with PPP1R13B/ASPP1 or TP53BP2/ASPP2 is displaced by PPP1R13L/iASPP. In collaboration with mitochondrial PPIF, TP53 participates in activating oxidative stress-induced necrosis; this function is largely independent of transcription. It induces the transcription of long intergenic non-coding RNA p21 (lincRNA-p21) and lincRNA-Mkln1. LincRNA-p21 is involved in TP53-dependent transcriptional repression leading to apoptosis and seems to have an effect on cell-cycle regulation. TP53 is implicated in Notch signaling cross-over. It prevents CDK7 kinase activity when associated with CAK complex in response to DNA damage, thereby halting cell cycle progression. Isoform 2 enhances the transactivation activity of isoform 1 from some, but not all, TP53-inducible promoters. Isoform 4 suppresses transactivation activity and impairs growth suppression mediated by isoform 1. Isoform 7 inhibits isoform 1-mediated apoptosis. TP53 regulates the circadian clock by repressing CLOCK-ARNTL/BMAL1-mediated transcriptional activation of PER2.
Gene References Into Functions
  1. This study summarizes the different functions of p53 in adipocyte development and adipose tissue homeostasis. Additionally, it explores the manipulation of p53 levels in adipose tissue depots and their impact on systemic energy metabolism in the context of insulin resistance and obesity. [review] PMID: 30181511
  2. This research indicates that a USP15-dependent lysosomal pathway controls p53-R175H turnover in ovarian cancer cells. PMID: 29593334
  3. Results suggest that the underlying mechanisms by which etoposide and ellipticine regulate CYP1A1 expression may differ and might not solely be linked to p53 activation. PMID: 29471073
  4. This study investigated the association of tumor protein p53 and drug metabolizing enzyme polymorphisms with clinical outcome in patients with advanced non-small cell lung cancer. PMID: 28425245
  5. POH1 knockdown induced cell apoptosis through increased expression of p53 and Bim. PMID: 29573636
  6. This research reveals a previously unrecognized effect of chronic high fat diet on beta-cells, where continued DNA damage due to persistent oxidative stress results in p53 activation and subsequent inhibition of mRNA translation. PMID: 28630491
  7. Diffuse large B cell lymphoma lacking CD19 or PAX5 expression were more likely to have mutant TP53. PMID: 28484276
  8. This study suggests that proliferation potential-related protein promotes esophageal cancer cell proliferation and migration, and suppresses apoptosis by mediating the expression of p53 and IL-17. PMID: 30223275
  9. Infection with HIV-1 and subsequent HIV-1 reverse transcription are inhibited in HCT116 p53(+/+) cells compared to HCT116 p53(-/-) cells. Tumor suppressor gene p53 expression is upregulated in non-cycling cells. The restrictions of HIV by p53 are associated with the suppression of ribonucleotide reductase R2 subunit expression and phosphorylation of SAMHD1 protein. PMID: 29587790
  10. Studies have demonstrated that MDM2 and MDMX are targetable vulnerabilities within TP53-wild-type T-cell lymphomas. PMID: 29789628
  11. A significant increase in the expression of p53 and Bax was observed in cells treated with alpha-spinasterol, while cdk4/6 were significantly down-regulated upon exposure to alpha-spinasterol. PMID: 29143969
  12. There was a significant correlation between telomere dysfunction indices, p53, oxidative stress indices, and malignant stages of GI cancer patients. PMID: 29730783
  13. PGEA-AN modulates the P53 system, which further leads to the death of neuroblastoma cells with no effect on the renal system in vivo, making it a potential future prospect for the development of an anticancer moiety against neuroblastoma. PMID: 29644528
  14. These data indicate that activation of autophagy reduces expression of STMN1 and p53, and the migration and invasion of cancer cells contribute to the anti-cancer effects of Halofuginone. These findings may provide new insights into breast cancer prevention and therapy. PMID: 29231257
  15. miR-150 suppresses cigarette smoke-induced lung inflammation and airway epithelial cell apoptosis, which is causally linked to repression of p53 expression and NF-kappaB activity. PMID: 29205062
  16. Tumors harboring TP53 mutations, which can impair epithelial function, have a unique bacterial consortium that is higher in relative abundance in smoking-associated tumors. PMID: 30143034
  17. Crosstalk among p53, lipid metabolism, insulin resistance, inflammation, and oxidative stress plays a role in non-alcoholic fatty liver disease. [review] PMID: 30473026
  18. Ubiquitin-conjugating enzyme E2S (UBE2S) enhanced the ubiquitination of p53 protein to facilitate its degradation in hepatocellular carcinoma (HCC) cells. PMID: 29928880
  19. p53 knockout compensates for osteopenia in murine Mysm1 deficiency. PMID: 29203593
  20. SIRT1 had a pivotally protective role in the regulation of ADSCs aging and apoptosis induced by H2O2. PMID: 29803744
  21. 133p53 promotes tumor invasion via IL-6 by activation of the JAK-STAT and RhoA-ROCK pathways. PMID: 29343721
  22. Mutant TP53 G245C and R273H can lead to more aggressive phenotypes and enhance cancer cell malignancy. PMID: 30126368
  23. PD-L1, Ki-67, and p53 staining individually had significant prognostic value for patients with stage II and III colorectal cancer. PMID: 28782638
  24. This study of patients with ccRCC, pooled analysis, and multivariable modeling demonstrated that three recurrently mutated genes, BAP1, SETD2, and TP53, have statistically significant associations with poor clinical outcomes. Notably, mutations of TP53 and SETD2 were associated with decreased CSS and RFS, respectively. PMID: 28753773
  25. This research revealed that the Wnt/beta-catenin signaling pathway and its major downstream target, c-Myc, increased the miR552 levels and miR552 directly targets p53 tumor suppressor. miR552 may serve as an important link between functional loss of APC, leading to abnormal Wnt signals, and the absence of p53 protein in colorectal cancer. PMID: 30066856
  26. High levels of glucose lead to endothelial dysfunction via TAF1-mediated p53 Thr55 phosphorylation and subsequent GPX1 inactivation. PMID: 28673515
  27. Although tumor protein p53 (p53) does not directly control the luminal fate, its loss facilitates the acquisition of mammary stem cell (MaSC)-like properties by luminal cells and predisposes them to the development of mammary tumors with loss of luminal identity. PMID: 28194015
  28. Fifty-two percent of patients diagnosed with glioma/glioblastoma had a positive TP53 mutation. PMID: 29454261
  29. The expression of Ser216pCdc25C was also increased in the combined group, indicating that irinotecan likely radiosensitized the p53-mutant HT29 and SW620 cells through the ATM/Chk/Cdc25C/Cdc2 pathway. PMID: 30085332
  30. In the former, p53 binds to the CDH1 (encoding E-cadherin) locus to antagonize EZH2-mediated H3K27 trimethylation (H3K27me3) to maintain high levels of acetylation of H3K27 (H3K27ac). PMID: 29371630
  31. Among the hits, miR-596 was identified as a regulator of p53. Overexpression of miR-596 significantly increased p53 at the protein level, thereby inducing apoptosis. PMID: 28732184
  32. Apoptosis pathways are impaired in fibroblasts from patients with SSc, leading to chronic fibrosis. However, the PUMA/p53 pathway may not be involved in the dysfunction of apoptosis mechanisms in fibroblasts of patients with SSc. PMID: 28905491
  33. Low TP53 expression is associated with drug resistance in colorectal cancer. PMID: 30106452
  34. The activation of p38 in response to low doses of ultraviolet radiation was postulated to be protective for p53-inactive cells. Therefore, MCPIP1 may favor the survival of p53-defective HaCaT cells by sustaining the activation of p38. PMID: 29103983
  35. TP53 missense mutations are associated with castration-resistant prostate cancer. PMID: 29302046
  36. P53 degradation is mediated by COP1 in breast cancer. PMID: 29516369
  37. Combined inactivation of the XRCC4 non-homologous end-joining (NHEJ) DNA repair gene and p53 efficiently induces brain tumors with hallmark characteristics of human glioblastoma. PMID: 28094268
  38. This research establishes a direct link between Y14 and p53 expression, suggesting a function for Y14 in DNA damage signaling. PMID: 28361991
  39. TP53 Mutation is associated with Mouth Neoplasms. PMID: 30049200
  40. Cryo-Electron Microscopy studies on p53-bound RNA Polymerase II (Pol II) reveal that p53 structurally regulates Pol II to affect its DNA binding and elongation, providing new insights into p53-mediated transcriptional regulation. PMID: 28795863
  41. Increased nuclear p53 phosphorylation and PGC-1alpha protein content immediately following SIE but not CE suggests these may represent important early molecular events in the exercise-induced response to exercise. PMID: 28281651
  42. The E6/E7-p53-POU2F1-CTHRC1 axis promotes cervical cancer cell invasion and metastasis. PMID: 28303973
  43. Accumulated mutant-p53 protein suppresses the expression of SLC7A11, a component of the cystine/glutamate antiporter, system xC(-), through binding to the master antioxidant transcription factor NRF2. PMID: 28348409
  44. Consistently, forced expression of p53 significantly stimulated ACER2 transcription. Notably, p53-mediated autophagy and apoptosis were markedly enhanced by ACER2. Depletion of the essential autophagy gene ATG5 revealed that ACER2-induced autophagy facilitates its effect on apoptosis. PMID: 28294157
  45. Results indicate that LGASC of the breast is a low-grade triple-negative breast cancer that harbors a basal-like phenotype with no androgen receptor expression, and shows a high rate of PIK3CA mutations but no TP53 mutations. PMID: 29537649
  46. This study shows an inhibitory effect of wild-type P53 gene transfer on graft coronary artery disease in a rat model. PMID: 29425775
  47. Our findings suggest that TP53 c.215G>C, p. (Arg72Pro) polymorphism may be considered as a genetic marker for predisposition to breast cancer in the Moroccan population. PMID: 29949804
  48. Higher levels of the p53 isoform, p53beta, predict better prognosis in patients with renal cell carcinoma through enhancing apoptosis in tumors. PMID: 29346503
  49. TP53 mutations are associated with colorectal liver metastases. PMID: 29937183
  50. High expression of TP53 is associated with oral epithelial dysplasia and oral squamous cell carcinoma. PMID: 29893337

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Database Links

HGNC: 11998

OMIM: 133239

KEGG: hsa:7157

STRING: 9606.ENSP00000269305

UniGene: Hs.437460

Involvement In Disease
Esophageal cancer (ESCR); Li-Fraumeni syndrome (LFS); Squamous cell carcinoma of the head and neck (HNSCC); Lung cancer (LNCR); Papilloma of choroid plexus (CPP); Adrenocortical carcinoma (ADCC); Basal cell carcinoma 7 (BCC7)
Protein Families
P53 family
Subcellular Location
Cytoplasm. Nucleus. Nucleus, PML body. Endoplasmic reticulum. Mitochondrion matrix. Cytoplasm, cytoskeleton, microtubule organizing center, centrosome.; [Isoform 1]: Nucleus. Cytoplasm. Note=Predominantly nuclear but localizes to the cytoplasm when expressed with isoform 4.; [Isoform 2]: Nucleus. Cytoplasm. Note=Localized mainly in the nucleus with minor staining in the cytoplasm.; [Isoform 3]: Nucleus. Cytoplasm. Note=Localized in the nucleus in most cells but found in the cytoplasm in some cells.; [Isoform 4]: Nucleus. Cytoplasm. Note=Predominantly nuclear but translocates to the cytoplasm following cell stress.; [Isoform 7]: Nucleus. Cytoplasm. Note=Localized mainly in the nucleus with minor staining in the cytoplasm.; [Isoform 8]: Nucleus. Cytoplasm. Note=Localized in both nucleus and cytoplasm in most cells. In some cells, forms foci in the nucleus that are different from nucleoli.; [Isoform 9]: Cytoplasm.
Tissue Specificity
Ubiquitous. Isoforms are expressed in a wide range of normal tissues but in a tissue-dependent manner. Isoform 2 is expressed in most normal tissues but is not detected in brain, lung, prostate, muscle, fetal brain, spinal cord and fetal liver. Isoform 3

Q&A

What is the functional significance of p53 acetylation at lysine 382?

p53 acetylation at lysine 382 (K382) represents a critical post-translational modification that regulates p53's tumor suppressor functions. This specific acetylation enhances p53's DNA binding affinity, stability, and transcriptional activity. Research demonstrates that K382 acetylation occurs following cellular stress, particularly DNA damage, and contributes to cell fate decisions by modulating the expression of genes involved in cell cycle arrest, DNA repair, and apoptosis .

How does Acetyl-TP53 (K382) Antibody differ from other p53 antibodies?

Acetyl-TP53 (K382) Antibody specifically recognizes p53 protein only when acetylated at lysine 382, unlike general p53 antibodies that detect total p53 protein regardless of post-translational modifications. This specificity allows researchers to investigate the acetylation status of p53 at a particular residue, providing insights into p53 activation under various experimental conditions .

The site-specific nature of this antibody enables the differential analysis of p53 regulatory mechanisms, as different lysine residues on p53 (K320, K373, K381, K382) can be acetylated by distinct acetyltransferases and may trigger different downstream effects . Using Acetyl-TP53 (K382) Antibody in conjunction with antibodies targeting other modifications (phosphorylation at S15, S20, or acetylation at other lysine residues) provides a comprehensive view of p53's activation state and potential functional outcomes in response to various cellular stresses.

What are the primary applications for Acetyl-TP53 (K382) Antibody in cancer research?

Acetyl-TP53 (K382) Antibody serves as a valuable tool in cancer research across multiple experimental approaches:

  • Detection of p53 activation status: The antibody allows researchers to monitor p53 acetylation at K382 following treatment with DNA-damaging agents, histone deacetylase inhibitors (like depsipeptide), or other anticancer compounds, providing insights into the mechanisms of drug action .

  • Immunohistochemistry analysis: As demonstrated in lung cancer tissue studies, the antibody can be used to assess p53 acetylation levels in patient samples, potentially serving as a biomarker for tumor classification or prognosis .

  • Mechanistic studies: The antibody facilitates investigation of p53 regulation through acetylation/deacetylation processes and subsequent transcriptional activities that influence cancer cell survival, proliferation, and response to therapy .

  • Drug development research: By measuring changes in p53 K382 acetylation, researchers can evaluate the efficacy of drugs targeting histone deacetylases (HDACs) or histone acetyltransferases (HATs) that modify p53 function .

These applications make Acetyl-TP53 (K382) Antibody an essential reagent for understanding p53 biology in cancer contexts and developing targeted therapeutic strategies.

What are the optimal conditions for using Acetyl-TP53 (K382) Antibody in Western blotting?

For optimal Western blotting results with Acetyl-TP53 (K382) Antibody, researchers should adhere to the following protocol:

Sample Preparation:

  • Induce p53 acetylation in experimental samples using appropriate stimuli (e.g., DNA-damaging agents like doxorubicin, HDAC inhibitors like trichostatin A)

  • Lyse cells in a buffer containing protease inhibitors and deacetylase inhibitors to preserve acetylation status

  • Determine protein concentration and load 20-50 μg of total protein per lane

Western Blotting Protocol:

  • Separate proteins on 10% SDS-PAGE gels

  • Transfer to PVDF membrane (preferred over nitrocellulose for acetylated proteins)

  • Block with 5% non-fat milk or 5% BSA in TBST for 1 hour at room temperature

  • Incubate with Acetyl-TP53 (K382) Antibody at recommended dilution (typically 1:1000) overnight at 4°C

  • Wash 3-5 times with TBST

  • Incubate with appropriate HRP-conjugated secondary antibody

  • Develop using enhanced chemiluminescence

Controls and Validation:

  • Positive control: Lysates from cells treated with doxorubicin and trichostatin A

  • Negative control: Untreated cell lysates or lysates treated with deacetylase enzymes

  • Loading control: GAPDH or other housekeeping proteins

The acetylated p53 (K382) band should be detected at approximately 53 kDa. For quantitative analysis, normalization to total p53 levels is recommended to distinguish between changes in acetylation versus changes in total p53 expression.

How can I optimize immunofluorescence staining protocols using Acetyl-TP53 (K382) Antibody?

Successful immunofluorescence staining with Acetyl-TP53 (K382) Antibody requires careful attention to fixation, permeabilization, and antibody incubation conditions:

Protocol Optimization:

  • Fixation and Permeabilization:

    • Fix cells with 4% paraformaldehyde for 15 minutes at room temperature

    • Permeabilize with 0.2% Triton X-100 in PBS for 10 minutes

    • For enhanced nuclear antigen detection, consider methanol fixation (-20°C for 10 minutes)

  • Blocking and Antibody Incubation:

    • Block with 5% normal serum (from the species of secondary antibody origin) for 1 hour

    • Incubate with Acetyl-TP53 (K382) Antibody at 3-5 μg/mL for 3 hours at room temperature or overnight at 4°C

    • Use fluorophore-conjugated secondary antibody (e.g., NorthernLights 557-conjugated Anti-Rabbit/Mouse IgG)

    • Counterstain nuclei with DAPI

  • Signal Enhancement Strategies:

    • Consider tyramide signal amplification for low-abundance targets

    • Use antigen retrieval methods if working with fixed tissues

    • Test multiple antibody concentrations to determine optimal signal-to-noise ratio

Validation Approaches:

  • Include positive controls (cells treated with HDAC inhibitors like trichostatin A plus DNA-damaging agents like doxorubicin)

  • Include negative controls (untreated cells or p53-null cells)

  • Use siRNA knockdown of p53 or HATs to confirm specificity

Acetylated p53 (K382) typically shows nuclear localization with punctate staining pattern. When optimized, this staining can reveal important information about p53 activation status and subcellular distribution in response to various experimental conditions or in pathological samples.

What are the best induction conditions to study p53 acetylation at K382?

To effectively study p53 acetylation at K382, researchers should consider the following induction conditions that have been experimentally validated:

Induction Methods Table:

Inducing AgentConcentrationTreatment DurationMechanismExpected K382 Acetylation
Doxorubicin + Trichostatin A0.5-1 μM + 1 μM6-24 hoursDNA damage + HDAC inhibitionStrong (>5-fold increase)
Depsipeptide (HDAC inhibitor)5-10 ng/mL24 hoursHDAC inhibitionModerate (3-5 fold increase)
UV irradiation10-50 J/m²6-12 hours post-exposureDNA damage responseModerate (varies by cell type)
Nutlin-3a5-10 μM16-24 hoursMDM2 inhibitionMild to moderate increase
Etoposide10-20 μM16-24 hoursTopoisomerase II inhibitionModerate increase

Cell Type Considerations:

  • HCT116 and other colorectal cancer cells often show robust p53 acetylation responses

  • HeLa cells require combined treatment (e.g., doxorubicin + TSA) for optimal results

  • Neuronal cells exhibit distinct acetylation patterns and functional outcomes compared to other cell types

  • Primary cells may require lower drug concentrations to avoid toxicity while still inducing acetylation

Monitoring Kinetics:
For comprehensive analysis, researchers should perform time-course experiments to capture both the rise and potential decline of K382 acetylation following treatment. Peak acetylation typically occurs between 6-24 hours post-treatment, depending on the inducing agent and cell type.

How does p53 acetylation at K382 functionally interact with other post-translational modifications of p53?

p53 acetylation at K382 operates within a complex network of post-translational modifications (PTMs) that collectively determine p53's function. Understanding these interactions is crucial for interpreting experimental results:

Key PTM Interactions with K382 Acetylation:

When investigating K382 acetylation, researchers should consider employing a panel of modification-specific antibodies to capture the full PTM landscape of p53, as the functional outcome depends on the combination of modifications rather than any single PTM in isolation.

What are the methodological approaches to study the relationship between K382 acetylation and p53 DNA binding activity?

Investigating the relationship between p53 K382 acetylation and DNA binding activity requires specialized techniques that assess both the modification status and functional outcomes:

Chromatin Immunoprecipitation (ChIP) Approaches:

  • Standard ChIP Protocol:

    • Use Acetyl-TP53 (K382) Antibody to immunoprecipitate acetylated p53 bound to chromatin

    • Analyze immunoprecipitated DNA by qPCR targeting p53 response elements in genes of interest (p21, PUMA, BAX, MDM2)

    • Compare binding profiles of acetylated p53 versus total p53 to identify preferential binding sites

  • Sequential ChIP (Re-ChIP):

    • First immunoprecipitate with total p53 antibody, then re-immunoprecipitate with Acetyl-TP53 (K382) Antibody

    • This approach reveals what proportion of p53 bound to specific promoters is acetylated at K382

    • Particularly useful for establishing correlation between acetylation status and target gene selectivity

  • ChIP-seq Analysis:

    • Combine ChIP with next-generation sequencing to generate genome-wide binding profiles

    • Compare binding patterns of acetylated versus non-acetylated p53

    • Bioinformatic analysis can reveal motif preferences and co-factor requirements

In Vitro DNA Binding Assays:

  • Electrophoretic Mobility Shift Assay (EMSA):

    • Prepare nuclear extracts from cells with induced p53 K382 acetylation

    • Incubate with labeled oligonucleotides containing p53 binding sites

    • Include Acetyl-TP53 (K382) Antibody for supershift assay to confirm identity

    • Compare binding affinity of acetylated versus non-acetylated p53

  • DNA-Protein Interaction ELISA:

    • Immobilize p53 response element oligonucleotides on plates

    • Add nuclear extracts containing p53

    • Detect bound p53 using either total p53 or Acetyl-TP53 (K382) Antibody

    • Quantify differences in binding efficiency

These methodological approaches, when used in combination, provide robust evidence for how K382 acetylation affects p53's ability to recognize and bind specific DNA sequences, ultimately influencing its transcriptional program and cellular function.

How can I distinguish between the effects of different acetyltransferases on p53 K382 acetylation in experimental systems?

Distinguishing between the contributions of different acetyltransferases to p53 K382 acetylation requires systematic approaches combining genetic, pharmacological, and biochemical methods:

Experimental Strategies:

  • Genetic Manipulation Approaches:

    • siRNA or shRNA-mediated knockdown of specific acetyltransferases (p300, CBP, PCAF)

    • CRISPR-Cas9 knockout cell lines for each acetyltransferase

    • Compare K382 acetylation levels by Western blotting or immunofluorescence after stress induction

    • Rescue experiments with wild-type versus catalytically inactive acetyltransferase constructs

  • Pharmacological Inhibition:

    • Utilize selective inhibitors targeting different acetyltransferases:

      • C646 (p300/CBP inhibitor)

      • Garcinol (p300 and PCAF inhibitor)

      • Curcumin (p300/CBP inhibitor)

    • Determine dose-dependent effects on K382 acetylation

    • Compare temporal dynamics of inhibition with different compounds

  • Co-immunoprecipitation Studies:

    • Immunoprecipitate p53 and blot for associated acetyltransferases

    • Reverse approach: immunoprecipitate acetyltransferases and blot for p53

    • Assess changes in interactions following stress induction

    • Compare wild-type p53 with lysine-to-arginine mutants (K382R) to confirm specificity

Comparative Analysis Table:

AcetyltransferasePrimary Target SitesDetection MethodKnown Activating StimuliFunctional Outcome
p300/CBPK382, K373Co-IP, ChIPDNA damage, HDAC inhibitorsPromotes p21 expression and cell cycle arrest
PCAFK320 (not K382)Co-IP, ChIPUV radiationPromotes cell survival programs
Tip60K120 (not K382)Co-IPDNA damagePromotes apoptotic gene expression

Based on experimental evidence, p300 appears to be the primary acetyltransferase responsible for K382 acetylation, particularly following treatment with HDAC inhibitors like depsipeptide . The recruitment of p300, but not CBP or PCAF, to the p53 C-terminus correlates with K382 acetylation and subsequent p21 promoter activation.

What are common issues when detecting acetylated p53 at K382 in experimental samples?

Researchers frequently encounter several technical challenges when detecting acetylated p53 at K382. Understanding these issues and implementing appropriate solutions is crucial for successful experiments:

Challenge 1: Low Signal Intensity

  • Causes: Insufficient p53 stabilization, rapid deacetylation, low antibody sensitivity

  • Solutions:

    • Combine DNA damage agents with HDAC inhibitors to maximize acetylation signal

    • Include deacetylase inhibitors (sodium butyrate, trichostatin A) in lysis buffers

    • Optimize antibody concentration and incubation conditions

    • Consider signal amplification techniques for immunohistochemistry/immunofluorescence

Challenge 2: High Background or Non-specific Signals

  • Causes: Cross-reactivity with other acetylated proteins, insufficient blocking, high antibody concentration

  • Solutions:

    • Validate antibody specificity using p53-null cells or K382R mutant p53 as negative controls

    • Optimize blocking conditions (try BSA instead of milk for phospho-specific antibodies)

    • Include competitors to reduce non-specific binding

    • Increase washing stringency and duration

Challenge 3: Inconsistent Results Between Experiments

  • Causes: Variable p53 induction, cell density differences, inconsistent treatment conditions

  • Solutions:

    • Standardize cell culture conditions (density, passage number)

    • Use internal controls for normalization

    • Develop consistent lysate preparation protocols

    • Consider using positive control lysates across experiments

Challenge 4: Discrepancies Between Detection Methods

  • Causes: Different sensitivity thresholds, epitope accessibility issues

  • Solutions:

    • Validate findings using multiple detection methods (Western blot, immunoprecipitation, immunofluorescence)

    • Optimize fixation and permeabilization for immunofluorescence to improve nuclear antigen detection

    • Consider native versus denaturing conditions for different applications

Maintaining careful records of experimental conditions and systematically testing variables will help establish reliable protocols for detecting acetylated p53 at K382 across different experimental systems.

How can I validate the specificity of Acetyl-TP53 (K382) Antibody in my experimental system?

Validating the specificity of Acetyl-TP53 (K382) Antibody is essential for ensuring reliable experimental results. The following comprehensive validation strategies should be implemented:

Genetic Validation Approaches:

  • Negative Control Systems:

    • Test antibody in p53-null cell lines (H1299, Saos-2)

    • Compare signal in wild-type versus p53 knockdown/knockout cells

    • Express p53 mutant with lysine-to-arginine substitution at position 382 (K382R) that cannot be acetylated

  • Modulation of Acetylation Status:

    • Compare antibody signal in cells treated with and without HDAC inhibitors

    • Express dominant-negative HDAC constructs to enhance acetylation

    • Treat lysates with recombinant deacetylases to remove acetylation

Biochemical Validation Methods:

  • Peptide Competition Assay:

    • Pre-incubate antibody with acetylated K382 peptide before immunoblotting/immunostaining

    • Signal should be diminished or eliminated if antibody is specific

    • Non-acetylated K382 peptide should not compete for binding

  • Immunoprecipitation-Mass Spectrometry:

    • Immunoprecipitate with Acetyl-TP53 (K382) Antibody

    • Analyze by mass spectrometry to confirm capture of p53 with acetylation at K382

    • Check for absence of non-specific proteins or non-acetylated p53

  • Dual Antibody Approaches:

    • Sequential detection with total p53 antibody followed by Acetyl-TP53 (K382) Antibody

    • Co-localization studies in immunofluorescence applications

    • Comparison of signal ratios under conditions known to alter acetylation status

Technical Validation Controls:

  • Loading and Treatment Controls:

    • Include positive control lysates from cells treated with doxorubicin and trichostatin A

    • Use separate detection of total p53 to normalize acetylation signals

    • Include GAPDH or other housekeeping proteins as loading controls

  • Antibody Characteristic Assessment:

    • Test for lot-to-lot variation if using different antibody preparations

    • Determine optimal working concentration by titration

    • Assess performance across different applications (WB, IF, IHC, ChIP)

What controls should be included when studying p53 acetylation at K382 in different cell types?

When investigating p53 acetylation at K382 across different cell types, proper controls are essential to account for cell-specific variations in p53 regulation and to ensure accurate interpretation of results:

Essential Control Categories:

  • Cell Type-Specific Baseline Controls:

    • Measure basal levels of total p53 and K382 acetylation in each cell type under standard culture conditions

    • Determine p53 half-life in each cell type (may affect detectable acetylation levels)

    • Assess endogenous levels of relevant HATs (p300/CBP) and HDACs that could influence acetylation status

  • Induction Response Controls:

    • Compare acetylation response to standardized stimuli (doxorubicin, nutlin-3a, or HDAC inhibitors) across cell types

    • Create a dose-response curve for each cell type to identify optimal treatment conditions

    • Include time-course analysis to capture cell-specific temporal dynamics of acetylation

  • Functional Outcome Controls:

    • Monitor expression of p53 target genes (p21, PUMA, BAX) in parallel with acetylation status

    • Compare cell cycle arrest versus apoptotic responses in relation to K382 acetylation levels

    • Account for cell type-specific differences in p53 transcriptional programs

Special Considerations for Different Cell Types:

Cell TypeKnown CharacteristicsRecommended ControlsExpected K382 Acetylation Response
Cancer Cell Lines (HCT116, MCF7)Wild-type p53, frequent high baseline expressionp53-null derivatives as negative controlsRobust induction with DNA damage + HDACi
Neuronal CellsK382 acetylation inhibits PUMA expressionCompare with non-neuronal cells from same organismMay show protective rather than pro-apoptotic response
Primary CellsLower p53 levels, limited passage numberAge-matched donors, passage-matched culturesMay require lower treatment doses to avoid toxicity
Tissues/Organ SamplesVariable p53 status, complex cellular environmentAdjacent normal tissue, genotyped samplesFixation-dependent, may require antigen retrieval

Technical Normalization Controls:

  • Always normalize acetylated p53 (K382) signal to total p53 levels to distinguish changes in acetylation from changes in p53 abundance

  • Include loading controls appropriate for each cell type (some housekeeping genes vary across tissues)

  • For acetylation induction experiments, include positive controls (TSA+doxorubicin treated samples) alongside each cell type

Understanding cell type-specific variations in p53 regulation and implementing these controls will allow for meaningful comparisons of K382 acetylation patterns and their functional significance across different cellular contexts.

How do different acetyltransferases and deacetylases regulate p53 K382 acetylation in normal versus cancer cells?

The regulation of p53 K382 acetylation by acetyltransferases and deacetylases exhibits distinct patterns in normal versus cancer cells, with significant implications for p53 function and cellular responses:

Acetyltransferase Regulation:

  • p300/CBP in Normal Cells:

    • Tightly regulated activation in response to specific stresses

    • Balanced by appropriate deacetylase activity

    • Results in transient p53 acetylation and controlled cell cycle arrest

  • p300/CBP in Cancer Cells:

    • Often dysregulated through mutations or expression changes

    • May show altered recruitment to p53 following DNA damage

    • Associated with aberrant p53 acetylation patterns that affect treatment response

    • In some contexts, promotes p53 acetylation to inhibit apoptosis (as in HCT116 cells)

Deacetylase Regulation:

  • HDAC1/SIRT1 in Normal Cells:

    • Maintain low basal p53 acetylation under normal conditions

    • Respond to cellular signaling for controlled deacetylation

    • Create appropriate acetylation dynamics for normal p53 function

  • HDAC1/SIRT1 in Cancer Cells:

    • Often overexpressed, leading to constitutive p53 deacetylation

    • May contribute to p53 inactivation in tumors with wild-type p53

    • Represent therapeutic targets for HDAC inhibitors to restore p53 function

Regulatory Complexes:

Normal cells maintain balanced acetyltransferase/deacetylase activities through protein complexes that include MDM2, which can recruit HDAC1 to p53. In cancer cells, this balance is frequently disrupted, either through MDM2 overexpression or through alterations in complex formation that affect p53 acetylation status .

Therapeutic Implications:

The differential regulation of K382 acetylation between normal and cancer cells provides a therapeutic window for interventions targeting acetylation machinery. HDAC inhibitors like depsipeptide have shown promise in restoring p53 acetylation at K382 and activating p53-dependent transcription programs in cancer cells . Understanding the cell type-specific regulation of K382 acetylation will be crucial for developing more targeted approaches that selectively affect cancer cells while sparing normal tissues.

What are emerging technologies for studying p53 K382 acetylation dynamics in live cells?

Recent technological advances have expanded our ability to study p53 K382 acetylation dynamics with unprecedented spatial and temporal resolution in living cells:

Real-time Imaging Approaches:

  • FRET-based Acetylation Sensors:

    • Genetically encoded fluorescent biosensors containing p53 C-terminal domains

    • Conformational changes upon acetylation alter FRET efficiency

    • Enables real-time monitoring of K382 acetylation dynamics in living cells

    • Can reveal oscillatory patterns and single-cell heterogeneity

  • Split Fluorescent Protein Systems:

    • One fragment fused to a K382 acetyl-lysine binding domain (e.g., bromodomain)

    • Complementary fragment fused to p53

    • Fluorescence reconstitution upon K382 acetylation

    • Allows spatial tracking of acetylated p53 populations within cells

Advanced Mass Spectrometry Applications:

  • SILAC-based Temporal Analysis:

    • Stable isotope labeling with amino acids in cell culture

    • Enables quantitative comparison of acetylation levels across time points

    • Can be combined with subcellular fractionation to track acetylated p53 localization

  • Targeted Parallel Reaction Monitoring (PRM):

    • Highly sensitive detection of specific acetylated peptides

    • Allows quantification of multiple p53 modifications simultaneously

    • Enables precise stoichiometry measurements of acetylation at different lysine residues

Genomic and Transcriptomic Integration:

  • CUT&RUN with Acetyl-TP53 (K382) Antibody:

    • Cleavage Under Targets and Release Using Nuclease

    • Higher resolution alternative to ChIP for mapping genomic binding sites

    • Reveals genome-wide binding patterns of acetylated p53 with minimal background

  • Nascent Transcriptomics:

    • Methods like SLAM-seq or TT-seq coupled with p53 acetylation status

    • Directly links K382 acetylation to immediate transcriptional outputs

    • Distinguishes primary from secondary transcriptional effects

These emerging technologies provide unprecedented insights into the spatiotemporal dynamics of p53 K382 acetylation and its relationship to p53 function. Integration of multiple approaches will be key to understanding how acetylation patterns translate into specific cellular responses and how these processes are dysregulated in disease states.

How might therapeutic targeting of p53 K382 acetylation be developed for cancer treatment?

Therapeutic strategies targeting p53 K382 acetylation represent a promising frontier in cancer treatment, potentially restoring p53 function in tumors with wild-type p53 and enhancing current treatment modalities:

Current Therapeutic Approaches:

  • HDAC Inhibitors:

    • FDA-approved HDAC inhibitors (vorinostat, romidepsin) increase p53 K382 acetylation

    • Most effective in combination with DNA-damaging agents

    • Clinical limitation: lack of specificity for p53-related HDACs

  • p300/CBP Activators:

    • Small molecules that enhance p300/CBP acetyltransferase activity

    • Potential to increase p53 K382 acetylation selectively

    • Still in preclinical development stages

Emerging Targeted Strategies:

  • Selective HDAC Inhibition:

    • Development of isoform-specific HDAC inhibitors targeting those most involved in p53 deacetylation

    • Reduction of off-target effects seen with pan-HDAC inhibitors

    • Potential for greater efficacy and reduced toxicity

  • Acetylation-Mimicking Approaches:

    • Peptides or small molecules that mimic acetylated K382 structure

    • Could disrupt interactions dependent on non-acetylated K382

    • May bypass need for actual acetylation in tumors with dysfunctional acetyltransferases

  • Targeted Protein Degradation:

    • PROTAC (Proteolysis Targeting Chimera) technology targeting specific HDACs that deacetylate p53

    • More complete inhibition than catalytic inhibitors alone

    • Potential for greater specificity to p53-related complexes

Combination Therapy Rationales:

Therapeutic CombinationMechanistic RationalePotential AdvantagesClinical Status
HDAC inhibitors + DNA damaging agentsEnhanced p53 K382 acetylation augments DNA damage responseSynergistic activation of p53-dependent apoptosisMultiple clinical trials ongoing
HDAC inhibitors + MDM2 inhibitorsDual stabilization and activation of p53May overcome resistance to single-agent treatmentEarly phase clinical testing
K382 acetylation modulators + immunotherapyAcetylated p53 may enhance immune recognitionCould expand responder population for immunotherapyPreclinical investigation

Cell Type Considerations:
The therapeutic targeting of p53 K382 acetylation needs to account for tissue-specific differences in acetylation effects. While increasing K382 acetylation promotes apoptosis in most cancer cells, it may have protective effects in neuronal cells . This differential response provides both challenges and opportunities for developing therapies with favorable therapeutic windows that spare normal tissues while effectively targeting cancer cells.

Future therapeutic developments will likely leverage our growing understanding of the context-dependent nature of p53 K382 acetylation to develop more personalized approaches based on tumor-specific acetylation patterns and regulatory mechanisms.

What are the key considerations when interpreting p53 K382 acetylation data in experimental and clinical contexts?

Interpreting p53 K382 acetylation data requires careful consideration of multiple factors that influence both the detection and functional significance of this modification:

Technical Interpretation Factors:

  • Normalization and Quantification:

    • Always normalize acetylated p53 (K382) signal to total p53 levels

    • Consider the stoichiometry of acetylation (what percentage of total p53 is acetylated)

    • Acknowledge detection threshold limitations of antibody-based methods

  • Temporal Dynamics:

    • Recognize that acetylation is a dynamic process with specific kinetics

    • Single time-point measurements may miss important temporal patterns

    • Consider the stability of the modification in your experimental system

  • Contextual PTM Landscape:

    • Interpret K382 acetylation in the context of other p53 modifications

    • Acknowledge that modification patterns rather than single PTMs determine function

    • Consider potential antagonistic or synergistic relationships between modifications

Biological Context Considerations:

  • Cell Type Specificity:

    • The same level of K382 acetylation may have different functional outcomes in different cell types

    • Neuronal cells show distinct responses compared to epithelial cancer cells

    • Compare results only between similar cell types or acknowledge limitations of cross-type comparisons

  • Genetic Background Effects:

    • p53 mutation status fundamentally affects interpretation (acetylation of mutant vs. wild-type p53)

    • MDM2/MDMX levels modulate both p53 stability and acetylation

    • Consider status of relevant acetyltransferases and deacetylases

  • Stress Context Dependency:

    • Different stressors induce distinct acetylation patterns and downstream effects

    • The same acetylation level may have different meanings depending on the triggering stress

    • Interpret acetylation in the context of the specific cellular stress response being studied

By systematically addressing these considerations when analyzing p53 K382 acetylation data, researchers can develop more nuanced and accurate interpretations that account for the complex and context-dependent nature of p53 regulation through acetylation.

What are the most significant unanswered questions regarding p53 K382 acetylation in cellular function and disease?

Despite significant advances in understanding p53 K382 acetylation, several critical questions remain unanswered, presenting important opportunities for future research:

Mechanistic Questions:

  • Acetylation Reader Mechanisms:

    • Which specific proteins recognize acetylated K382 to mediate downstream effects?

    • How do these readers distinguish K382 acetylation from acetylation at other p53 lysine residues?

    • What is the structural basis for acetylation-dependent protein-protein interactions?

  • Regulatory Selectivity:

    • What determines which specific lysine residues get acetylated under different stress conditions?

    • How is acetyltransferase specificity regulated to target K382 versus other lysines?

    • What controls the balance between competing modifications (acetylation vs. ubiquitination vs. methylation) at K382?

Functional Questions:

  • Target Gene Selectivity:

    • How does K382 acetylation influence p53's binding to specific response elements?

    • What determines whether K382 acetylation promotes cell cycle arrest versus apoptotic gene programs?

    • How does the effect of K382 acetylation on gene expression differ between cell types?

  • Non-transcriptional Functions:

    • Does K382 acetylation affect p53's direct interactions with mitochondria and apoptotic machinery?

    • How does acetylation influence p53's roles in metabolism and autophagy?

    • Are there cytoplasmic functions of p53 that are regulated by K382 acetylation?

Clinical and Translational Questions:

  • Biomarker Potential:

    • Can p53 K382 acetylation status serve as a predictive biomarker for treatment response?

    • How does K382 acetylation status correlate with patient outcomes in different cancer types?

    • What are the technical challenges in measuring K382 acetylation in patient samples?

  • Therapeutic Targeting:

    • How can we develop approaches that specifically target p53 K382 acetylation without affecting global acetylation?

    • What combination therapy strategies might be most effective in leveraging p53 K382 acetylation for cancer treatment?

    • How can we account for and exploit cell type-specific differences in p53 acetylation responses?

  • Beyond Cancer:

    • What role does p53 K382 acetylation play in aging and age-related diseases?

    • How does K382 acetylation contribute to p53's functions in metabolism, fertility, and development?

    • Is there therapeutic potential in modulating p53 K382 acetylation in non-cancer conditions?

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