Vgll2 is a mammalian homolog of the Drosophila vestigial protein that contains specific domains that interact with TEA domain (TEAD) transcription factors. The protein functions in a tissue-specific manner, primarily in skeletal muscle tissues. As a transcription cofactor, Vgll2 contains regions that facilitate protein-protein interactions with transcriptional machinery. For optimal experimental characterization, expressing and purifying different domains separately can help elucidate their specific functions in various assay systems .
Recombinant mouse Vgll2 typically includes tag sequences (such as poly-histidine tags) that facilitate purification and detection but may affect protein folding in certain contexts. When designing experiments, researchers should consider whether to use the full-length protein or specific functional domains based on their experimental goals. If studying interaction with TEAD transcription factors, ensure the relevant binding domains remain accessible and properly folded in the recombinant version .
Similar to other recombinant proteins, Vgll2 stability can be maintained through proper storage protocols. Based on standard practices for similar proteins, recombinant Vgll2 should be stored in a manual defrost freezer, avoiding repeated freeze-thaw cycles that can lead to protein degradation and loss of activity. For long-term storage, aliquoting the protein in single-use volumes is recommended to prevent degradation from repeated thawing and refreezing .
For mammalian transcription factors like Vgll2, bacterial expression systems may yield high quantities but often struggle with proper folding of complex mammalian proteins. For functional studies, mammalian or insect cell expression systems typically produce properly folded and post-translationally modified Vgll2. When conducting experiments requiring high protein purity, researchers should implement multi-step purification protocols including affinity chromatography followed by size exclusion to remove aggregates and ensure homogeneity .
Vgll2 solubility challenges can be addressed through several strategies: (1) Express the protein with solubility enhancing tags like MBP or SUMO; (2) Optimize buffer conditions with stabilizing agents like glycerol (10-15%) and reducing agents to maintain disulfide bonds in their reduced state; (3) Consider expressing functional domains separately if the full-length protein proves difficult to solubilize; (4) Adjust induction conditions including temperature, inducer concentration, and duration to enhance proper folding during expression .
To verify Vgll2 functionality, researchers should assess its ability to interact with TEAD transcription factors using co-immunoprecipitation or pull-down assays. Additionally, electrophoretic mobility shift assays (EMSAs) can demonstrate whether the Vgll2-TEAD complex properly binds target DNA sequences. For more comprehensive analysis, cell-based reporter assays measuring the activation of Vgll2-responsive promoters provide functional validation in a cellular context that more closely reflects physiological conditions .
Vgll2 serves as a cofactor for TEAD transcription factors, forming a complex that regulates the expression of target genes involved in muscle fiber differentiation and metabolism. The interaction occurs through specific binding domains and influences the recruitment of additional transcriptional machinery. To experimentally characterize these interactions, researchers can employ proximity ligation assays, FRET-based techniques, or chromatin immunoprecipitation (ChIP) to identify genomic binding sites. The Vgll2-TEAD complex specifically regulates genes involved in slow-twitch muscle fiber formation by counteracting repressors like Sox6, Sp3, and Purβ .
RNA-Seq analysis of wild-type versus Vgll2 knockout mice has revealed numerous genes regulated by this transcription cofactor. Under sedentary conditions, 196 genes (78 upregulated, 118 downregulated) show differential expression in Vgll2 KO mice compared to wild-type. Following mechanical overload, this expands dramatically to 1,889 differentially expressed genes (1,336 upregulated, 553 downregulated). Key targets include genes involved in:
Muscle fiber type determination
Oxidative metabolism
Mitochondrial function
Contractile protein isoform expression
These findings suggest Vgll2's critical role extends beyond muscle fiber type regulation to broader metabolic adaptations in skeletal muscle .
For successful ChIP-seq experiments with Vgll2:
Use antibodies with verified specificity for Vgll2 or epitope tags on recombinant proteins
Optimize crosslinking conditions (typically 1% formaldehyde for 10 minutes)
Ensure sufficient chromatin fragmentation (200-500bp fragments)
Include appropriate controls (IgG, input chromatin)
Perform sequencing with sufficient depth (≥20 million reads)
Analyze data with established pipelines to identify binding motifs and genomic locations
Since Vgll2 acts as a cofactor rather than direct DNA-binding protein, consider performing sequential ChIP (re-ChIP) experiments to identify regions co-bound by Vgll2 and TEAD factors .
Recombinant Vgll2 can serve as a valuable tool for studying muscle adaptation by:
Developing in vitro models where exogenous Vgll2 is added to myotubes to monitor changes in gene expression profiles
Creating reporter systems to track Vgll2-dependent transcriptional activation during muscle development and adaptation
Performing rescue experiments in Vgll2-deficient systems to confirm specific functions
RNA-Seq data from wild-type and Vgll2 KO mice demonstrates that Vgll2 is essential for proper muscle fiber type transitions in response to mechanical overload, with KO mice showing altered expression patterns of fiber type-specific genes. This suggests recombinant Vgll2 could potentially modulate similar gene expression patterns in experimental models .
Vgll2 regulates fiber type transition through multiple mechanisms:
Repression of slow-fiber repressors (Sox6, Sp3, Purβ) during development
Activation of genes involved in oxidative metabolism
Modulation of contractile protein isoform expression
Regulation of mitochondrial density and function
To determine if your recombinant Vgll2 preparation can recapitulate these effects, researchers should:
Compare gene expression profiles in Vgll2-null myotubes with and without recombinant protein supplementation
Analyze mitochondrial content and function following Vgll2 administration
Assess contractile protein isoform switching using immunoblotting or immunofluorescence techniques
RNA-Seq analysis reveals dramatic differences in gene expression profiles:
| Comparison | Total Differentially Expressed Genes | Upregulated | Downregulated |
|---|---|---|---|
| KO vs WT (sedentary) | 196 | 78 | 118 |
| KO vs WT (mechanical overload) | 1,889 | 1,336 | 553 |
These findings indicate that Vgll2 deficiency significantly amplifies the transcriptional response to mechanical overload, suggesting Vgll2 plays a complex role in muscle adaptation beyond simply promoting a fast-to-slow fiber shift. The dramatic increase in differentially expressed genes under mechanical overload conditions (from 196 to 1,889) suggests Vgll2 may function as both activator and repressor depending on cellular context and loading conditions .
To investigate Vgll2 phosphorylation:
Perform in silico analysis to identify potential phosphorylation sites
Generate phospho-mimetic (Ser/Thr to Asp/Glu) and phospho-null (Ser/Thr to Ala) mutants
Compare the activity of wild-type and mutant proteins in:
Binding assays with TEAD transcription factors
Reporter gene assays measuring transcriptional activity
Cell-based assays examining muscle differentiation or fiber type specification
Employ mass spectrometry to identify actual phosphorylation sites in vivo and in vitro
Use phospho-specific antibodies to track phosphorylation status under different conditions (rest vs. exercise)
Investigating Vgll2 as a therapeutic target requires:
Developing cell-permeable Vgll2-derived peptides that can recapitulate specific functions
Testing recombinant Vgll2 delivery systems (viral vectors, nanoparticles) in muscle atrophy models
Screening small molecules that can enhance endogenous Vgll2 activity or expression
Comparing gene expression profiles between Vgll2-treated and untreated muscle in atrophy models
Assessing functional outcomes including muscle mass, strength, and fiber type composition
RNA-Seq data from Vgll2 studies provides crucial baseline information about which genes and pathways might be targeted in therapeutic approaches. The 1,889 differentially expressed genes identified in Vgll2 KO mice under mechanical overload provide a molecular signature that could be used to evaluate potential therapeutic interventions .
A comprehensive multiomics strategy should include:
Transcriptomics: RNA-Seq to identify Vgll2-dependent gene expression changes
Proteomics: Mass spectrometry to identify Vgll2 interaction partners and assess protein-level changes
Metabolomics: Analysis of metabolic profiles to understand how Vgll2 affects muscle metabolism
Epigenomics: ATAC-Seq and ChIP-Seq to examine chromatin accessibility and histone modifications at Vgll2-regulated loci
Single-cell approaches: scRNA-Seq to identify cell-type specific responses to Vgll2 manipulation
Integration of these datasets requires sophisticated bioinformatics approaches including pathway analysis, network modeling, and machine learning to identify key nodes in the Vgll2 regulatory network. This approach has been particularly informative in understanding how Vgll2 regulates the complex transcriptional networks involved in muscle fiber type specification and adaptation to mechanical stress .
Common challenges and solutions include:
Protein insolubility: Use carrier proteins like BSA or optimize buffer conditions with stabilizing agents
Loss of activity during storage: Store in small aliquots at -80°C with cryoprotectants
Inconsistent results in functional assays: Verify protein quality by SDS-PAGE and activity assays before each experiment
Non-specific interactions: Include appropriate blocking agents and controls in binding studies
Poor antibody recognition: Validate antibodies with positive and negative controls including Vgll2 knockout samples
For recombinant protein preparations, consider using carrier-free formulations for applications where additional proteins might interfere with experimental outcomes .
To address discrepancies between in vitro and in vivo findings:
Consider the cellular context: Muscle cells in culture lack the three-dimensional architecture and mechanical inputs present in vivo
Examine expression levels: Ensure recombinant Vgll2 is used at physiologically relevant concentrations
Account for post-translational modifications: In vitro systems may not recapitulate all modifications present in vivo
Consider temporal dynamics: Acute vs. chronic effects of Vgll2 manipulation may differ
Evaluate compensatory mechanisms: In vivo systems may activate alternative pathways to compensate for Vgll2 manipulation
RNA-Seq data from knockout mice studies show that Vgll2 deficiency has broader effects under mechanical overload than in sedentary conditions, highlighting the importance of considering physiological context when interpreting results .
Essential controls for RNA-Seq experiments include:
Biological replicates: Minimum of 3-4 per condition to account for biological variability
RNA quality controls: RIN scores >8 to ensure RNA integrity
Library preparation controls: Inclusion of spike-in controls to monitor technical variation
Sequencing depth controls: Sufficient depth (>20M reads per sample) for detecting moderately expressed genes
Validation controls: qRT-PCR confirmation of key differentially expressed genes
Phenotypic controls: Correlation of gene expression changes with observable phenotypes
When analyzing Vgll2-dependent gene expression, appropriate statistical thresholds (typically adjusted p-value <0.05 and fold change >1.5) should be applied to identify truly significant changes. These approaches were successfully employed in studies comparing wild-type and Vgll2 knockout mice under both sedentary and mechanical overload conditions .
Single-cell RNA-Seq could reveal:
Cell type-specific responses to Vgll2 manipulation
Temporal dynamics of gene expression during muscle adaptation
Identification of rare cell populations particularly sensitive to Vgll2 function
Cellular communication networks influenced by Vgll2 activity
Distinctions between myonuclear and satellite cell responses
This approach would be particularly valuable in understanding the heterogeneous response to mechanical overload, where Vgll2 has been shown to regulate the expression of 1,889 genes, potentially affecting different muscle cell subpopulations in distinct ways .
Investigating Vgll2 in muscle regeneration requires:
Tracking Vgll2 expression during different phases of muscle injury and repair
Examining the effect of Vgll2 manipulation on satellite cell activation and differentiation
Assessing whether Vgll2 influences the determination of fiber type during regeneration
Exploring potential interactions between Vgll2 and inflammation mediators during repair
Comparing regenerative capacity in wild-type versus Vgll2-deficient muscles
Given Vgll2's established role in muscle differentiation and fiber type specification, it likely plays important but currently uncharacterized roles in the regenerative process and myogenic stem cell fate determination .
To comprehensively characterize muscle-specific and loading-dependent effects:
Compare Vgll2 expression and function across:
Fast-twitch dominant muscles (EDL, gastrocnemius)
Slow-twitch dominant muscles (soleus)
Mixed fiber type muscles (plantaris)
Examine responses to various loading protocols:
Mechanical overload
Endurance exercise
Resistance training
Disuse/unloading
Analyze fiber type transitions using immunohistochemistry for myosin heavy chain isoforms
Correlate transcriptional profiles with functional outcomes