MYO4 facilitates two primary processes in S. cerevisiae:
Collaborates with adaptor proteins She2p and She3p to transport mRNAs (e.g., ASH1) to the bud tip for localized translation .
MYO4-She3p complexes bind mRNA directly, enabling actin-dependent movement .
Mediates ER tubule extension into daughter cells during budding .
Unlike MYO2 (its paralog), MYO4 is non-essential but enhances transport efficiency under stress .
Deletion: myo4Δ strains show no growth defects under standard conditions but exhibit impaired ER inheritance and mRNA localization .
Overexpression: Causes cell aggregation and cytokinesis defects, likely due to disrupted actin coordination .
| Interaction Partner | Functional Role | Study |
|---|---|---|
| She3p | Adaptor protein linking MYO4 to mRNA cargo | |
| Actin filaments | Track for MYO4-driven motility | |
| ER membranes | Facilitates tubule elongation into buds |
MYO4 diverged from MYO2 after whole-genome duplication, losing cargo-specific domains but retaining motor function .
Retains conserved residues in the motor domain (e.g., ATP-binding pockets) shared with other class V myosins .
Recombinant partial MYO4 is utilized to:
Study mechanochemical properties of myosin motors in vitro.
Investigate mRNA localization mechanisms using reconstituted transport systems .
KEGG: sce:YAL029C
STRING: 4932.YAL029C
Myosin-4 (MYO4) is a class V myosin motor protein in S. cerevisiae that plays essential roles in mRNA transport and localization. Unlike conventional muscle myosins, MYO4 functions as a monomeric motor protein that associates with adapter proteins to transport mRNA to specific cellular locations, particularly during asymmetric cell division.
When working with recombinant MYO4, researchers should consider the following methodological approaches:
Use fluorescence microscopy with GFP-tagged MYO4 to visualize transport dynamics
Employ immunoprecipitation with specific antibodies to identify interaction partners
Conduct in vitro motility assays to assess motor function
S. cerevisiae provides an excellent model system for studying MYO4 because it allows for straightforward genetic manipulation and has a well-characterized genome, making it valuable for extrapolating results to higher eukaryotes including humans .
Partial recombinant MYO4 typically includes only specific domains of interest, most commonly the motor domain or cargo-binding tail region. When conducting research with partial constructs, consider these methodological distinctions:
| Domain | Function | Experimental Applications | Limitations |
|---|---|---|---|
| Motor domain | ATP hydrolysis, actin binding | In vitro motility assays, ATPase activity | Cannot bind cargo or adapters |
| Neck region | Lever arm function, light chain binding | Processivity studies | Limited functional context |
| Tail domain | Cargo binding, protein interactions | Binding partner identification | No motor activity |
| Full-length | Complete native function | Comprehensive in vivo studies | Expression challenges |
To properly interpret results:
Always compare activity parameters between partial and full-length constructs
Include domain-specific controls in binding assays
Consider how domain truncation might affect protein folding and stability
Document the exact amino acid sequences included in your partial construct
The use of partial constructs often provides cleaner experimental systems for specific questions but requires validation with full-length protein for biological relevance .
When designing expression systems for recombinant MYO4, consider these methodological approaches:
Homologous expression in S. cerevisiae:
Use GAL1 promoter-based vectors for inducible expression
Consider integrating constructs at the native locus for physiological expression levels
TAP-tag or His-tag fusions facilitate purification while minimizing interference with function
Heterologous expression:
Baculovirus-insect cell system provides high yields for functional myosins
E. coli expression typically limited to individual domains due to size and complexity
The experimental design should follow systematic optimization:
Clone MYO4 coding sequence into appropriate vectors with suitable tags
Transform into compatible host strains
Test multiple induction conditions (temperature, time, inducer concentration)
Evaluate protein solubility and functionality through pilot purifications
Scale up optimal conditions for preparative expression
Similar to the approach used for recombinant yeast proteins in immunotherapy research, purification protocols must be optimized to maintain protein folding and activity .
Essential controls for MYO4 functional studies:
| Control Type | Purpose | Implementation |
|---|---|---|
| ATPase-deficient mutant | Verify ATP-dependent activities | Introduce E→Q mutation in the P-loop |
| Actin-binding mutant | Confirm actin-dependent functions | Modify actin-binding interface residues |
| Empty vector | Account for background effects | Process identically to MYO4-expressing samples |
| Wild-type cells | Baseline for functional complementation | Include alongside MYO4 mutants |
| Related myosin isoform | Assess specificity of interactions | Express MYO2 under identical conditions |
When designing a randomized block experimental design, consider:
Grouping experiments by protein preparation batch
Randomizing treatment conditions within blocks
Including technical and biological replicates
Blinding analysis where possible
This approach minimizes the impact of batch-to-batch variability and controls for confounding variables that might influence MYO4 activity measurements .
To investigate MYO4's function in mRNA transport, employ these methodological approaches:
In vivo visualization methods:
MS2-GFP system for tracking specific mRNAs in real-time
Dual-color imaging with fluorescently tagged MYO4 and mRNA
FRAP (Fluorescence Recovery After Photobleaching) to measure transport kinetics
Biochemical approaches:
RNA immunoprecipitation (RIP) to identify MYO4-associated transcripts
Proximity labeling (BioID/TurboID) to map the MYO4 interaction network
In vitro reconstitution of the transport complex with purified components
Genetic manipulation strategies:
CRISPR-Cas9 genome editing to create specific MYO4 variants
Anchor-away techniques to conditionally relocalize MYO4
Auxin-inducible degron for rapid protein depletion
These approaches share similarities with the experimental design principles used in Rad52-dependent DNA repair studies, where specific protein functions are isolated through systematic manipulation of the system components .
To investigate the molecular basis of MYO4's cargo selection and regulation, implement these methodological approaches:
Cargo binding characterization:
Generate a library of truncated MYO4 constructs to map binding regions
Perform pull-down assays with potential cargo adapters (She2p, She3p)
Use fluorescence polarization to measure binding affinities
Employ hydrogen-deuterium exchange mass spectrometry to identify interaction interfaces
Regulatory mechanism investigation:
Site-directed mutagenesis of potential phosphorylation sites
In vitro kinase assays to identify regulatory modifications
Phosphomimetic mutations (S→D or S→E) to study constitutive activation
Cryo-EM structural analysis of MYO4 in different nucleotide states
When studying protein-protein interactions, control for non-specific binding by including:
GST-only controls for GST-fusion proteins
Pre-blocked beads in pull-down experiments
Competition assays with unlabeled proteins
This systematic approach allows for detailed characterization of MYO4's interaction network and regulatory mechanisms, similar to approaches used in studies of S. cerevisiae as a model organism for conserved cellular pathways .
Recombinant expression of large motor proteins like MYO4 presents several challenges. Apply these methodological solutions:
Optimize codon usage for the host organism
Test different promoter strengths and induction conditions
Co-express molecular chaperones (Hsp90, Hsp70, GroEL/ES)
Use specialized host strains with enhanced protein expression capabilities
Reduce expression temperature (16-20°C)
Include stabilizing additives (glycerol, low concentrations of non-ionic detergents)
Express as fusion with solubility tags (MBP, SUMO)
Test different buffer compositions during purification
Add protease inhibitor cocktails during all purification steps
Use host strains deficient in specific proteases
Identify and remove flexible regions prone to proteolysis
Optimize purification speed and maintain low temperatures
Similar challenges are encountered when expressing recombinant yeast proteins for immunotherapy applications, where maintaining protein integrity is critical for proper function .
When faced with contradictory results in MYO4 research, apply these methodological approaches:
Systematic analysis of experimental variables:
Compare buffer compositions and reaction conditions
Evaluate protein preparation methods (tags, purification strategies)
Assess expression systems and potential post-translational modifications
Consider isoform-specific differences
Statistical approaches:
Perform meta-analysis of multiple independent studies
Use larger sample sizes to increase statistical power
Apply appropriate statistical tests for your experimental design
Calculate effect sizes rather than relying solely on p-values
Validation through orthogonal methods:
Confirm key findings using different experimental techniques
Combine in vitro biochemical assays with in vivo functional studies
Employ both gain-of-function and loss-of-function approaches
Use CRISPR-Cas9 to create specific mutations at the endogenous locus
This approach to data reconciliation mirrors principles used in experimental design for controlled studies, where systematic variation of parameters helps identify the factors responsible for differing results .
Single-molecule approaches provide unique insights into MYO4 function. Implement these methodological strategies:
Optical tweezers studies:
Attach single MYO4 molecules to polystyrene beads
Measure force generation during interaction with surface-immobilized actin filaments
Determine step size, stall force, and force-velocity relationships
Compare mechanical properties with other myosin classes
Single-molecule TIRF microscopy:
Label MYO4 and actin with different fluorophores
Track movement of individual MYO4 molecules along actin filaments
Measure processivity, run length, and velocity
Analyze the effect of load, nucleotide concentration, and binding partners
Data analysis considerations:
Apply hidden Markov modeling to identify discrete states
Use bootstrapping methods for statistical confidence intervals
Implement drift correction algorithms for long-duration experiments
Analyze dwell times to extract kinetic parameters
| Parameter | Typical Value | Experimental Method | Controls Required |
|---|---|---|---|
| Step size | 30-40 nm | Optical tweezers, FIONA | Rigid attachment verification |
| Velocity | 0.2-1.0 μm/s | TIRF microscopy | ATP concentration series |
| Processivity | 0.5-2 μm | Single-molecule tracking | Salt concentration control |
| Stall force | 1-3 pN | Optical/magnetic tweezers | Motor density verification |
These advanced biophysical approaches provide quantitative insights into MYO4 function similar to techniques used to characterize other motor proteins in model organisms .
CRISPR-Cas9 and other genome editing techniques offer powerful tools for studying MYO4. Implement these methodological strategies:
CRISPR-Cas9 editing for MYO4 modification:
Design sgRNAs targeting specific regions of the MYO4 gene
Prepare repair templates containing desired mutations with homology arms
Transform cells with Cas9, sgRNA, and repair template
Screen transformants for successful editing using sequencing
Validate mutant phenotypes through functional assays
Endogenous tagging strategies:
C-terminal tagging preserves native regulation but may affect cargo binding
N-terminal tagging can interfere with motor function
Internal tagging at flexible loops minimizes functional disruption
Split fluorescent protein approaches for studying protein interactions
Inducible systems for temporal control:
Auxin-inducible degron for rapid protein depletion
Anchor-away system for conditional relocalization
Temperature-sensitive alleles for conditional inactivation
When designing genome editing experiments, consider:
Off-target effects by validating multiple independent clones
Potential impacts on neighboring genes
The need for complementation controls
Phenotypic analysis at both cellular and molecular levels
This approach shares similarities with experimental design principles used in DNA repair studies, where specific mutations are introduced to study protein function in relevant biological contexts .