Phospho-MEF2C (S387) Antibody

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Description

Biological Function of MEF2C

MEF2C regulates gene expression in muscle, neuronal, and cardiovascular systems. Phosphorylation at S387 modulates its activity, influencing critical cellular processes:

Functional RoleMechanism
Transcriptional ActivationBinds MEF2 elements in muscle-specific genes to control myogenesis .
Neuronal DevelopmentSuppresses excitatory synapses, impacting hippocampal learning and memory .
Cardiovascular MorphogenesisEssential for heart and blood vessel development .
Immune RegulationSupports B-cell survival and germinal center formation .

Post-translational modifications, including phosphorylation and sumoylation, fine-tune MEF2C’s nuclear localization and DNA-binding capacity .

Key Applications

  • Dot Blot: Validated at 0.5 µg/mL for detecting phosphorylated MEF2C .

  • Immunohistochemistry (IHC): Effective at 1:100–1:300 dilution in human tissues .

  • Immunofluorescence (IF): Used to study subcellular localization in neuronal and muscle cells .

Protocol Considerations

  • Blocking: Requires non-phospho-specific peptide pre-adsorption to confirm specificity .

  • Cross-Reactivity: Predicted for pig due to sequence homology .

Notable Research Findings

Studies utilizing this antibody have revealed:

  1. Kinase Interactions: Phosphorylation at S387 by CDK5 enhances MEF2C’s transcriptional activity in neuronal cells .

  2. Neurotoxicity: Caspase-7 cleaves hyperphosphorylated MEF2C under neurotoxic conditions, promoting apoptosis .

  3. Cardiac Development: MEF2C phosphorylation is critical for heart valve formation in zebrafish models .

  4. B-Cell Function: Phosphorylated MEF2C supports antibody class switching to IgG1 in germinal centers .

Validation and Citations

The antibody has been cited in peer-reviewed studies, including:

  • Konig et al. (2004): Identified MEF2C phosphorylation dynamics during muscle differentiation .

  • Maeda et al. (2002): Linked S387 phosphorylation to vascular development pathways .

  • Janson et al. (2001): Demonstrated MEF2C’s role in cortical architecture .

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. Delivery time may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery times.
Synonyms
C5DELq14.3 antibody; DEL5q14.3 antibody; MADS box transcription enhancer factor 2 polypeptide C (myocyte enhancer factor 2C) antibody; MADS box transcription enhancer factor 2, polypeptide C antibody; MEF2C antibody; MEF2C_HUMAN antibody; Myocyte enhancer factor 2C antibody; Myocyte specific enhancer factor 2C antibody; Myocyte-specific enhancer factor 2C antibody; OTTHUMP00000222409 antibody; Similar to MADS box transcription enhancer factor 2 polypeptide C antibody
Target Names
Uniprot No.

Target Background

Function
MEF2C is a transcription activator that binds specifically to the MEF2 element found in the regulatory regions of numerous muscle-specific genes. It plays a crucial role in regulating cardiac morphogenesis, myogenesis, and vascular development. Additionally, MEF2C enhances transcriptional activation mediated by SOX18. In the context of the nervous system, MEF2C is involved in hippocampal-dependent learning and memory by suppressing the number of excitatory synapses, thereby regulating basal and evoked synaptic transmission. Furthermore, it is essential for normal neuronal development, distribution, and electrical activity in the neocortex. MEF2C is also critical for proper development of megakaryocytes and platelets, as well as bone marrow B-lymphopoiesis. It is required for B-cell survival and proliferation in response to BCR stimulation, efficient IgG1 antibody responses to T-cell-dependent antigens, and normal induction of germinal center B-cells. MEF2C may also contribute to neurogenesis and the development of cortical architecture. Isoforms lacking the repressor domain exhibit greater activity compared to isoform 1.
Gene References Into Functions
  1. This study identifies MEF2C as a novel gene responsible for human dilated cardiomyopathy (DCM), providing novel insight into the underlying mechanisms of DCM. These findings hold potential implications for the development of innovative prophylactic and therapeutic strategies for DCM, the most prevalent form of primary myocardial disease. PMID: 28902616
  2. Overexpression of MEF2C was found to decrease the proliferation and migration of vascular smooth muscle cells (VSMCs) induced by miR-448. PMID: 28799067
  3. MEF2C mRNA expression levels in Alzheimer's disease (AD) subjects were found to be significantly lower than those in control subjects, and these levels correlate with disease severity. PMID: 29112298
  4. The study elucidates the regulation mechanism of MIG6, suggesting potential implications for therapeutic strategies targeting gefitinib resistance by inhibiting MEF2C in hepatic cancer cells. PMID: 29714661
  5. This study establishes a novel association between MEF2C loss-of-function mutation and double outlet right ventricle in humans, providing new insights into the molecular pathogenesis of congenital heart diseases. PMID: 29468350
  6. The application of automated 2D nano-scale chromatography coupled with Accumulated ion monitoring achieved subattomolar limits of detection of endogenous proteins in complex biological proteomes. This enabled the quantitation of absolute abundance of the human transcription factor MEF2C at approximately 100 molecules/cell, as well as the determination of its phosphorylation stoichiometry from as little as 1 µg of extracts isolated from 10,000 human cells. PMID: 28821601
  7. The mutation significantly diminished the synergistic activation between MEF2C and GATA4, another cardiac core transcription factor that has been causally linked to Congenital heart disease (CHD). PMID: 29104469
  8. MEF2C expression levels were found to be significantly associated with, and may even be predictive of, the response to glucocorticoid treatment. PMID: 28482719
  9. The MEF2C rs190982 polymorphism plays a role in late-onset Alzheimer's disease in Han Chinese populations. PMID: 27276684
  10. MEF2C mRNA level is up-regulated in both sporadic and SOD1+ ALS patients. PMID: 26921792
  11. The study identified a correlation between MEF2C and CEBPA in chronic myeloid leukemia (CML) disease progression. PMID: 27297623
  12. Single nucleotide polymorphism in the MEF2C gene is associated with major depressive disorder. PMID: 27479909
  13. The analysis consistently identified significant sub-networks associated with the interacting transcription factors MEF2C and TWIST1, genes not previously associated with spontaneous preterm births. Both of these factors regulate processes clearly relevant to birth timing. PMID: 27664809
  14. The study highlights a key role for miR-214 in the modulation of MEF2C-MYOCD-LMOD1 signaling. PMID: 27144530
  15. Endothelial Mef2c regulates the endothelial actin cytoskeleton and inhibits smooth muscle cell migration into the intima. PMID: 28473437
  16. The mRNA expressions of PPP3CB and MEF2C were significantly up-regulated, while CAMK1 and PPP3R1 were significantly down-regulated in mitral regurgitation (MR) patients compared to normal subjects. Moreover, MR patients exhibited significantly increased mRNA levels of PPP3CB, MEF2C, and PLCE1 compared to aortic valve disease patients. PMID: 27907007
  17. Findings suggest that a single introduction of the three cardiomyogenic transcription factor genes (GATA4, cand TBX5) using polyethyleneimine (PEI)-based transfection is sufficient for transdifferentiation of adipose-derived stem cells (hADSCs) towards the cardiomyogenic lineage. PMID: 27553283
  18. Mef2c is highly expressed in the retina where it modulates photoreceptor-specific gene expression. PMID: 28017720
  19. The study provides evidence that Mef2c cooperated with Sp1 to activate human AQP1 transcription by binding to its proximal promoter in human umbilical cord vein endothelial cells, indicating that AQP1 is a direct target of Mef2c in regulating angiogenesis and vasculogenesis of endothelial cells. PMID: 26923194
  20. Data show that microRNA miR-27a is essential for the shift of mesenchymal stem cells (MSCs) from osteogenic differentiation to adipogenic differentiation in osteoporosis by targeting myocyte enhancer factor 2 c (Mef2c). PMID: 27337099
  21. A new MEF2C mutation in MEF2C haploinsufficiency syndrome is described. PMID: 27255693
  22. Long non-coding RNA uc.167 influences cell proliferation, apoptosis, and differentiation of P19 cells by regulating Mef2c. PMID: 27268728
  23. The prenatal identification of 5q14.3 duplication, including MEF2C, is described in a monochorionic twin pregnancy with corpus callosum anomalies, confirmed by autopsy. To the best of our knowledge, this cerebral finding has been observed for the first time in 5q14.3 duplication patients, possibly widening the neurological picture of this scarcely known syndrome. A pathogenetic role of MEF2C overexpression in brain development is suggested. PMID: 26864752
  24. The finding of a jugular pit in this patient facilitated the diagnosis, and he is, to our knowledge, the third case of jugular pit in association with 5q14.3 deletion incorporating the MEF2C locus. PMID: 26426104
  25. MiR-135b-5p and MiR-499a-3p promote cell proliferation and migration in atherosclerosis by directly targeting MEF2C. PMID: 26184978
  26. Early B cell factor-1 (EBF1) was identified as a co-regulator of gene expression with MEF2C. PMID: 26900922
  27. Data show that high myocyte enhancer factor 2C (MEF2C) mRNA expression leads to overexpression of MEF2C protein, and these findings provide the rationale for therapeutic targeting of MEF2C transcriptional activation in acute myeloid leukemia. PMID: 26487643
  28. This is the first report of a Greek-Cypriot patient with a MEF2C-related phenotype, highlighting the rich variability in phenotypic expression and the ethnic diversity associated with this condition. PMID: 25691421
  29. BCL2 inhibitors may be a therapeutic candidate in vivo for patients with ETP-ALL with high expression levels of MEF2C. PMID: 26172269
  30. MEF2C regulates the expression of G2/M checkpoint genes (14-3-3gamma, Gadd45b, and p21) and the sub-cellular localization of CYCLIN B1. PMID: 25789873
  31. The overall effect of MEF2C in hepatocellular carcinoma progression regulation was dictated by its subcellular distribution. PMID: 25328135
  32. The MEF2C/alpha-2-macroglobulin axis functions in endothelial cells as a negative feedback mechanism that adapts sprouting activity to the oxygen concentration, thus diminishing inappropriate and excess angiogenesis. PMID: 24988463
  33. MEF2C and MEF2D interact with the E3 ligase F-box protein SKP2, which mediates their subsequent degradation through the ubiquitin-proteasome system. PMID: 25733682
  34. Single nucleotide polymorphisms in ALDOB, MAP3K1, and MEF2C are associated with cataract. PMID: 25352737
  35. Alternative splicing of the alpha-exon of MEF2C regulates myogenesis. PMID: 25404735
  36. Combinations that resulted in higher protein levels of Mef2c enhanced the reprogramming efficiency of cardiac myocytes. PMID: 25416133
  37. MEF2C binding in inflammatory pathways is associated with its role in bone density. PMID: 24337390
  38. We identified MEF2C as a novel transcription factor that regulates Nampt expression through specific interaction sites at the promoter; its regulatory role was highly dependent on epigenetic modulations, especially under hypoxia conditions. PMID: 23888946
  39. The MEF2 regulatory network is disrupted in myotonic dystrophy cardiac tissue, leading to altered expression of a large number of miRNA and mRNA targets. PMID: 24412363
  40. Results identify redox-mediated protein posttranslational modifications, including S-nitrosylation and sulfonation of a critical cysteine residue in MEF2, as an early event contributing to neuronal damage in Parkinson's disease induced by mitochondrial toxins. PMID: 24290359
  41. Variants at MEF2C were associated with forearm bone mineral density (BMD), implicating this gene in the determination of BMD at the forearm. [meta-analysis] PMID: 23572186
  42. One variant, rs2194025 on chromosome 5q14 near the myocyte enhancer factor 2C MEF2C gene, was associated with retinal arteriolar caliber in meta-analysis. PMID: 23776548
  43. MEF2C alpha- variants are significantly expressed during neuronal cell differentiation, indicating a putative role of these variants in development. PMID: 24008018
  44. Validated miR-223 targets MEF2C and PTBP2 were significantly upregulated in chronic myeloid leukemia samples. PMID: 23174904
  45. Mef2c regulates transcription of the extracellular matrix protein cartilage link protein 1 in the developing murine heart. PMID: 23468913
  46. A targeted search for MEF2C mutations could be applied to patients with a severe intellectual deficiency associated with absence of language and hypotonia, strabismus, and epilepsy. PMID: 23001426
  47. A genetic association study in a population of 1,012 Han women in China suggests that an SNP in MEF2C (rs1366594) is associated with bone mineral density of the lumbar spine and hip joint in aging women. PMID: 22798246
  48. SREBP-1 regulates muscle protein synthesis through the downregulation of the expression of MYOD1, MYOG, and MEF2C factors. PMID: 23226416
  49. Mutations in MEF2C are probably a very rare cause of Rett syndrome. PMID: 22449245

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Database Links

HGNC: 6996

OMIM: 600662

KEGG: hsa:4208

UniGene: Hs.649965

Involvement In Disease
Mental retardation, autosomal dominant 20 (MRD20)
Protein Families
MEF2 family
Subcellular Location
Nucleus. Cytoplasm, sarcoplasm.
Tissue Specificity
Expressed in brain and skeletal muscle.

Q&A

What is MEF2C and why is its S387 phosphorylation significant?

MEF2C (Myocyte-specific enhancer factor 2C) is a transcription activator that binds specifically to the MEF2 element present in regulatory regions of many muscle-specific genes. Beyond muscle development, MEF2C controls cardiac morphogenesis, vascular development, and is crucial for neuronal development. It also plays essential roles in B-lymphopoiesis, being required for B-cell survival and proliferation in response to BCR stimulation . The phosphorylation at S387 is particularly significant as it is one of the key sites phosphorylated by p38 MAPK, alongside threonines 293 and 300, within the MEF2C transactivation domain. This phosphorylation event regulates the transactivation activity of MEF2C and plays an important role in the regulation of c-Jun expression in monocytic cells .

What are the validated applications for Phospho-MEF2C (S387) Antibody?

The primary validated application for this antibody is dot blotting, with a recommended working concentration of 0.5μg per ml . In dot blot analysis, the antibody demonstrates specific recognition of phosphorylated MEF2C at S387, as shown in validation studies where 50ng of phospho-peptide or non-phospho-peptide were adsorbed on nitrocellulose membrane . While not explicitly validated for other applications, researchers may explore its utility in Western blotting, immunoprecipitation, or immunofluorescence with appropriate optimization and validation protocols.

How should I properly store and handle this antibody?

For optimal antibody performance, short-term storage (up to 2 weeks) should be at 2-8°C, while long-term storage requires -20°C in small aliquots to prevent freeze-thaw cycles . The antibody is supplied in PBS with 0.09% (W/V) sodium azide, which helps preserve its activity . When working with the antibody, always use clean pipettes to avoid contamination and make small working aliquots from the stock solution to minimize freeze-thaw cycles, which can degrade antibody performance. The manufacturer indicates a shelf life of 12 months from the date of shipment when stored properly .

How can I validate the specificity of phospho-signal detected with this antibody?

To validate specificity of the phospho-signal, implement multiple complementary approaches:

  • Phosphatase treatment: Treat a portion of your sample with lambda phosphatase to verify signal reduction if it's truly phospho-specific.

  • Peptide competition: Preincubate the antibody with the phosphopeptide used for immunization, which should block specific signal, whereas preincubation with non-phosphorylated peptide should not affect signal detection .

  • Kinase inhibition/activation: Treat cells with p38 MAPK inhibitors to reduce phospho-signal, while treatment with p38 MAPK activators should enhance it, as p38 is the primary kinase for S387 .

  • Mutagenesis studies: Express wild-type MEF2C alongside S387A mutant (which cannot be phosphorylated at this site) to confirm the antibody only detects the wild-type protein following appropriate stimulation.

  • Two-dimensional immunoblot: As demonstrated in research studies, 2D immunoblots can reveal phosphorylation-dependent mobility shifts in MEF2C .

What controls should I include when studying MEF2C phosphorylation?

A robust experimental design for studying MEF2C phosphorylation should include several controls:

Control TypeDescriptionPurpose
Positive ControlCells treated with p38 MAPK activatorsConfirm antibody can detect increased phosphorylation
Negative ControlCells treated with p38 MAPK inhibitors or phosphataseVerify reduction of phospho-specific signal
Loading ControlTotal MEF2C detectionNormalize phospho-MEF2C signal to total protein
Specificity ControlPhosphopeptide competitionConfirm signal is specific to phosphorylated epitope
Technical ControlNon-phosphorylated peptide competitionShould not affect specific signal detection
Biological ControlS387A mutant MEF2C expressionVerify antibody does not detect non-phosphorylatable variant

Always normalize phospho-MEF2C signal to total MEF2C levels to account for variations in protein expression across samples .

What are common troubleshooting issues with phospho-specific antibodies?

When working with phospho-specific antibodies like anti-Phospho-MEF2C(S387), researchers may encounter several common issues:

  • High background: Optimize blocking conditions (test BSA vs. non-fat dry milk), increase washing steps, and adjust antibody concentration from the recommended 1:500 dilution .

  • Loss of phosphorylation during sample preparation: Always prepare samples with phosphatase inhibitors and maintain cold temperature throughout processing to preserve phosphorylation status.

  • Temporal dynamics: Phosphorylation events can be transient. Consider time-course experiments to capture the optimal window for S387 phosphorylation, particularly following BCR stimulation or p38 MAPK pathway activation .

  • Context-dependent phosphorylation: The phosphorylation of S387 depends on cell type and stimulus. For example, BCR stimulation in B cells results in detectable phosphorylation of MEF2C that can be visualized by 2D immunoblot showing multiple phosphorylated forms .

  • Cross-reactivity: Verify specificity through peptide competition assays and consider using additional detection methods to confirm phosphorylation status.

How does p38 MAPK regulate MEF2C phosphorylation?

The p38 MAPK pathway is the primary regulator of MEF2C S387 phosphorylation. When activated, p38 directly phosphorylates MEF2C at three key residues in the transactivation domain: serine 387 and threonines 293 and 300 . This p38-mediated phosphorylation enhances the transcriptional activity of MEF2C. The pathway can be activated by various stimuli including stress, inflammatory cytokines, and specific receptor signaling events such as B-cell receptor (BCR) activation .

In B cells, BCR stimulation leads to phosphorylation of MEF2C, which can be visualized by 2D immunoblot showing the appearance of additional spots representing phosphorylated forms of MEF2C . This phosphorylation is functionally significant, as a phosphorylation-mutant form of MEF2C (P-mut) inhibits BCR-dependent activation of MEF2-dependent reporters, suggesting that phosphorylation is required for proper MEF2C function in the context of BCR signaling .

How does MEF2C phosphorylation relate to B-cell function?

MEF2C plays a critical role in B-cell biology, with its phosphorylation serving as a key regulatory mechanism:

  • B-cell proliferation and survival: MEF2C is required for B-cell survival and proliferation in response to BCR stimulation, with p38 directly phosphorylating MEF2C to drive these processes .

  • Humoral immune response: Mef2c knockout mice exhibit reduced immune responses, specifically with reduced peak IgG1 titers on immunization with T-dependent antigens, demonstrating an approximately 80% reduction in germinal center B cells .

  • BCR signaling transduction: MEF2C acts as a direct transcriptional effector downstream of BCR signaling via the p38 MAPK cascade. Stimulation of the BCR results in phosphorylation of MEF2C, which is required for its function in this pathway .

  • Transcriptional regulation: Gene expression profiling of Mef2c-null B cells showed a decrease in many cell cycle genes, suggesting that MEF2C phosphorylation regulates proliferation in response to BCR stimulation via transcriptional control of cell cycle regulators .

How does MEF2C phosphorylation at different sites interact?

MEF2C is regulated by multiple phosphorylation events at different sites, creating a complex regulatory network:

  • S387, T293, and T300 phosphorylation by p38 MAPK: These sites in the transactivation domain collectively regulate MEF2C's transcriptional activity .

  • S222 phosphorylation by MARK kinases: This site has been identified as a marker of chemotherapy resistance in acute myeloid leukemia (AML) and is phosphorylated by MARK kinases. MARK-induced phosphorylation potentiates MEF2C's transcriptional activity .

  • S59 phosphorylation: This site is constitutively phosphorylated in vivo, probably by casein kinase II, and enhances DNA binding activity of MEF2C .

  • Regulation by BMK1/ERK5: MEF2C is also a substrate for BMK1/ERK5, which regulates MEF2C via somewhat different phosphorylation patterns compared to p38 MAPK .

The interplay between these different phosphorylation events likely allows for fine-tuned regulation of MEF2C activity in response to various stimuli and cellular contexts.

How does MEF2C phosphorylation contribute to disease pathogenesis?

MEF2C phosphorylation has been implicated in several disease processes, particularly in cancer:

  • Chemotherapy resistance in AML: MEF2C S222 phosphorylation has been identified as a specific marker of primary chemoresistance in acute myeloid leukemia patient specimens .

  • Leukemogenesis: While MEF2C phosphorylation appears dispensable for normal hematopoiesis in mice (as established using genome editing), it is required for MLL-AF9 induced leukemogenesis .

  • Leukemia stem cell maintenance: MEF2C phosphorylation has been shown to be required for leukemia stem cell maintenance, suggesting it plays a role in sustaining the disease .

  • Potential therapeutic target: Chemical inhibition of MARK-induced MEF2C phosphorylation has been shown to overcome chemotherapy resistance and exhibit selective toxicity against MEF2C-activated human AML cells, suggesting that targeting MEF2C phosphorylation pathways could be a promising therapeutic strategy .

Researchers investigating these disease connections should consider using patient-derived samples with appropriate controls to correlate phosphorylation status with clinical outcomes.

What experimental approaches can be used to study the impact of S387 phosphorylation on MEF2C interactions?

To investigate how S387 phosphorylation affects MEF2C's molecular interactions, researchers can employ several sophisticated approaches:

  • Phospho-mimetic and phospho-deficient mutants: Generate S387E/D (phospho-mimetic) and S387A (phospho-deficient) MEF2C mutants to study differential protein interactions. These can be expressed in relevant cell types to examine functional consequences .

  • Co-immunoprecipitation studies: Compare protein interaction partners of wild-type versus phospho-mutant MEF2C to identify phosphorylation-dependent interactions.

  • Proximity labeling approaches: Use BioID or APEX2 fused to wild-type or mutant MEF2C to identify proteins that interact with MEF2C in a phosphorylation-dependent manner in living cells.

  • Chromatin immunoprecipitation (ChIP-seq): Compare genome-wide binding patterns of wild-type and mutant MEF2C to identify phosphorylation-dependent changes in DNA binding and chromatin interactions.

  • Protein dimerization analysis: Investigate how phosphorylation affects MEF2C dimerization with other MEF2 family members, as research has shown that MEF2A (another MEF2 family member regulated by p38) can dimerize with MEF2D .

  • Structural studies: Use X-ray crystallography or cryo-EM to determine how phosphorylation affects MEF2C structure and protein-protein interactions.

How can I design experiments to test the functional significance of S387 phosphorylation in specific cell types?

To investigate the cell-type specific functions of MEF2C S387 phosphorylation:

  • CRISPR/Cas9 genome editing: Generate knock-in cell lines or animal models with S387A or S387E mutations to study the effects of blocking or mimicking phosphorylation under endogenous expression conditions.

  • Cell-type specific conditional expression: Use inducible systems to express wild-type or phospho-mutant MEF2C in specific cell types or at specific developmental stages.

  • Functional readouts based on cell type:

    • B cells: Measure proliferation, antibody production, and germinal center formation in response to BCR stimulation .

    • Neuronal cells: Assess synapse formation, synaptic transmission, and memory-related functions .

    • Cardiac cells: Evaluate cardiac morphogenesis and myogenesis .

    • Leukemia cells: Test chemotherapy sensitivity and resistance, cell survival, and leukemic potential .

  • Transcriptomic analysis: Perform RNA-seq on cells expressing wild-type versus S387A MEF2C to identify phosphorylation-dependent target genes in different cellular contexts.

  • Signaling pathway integration: Use specific pathway inhibitors to determine how S387 phosphorylation interacts with other signaling pathways in different cell types.

What mass spectrometry approaches are optimal for analyzing MEF2C phosphorylation patterns?

For comprehensive analysis of MEF2C phosphorylation patterns, researchers should consider these mass spectrometry (MS) approaches:

  • Phospho-enrichment strategies:

    • Immobilized metal affinity chromatography (IMAC)

    • Titanium dioxide (TiO₂) enrichment

    • Phospho-specific antibody immunoprecipitation prior to MS

  • MS acquisition methods:

    • Parallel reaction monitoring (PRM) for targeted quantification of specific phosphorylation sites

    • Data-dependent acquisition (DDA) for discovery of novel phosphorylation sites

    • Data-independent acquisition (DIA) for comprehensive phosphopeptide quantification

  • Fragmentation techniques:

    • Higher-energy collisional dissociation (HCD) combined with electron transfer dissociation (ETD) to improve phosphosite localization

  • Quantitative approaches:

    • SILAC or TMT labeling for relative quantification of phosphorylation across conditions

    • Label-free quantification for comparing phosphorylation stoichiometry

  • Software for phosphosite analysis:

    • MaxQuant with PTM scoring algorithms

    • Skyline for targeted phosphopeptide quantification

    • PTM-specific localization algorithms (e.g., PhosphoRS, Ascore)

When analyzing results, researchers should confirm phosphorylation sites through manual validation of spectra and consider the biological context of identified phosphorylation events.

How can I analyze the temporal dynamics of MEF2C S387 phosphorylation?

To characterize the temporal dynamics of MEF2C S387 phosphorylation:

  • Time-course experiments: Collect samples at multiple time points after stimulation (e.g., BCR activation, p38 MAPK pathway stimulation) to capture the kinetics of phosphorylation and dephosphorylation.

  • Pulse-chase approaches: Use kinase inhibitors to block new phosphorylation events after initial stimulation to determine the stability of the phosphorylation mark.

  • Live-cell imaging approaches:

    • Generate phospho-specific biosensors that change conformation or FRET signal upon S387 phosphorylation

    • Combine with optogenetic control of p38 MAPK activity to precisely control and monitor phosphorylation events

  • Single-cell analysis: Use flow cytometry with phospho-specific antibodies to examine cell-to-cell variability in signaling dynamics.

  • Mathematical modeling: Develop kinetic models of the phosphorylation/dephosphorylation cycle based on experimental data to predict system behavior under different conditions.

  • Integrated multi-omics: Combine phosphoproteomics with transcriptomics at different time points to link phosphorylation events to downstream transcriptional responses.

What are advanced approaches for studying MEF2C phosphorylation in complex biological samples?

For analyzing MEF2C phosphorylation in complex biological samples such as patient specimens or tissue samples:

  • Single-cell phospho-proteomics: Apply single-cell technologies to understand cellular heterogeneity in phosphorylation patterns within complex tissues.

  • Spatial phospho-proteomics: Combine imaging mass spectrometry or spatial transcriptomics with phospho-specific antibodies to map the spatial distribution of MEF2C phosphorylation within tissues.

  • Integrated analysis platforms:

    • Combine phosphoproteomics with genomics and transcriptomics to link genetic alterations to changes in MEF2C phosphorylation

    • Correlate phosphorylation data with clinical outcomes in patient samples

  • Targeted proteomics using multiple reaction monitoring (MRM): Develop sensitive assays for specific phosphopeptides to enable reliable quantification in complex samples.

  • Patient-derived models: Establish patient-derived xenografts or organoids to study MEF2C phosphorylation in a more physiologically relevant context while maintaining the ability to perform controlled experiments.

  • Computational approaches: Apply machine learning algorithms to identify patterns in phosphorylation data and predict functional outcomes or therapeutic responses.

  • Multi-parameter flow cytometry: Combine phospho-specific antibodies with markers for cell type, cell cycle, and other phosphorylation events to obtain a comprehensive view of signaling networks in heterogeneous samples.

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