Phospho-MYC (T358) Antibody

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Description

Overview of Phospho-MYC (T58) Antibody

The Phospho-MYC (T58) antibody is a specialized reagent designed to detect MYC protein phosphorylated at threonine 58 (T58), a critical post-translational modification regulating MYC stability and oncogenic activity. This antibody is widely used in research to study MYC-driven cancers, including T-cell lymphomas and hepatocellular carcinoma (HCC) .

Biological Role of MYC T58 Phosphorylation

MYC is a proto-oncogene transcription factor that drives cell proliferation, apoptosis, and metabolism. Phosphorylation at T58 and Ser62 (S62) regulates its stability:

  1. Sequential Phosphorylation:

    • S62 phosphorylation (via ERK) stabilizes MYC.

    • Subsequent T58 phosphorylation (via GSK3β) triggers ubiquitination and proteasomal degradation .

  2. Oncogenic Mutations:

    • T58A mutations stabilize MYC, enhancing its transforming activity and reducing apoptosis .

    • Tumors with reduced T58 phosphorylation exhibit MYC overexpression .

T-Cell Lymphomagenesis

  • MYC T58A Mutant Mice developed aggressive T-cell lymphomas with 100% penetrance, while S62A mutants showed reduced oncogenicity .

  • Mechanism: T58 phosphorylation loss disrupts MYC degradation, promoting unchecked proliferation .

Therapeutic Targeting in HCC

  • Statins (e.g., Atorvastatin) inhibit HMG-CoA reductase, suppressing MYC T58 phosphorylation via Rac GTPase modulation. This reduces MYC stability and HCC tumor growth .

  • Key Data:

    • Statin treatment decreased MYC phosphorylation by 60% in murine HCC models .

    • Tumors expressing phosphorylation-resistant MYC mutants were statin-resistant .

Antibody Validation

  • ab28842: Validated in WB (human ovarian cancer lysate) and ICC/IF (HeLa cells) .

  • MA5-35847: Targets both T58 and S62, useful for studying phosphorylation dynamics .

Common Pitfalls

  • Cross-Reactivity: MA5-35847 reacts with rodent MYC, while others are human-specific .

  • Storage Stability: STJ22303 retains activity for 12 months at -20°C .

Product Specs

Buffer
The antibody is provided as a liquid solution in phosphate-buffered saline (PBS) containing 50% glycerol, 0.5% bovine serum albumin (BSA), and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can ship 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 time information, please contact 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. MYC is a regulator of somatic reprogramming and controls the self-renewal of embryonic stem cells. It functions with TAF6L to activate target gene expression through RNA polymerase II pause release.
Gene References Into Functions
  1. This study's findings demonstrate 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 the prevention of nasopharyngeal carcinoma metastasis. PMID: 30226609
  2. lncRNA THOR is up-regulated in retinoblastoma, and its over-expression significantly enhances the malignant phenotype transformation of retinoblastoma cells by up-regulating c-myc and TGF2BP1 expression. PMID: 30119193
  3. Our findings demonstrate 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, thereby 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. Collectively, 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 exhibited poorer prognosis. PMID: 29629851
  9. MYC activation in papillary clear cell renal cell carcinoma leads to a worse prognosis. PMID: 28593993
  10. We found no relationship 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 via 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). 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, possibly by inverse regulation of c-Myc. PMID: 29966975
  16. Menin functions as an oncogenic regulatory factor that is critical for MYC-mediated gene transcription. PMID: 28474697
  17. High c-myc expression is associated with colorectal cancer. PMID: 30015962
  18. Melatonin disturbs 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 highlight FBP1 as a potential therapeutic target 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. In this review, we provide support for the hypothesis that the cooperation of c-Myc with transcriptional cofactors mediates c-Myc-induced cellular functions. We present evidence 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. Collectively, these findings suggest that CBBM could be a promising lead compound for the treatment of c-Myc-driven diffuse large B cell lymphoma. PMID: 30099568
  24. Results revealed that C-MYC protein is highly expressed in colon cancer tissues, primarily in the cell nucleus, and was identified as a direct target for mir-184. C-MYC appears 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. The study provides an interesting example using chemical biological approaches to determine distinct biological consequences from inhibiting versus 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 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 findings of the current study demonstrate the presence of the IDH1 R132H mutation in primary human glioblastoma cell lines with upregulated HIF-1alpha expression, downregulating c-MYC activity, 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 our 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 our 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 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 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 (T358) and why is it important in research?

Phospho-MYC (T358) refers to the MYC protein when phosphorylated at threonine 358. MYC is a transcription factor that binds DNA and activates growth-related genes. It plays critical roles in cell proliferation, metabolism, and oncogenesis. Phosphorylation at specific sites, including T358/T58, regulates MYC's stability, activity, and proteasomal degradation.

The phosphorylation state of MYC provides crucial insights into its functional status, as phosphorylation at T358/T58 works in conjunction with phosphorylation at S62 to control the protein's degradation through the ubiquitin-proteasome pathway. Understanding this phosphorylation is particularly important because abnormal MYC activity is associated with numerous cancers .

What are the main applications of Phospho-MYC (T358) antibodies?

Phospho-MYC (T358) antibodies are versatile tools employed in multiple experimental approaches:

ApplicationDescriptionTypical Dilution
Western Blotting (WB)Detection of denatured phosphorylated MYC in protein extracts1:500-1:5000
Immunohistochemistry (IHC)Visualization of phosphorylated MYC in tissue sections1:100-1:500
Immunofluorescence (IF/ICC)Localization studies in fixed cells1:250-1:500
Proximity Ligation Assay (PLA)Detection of protein modifications and interactions in situVariable based on protocol
ELISAQuantitative measurement in solution~1 μg/mL (optimize as needed)

These applications enable researchers to examine MYC phosphorylation status across different experimental contexts, from protein extracts to intact cells and tissues .

How do I distinguish between phosphorylated and non-phosphorylated MYC in my experiments?

To effectively distinguish phosphorylated from non-phosphorylated MYC:

  • Use antibody pairs: Employ both phospho-specific (recognizing only T358 phosphorylated MYC) and total MYC antibodies (recognizing MYC regardless of phosphorylation status) in parallel samples .

  • Include phosphatase treatment controls: Treat a portion of your sample with lambda phosphatase to remove phosphate groups, which should eliminate signal from phospho-specific antibodies .

  • Use phosphorylation inducers: Compare samples treated with phosphatase inhibitors (like Calyculin A or Okadaic Acid) to enhance phosphorylation signals against untreated controls .

The observed molecular weight of phosphorylated MYC is typically 57-62 kDa, which may differ slightly from the calculated weight of 48-49 kDa due to post-translational modifications .

What are the optimal storage conditions for Phospho-MYC (T358) antibodies?

Proper storage is crucial for maintaining antibody activity:

  • Storage temperature: Store at -20°C or lower

  • Avoid repeated freeze-thaw cycles by making appropriate aliquots

  • Return antibodies to -20°C immediately after use

  • Some formulations contain 50% glycerol, 0.02% sodium azide in PBS (pH 7.3-7.4)

  • For long-term storage (up to 1 year), maintain at -20°C without aliquoting (when specified by manufacturer)

Following these guidelines ensures antibody stability and consistent experimental results over time.

What sample preparation techniques yield optimal results with Phospho-MYC (T358) antibodies?

Effective sample preparation is essential for reliable phospho-protein detection:

  • Cell lysis: Use buffers containing phosphatase inhibitors (such as sodium fluoride, sodium orthovanadate, and β-glycerophosphate) to preserve phosphorylation status

  • Protein extraction: Perform on ice and process samples quickly to minimize phosphatase activity

  • For Western blotting: Use 5% non-fat dry milk in TBST as a blocking solution

  • For immunofluorescence: Fix cells with 4% paraformaldehyde and permeabilize with 0.1% Triton X-100

  • For proximity ligation assays: Follow manufacturer protocols for dual antibody application (typically 1:1200 for rabbit polyclonal phospho-specific antibody and 1:50 for mouse monoclonal total MYC antibody)

These preparation techniques help maintain phosphorylation status and reduce background signal.

How should working dilutions be determined for different applications?

Optimization of antibody dilutions is application-dependent:

ApplicationStarting Dilution RangeOptimization Approach
Western Blot1:500-1:5000Test several dilutions with positive control samples
IHC/ICC/IF1:100-1:500Begin with manufacturer's recommendation and adjust based on signal-to-noise ratio
ELISA~1 μg/mLPerform titration to determine optimal concentration
PLATypically 1:1200 (phospho-specific) and 1:50 (total MYC)Follow kit recommendations initially

Always include appropriate controls when determining optimal dilutions, including positive controls (samples known to express phosphorylated MYC) and negative controls (phosphatase-treated samples) .

What controls should be included when using Phospho-MYC (T358) antibodies?

Robust experimental design requires appropriate controls:

Essential Controls:

  • Positive control: Cell lines known to express phosphorylated MYC (e.g., HeLa cells treated with phosphatase inhibitors)

  • Negative control: Samples treated with lambda phosphatase to remove phosphorylation

  • Loading control: To ensure equal protein loading (e.g., actin, GAPDH)

  • Antibody specificity control: Peptide competition assay using the immunizing phosphopeptide

Advanced Controls:

  • Genetic controls: MYC-knockout or MYC-T358A mutant cells (where threonine is replaced with alanine to prevent phosphorylation)

  • Kinase/phosphatase manipulation: Treatment with specific kinase inhibitors or phosphatase activators that affect MYC phosphorylation

These controls help validate findings and ensure experimental rigor .

How can I validate the specificity of Phospho-MYC (T358) antibodies?

Antibody validation is critical for reliable results:

  • Phosphatase treatment: Signal should diminish or disappear after treatment with lambda phosphatase

  • Phosphorylation induction: Enhanced signal should be observed after treatment with phosphatase inhibitors like Calyculin A (200nM) and Okadaic Acid (1μM)

  • Peptide competition: Pre-incubation of the antibody with the phosphorylated peptide immunogen should block specific binding

  • Western blot profile: The antibody should detect a band at the expected molecular weight (~57-62kDa for phosphorylated MYC)

  • Cross-validation: Compare results with alternative phospho-specific antibodies targeting the same site

These validation approaches ensure that the detected signal genuinely represents phosphorylated MYC protein.

What are common troubleshooting approaches for experiments using Phospho-MYC (T358) antibodies?

When encountering experimental issues:

ProblemPotential CausesSolutions
Weak or no signalDegraded phosphoprotein, insufficient antibodyAdd fresh phosphatase inhibitors, increase antibody concentration, extend incubation time
High backgroundNon-specific binding, excessive antibodyOptimize blocking conditions, reduce antibody concentration, increase washing steps
Multiple bandsCross-reactivity, protein degradationValidate with knockout controls, add protease inhibitors, optimize sample preparation
Inconsistent resultsPhosphorylation status variabilityStandardize cell treatment conditions, control timing of sample collection

Each experimental system may require specific optimization strategies to achieve consistent and reliable results .

How can Proximity Ligation Assay (PLA) be used to study MYC phosphorylation in situ?

PLA offers unique advantages for studying phosphorylated proteins in their cellular context:

The technique involves:

  • Using two antibodies: One targeting the phosphorylated site (rabbit polyclonal anti-phospho-MYC T358) and another recognizing total MYC protein (mouse monoclonal anti-MYC)

  • Secondary antibodies conjugated with oligonucleotides allow signal amplification when the two primary antibodies bind in close proximity

  • Each resulting fluorescent dot represents a single phosphorylated MYC protein

For optimal results:

  • Use the recommended dilutions (typically 1:1200 for rabbit polyclonal and 1:50 for mouse monoclonal antibodies)

  • Analyze images with appropriate software (e.g., BlobFinder from Uppsala University)

  • Include appropriate controls (phosphatase-treated samples as negative controls)

This technique provides spatial information about MYC phosphorylation that cannot be obtained through biochemical methods alone.

What methods can be used to study the dynamics of MYC T358 phosphorylation in relation to cellular processes?

To investigate dynamic phosphorylation events:

  • Time-course experiments:

    • Treat cells with relevant stimuli (growth factors, stress inducers)

    • Collect samples at multiple time points

    • Analyze using Western blotting with phospho-specific and total MYC antibodies

  • Pharmacological manipulation:

    • Use kinase inhibitors (for GSK-3β, which phosphorylates MYC)

    • Apply phosphatase inhibitors (Calyculin A, Okadaic Acid)

    • Compare phosphorylation profiles before and after treatment

  • Cell cycle synchronization:

    • Synchronize cells at different cell cycle phases

    • Analyze MYC phosphorylation status across the cell cycle

    • Correlate with other cell cycle markers

  • Live-cell imaging approaches:

    • Express fluorescently-tagged MYC constructs

    • Use FRET-based biosensors to monitor phosphorylation events in real-time

    • Combine with phospho-specific antibody staining in fixed time points

These approaches provide insights into how MYC phosphorylation is regulated in different cellular contexts .

How does phosphorylation at T358/T58 interact with other post-translational modifications of MYC?

MYC undergoes multiple post-translational modifications that interact in complex ways:

  • Hierarchical phosphorylation: Phosphorylation at Ser62 serves as a priming site for subsequent phosphorylation at Thr58/T358 by GSK-3

  • Phosphorylation-dependent ubiquitination: T58/T358 phosphorylation, together with S62 phosphorylation, is required for ubiquitination by the SCF(FBXW7) complex, leading to proteasomal degradation

  • Regulatory phosphatases: Protein phosphatase 2A (PPP2CA) can dephosphorylate Ser62, promoting MYC degradation, and this interaction is enhanced by AMBRA1

  • Deubiquitinating enzymes: USP28 counteracts ubiquitination in the nucleoplasm by interacting with FBXW7α, while USP36 performs this function in the nucleolus

Understanding these complex interactions is crucial for interpreting experimental results and designing interventions targeting MYC stability and function .

How should quantitative analysis of Phospho-MYC (T358) levels be performed?

For rigorous quantitative analysis:

  • Western blot quantification:

    • Always normalize phospho-MYC signal to total MYC levels

    • Use a linear range of detection (avoid saturated signals)

    • Apply appropriate software (ImageJ, Li-COR Image Studio, etc.)

    • Present data as phospho-MYC/total MYC ratio

  • Immunofluorescence quantification:

    • For PLA: Count dots per cell using appropriate software (e.g., BlobFinder)

    • For standard IF: Measure mean fluorescence intensity in relevant cellular compartments

    • Analyze sufficient cell numbers for statistical validity (typically >100 cells per condition)

  • Statistical considerations:

    • Perform experiments in at least three biological replicates

    • Apply appropriate statistical tests based on data distribution

    • Report both fold changes and absolute values when relevant

These approaches enable reliable comparison of phosphorylation levels across experimental conditions .

How do I interpret discrepancies between results obtained with different phospho-MYC detection methods?

When facing inconsistent results:

What are the emerging technologies for studying MYC phosphorylation beyond traditional antibody-based methods?

Cutting-edge approaches include:

  • Mass spectrometry-based phosphoproteomics:

    • Allows unbiased detection of multiple phosphorylation sites

    • Can identify novel sites and quantify stoichiometry

    • Enables comprehensive mapping of phosphorylation networks

  • CRISPR-based genetic models:

    • Generation of phospho-mutant MYC variants (T358A/T58A)

    • Creation of endogenously tagged MYC for live imaging

    • Development of degradation-resistant MYC mutants

  • Biosensors and live-cell technologies:

    • FRET-based sensors for real-time phosphorylation monitoring

    • Optogenetic tools to spatiotemporally control kinase activity

    • Single-molecule tracking of MYC phosphorylation states

  • Computational modeling:

    • Integration of phosphorylation data with other PTMs

    • Prediction of phosphorylation effects on protein structure and interactions

    • Simulation of phosphorylation dynamics in complex cellular networks

These emerging approaches complement antibody-based detection methods and provide deeper insights into MYC phosphorylation biology.

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