MYEF2 (Myelin Expression Factor 2) functions primarily as a transcriptional repressor of the myelin basic protein gene (MBP). It specifically binds to the proximal MB1 element 5'-TTGTCC-3' of the MBP promoter. Research indicates that its binding to MB1 and subsequent function are inhibited by PURA protein (by similarity) . MYEF2 is predominantly localized in the nucleus, consistent with its role in transcriptional regulation . Recent studies have identified MYEF2 as potentially significant in various cancers, particularly hepatocellular carcinoma (HCC), where its expression is upregulated compared to normal tissues .
MYEF2 antibodies are primarily utilized in Western Blotting (WB), Immunohistochemistry (IHC), and Immunofluorescence (IF) applications . These applications enable researchers to:
Detect and quantify MYEF2 protein expression in tissue samples and cell lines
Visualize subcellular localization (predominantly nuclear)
Examine expression patterns in pathological versus normal tissues
Validate knockdown or overexpression efficiency in functional studies
Verified samples for Western blotting include A172 and TM4 cell lines, while verified samples for immunohistochemistry include human esophageal cancer and liver cancer tissues .
When selecting a MYEF2 antibody, researchers should consider:
Target epitope region: Antibodies targeting different regions (N-terminal, middle region, C-terminal) may yield different results depending on protein conformation or post-translational modifications
Host species: Most available MYEF2 antibodies are rabbit polyclonal antibodies
Cross-reactivity: Some antibodies demonstrate broad species reactivity (human, mouse, rat, dog, cow, etc.), while others have more limited reactivity
Validated applications: Ensure the antibody has been validated for your specific application (WB, IHC, IF)
Clonality: Polyclonal antibodies provide broader epitope recognition but may have batch-to-batch variations
For optimal results, antibodies should be tested at different dilutions within the recommended range (typically 1:500-1:2000 for WB and 1:50-1:200 for IHC) .
For optimal MYEF2 detection via Western blotting:
Protein extraction: Use nuclear extraction protocols as MYEF2 is primarily nuclear-localized
Loading controls: Include appropriate nuclear protein loading controls
Dilution optimization: Test dilutions within the 1:500-1:2000 range to determine optimal signal-to-noise ratio
Molecular weight considerations: While the calculated molecular weight of MYEF2 is approximately 64 kDa, the observed band may differ from expected size due to post-translational modifications
Blocking conditions: Use 5% non-fat milk or BSA in TBST for blocking to minimize background
Incubation time and temperature: Optimize primary antibody incubation (typically overnight at 4°C)
Multiple band interpretation: Be aware that multiple bands may appear if different modified forms of the protein are present simultaneously
When troubleshooting unexpected band patterns, consider post-translational modifications that may affect protein mobility on SDS-PAGE.
For robust immunohistochemistry results with MYEF2 antibodies:
Tissue fixation and processing: Use appropriate fixation methods (typically 10% neutral buffered formalin) and paraffin embedding
Antigen retrieval: Optimize antigen retrieval methods (heat-induced epitope retrieval in citrate buffer pH 6.0 or EDTA buffer pH 9.0)
Blocking endogenous peroxidase: Use 3% hydrogen peroxide for 10 minutes to block endogenous peroxidase activity
Antibody dilution: Test dilutions between 1:50-1:200 to determine optimal concentration
Positive controls: Include verified positive controls such as human esophageal cancer or liver cancer tissues
Negative controls: Include antibody diluent-only controls to assess background staining
Counterstaining: Use appropriate nuclear counterstain (e.g., hematoxylin) to visualize cellular context
Subcellular localization assessment: Confirm nuclear localization pattern consistent with MYEF2 function
Remember that MYEF2 staining should show predominantly nuclear localization as observed in THE HUMAN PROTEIN ATLAS data .
To validate MYEF2 antibody specificity:
Peptide competition assay: Pre-incubate antibody with immunizing peptide before application to confirm specific binding
Knockdown validation: Perform siRNA knockdown of MYEF2 and confirm reduced signal intensity by Western blot
Overexpression validation: Transfect cells with MYEF2 expression plasmids and confirm increased signal intensity
Multiple antibody comparison: Use antibodies targeting different epitopes of MYEF2 to confirm consistent localization and expression patterns
Cross-species validation: Test antibody in species with high sequence homology to confirm expected patterns
Multiple technique validation: Confirm findings using complementary techniques (e.g., verify WB results with IHC or IF)
Researchers have successfully validated MYEF2 antibody specificity using siRNA knockdown in SK-HEP-1 and Hep 3B2.1-7 cells, as well as plasmid-based overexpression in PLC/PRF/5 cells .
When analyzing Western blot results for MYEF2:
Multiple bands interpretation: The observed molecular weight of MYEF2 may differ from the calculated 64 kDa due to:
Post-translational modifications (phosphorylation, glycosylation)
Alternative splicing variants
Proteolytic processing
Protein-protein interactions affecting mobility
Tissue/cell-specific variations: Different cell types may express different MYEF2 isoforms or post-translationally modified variants
Experimental conditions affecting band patterns:
Sample preparation methods (denaturing vs. native conditions)
Buffer composition
Gel percentage
Running conditions
Verification strategies:
Use multiple antibodies targeting different epitopes
Compare with recombinant MYEF2 protein controls
Perform phosphatase treatment to identify phosphorylation-dependent bands
The observation that "the actual band is not consistent with the expectation" is a documented phenomenon with MYEF2 antibodies , likely due to these factors.
When studying MYEF2 in disease contexts, include:
Tissue/cell controls:
Technical controls:
Isotype controls to assess non-specific binding
Secondary antibody-only controls
Blocking peptide controls
Expression validation controls:
Functional controls:
MYEF2 knockdown cells
MYEF2 overexpression cells
Transcriptional activity assays (for repressor function)
In HCC studies, researchers should consider comparing MYEF2 expression across different tumor stages, grades, and patient survival outcomes as demonstrated in The Cancer Genome Atlas analyses .
To study MYEF2's transcriptional repressor function:
Chromatin Immunoprecipitation (ChIP):
Use MYEF2 antibodies to immunoprecipitate DNA-protein complexes
Analyze binding to MB1 element (5'-TTGTCC-3') in the MBP promoter
Identify novel genomic binding sites through ChIP-seq
Co-immunoprecipitation (Co-IP):
Identify protein interaction partners using MYEF2 antibodies
Investigate the relationship with PURA, which inhibits MYEF2 binding and function
Luciferase reporter assays:
Construct reporters containing MBP promoter elements
Measure transcriptional repression upon MYEF2 overexpression
Assess the impact of mutations in the MB1 element
Immunofluorescence co-localization:
Examine nuclear co-localization with transcriptional machinery components
Visualize dynamic changes in localization during cell differentiation or stress conditions
Proximity ligation assays:
Detect and quantify interactions between MYEF2 and other transcriptional regulators in situ
These approaches can help elucidate the molecular mechanisms underlying MYEF2's role as a transcriptional repressor.
To investigate MYEF2 post-translational modifications:
Phospho-specific antibodies:
2D gel electrophoresis with Western blotting:
Separate proteins by both isoelectric point and molecular weight
Detect MYEF2 isoforms with different modification patterns
Phosphatase treatment:
Treat samples with phosphatases before Western blotting
Compare band patterns before and after treatment
Mass spectrometry validation:
Immunoprecipitate MYEF2 using specific antibodies
Analyze post-translational modifications by mass spectrometry
Functional correlation studies:
Correlate phosphorylation status with MYEF2 transcriptional repressor activity
Examine the impact of kinase inhibitors on MYEF2 function and localization
The availability of phospho-specific MYEF2 antibodies (pThr319, pSer408, Ser890) enables detailed investigation of how phosphorylation regulates MYEF2 function.
For comprehensive investigation of MYEF2 in cancer:
Expression correlation with clinicopathological features:
Use IHC to analyze MYEF2 expression across different cancer stages and grades
Correlate expression with patient survival data
Develop scoring systems based on staining intensity and distribution
Functional validation through genetic manipulation:
Phenotypic assays with molecular correlation:
Therapeutic response prediction:
Evaluate MYEF2 expression before and after treatment
Correlate expression patterns with treatment response
Develop predictive models integrating MYEF2 with other biomarkers
In HCC research, MYEF2 expression correlates with advanced disease stage (stage 2-4), poor differentiation (G3-G4), and worse survival outcomes (OS and DSS), suggesting its potential as a prognostic biomarker .
For optimal immunofluorescence studies:
Fixation method optimization:
Compare paraformaldehyde, methanol, and acetone fixation
Optimize fixation time to preserve epitope accessibility while maintaining cellular architecture
Permeabilization conditions:
Test different permeabilization agents (Triton X-100, saponin)
Optimize concentration and duration to ensure nuclear penetration
Co-localization studies:
Pair MYEF2 antibodies with markers of nuclear compartments
Use confocal microscopy for precise localization analysis
Signal amplification:
Consider tyramide signal amplification for low-abundance detection
Optimize antibody concentration to maximize signal-to-noise ratio
Spectral considerations:
Choose fluorophores with minimal spectral overlap when multiplexing
Include single-color controls for spectral unmixing
Image acquisition settings:
Standardize exposure settings across experimental conditions
Use Z-stacking to capture the full nuclear volume
Apply deconvolution for improved resolution
Quantitative analysis:
Develop consistent methods for quantifying nuclear MYEF2 intensity
Correlate intensity with functional outcomes
Researchers should note that MYEF2 displays predominantly nuclear localization, consistent with its function as a transcriptional regulator .
Research findings on MYEF2 in HCC reveal:
These findings suggest MYEF2 may serve as both a diagnostic and prognostic biomarker for HCC, with potential implications for personalized treatment approaches.
To resolve contradictory findings:
Methodological standardization:
Use standardized antibody validation protocols
Implement consistent scoring systems for expression analysis
Apply uniform sample processing procedures
Context-dependent analysis:
Acknowledge tissue-specific roles of MYEF2
Consider microenvironmental factors influencing expression
Evaluate expression in relation to cellular differentiation state
Integrated multi-omics approach:
Correlate protein expression (antibody-based) with mRNA levels
Incorporate mutation and copy number analysis
Consider epigenetic regulation mechanisms
Biological validation:
Perform functional studies in multiple cell lines
Use in vivo models to validate in vitro findings
Apply CRISPR/Cas9 technology for precise genetic manipulation
Meta-analysis frameworks:
Systematically review existing literature
Apply statistical methods to address heterogeneity
Consider publication bias in data interpretation
While ONCOMINE data shows MYEF2 upregulation in colorectal cancer, leukemia, liver cancer, melanoma, and ovarian cancer, it also shows downregulation in other cancer types , highlighting the importance of context-specific analysis.
Emerging applications include:
Single-cell protein analysis:
Mass cytometry (CyTOF) incorporating MYEF2 antibodies
Single-cell Western blotting for heterogeneity assessment
Microfluidic antibody capture for protein quantification
Spatial proteomics:
Multiplexed immunofluorescence with MYEF2 antibodies
Imaging mass cytometry for spatial protein mapping
Co-detection by indexing (CODEX) for multiplexed protein visualization
Integrated multi-modal analysis:
Paired single-cell transcriptomics and proteomics
Spatial transcriptomics with protein validation
In situ sequencing with protein co-detection
Computational integration:
Algorithms for correlating spatial protein and RNA data
Machine learning approaches for pattern recognition
Trajectory analysis incorporating MYEF2 expression dynamics
Functional spatial biology:
Photactivatable antibodies for region-specific manipulation
Optogenetic control coupled with MYEF2 detection
Spatial analysis of transcription factor networks
These approaches could reveal previously unrecognized heterogeneity in MYEF2 expression and function within tumors, potentially identifying specialized cellular niches or transition states relevant to cancer progression.
When facing methodological discrepancies:
Orthogonal validation approach:
Compare protein detection (antibody-based) with mRNA analysis (qPCR)
Validate findings using multiple antibodies targeting different epitopes
Confirm results with alternative detection technologies (mass spectrometry)
Technical validation:
Implement standardized positive and negative controls
Perform replicate experiments under identical conditions
Use alternative sample preparation methods
Biological validation:
Quantitative assessment:
Apply objective scoring systems for IHC
Use digital image analysis for standardized quantification
Implement statistical approaches to evaluate significance of differences
Metadata documentation:
Record detailed experimental conditions
Document antibody information (lot number, age, storage conditions)
Maintain comprehensive protocol records
To optimize antibody performance:
Storage conditions:
Aliquoting strategy:
Prepare small single-use aliquots to avoid freeze-thaw cycles
Use sterile conditions when preparing aliquots
Label with date, concentration, and lot number
Freeze-thaw management:
Working dilution preparation:
Prepare fresh working dilutions for each experiment
Use high-quality diluents (filtered, sterile)
Include appropriate preservatives for extended use
Shipping and receiving:
Record-keeping:
Document performance across different applications and conditions
Track lot-to-lot variations
Maintain validation data for reference