MYOF, also termed FER1L3 or KIAA1207, belongs to the ferlin protein family. It facilitates plasmalemma repair in endothelial cells by enabling rapid resealing of mechanically disrupted membranes . Additionally, MYOF regulates VEGF signal transduction by modulating KDR receptor levels and participates in endocytic recycling pathways . The protein exists in eight isoforms, all detectable by the MYOF Antibody .
Host Species: Rabbit
Isotype: IgG
Reactivity: Human
Conjugation: Unconjugated
Applications:
| Application | Detected Samples | Recommended Dilution |
|---|---|---|
| WB | A549 cells, HeLa cells, human placenta | 1:1000–1:4000 |
| IHC | Human placenta (antigen retrieval: pH 9.0) | 1:50–1:500 |
| IF/ICC | HepG2 cells | 1:200–1:800 |
Rigorous validation using knockout (KO) cell lines—a gold standard per recent antibody reliability studies—confirms specificity . Proteintech’s MYOF Antibody demonstrates consistent performance in multiple assays, aligning with initiatives like YCharOS, which advocate for standardized antibody characterization to address reproducibility crises . Notably, vendors collaborating with such initiatives have withdrawn ~20% of underperforming antibodies and revised usage guidelines for ~40% .
Mechanistic Studies: Used to explore MYOF’s role in VEGF signaling and membrane repair .
Disease Models: Applied in cancer research (e.g., osteosarcoma proliferation studies) and cellular stress responses .
Proteomics: Employed in quantitative proteomic analyses to identify MYOF-interacting proteins like ADAM12 .
Myoferlin (MYOF), also known as FER1L3 and KIAA1207, belongs to the ferlin protein family. In humans, the canonical protein has 2061 amino acid residues with a molecular weight of approximately 234.7 kDa . MYOF plays critical roles in:
Plasmalemma repair mechanisms in endothelial cells
Endocytic recycling pathways
VEGF signal transduction through regulation of KDR receptor levels
Alternative splicing produces 8 different isoforms of this protein, and it is prominently expressed in myoblast and endothelial cells . At the subcellular level, MYOF is localized in the nucleus, cytoplasmic vesicles, and cell membrane .
When selecting a MYOF antibody, consider these methodological factors:
Target epitope location: Determine whether you need an antibody targeting a specific domain or region of MYOF
Application compatibility: Verify the antibody has been validated for your specific application (WB, IHC, IF/ICC, Flow cytometry)
Species reactivity: Ensure the antibody recognizes MYOF in your experimental species
Antibody format: Choose between monoclonal, polyclonal, or recombinant antibodies based on your needs
For example, if studying MYOF in human samples via Western blot, an antibody like Proteintech's 19548-1-AP would be appropriate as it is validated for WB applications and shows reactivity with human samples at a recommended dilution of 1:1000-1:4000 .
To maintain antibody integrity and functionality:
Avoid freeze-thaw cycles: Repeated freezing and thawing significantly degrade antibody quality
Consider aliquoting: For antibodies used frequently, create small aliquots to avoid repeated freeze-thaw cycles
Buffer considerations: Most MYOF antibodies are stored in PBS with additives like sodium azide (0.02%) and glycerol (50%) at pH 7.3
When removing from storage, thaw antibodies on ice and centrifuge briefly to collect liquid at the bottom of the tube before use .
Antibody validation is critical for reproducible research. Implement these methodological approaches:
Positive and negative controls:
Molecular weight verification:
Cross-validation with multiple antibodies:
Test at least two antibodies targeting different epitopes of MYOF
Compare results across different applications (WB, IF, etc.)
Blocking peptide experiments:
A comprehensive validation should document: (i) that the antibody binds to the target protein; (ii) that it binds to the target protein in complex mixtures; (iii) that it doesn't bind to proteins other than the target; and (iv) that it performs as expected under specific experimental conditions .
Given the large size of MYOF (235 kDa), special considerations for Western blotting include:
Gel preparation:
Use low percentage (6-8%) SDS-PAGE gels for better resolution of high molecular weight proteins
Consider gradient gels (4-12%) for improved separation
Transfer conditions:
Employ wet transfer rather than semi-dry for large proteins
Extend transfer time (overnight at low voltage or 2-3 hours at higher voltage)
Add SDS (0.1%) to transfer buffer to improve large protein transfer
Antibody incubation:
Detection optimization:
Expected results:
When troubleshooting immunostaining inconsistencies:
Fixation optimization:
Antigen retrieval enhancement:
Antibody titration:
Background reduction strategies:
Secondary antibody selection:
Choose secondary antibodies that match both host species and isotype of primary MYOF antibody
For fluorescent detection, select appropriate fluorophores based on your microscope configuration
MYOF protein often presents complex banding patterns due to its large size, multiple isoforms, and post-translational modifications:
Multiple band interpretation:
Cell/tissue-specific variations:
Verification approaches:
Use multiple antibodies targeting different MYOF epitopes
Compare results with genomic/transcriptomic data on MYOF isoform expression
Perform siRNA knockdown experiments to confirm specificity of observed bands
Observed molecular weight discrepancies:
Post-translational modifications may cause migration shifts
Different running buffers and gel systems can affect apparent molecular weight
When publishing data, document the exact molecular weights observed, antibody used, and experimental conditions to facilitate reproducibility.
For researchers developing custom MYOF antibodies:
Epitope selection principles:
Target unique, solvent-exposed regions of MYOF
Avoid highly conserved domains if species specificity is desired
Consider amino acid composition (avoid highly hydrophobic sequences)
Target regions distinct from other ferlin family members
Computational design resources:
Validation strategy planning:
Generate multiple antibody candidates against different epitopes
Include both N-terminal and C-terminal targeting antibodies
Design comprehensive validation experiments before production
Testing recommendations:
As noted in literature, "The complexity of optimizing several different antibody attributes using traditional immunization and screening methods has led to intense interest in developing antibody-design methods" .
When facing contradictory results from different MYOF antibodies:
Epitope mapping analysis:
Determine the exact binding sites of each antibody
Consider epitope accessibility in different experimental conditions
Note whether antibodies target different MYOF domains that may be differentially exposed
Methodological standardization:
Implement identical sample preparation protocols for all antibodies
Use consistent experimental conditions (buffers, incubation times, temperatures)
Process samples simultaneously when possible
Comprehensive antibody validation:
Isoform-specific considerations:
Determine if discrepancies arise from isoform-specific detection
Map antibody epitopes to specific MYOF isoforms
Use RT-PCR to correlate isoform expression with antibody detection patterns
Data integration strategies:
Report results from multiple antibodies with transparent documentation of differences
Use orthogonal techniques (qPCR, mass spectrometry) to resolve conflicts
Consider creating a consensus result based on multiple antibodies
"When using antibodies in an experiment, the characterization of the antibody needs to document... that the antibody is binding to the target protein... that the antibody binds to the target protein when in a complex mixture of proteins... that the antibody does not bind to proteins other than the target protein" .
For successful multiplex detection involving MYOF:
Antibody panel design:
Select MYOF antibodies from different host species than other target antibodies
Consider using directly conjugated antibodies to simplify detection
Test for cross-reactivity between all antibodies in the panel
Sequential staining protocol development:
Determine optimal staining sequence (typically start with lowest abundance target)
Implement complete washing steps between antibody applications
Consider signal stripping or quenching for sequential protocols
Spectral considerations:
Choose fluorophores with minimal spectral overlap
Include proper controls for spectral unmixing
Account for tissue autofluorescence, particularly in muscle samples
Validation requirements:
Test each antibody individually before multiplexing
Include single-stained controls alongside multiplex samples
Confirm pattern consistency between single and multiplex staining
Image acquisition optimization:
Adjust exposure times for each channel independently
Consider sequential rather than simultaneous acquisition
Implement appropriate background subtraction methods
MYOF's role in membrane dynamics makes it relevant for exosome research:
Exosome isolation and characterization:
Use MYOF antibodies to assess exosome membrane composition
Implement immunoprecipitation techniques to isolate MYOF-containing exosomes
Compare MYOF content across exosomes from different cell types
Optimization for small vesicle detection:
Use super-resolution microscopy to visualize MYOF on individual exosomes
Consider immunogold labeling for electron microscopy detection
Implement flow cytometry with beads for exosome-bound MYOF detection
Functional studies methodology:
Track MYOF-containing exosomes in recipient cells using labeled antibodies
Employ MYOF antibodies to block potential functional domains on exosomes
Use proximity ligation assays to study MYOF interactions with other proteins
Technical considerations:
Minimize background through careful blocking and antibody dilution
Include detergent controls to distinguish membrane-bound from luminal MYOF
Validate antibody specificity in the context of small vesicles
This application represents an advanced use of MYOF antibodies that requires careful optimization and comprehensive controls.