Phospho-MYC (S373) Antibody

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Description

Immunogen and Specificity

All antibodies target the phosphorylated serine 373 residue within the MYC protein’s basic helix-loop-helix (bHLH) domain. The immunogens are synthetic peptides derived from human MYC sequences surrounding S373. NET’s antibody undergoes rigorous peptide affinity purification, ensuring high specificity .

Cancer Biology

Phosphorylation at S373 regulates MYC’s transcriptional activity and stability. Studies using these antibodies have shown:

  • Pak2-mediated phosphorylation reduces MYC’s ability to form dimers with MAX, impairing transcriptional activation and cellular proliferation .

  • AURKB/CDC37 complex phosphorylates MYC at S373 to stabilize it, promoting clear cell renal cell carcinoma (ccRCC) progression .

Signal Transduction

S373 phosphorylation modulates MYC’s role in:

  • Cell cycle regulation: Phosphorylation inhibits MYC’s activation of cyclin D1 (CCND1) transcription .

  • Apoptosis: Pak2-induced phosphorylation enhances apoptosis under stress conditions .

Antibody Validation

AssayBoster Bio Assay Genie NET
WBNot validatedValidatedValidated
IHCValidatedNot reportedNot reported
ELISAValidatedNot reportedValidated

Boster’s antibody is cross-validated for multiple techniques, while NET’s performs optimally in dot blot assays.

Clinical and Therapeutic Implications

Phospho-MYC (S373) antibodies are pivotal in:

  • Cancer diagnostics: Monitoring MYC phosphorylation may aid in identifying aggressive tumor subtypes .

  • Drug discovery: Targeting kinases (e.g., Pak2, AURKB) that modify S373 could yield therapeutic strategies for MYC-driven cancers .

Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can dispatch the products within 1-3 business days after receiving your order. The delivery time may vary depending on the purchase method or location. For specific delivery times, please consult your local distributors.
Synonyms
AU016757 antibody; Avian myelocytomatosis viral oncogene homolog antibody; bHLHe39 antibody; c Myc antibody; Cellular myelocytomatosis oncogene antibody; Class E basic helix-loop-helix protein 39 antibody; MGC105490 antibody; MRTL antibody; Myc antibody; Myc protein antibody; Myc proto oncogene protein antibody; Myc proto-oncogene protein antibody; myc-related translation/localization regulatory factor antibody; MYC_HUMAN antibody; Myc2 antibody; myca antibody; MYCC antibody; Myelocytomatosis oncogene a antibody; Myelocytomatosis oncogene antibody; Niard antibody; Nird antibody; oncogene c-Myc antibody; Oncogene Myc antibody; OTTHUMP00000158589 antibody; OTTHUMP00000227763 antibody; Proto-oncogene c-Myc antibody; Protooncogene homologous to myelocytomatosis virus antibody; RNCMYC antibody; Transcription factor p64 antibody; Transcriptional regulator Myc-A antibody; V-Myc avian myelocytomatosis viral oncogene homolog antibody; v-myc myelocytomatosis viral oncogene homolog (avian) antibody; zc-myc antibody
Target Names
MYC
Uniprot No.

Target Background

Function
MYC is a transcription factor that binds DNA in a non-specific manner but also specifically recognizes the core sequence 5'-CAC[GA]TG-3'. It activates the transcription of growth-related genes. MYC binds to the VEGFA promoter, promoting VEGFA production and subsequent sprouting angiogenesis. It is a regulator of somatic reprogramming and controls the self-renewal of embryonic stem cells. MYC functions with TAF6L to activate target gene expression through RNA polymerase II pause release.
Gene References Into Functions
  1. This study demonstrates that hsamiR24 suppresses metastasis in nasopharyngeal carcinoma by regulating the cMyc/EMT axis, suggesting that hsamiR24 may serve as a prognostic factor and a novel target for preventing nasopharyngeal carcinoma metastasis. PMID: 30226609
  2. lncRNA THOR is upregulated in retinoblastoma, and its overexpression significantly enhances the malignant phenotype transformation of retinoblastoma cells by upregulating c-myc and TGF2BP1 expression. PMID: 30119193
  3. This study demonstrates that neither MYC IHC nor MYC FISH alone is sufficient for identifying the clinically relevant entities of HGBLwR or DEL PMID: 28868942
  4. Since RPL23 is encoded by a target gene of c-Myc, the RPL23/Miz-1/c-Myc regulatory circuit provides a feedback loop that links efficient RPL23 expression with c-Myc's function to suppress Miz-1-induced Cdk inhibitors, leading to apoptotic resistance in higher-risk myelodysplastic syndrome patients. PMID: 28539603
  5. GATAD2B interacts with C-MYC to enhance KRAS-driven tumor growth. PMID: 30013058
  6. Low expression of c-Myc protein predicts poor outcomes in patients with HCC who undergo hepatectomy. PMID: 29690860
  7. These findings suggest that c-Myc could transcriptionally regulate TCRP1 in cell lines and clinical samples, identifying the c-Myc-TCRP1 axis as a negative biomarker of prognosis in tongue and lung cancers. PMID: 28623290
  8. Kazakh and Han patients with esophageal squamous cell carcinoma exhibiting Glut1 c-myc co-expression had poorer prognoses. PMID: 29629851
  9. MYC activation in papillary clear cell renal cell carcinoma leads to a worse prognosis. PMID: 28593993
  10. No relationship was found between Bcl-2, c-Myc, and EBER-ISH positivity and the low/high IPS groups in classical Hodgkin lymphoma. PMID: 29708579
  11. Fluorescence in situ hybridization studies (histologic sections) confirmed translocations of MYC (8q24), BCL2 (18q21), and BCL6 (3q27) in all patients. PMID: 30043475
  12. Topical mevastatin accelerates wound closure by promoting epithelialization through multiple mechanisms: modulation of GR ligands and induction of the long noncoding RNA Gas5, leading to c-Myc inhibition. PMID: 29158265
  13. CCND1, C-MYC, and FGFR1 amplifications were observed in 34.28%, 28.57%, and 17.14% of the 35 samples (invasive ductal breast carcinoma), respectively. PMID: 30119151
  14. Data suggest that MYC induction of REV-ERBalpha is both persistent and recurrent across many inducible MYC model systems. PMID: 28332504
  15. HUWE1 overexpression could functionally suppress prostate carcinoma development both in vitro and in vivo, potentially by inverse regulation of c-Myc. PMID: 29966975
  16. Menin functions as an oncogenic regulatory factor crucial for MYC-mediated gene transcription. PMID: 28474697
  17. High c-myc expression is associated with colorectal cancer. PMID: 30015962
  18. Melatonin disrupts SUMOylation-mediated crosstalk between c-Myc and nestin via MT1 activation and promotes the sensitivity of paclitaxel in brain cancer stem cells. PMID: 29654697
  19. FBP1 modulates the sensitivity of pancreatic cancer cells to BET inhibitors by decreasing the expression of c-Myc. These findings suggest that FBP1 could serve as a therapeutic niche for patient-tailored therapies. PMID: 30201002
  20. miR135a directly bound to UCA1 and the 3' untranslated region of cmyc, and UCA1 competed with cmyc for miR135a binding. PMID: 30015867
  21. MYC directly regulates DANCR and plays a significant role in cancer cell proliferation. PMID: 29180471
  22. This review provides support for the hypothesis that the cooperation of c-Myc with transcriptional cofactors mediates c-Myc-induced cellular functions. Evidence is presented suggesting that recently identified cofactors are involved in c-Myc control of cancer cell survival mechanisms. PMID: 30261904
  23. 4-chlorobenzoyl berbamine (CBBM) inhibits the JAK2/STAT3 pathway, leading to reduced c-Myc transcription. These findings suggest that CBBM could be a promising lead compound for treating c-Myc-driven diffuse large B cell lymphoma. PMID: 30099568
  24. Results revealed that C-MYC protein is highly expressed in colon cancer tissues, mainly in the cell nucleus and was identified as a direct target for mir-184. C-MYC appeared to participate in cell cycle regulation and malignant transformation to colon cancer. PMID: 28782841
  25. MACC1 and c-Myc are highly expressed in serum and tumor tissues of EC patients. Both are correlated with TNM stage, primary infiltration, and lymph node or distal metastasis. PMID: 29984790
  26. This study provides an interesting example using chemical biological approaches for determining distinct biological consequences from inhibiting vs. activating an E3 ubiquitin ligase and suggests a potential broad therapeutic strategy for targeting c-MYC in cancer treatment by pharmacologically modulating cIAP1 E3 ligase activity. PMID: 30181285
  27. The data demonstrated that 10058F4, a cMyc inhibitor, increased the growth inhibition, G0/G1 phase arrest, and apoptosis of the NALM6 and CEM cells as induced by dexamethasone (DXM), a type of GC. PMID: 29749488
  28. c-MYC/BCL2 protein co-expression is associated with non-germinal center B-cell in Diffuse Large B-Cell Lymphoma. PMID: 29801406
  29. c-Myc was capable of upregulating HP1gamma by directly binding to the E-box element in the first intron of HP1gamma gene, and the upregulated HP1gamma, in turn, repressed the expression of miR-451a by enhancing H3K9 methylation at the promoter region of miR-451a. PMID: 28967902
  30. A subset of pancreatic acinar cell carcinomas shows c-MYC alterations including gene amplification and chromosome 8 polysomy. PMID: 29721608
  31. Expression and Clinical Significance of LC-3 and P62 in Non-small Cell Lung Cancer. PMID: 29945702
  32. The current study demonstrates the presence of the IDH1 R132H mutation in primary human glioblastoma cell lines with upregulated HIF-1alpha expression, downregulating c-MYC activity and resulting in a consequential decrease in miR-20a, which is responsible for cell proliferation and resistance to standard temozolomide treatment. PMID: 29625108
  33. A novel signal circuit of Stat3/Oct-4/c-Myc was identified for regulating stemness-mediated Doxorubicin resistance in triple-negative breast cancer. PMID: 29750424
  34. MYC amplification and MYC overexpression occurred almost exclusively in secondary cutaneous angiosarcoma in this series. PMID: 29135507
  35. High c-myc expression is associated with the development of prostate cancer. PMID: 29554906
  36. Circular RNA hsa_circRNA_103809 promotes lung cancer progression via facilitating ZNF121-dependent MYC expression by sequestering miR-4302. PMID: 29698681
  37. Authors conclude that quantitative measurements of intratumor heterogeneity by multiplex FISH, detection of MYC amplification and TP53 mutation could augment prognostication in breast cancer patients. PMID: 29181861
  38. PCYT1A was upregulated by MYC, which resulted in the induction of aberrant choline metabolism and the inhibition of B-lymphoma cell necroptosis. PMID: 28686226
  39. Cryptic t(3;8)(q27;q24) and/or MYC-BCL6 linkage associated with MYC expression by immunohistochemistry is frequent in multiple-hit B-cell lymphomas. PMID: 28665415
  40. CD30+ diffuse large B-cell lymphoma has characteristic clinicopathological features mutually exclusive with MYC gene rearrangement and negatively associated with BCL2 protein expression. PMID: 29666157
  41. High MYC amplification is associated with HER2-positive breast cancers in African American women. PMID: 29523126
  42. These data suggest that MYC acts as a master coordinator that inversely modulates the impact of cell cycle and circadian clock on gene expression via its interaction with MIZ1. PMID: 27339797
  43. In this study, the c-myc oncogene was amplified in 11.1% of BPH samples. Bivariate analysis failed to reveal any significant association between oncogene amplification and the clinicopathologic variables examined. PMID: 29234244
  44. Genetic variation at the 8q24.21 renal cancer susceptibility locus affects HIF1A and HIF1B binding to a MYC enhancer. PMID: 27774982
  45. Data indicate that miR-34a enhanced the sensitivity to cisplatin by upregulation of the c-Myc and Bim pathway. PMID: 29060932
  46. Luciferase reporter assay showed that c-Myc, an oncogene that regulates cell survival, angiogenesis, and metastasis, was a direct target of miR-376a. Overexpression of miR-376a decreased the mRNA and protein levels of c-Myc in A549 cells. PMID: 28741879
  47. The present findings show that the expression of c-MYC has prognostic value in squamous cell carcinoma of the tongue and could be useful in choosing therapy. PMID: 28393404
  48. Multivariable analysis indicated that IPI (P = 0.002), chemotherapy regimens (P = 0.017), and MYC gene rearrangements (P = 0.004) were independent adverse prognostic factors for all diffuse large B cell Lymphoma (DLBCL) patients in this study. Results demonstrated that the poor survival of DLBCL patients with HBV infection was closely involved in chemotherapy regimens, IPI, and MYC gene rearrangements. PMID: 29209623
  49. MYC extra copy in diffuse large B-cell lymphoma is an independent poor prognostic factor. PMID: 28776574
  50. The c-Myc/miR-200b/PRDX2 loop regulates colorectal cancer (CRC) progression, and its disruption enhances tumor metastasis and chemotherapeutic resistance in CRC. PMID: 29258530

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Database Links

HGNC: 7553

OMIM: 113970

KEGG: hsa:4609

STRING: 9606.ENSP00000367207

UniGene: Hs.202453

Involvement In Disease
Burkitt lymphoma (BL)
Subcellular Location
Nucleus, nucleoplasm. Nucleus, nucleolus.

Q&A

What is Phospho-MYC (S373) Antibody and what specifically does it detect?

Phospho-MYC (S373) Antibody is a rabbit polyclonal antibody specifically designed to detect the MYC protein only when phosphorylated at serine 373. This antibody recognizes the post-translational modification state of MYC without cross-reactivity to unphosphorylated MYC at this site. The antibody is developed using a phospho-specific peptide corresponding to residues surrounding S373 of human c-Myc as the immunogen .

The antibody has high specificity for the phosphorylated form of MYC, allowing researchers to precisely analyze this particular phosphorylation state in various experimental contexts. Most commercially available versions are affinity-purified from rabbit antiserum using epitope-specific immunogens to ensure specificity .

What are the common applications for Phospho-MYC (S373) Antibody?

Phospho-MYC (S373) Antibody has been validated for several key research applications:

ApplicationRecommended DilutionNotes
Western Blot (WB)1:500 - 1:1000Detects band at ~60 kDa
Immunohistochemistry (IHC)1:50 - 1:300Works on formalin-fixed, paraffin-embedded sections
Immunoprecipitation (IP)2-5 μg/mg lysateUseful for protein complex studies
ELISA1:20000High sensitivity in this format
Dot Blot1:100 - 1:500Can detect as little as 50 ng of phosphopeptide

Each application requires specific optimization depending on sample type and experimental conditions .

What is the biological significance of MYC phosphorylation at serine 373?

MYC is a proto-oncogene and nuclear phosphoprotein that plays critical roles in cell cycle progression, apoptosis, and cellular transformation . Phosphorylation at serine 373 is a key regulatory mechanism that impacts:

  • Regulation of MYC protein activity and stability

  • DNA binding capability and transcriptional activity

  • Protein-protein interactions, particularly with MAX, its heterodimeric partner

Research has demonstrated that the phosphorylation state at S373 affects the α-helical propensity of MYC protein structure. According to biophysical studies, the S373D phosphomimetic mutation results in a dissociation constant (Kᴅ) of 23.0 ± 9.0 nM for MAX binding, which is comparable but not identical to actual phosphorylation (approximately 4-fold difference) . This suggests phosphorylation at this site regulates MYC-MAX complex formation, which is essential for MYC's function as a transcription factor.

How should Phospho-MYC (S373) Antibody be stored and handled?

For optimal performance, follow these storage and handling recommendations:

  • Store at -20°C upon receipt

  • For long-term storage, keep at -20°C or -80°C in small aliquots to prevent freeze-thaw cycles

  • For short-term storage (up to 6 months), maintain refrigerated at 2-8°C

  • The antibody is typically supplied in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide as stabilizers

  • When handling, avoid repeated freeze-thaw cycles as this can reduce antibody activity and yield inconsistent results

Proper storage conditions are critical for maintaining antibody specificity and reactivity over time.

How does phosphorylation at S373 compare with other phosphorylation sites in MYC regulation?

MYC activity is regulated through multiple phosphorylation sites, with S373 functioning differently from other well-studied sites like T58 and S62:

Phosphorylation SitePrimary KinaseFunctionEffect on Stability
S373Unknown from search resultsAffects MAX binding, alters α-helical propensityAppears to regulate activity
T58GSK3Required for Fbw7 bindingPromotes degradation
S62ERKRequired for Fbw7 binding when co-phosphorylated with T58Stabilizing when phosphorylated alone
T400Unknown from search resultsAffects MAX binding with different stoichiometry than S373When combined with S373 phosphorylation, severely impairs MAX binding

Research indicates that while T58/S62 phosphorylation primarily regulates MYC protein stability through the ubiquitin-proteasome pathway via Fbw7 interaction, S373 phosphorylation appears more directly involved in modulating MYC's interaction with MAX and its transcriptional activity .

The combined effect of phosphorylation at both S373 and T400 would theoretically increase the Kᴅ for MAX binding to approximately 6 μM if the effects at both sites were independent, which is consistent with the lack of detectable binding in ITC experiments with the S373D/T400D double mutant .

What experimental controls should be included when using Phospho-MYC (S373) Antibody?

For rigorous research with phospho-specific antibodies, include these essential controls:

  • Phosphatase treatment control: Treat a portion of your sample with lambda phosphatase to demonstrate that antibody reactivity is lost when phosphorylation is removed.

  • Phospho-mimetic controls: When performing functional studies, compare results using:

    • Wild-type MYC

    • MYC with S373D mutation (phosphomimetic)

    • MYC with S373A mutation (phospho-deficient)

    The S373D mutation has been shown to mimic phosphorylation with a Kᴅ for MAX binding (23.0 ± 9.0 nM) that approximates but doesn't perfectly match true phosphorylation effects .

  • Stimulus-specific controls: Include samples treated with phosphorylation-inducing stimuli. For example, UV treatment has been shown to induce S373 phosphorylation in multiple cell lines (HEK293T, Raw264.7, PC12) .

  • Positive sample control: The antibody has been validated in A-431 cells, making this a suitable positive control for initial testing .

  • Cross-reactivity assessment: Test reactivity against phospho-mutants (S373A) to confirm specificity for the phosphorylated form .

These controls will help validate specificity and ensure reliable interpretation of experimental results.

How do the S373D and S373E phosphomimetic mutations compare to actual phosphorylation?

Phosphomimetic mutations are commonly used to study phosphorylation effects, but their accuracy in mimicking true phosphorylation varies:

  • Chemical shift analysis: NMR studies show that the S373D mutation mimics the chemical shift changes observed upon phosphorylation to a large extent, while the S373E variant behaves more similarly to unphosphorylated MYC WT .

  • Binding kinetics: ITC measurements at 298K show that MYC S373D binding to MAX yields a dissociation constant (Kᴅ) of 23 nM, which is comparable but not identical to phosphorylated MYC WT-2P (97 nM). This approximately 4-fold difference indicates that Asp provides a close but slightly imperfect mimicking of a phosphate group .

  • Stoichiometry effects: Unlike the T400D mutation which alters binding stoichiometry to 2:1 (MYC:MAX), the S373D mutation maintains the expected 1:1 stoichiometry similar to phosphorylated wild-type protein .

  • Structural effects: The decrease in α-helical propensity caused by the S373D mutation is independent of the T400D mutation, suggesting little long-range interaction between these sites .

For the most accurate experimental design, researchers should consider these differences when interpreting results based on phosphomimetic mutations rather than actual phosphorylation.

What are the specific technical considerations for Western blot applications using Phospho-MYC (S373) Antibody?

When performing Western blot with Phospho-MYC (S373) Antibody, consider these technical aspects:

  • Expected molecular weight: While the calculated MW of MYC is approximately 51kDa, the observed band typically appears at ~60kDa due to post-translational modifications . Some samples may show both the 50kDa and 60kDa bands.

  • Sample preparation:

    • Include phosphatase inhibitors in lysis buffers to prevent dephosphorylation during extraction

    • Avoid excessive freeze-thaw cycles of samples which can affect phosphorylation status

    • Consider stimulating cells with UV treatment to increase phosphorylation levels at S373 for positive controls

  • Blocking optimization:

    • For phospho-specific antibodies, BSA-based blocking solutions (3-5%) often perform better than milk-based blockers, as milk contains phosphoproteins that may interfere with detection

  • Dilution optimization:

    • Start with the recommended 1:500-1:1000 dilution range

    • Optimize based on signal-to-noise ratio for your specific sample type

  • Positive controls:

    • A-431 cell lysate is recommended as a positive control

    • HEK293T, Raw264.7, and PC12 cell lysates treated with UV have also been validated

  • Signal detection:

    • Enhanced chemiluminescence (ECL) systems are recommended for sensitive detection

    • Consider longer exposure times than standard antibodies, as phospho-specific signals may be weaker

How can Phospho-MYC (S373) Antibody be used to study MYC's role in cancer development?

MYC is frequently dysregulated in cancer, making phospho-specific antibodies valuable tools in oncology research:

  • Tumor profiling: Phospho-MYC (S373) Antibody can be used in IHC to analyze phosphorylation patterns across tumor samples. This has been validated in human breast carcinoma tissue at 1:100 dilution .

  • Pathway analysis: Since MYC phosphorylation is regulated by upstream kinase signaling, this antibody can help map altered signaling pathways in cancer cells:

    • Determine which oncogenic signaling pathways affect S373 phosphorylation status

    • Compare with T58/S62 phosphorylation patterns to build a comprehensive view of MYC regulation

  • Therapeutic response monitoring: The antibody can be used to measure changes in MYC phosphorylation status following treatment with:

    • Kinase inhibitors

    • Cell cycle modulators

    • Transcriptional regulators

  • Correlation with functional outcomes: Researchers can correlate S373 phosphorylation levels with:

    • Cell proliferation rates

    • Apoptotic response

    • Gene expression changes in MYC target genes

    • Resistance to specific therapies

  • Comparison with other MYC regulatory mechanisms: Integrate phosphorylation data with other MYC regulatory mechanisms:

    • Unlike T58/S62 phosphorylation which primarily affects MYC stability through Fbw7-mediated degradation , S373 phosphorylation appears to more directly affect MYC's binding to MAX and subsequently its transcriptional activity

    • This differential regulation suggests multiple approaches for therapeutic targeting

What methodological approaches can distinguish between different phosphorylated forms of MYC?

Distinguishing between different phosphorylated forms of MYC requires specific methodological approaches:

  • Sequential immunoprecipitation:

    • First IP with one phospho-specific antibody (e.g., pS373)

    • Then analyze the immunoprecipitated material with a different phospho-specific antibody (e.g., pT58/pS62)

    • This approach determines if both phosphorylations occur on the same molecule

  • Phosphatase treatment combined with Western blotting:

    • Treat samples with different phosphatases with varying specificities

    • Analyze the resulting patterns with multiple phospho-specific antibodies

    • This reveals the interdependence of different phosphorylation events

  • 2D gel electrophoresis:

    • Separate proteins first by isoelectric point, then by molecular weight

    • Blot with total MYC antibody to visualize all phospho-forms

    • Compare to parallel blots with phospho-specific antibodies

  • Mass spectrometry:

    • Immunoprecipitate MYC using either total or phospho-specific antibodies

    • Perform MS analysis to identify and quantify all phosphorylation sites simultaneously

    • Compare phosphorylation patterns across different experimental conditions

  • Bioluminescence resonance energy transfer (BRET) assays:

    • Create BRET sensors with phospho-specific binding domains

    • Monitor specific phosphorylation events in real-time in living cells

    • This allows temporal analysis of different phosphorylation events

These approaches can help researchers understand the complex interplay between different phosphorylation sites and their combined effects on MYC function.

What are the limitations of Phospho-MYC (S373) Antibody that researchers should consider?

Despite its utility, researchers should be aware of several limitations when working with Phospho-MYC (S373) Antibody:

  • Antibody specificity variations:

    • Lot-to-lot variation may occur, requiring validation with each new lot

    • Cross-reactivity with structurally similar phosphorylation motifs should be assessed

  • Technical limitations:

    • Background signal in certain tissues, especially those with high endogenous phosphatase activity

    • Potential loss of phosphorylation during sample preparation if phosphatase inhibitors are inadequate

    • The need to optimize fixation conditions for IHC applications to preserve phospho-epitopes

  • Biological context limitations:

    • Phosphorylation status may change rapidly during cell lysis, potentially leading to artifacts

    • Phosphorylation at S373 may be transient or context-dependent, making detection challenging in some systems

    • Interactions between multiple phosphorylation sites can complicate interpretation of single-site analysis

  • Interpretation challenges:

    • The presence of phosphorylation doesn't necessarily indicate functional activity

    • The relationship between S373 phosphorylation and other post-translational modifications requires careful experimental design to elucidate

To address these limitations, researchers should implement rigorous controls, validate results with complementary approaches, and consider the biological context when interpreting data.

How can Phospho-MYC (S373) Antibody be integrated with other research tools to gain comprehensive insights into MYC biology?

For comprehensive understanding of MYC biology, integrate Phospho-MYC (S373) Antibody with these complementary approaches:

  • Multi-parametric analysis combinations:

    • Combine with other phospho-specific antibodies (T58/S62) to create a phosphorylation profile

    • Integrate with ubiquitination analysis to connect phosphorylation to protein stability regulation

    • Pair with chromatin immunoprecipitation (ChIP) to correlate phosphorylation with genomic binding

  • Advanced imaging applications:

    • Use in super-resolution microscopy to visualize subcellular localization of phosphorylated MYC

    • Apply in multiplexed immunofluorescence to simultaneously detect multiple MYC modifications

    • Implement in live-cell imaging with genetically encoded biosensors to track phosphorylation dynamics

  • Functional genomics integration:

    • Correlate phosphorylation data with RNA-seq to link phosphorylation status to transcriptional outputs

    • Combine with CRISPR/Cas9 gene editing of kinases/phosphatases to identify regulatory enzymes

    • Integrate with interactome studies to define phosphorylation-dependent protein interactions

  • Systems biology approaches:

    • Develop computational models incorporating phosphorylation data to predict MYC activity

    • Use phospho-proteomic data to position S373 phosphorylation within broader signaling networks

    • Apply machine learning to identify patterns associating S373 phosphorylation with cellular phenotypes

This integrated approach allows researchers to move beyond simply detecting phosphorylation to understanding its functional significance within the complex regulatory network controlling MYC activity in normal and disease states.

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