MYOM1 (myomesin-1) is a 188–190 kDa sarcomeric protein encoded by the MYOM1 gene. It stabilizes the M-band in striated muscles by binding titin, myosin, and light meromyosin, ensuring mechanical stability during contraction . Alternative splicing generates isoforms like EH-myomesin (linked to dilated cardiomyopathy) and Skelemin, which may interact with intermediate filaments .
ab205618: Detects MYOM1 at 188 kDa in mouse muscle lysate and rat heart tissue .
20360-1-AP: Identifies a 190 kDa band in human skeletal muscle, confirming isoform variability .
Both antibodies show cytoplasmic staining in cardiac and skeletal muscles .
Negative controls: No staining observed in non-muscle tissues (e.g., human tonsil) .
Used to investigate MYOM1’s role in dilated cardiomyopathy and myotonic dystrophy type I, where aberrant splicing occurs .
MYOM1 (Myomesin-1) is a major component of the vertebrate myofibrillar M-band that functions as a structural protein connecting myosin and titin in sarcomeres. It binds myosin, titin, and light meromyosin in a dose-dependent manner . As a 188-190 kDa protein, MYOM1 is critical for maintaining sarcomere integrity, making it an important target for muscle biology research. The protein contains structural modules with strong homology to fibronectin type III and immunoglobulin C2 domains arranged in a specific pattern (II-II-I-I-I-I-I-II-II-II-II-II) . Studying MYOM1 is particularly valuable for understanding the molecular architecture of muscle fibers and potentially elucidating mechanisms underlying myopathies and cardiac disorders.
MYOM1 antibodies are available in several formats based on host species, clonality, and production methods:
When selecting an antibody, researchers should consider the specific experimental requirements, including the technique being employed, species cross-reactivity needs, and the required sensitivity level. Recombinant monoclonal antibodies offer the advantage of renewable supply with consistent performance .
Optimal working dilutions vary significantly depending on the application and specific antibody:
For Western blotting, many MYOM1 antibodies show optimal results at higher dilutions (1:20,000) when using heart or skeletal muscle tissue lysates at 20 μg protein loading . For challenging samples, optimization by titration is strongly recommended.
Based on expression patterns, the following tissues are optimal for MYOM1 detection:
Mouse and rat heart tissues consistently show strong expression and are recommended for initial antibody validation experiments . Human skeletal muscle also provides robust signals for immunohistochemical applications .
Proper storage is critical for maintaining antibody functionality:
For long-term storage, aliquot in volumes ≥20 μL and store at -20°C or -80°C to avoid freeze-thaw cycles
For concentrates, consider adding equal volume of glycerol as a cryoprotectant before freezing
Many MYOM1 antibodies are supplied in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3-7.4
Researchers should minimize freeze-thaw cycles, as repeated freezing and thawing can significantly reduce antibody activity and specificity. Proper aliquoting upon first thaw is strongly recommended.
Multiple orthogonal approaches should be employed to ensure antibody specificity:
Western blot with positive/negative controls: Compare heart/skeletal muscle (positive) against tissues with minimal expression like kidney or brain
Knockdown/knockout validation: Use siRNA or CRISPR techniques targeting MYOM1 to demonstrate signal reduction
Immunoprecipitation coupled with mass spectrometry (IP-MS): This approach can identify the target protein, interacting partners, and potential off-targets with high confidence9
Orthogonal antibody testing: Compare results using antibodies targeting different epitopes of MYOM1
RNAseq correlation: Compare protein expression with transcript levels across tissues
A comprehensive validation strategy employing multiple techniques is considered the gold standard. The independent validation approach using orthogonal methods provides the strongest evidence for antibody specificity 9.
Cross-reactivity concerns can be mitigated through several approaches:
Epitope analysis: Select antibodies targeting unique regions of MYOM1 that have minimal sequence homology with related proteins like MYOM2
Blocking peptide experiments: Pre-incubate antibody with immunizing peptide to confirm signal specificity
Multiple antibody validation: Use at least two antibodies targeting different epitopes to confirm localization patterns
Careful selection of negative controls: Include tissues known to express low levels of MYOM1 but potentially high levels of homologous proteins
Species considerations: When testing in non-human models, evaluate sequence homology in the epitope region
The main concerns for cross-reactivity are with other members of the myomesin family, particularly MYOM2, which shares approximately 50% sequence identity in the repeat-containing region .
Working with muscle tissue presents specific challenges:
High protein content: Muscle lysates often require higher dilutions of primary antibody (1:20,000-1:100,000) to prevent background
Tissue processing: Proper fixation is critical - overfixation can mask epitopes in sarcomeric proteins
Antigen retrieval optimization: Different epitopes may require specific retrieval conditions; testing both citrate buffer (pH 6.0) and TE buffer (pH 9.0) is recommended
Sample preparation for Western blotting: Efficient extraction of sarcomeric proteins requires specialized lysis buffers that can solubilize structural proteins
Molecular weight verification: The observed molecular weight can vary from the predicted 188 kDa depending on tissue source and sample preparation
When working with cardiac or skeletal muscle tissues, researchers should optimize protein extraction protocols specifically for sarcomeric proteins, which can be challenging to solubilize completely.
To effectively study protein-protein interactions involving MYOM1:
Co-immunoprecipitation strategy:
Use antibodies validated for immunoprecipitation applications
Consider gentle lysis conditions to preserve protein complexes
Include appropriate controls to distinguish specific from non-specific interactions
Proximity ligation assays (PLA):
Particularly useful for detecting MYOM1 interactions with titin and myosin in intact tissue
Requires antibodies raised in different host species
Pull-down assays with recombinant domains:
Map interaction domains using recombinant fragments of MYOM1
Consider the modular structure of MYOM1 with its immunoglobulin and fibronectin domains
In situ analysis:
Combine immunofluorescence with super-resolution microscopy to visualize co-localization at the M-band
Use dual-labeling techniques with established M-band markers
When designing interaction experiments, researchers should consider that MYOM1 binding to myosin, titin, and light meromyosin is dose-dependent , suggesting potential regulatory mechanisms worth investigating.
When investigating MYOM1 in disease contexts:
Sample selection and preparation:
For cardiac pathologies, consider spatial heterogeneity within diseased hearts
For biopsies, ensure adequate sampling from representative regions
Standardize fixation protocols across all comparison groups
Quantitative analysis approaches:
Normalize MYOM1 expression to appropriate loading controls (tissue-specific considerations)
For densitometry, use multiple exposure times to ensure linearity of signal
Consider using multiple antibodies to confirm expression changes
Interpretation challenges:
Distinguish between primary alterations in MYOM1 and secondary changes due to sarcomere remodeling
Consider post-translational modifications that may affect antibody recognition
Evaluate transcript levels alongside protein expression when possible
Technical controls for disease studies:
Include non-affected tissue regions from the same sample when possible
Age-match controls carefully for developmental studies
Consider using both Western blot and immunohistochemistry to distinguish expression changes from localization changes
Researchers should be particularly careful when interpreting changes in MYOM1 levels or localization in disease states, as altered antibody accessibility or epitope masking could occur in pathological sarcomeric structures.
Although MYOM1 is not typically a focus of ChIP studies as it's not a transcription factor, the principle of immunoprecipitation optimization applies:
Antibody selection:
Protocol optimization:
When studying factors binding to the MYOM1 gene, use appropriate crosslinking conditions
Consider sonication parameters carefully to generate optimal fragment sizes
Include negative control regions and IgG controls
Data analysis considerations:
Normalize ChIP-qPCR data appropriately for primer efficiency
For genome-wide studies, include validation of selected binding regions by ChIP-qPCR
Consider biological replicates to account for variability
When studying transcription factor binding to the MYOM1 gene, researchers have successfully used ChIP-qPCR to validate binding events originally identified in ChIP-on-chip experiments , demonstrating the importance of orthogonal validation in chromatin studies.
For precise localization of MYOM1 within the sarcomere:
Super-resolution microscopy approaches:
STED (Stimulated Emission Depletion) microscopy provides resolution beyond the diffraction limit
STORM/PALM techniques offer single-molecule localization precision
SIM (Structured Illumination Microscopy) provides improved resolution for co-localization studies
Sample preparation considerations:
Thin sectioning (5-10 μm) for muscle tissue is critical
For cultured cardiomyocytes, optimal fixation to preserve sarcomere structure is essential
Appropriate blocking to reduce non-specific binding in muscle tissue
Multi-labeling strategies:
Combine MYOM1 staining with other M-band markers
Use Z-disc markers (e.g., α-actinin) as reference points for sarcomere organization
Consider triple-labeling with titin antibodies recognizing different regions
3D reconstruction approaches:
Z-stack acquisition for complete sarcomere visualization
Deconvolution processing to improve signal-to-noise ratio
Volume rendering for comprehensive structural analysis