MRAS (Muscle RAS Oncogene Homolog) is a small GTPase encoded by the MRAS gene on chromosome 3q22.3. Its protein product plays a pivotal role in signal transduction, regulating pathways like MAPK (mitogen-activated protein kinase) and PI3K/AKT, which influence cell proliferation, survival, and differentiation . MRAS is structurally similar to canonical Ras proteins (e.g., HRAS, KRAS) but exhibits distinct tissue-specific expression, with high levels in the brain, heart, and skeletal muscle .
Western Blotting: Used to confirm MRAS expression in cellular models and assess post-translational modifications .
Immunocytochemistry: Visualizes MRAS localization in fixed cells, aiding studies of subcellular trafficking .
Pathway Analysis: Facilitates investigation of MRAS's role in MAPK activation and its interaction with the SHOC2-MRAS-PP1c complex .
MRAS forms the SHOC2-MRAS-PP1c (SMP) holophosphatase complex, which dephosphorylates inhibitory residues on RAF1, BRAF, and ARAF kinases, thereby enhancing MAPK signaling . Mutations in MRAS (e.g., p.Gly23Val) lead to constitutive activation of this pathway, implicated in Noonan syndrome (NS) and cardiac hypertrophy .
Noonan Syndrome: Activating MRAS mutations correlate with severe cardiac hypertrophy, underscoring its role in developmental cardiomyopathy .
Coronary Artery Disease: A multi-locus risk score study identified MRAS as a susceptibility locus for CAD, with potential implications for statin therapy optimization .
MRAS antibodies are instrumental in studying therapeutic targets. For example, inhibitors of the MAPK pathway (e.g., MEK inhibitors) may offer therapeutic strategies for MRAS-driven pathologies .
MRAS (muscle RAS oncogene homolog), also known as M-ras, RRAS3, or ras-related protein M-Ras, is a 23.8-24 kDa protein that functions as a signal transducer in the Ras-MAPK signaling pathway regulating cell proliferation and survival . It serves as a core component of the SHOC2-MRAS-PP1c (SMP) holophosphatase complex that regulates MAPK pathway activation . MRAS is particularly significant in research due to its role in the formation of the SMP complex when MRAS is GTP-bound, and its involvement in dephosphorylating inhibitory phosphorylation sites on RAF1, BRAF, and ARAF kinases, thereby stimulating their activities . Recent research has also linked MRAS mutations to Noonan syndrome with cardiac hypertrophy, establishing it as an important research target in developmental disorders .
MRAS antibodies are employed in multiple research applications including:
| Application | Typical Dilutions | Sample Types |
|---|---|---|
| Western Blot (WB) | 1:500-1:1000 | Human, mouse, and rat brain tissues |
| Immunoprecipitation (IP) | 0.5-4.0 μg for 1.0-3.0 mg of protein lysate | Brain tissue |
| Immunofluorescence (IF) | Application-dependent | Human and rodent samples |
| ELISA | Application-dependent | Various |
| Immunohistochemistry (IHC-P) | Variable based on antibody | Human and mouse tissues |
Researchers should note that each antibody may have optimal conditions that should be titrated in specific testing systems to obtain optimal results . The antibodies have demonstrated particular efficacy in detecting MRAS in brain tissue samples across species .
When selecting an MRAS antibody, consider:
Target specificity: Determine whether you need an antibody that recognizes specific domains or phosphorylation states of MRAS. Some antibodies target the C-terminal region while others may recognize full-length protein .
Host species and antibody type: MRAS antibodies are available as rabbit polyclonal, rabbit monoclonal, and other formats. Consider potential cross-reactivity issues based on your experimental model .
Validated applications: Verify that the antibody has been validated for your intended application (WB, IP, IF, IHC) .
Species reactivity: Ensure the antibody recognizes MRAS in your species of interest. Available antibodies show reactivity with human, mouse, and rat samples .
Published validation data: Review validation galleries and publications that have successfully used the antibody for similar applications .
The extensive range of available products (over 200 across multiple suppliers) necessitates careful review of validation data before selection .
For optimal MRAS detection by Western blot:
Tissue selection: Brain and lung tissues consistently show detectable levels of MRAS expression .
Lysis buffer composition: For MRAS protein extraction, use buffer with adequate detergent concentration (typically containing NP-40 or Triton X-100) to solubilize membrane-associated proteins.
Protein amount: Load 20-40 μg of total protein lysate per lane for cell lines and 30-50 μg for tissue samples.
Antibody dilution: For established antibodies like 14213-1-AP, use at 1:500-1:1000 dilution . For other antibodies, follow manufacturer recommendations or optimize through titration.
Blocking conditions: 5% non-fat milk or 3-5% BSA in TBST is typically effective.
Detection system: Enhanced chemiluminescence (ECL) systems provide sufficient sensitivity for MRAS detection in most samples.
Controls: Include positive controls (known MRAS-expressing tissues like brain) and negative controls (tissues with low MRAS expression or MRAS-knockout samples).
The expected molecular weight for MRAS is 24 kDa, which should be confirmed during analysis .
For optimized MRAS immunoprecipitation in protein-protein interaction studies:
Antibody selection: Choose antibodies validated for IP applications, such as those that have demonstrated successful IP in mouse brain tissue .
Antibody amount: Use 0.5-4.0 μg of antibody per 1.0-3.0 mg of total protein lysate .
Lysis conditions: Use mild lysis buffers containing 0.5-1% NP-40 or Triton X-100 to preserve protein-protein interactions.
Pre-clearing: Pre-clear lysates with protein A/G beads to reduce non-specific binding.
Incubation conditions: Incubate antibody with lysate overnight at 4°C with gentle rotation.
Washing stringency: Employ multiple washes with decreasing detergent concentrations to remove non-specific interactions while preserving genuine interactions.
Elution conditions: For functional assays, consider native elution using competitive peptides; for mass spectrometry analysis, use more denaturing conditions.
Controls: Always include IgG control immunoprecipitations and input samples for comparison.
When studying MRAS in the context of the SMP complex, consider cross-linking approaches to stabilize transient interactions .
When studying MRAS expression in disease models:
Model selection: For Noonan syndrome research, cardiac and developmental models are particularly relevant given MRAS's role in cardiac hypertrophy .
Expression level changes: Monitor both total MRAS expression and activation state (GTP-bound form).
Spatial distribution: Use immunohistochemistry to track tissue-specific expression patterns, particularly in brain, heart, and developmental tissues .
Temporal dynamics: Plan time-course experiments to capture dynamic changes in MRAS expression during disease progression.
Parallel signaling pathways: Concurrently assess related proteins in the Ras-MAPK pathway using multiplexed approaches:
| Pathway Component | Relationship to MRAS | Detection Method |
|---|---|---|
| SHOC2 | SMP complex partner | Co-immunoprecipitation, co-localization |
| PP1c | SMP complex partner | Co-immunoprecipitation, phosphatase assays |
| RAF kinases (RAF1, BRAF, ARAF) | Downstream effectors | Phospho-specific antibodies |
| ERK1/2 | Pathway output | Phospho-ERK1/2 antibodies |
Experimental controls: Include appropriate genotypic controls (wild-type vs. mutant) and treatment controls (pathway inhibitors or activators) .
Validation approaches: Validate antibody-based findings with complementary techniques like RNA expression analysis or genetic manipulation .
When encountering non-specific binding or high background:
Antibody validation: Verify antibody specificity using positive and negative controls, including MRAS-knockout or knockdown samples.
Blocking optimization: Test different blocking agents (BSA, non-fat milk, commercial blockers) and concentrations (3-5%).
Antibody dilution: Further dilute the primary antibody; for example, extend the range from 1:500-1:1000 to 1:2000-1:5000 if signal is strong .
Washing protocol enhancement: Increase washing duration or number of washes using TBS-T (0.1-0.3% Tween-20).
Secondary antibody considerations: Use highly cross-adsorbed secondary antibodies and consider fluorescent secondaries for more quantitative results.
Sample preparation improvements: For tissues with high lipid content (e.g., brain), additional delipidation steps may reduce background.
Epitope competition: If available, pre-incubate the antibody with the immunizing peptide as a specificity control.
Non-specific bands may appear in Western blots of brain tissues due to splice variants or post-translational modifications. These patterns should be documented and consistent between experiments .
To distinguish MRAS signals from other RAS family proteins:
Antibody epitope selection: Prefer antibodies generated against unique regions of MRAS that have minimal homology with other RAS family members .
Expression pattern analysis: Compare the expression pattern with known tissue distribution of MRAS (high in brain and lung) versus other RAS proteins .
Molecular weight differentiation: MRAS has a distinctive molecular weight of 24 kDa, which can help differentiate it from other RAS proteins .
Genetic validation: Use siRNA/shRNA knockdown or CRISPR knockout of MRAS to confirm specificity.
Immunodepletion experiments: Sequential immunoprecipitation with antibodies against different RAS proteins can help identify cross-reactivity.
Parallel analysis: Run samples on parallel blots probed with antibodies specific to different RAS family members.
Activated state detection: Use GTP-loading assays specific for MRAS to distinguish functional activity from other RAS proteins.
The sequence homology between MRAS and other RAS family members requires rigorous validation to ensure specificity of signals, particularly in systems where multiple RAS proteins are expressed .
For accurate quantification of MRAS expression or activation:
Standard curve generation: Include recombinant MRAS protein standards for absolute quantification.
Internal loading controls: Use housekeeping proteins (β-actin, GAPDH) appropriate for your tissue/cell type.
Normalization approaches:
For total MRAS: Normalize to loading controls and total protein
For activated MRAS: Express as ratio of GTP-bound to total MRAS
Quantitative techniques: Consider these approaches:
| Technique | Advantages | Limitations |
|---|---|---|
| Western blot densitometry | Widely accessible | Limited dynamic range |
| ELISA | High throughput | Requires validated antibody pairs |
| Immunofluorescence quantification | Spatial information | Challenging standardization |
| Mass spectrometry | High specificity | Technically demanding |
Activation-specific measurements: For GTP-bound MRAS, use active RAS pull-down assays with GST-RBD (RAS-binding domain).
Technical replicates: Include at least three technical replicates for statistical robustness.
Biological replicates: Analyze multiple independent biological samples (different animals/cell preparations).
Dynamic range verification: Ensure measurements fall within the linear range of detection.
Targeted mass spectrometry approaches have been developed for RAS network proteins and may provide more accurate quantification for challenging samples .
To study the SMP complex effectively:
Co-immunoprecipitation optimization: Use antibodies against MRAS to pull down the complex, then probe for SHOC2 and PP1c:
Proximity ligation assays (PLA): Detect in situ protein-protein interactions between MRAS and SHOC2 or PP1c in intact cells.
FRET/BRET approaches: Monitor real-time complex dynamics using fluorescence/bioluminescence resonance energy transfer between tagged components.
Immunofluorescence co-localization: Track subcellular distribution of complex components under different cellular conditions.
Antibody accessibility experiments: Probe whether antibody epitopes become masked when the complex forms.
Mutational analysis: Compare complex formation between wild-type and mutant MRAS (e.g., G23V mutation associated with Noonan syndrome) .
Phosphatase activity correlation: Link complex formation to dephosphorylation of RAF kinases at specific inhibitory sites (Ser-259 of RAF1, Ser-365 of BRAF, Ser-214 of ARAF) .
Understanding this complex is particularly important since MRAS mutations that affect SMP complex formation have been linked to human developmental disorders .
For investigating MRAS in Noonan syndrome:
Patient-derived samples: Analyze MRAS expression and activation in:
Mutation-specific assays: Compare wild-type versus mutant (e.g., G23V) MRAS:
Downstream signaling analysis: Monitor phosphorylation of RAF kinases and ERK1/2 using phospho-specific antibodies:
Cardiac phenotype correlation: Link molecular findings to cardiac abnormalities:
Cardiomyocyte hypertrophy markers
Sarcomere organization
Ca²⁺ handling proteins
Combinatorial antibody applications: Use multiple antibody-based methods:
| Method | Application in Noonan Syndrome Research |
|---|---|
| Immunohistochemistry | Cardiac tissue analysis for pathological changes |
| Phospho-flow cytometry | Quantitative single-cell signaling analysis |
| Tissue microarrays | High-throughput screening of multiple tissues |
| ChIP-seq (with phospho-specific antibodies) | Identify transcriptional targets affected by altered MAPK signaling |
Developmental staging: Track MRAS expression and activity through developmental stages relevant to Noonan syndrome manifestations .
Therapeutic monitoring: Use antibody-based assays to evaluate responses to targeted therapies (e.g., MEK inhibitors).
These approaches can help establish genotype-phenotype correlations and identify potential therapeutic targets for MRAS-mediated Noonan syndrome .
Mass spectrometry and antibody approaches can be integrated for comprehensive MRAS analysis:
Immunoprecipitation-mass spectrometry (IP-MS):
Targeted mass spectrometry approaches:
Immuno-MRM assays:
PTM mapping:
Verification of antibody specificity:
Confirm that antibody-detected bands contain MRAS peptides
Identify potential cross-reacting proteins
Integrative workflows:
| Stage | Antibody Role | Mass Spectrometry Role |
|---|---|---|
| Discovery | Detection of MRAS presence | Identification of modifications and interactions |
| Verification | Enrichment of target | Specific peptide quantification |
| Biological validation | In situ localization | Molecular characterization |
| Clinical translation | Rapid screening assays | Detailed molecular profiling |
The RAS Initiative has developed a suite of antibody reagents that work synergistically with mass spectrometry approaches for comprehensive analysis of RAS network proteins, including MRAS .
Current challenges and emerging solutions include:
Epitope selection challenges:
High homology between RAS family members limits unique epitopes
Solutions: Focus on hypervariable regions or conformational epitopes specific to MRAS
Isoform and modification specificity:
Detecting specific modifications (e.g., GTP-bound state)
Solutions: Generate conformation-specific antibodies using stabilized MRAS-GTP as immunogen
Production challenges:
Validation requirements:
Emerging technologies:
Novel formats:
Bispecific antibodies targeting MRAS and binding partners
Intrabodies that can detect active MRAS inside living cells
Antibody-based biosensors for real-time MRAS activation monitoring
Reproducibility considerations:
Batch-to-batch variation affects reliability
Solutions: Recombinant antibody production with sequence verification
The RAS Initiative's systematic approach to antibody development provides a model for generating well-validated reagents for studying MRAS and other RAS family proteins .
Antibody-based approaches for therapeutic targeting of MRAS include:
Diagnostic companion tools:
Antibodies that detect MRAS activation state
Patient stratification based on MRAS expression patterns
Monitoring treatment response in clinical trials
Intracellular antibody fragments:
Cell-penetrating antibody fragments that disrupt MRAS-effector interactions
Transbodies targeting specific conformations of MRAS
Intrabodies expressed from gene therapy vectors
Targeted protein degradation:
PROTAC-antibody conjugates to induce MRAS degradation
Lysosome-targeting antibody conjugates
Disruption of the SMP complex:
Combination therapy approaches:
Antibody tools to identify synergistic targets in the MAPK pathway
Monitoring compensatory mechanisms during RAS-targeted therapy
Technology integration:
| Antibody Technology | Therapeutic Potential for MRAS |
|---|---|
| Bispecific formats | Simultaneously target MRAS and downstream effectors |
| Antibody-drug conjugates | Deliver cytotoxic agents to cells with abnormal MRAS activation |
| CAR-T approaches | Target cells with surface markers correlated with MRAS activation |
| Nanobody-based inhibitors | Block specific MRAS interactions inside cells |
Developmental disorder applications:
While direct targeting of intracellular MRAS remains challenging, antibody tools continue to advance our understanding of therapeutic vulnerabilities in MRAS-driven diseases .
Emerging techniques for MRAS imaging include:
Super-resolution microscopy:
STORM/PALM imaging with MRAS antibodies for nanoscale localization
SIM for dynamic membrane interactions of MRAS
Lattice light-sheet microscopy for 3D visualization of MRAS trafficking
Live-cell imaging approaches:
Fluorescent intrabodies (genetically encoded antibody fragments)
Antibody-based biosensors that change fluorescence upon MRAS activation
SNAP/CLIP-tag fusions validated with antibody colocalization
Spatial omics integration:
Combining in situ hybridization with MRAS immunofluorescence
Correlative light and electron microscopy for ultrastructural context
Multiplexed ion beam imaging (MIBI) for simultaneous detection of dozens of MRAS pathway components
Advanced tissue analysis:
Tissue clearing techniques with MRAS antibody penetration
Expansion microscopy for physical magnification of MRAS-containing structures
3D organ-wide mapping of MRAS distribution
Proximity-based methods:
BioID or APEX2 proximity labeling validated with antibody detection
Split-fluorescent protein complementation verified with MRAS antibodies
Three-dimensional interaction mapping in intact cells
Quantitative approaches:
| Technique | Application to MRAS Research |
|---|---|
| FRET-FLIM | Measure MRAS-effector interactions with spatiotemporal precision |
| Single-molecule tracking | Follow individual MRAS molecules in living cells |
| Spatial transcriptomics with protein detection | Correlate MRAS protein localization with local gene expression |
| FIB-SEM with immunogold labeling | Ultrastructural localization of MRAS at membrane interfaces |
Clinical imaging translation:
Radioimmunoconjugates for visualizing MRAS-driven tumors
Intraoperative fluorescence guidance based on MRAS pathway activation
These emerging technologies will enable researchers to understand the dynamic behavior of MRAS in normal physiology and disease states with unprecedented resolution .
Comprehensive MRAS antibody validation should include:
Specificity assessments:
Sensitivity measurements:
Detection limit determination with purified protein
Signal-to-noise ratio in relevant biological samples
Comparison with established MRAS antibodies
Application-specific validation:
| Application | Validation Parameters |
|---|---|
| Western blot | Single band at expected MW (24 kDa), consistent results across tissues |
| Immunoprecipitation | Enrichment factor, non-specific binding profile |
| Immunohistochemistry | Staining pattern consistency with known expression |
| Flow cytometry | Population separation, specificity controls |
| ELISA | Standard curve linearity, spike recovery, precision |
Cross-reactivity testing:
Reproducibility assessment:
Conformational specificity:
Testing against active (GTP-bound) vs. inactive (GDP-bound) MRAS
Detection of native vs. denatured protein
Documentation standards:
The RAS Initiative has established comprehensive validation protocols that can serve as a model for MRAS antibody validation across multiple applications .
Effective integration of antibody and genetic approaches:
Complementary validation strategy:
Use genetic tools (CRISPR, RNAi) to validate antibody specificity
Use antibodies to confirm genetic manipulation effects on protein levels
Combine approaches to distinguish transcript vs. protein level regulation
Functional dissection workflow:
| Stage | Genetic Approach | Antibody Approach |
|---|---|---|
| Target identification | CRISPR screening | Protein interaction mapping |
| Loss-of-function | Knockout/knockdown | Blocking antibodies/intrabodies |
| Gain-of-function | Overexpression/mutations | Active-state specific detection |
| Localization | Fluorescent protein fusion | Immunofluorescence |
| Mechanism exploration | Domain mutations | Conformation-specific antibodies |
Temporal control considerations:
Inducible genetic systems for defined timing
Antibody detection for monitoring kinetics
Combined approaches for validating immediate vs. delayed effects
Spatial resolution integration:
Tissue-specific genetic manipulation
Immunohistochemical detection of resulting changes
Correlative approaches for phenotype-expression relationships
Translational applications:
Pathway analysis:
Therapeutic target validation:
Genetic proof-of-concept
Antibody-based mechanism confirmation
Combined approaches for identifying resistance mechanisms
This integrated approach has been particularly valuable in establishing MRAS's role in developmental disorders like Noonan syndrome with cardiac hypertrophy .
When comparing data from different MRAS antibodies:
Epitope mapping considerations:
Document which domain/region each antibody targets
Consider how different epitopes affect detection in various states
Evaluate whether epitopes are conserved across species being compared
Methodological standardization:
Note differences in sample preparation protocols
Account for variations in detection methods
Consider differences in quantification approaches
Antibody format influences:
| Antibody Type | Potential Impact on Results | Harmonization Approach |
|---|---|---|
| Polyclonal vs. Monoclonal | Different epitope coverage | Use multiple antibodies to validate observations |
| Different clones | Variable affinity and specificity | Benchmark against reference standards |
| Different host species | Background differences in certain applications | Match secondary detection systems |
| Different conjugates | Varying sensitivity and dynamic range | Normalize to common reference samples |
Validation consistency assessment:
Batch effect handling:
Implement statistical methods to account for batch effects
Include common reference samples across experiments
Consider meta-analysis approaches for heterogeneous datasets
Application-specific considerations:
WB: Different lysis methods may extract MRAS differently
IHC: Fixation and antigen retrieval variations affect detection
IP: Buffer conditions influence interactions detected
Reporting standards implementation: