The term "MEFG1" does not align with established nomenclature for:
Genes: No gene symbol "MEFG1" exists in HUGO Gene Nomenclature Committee (HGNC) records.
Proteins: Unlisted in UniProt, Protein Data Bank (PDB), or Human Protein Atlas.
Antibodies: Absent from commercial catalogs (e.g., Thermo Fisher, Abcam) and therapeutic antibody registries.
Similar-sounding antibodies (e.g., HER4/ErbB4 , EGFR ) are well-documented.
Example nomenclature confusion:
| Actual Antibody | Target | Relevance |
|---|---|---|
| MEGF10 | Phagocytic receptor | Expressed in macrophages |
| MFGE8 | Lactadherin | Involved in apoptotic cell clearance |
If "MEFG1" is a novel, unpublished target, its data would not yet be publicly accessible.
To resolve ambiguity, consider:
Sequence Verification: Confirm the antigen’s amino acid sequence via NCBI BLAST.
Source Validation: Cross-check with proprietary databases or institutional repositories.
Nomenclature Review: Validate against IUPAC/IUBMB guidelines for biochemical naming.
| IgG Subclass | Effector Functions | Clinical Applications |
|---|---|---|
| IgG1 | High ADCC, CDC | Cancer (e.g., trastuzumab) |
| IgG2 | Low effector activity | Neutralizing soluble antigens |
| IgG4 | Minimal ADCC/CDC | Chronic inflammation |
Robust validation pipelines (e.g., NeuroMab , YCharOS ) require:
Orthogonal assays: Western blot, immunohistochemistry, KO validation.
Glycosylation profiling: Fc region glycoforms impact pharmacokinetics .
Epitope mapping: Critical for specificity (e.g., ERBB4’s extracellular domain ).
If MEFG1 were a hypothetical antibody:
MEFG1/GFM1 (Mitochondrial Elongation Factor G1) is a mitochondrial GTPase that plays a crucial role in protein synthesis within mitochondria. It catalyzes the GTP-dependent ribosomal translocation step during translation elongation. During this critical process, the ribosome transitions from the pre-translocational (PRE) to the post-translocational (POST) state as the newly formed A-site-bound peptidyl-tRNA and P-site-bound deacylated tRNA move to the P and E sites, respectively .
MEFG1/GFM1 coordinates the movement of tRNA molecules and mRNA while facilitating conformational changes in the ribosome. This protein does not participate in the disassembly of ribosomes from messenger RNA at the termination of mitochondrial protein biosynthesis . The gene is also known by several synonyms including EFG, EFG1, EFGM, GFM, and hEFG1, and its gene ID is 85476 .
MEFG1/GFM1 antibodies serve multiple experimental purposes in mitochondrial research. According to technical data, these antibodies can be employed in several standard applications:
| Application | Dilution Range | Methodology Notes |
|---|---|---|
| Western Blot (WB) | 1:300-5000 | For protein expression level quantification |
| Immunofluorescence (IHC-P) | 1:50-200 | For localization in paraffin-embedded tissues |
| Immunofluorescence (IHC-F) | 1:50-200 | For localization in frozen tissues |
| Immunofluorescence (ICC) | 1:50-200 | For cellular localization studies |
When selecting application methods, researchers should consider that MEFG1/GFM1 is primarily located in the cytoplasm, specifically in mitochondria . The antibody concentration should be optimized for each specific application and experimental system. For immunofluorescence applications, conjugated antibodies (such as AbBy Fluor® 594) provide direct visualization without requiring secondary antibodies, streamlining the detection process .
Proper handling and storage of MEFG1 antibodies is critical for maintaining their activity and specificity. The antibodies are typically provided in aqueous buffered solutions containing components like TBS (pH 7.4), BSA, preservatives (e.g., Proclin300), and glycerol . For long-term stability:
Store antibodies at -20°C in a non-frost-free freezer to prevent temperature fluctuations
Aliquot the antibody solution into multiple small volumes upon receipt to avoid repeated freeze-thaw cycles
When thawing, allow the antibody to equilibrate to room temperature gradually before use
Keep the antibody on ice while in use during experiments
Return to -20°C promptly after use
Multiple freeze-thaw cycles can significantly degrade antibody performance, resulting in decreased sensitivity and increased background. For experiments requiring highly consistent results, researchers should consider preparing single-use aliquots based on their typical experimental requirements .
When selecting MEFG1/GFM1 antibodies for experiments involving various model organisms, researchers should carefully consider species reactivity profiles. Based on available data, commercially available antibodies demonstrate:
This cross-reactivity profile stems from the conservation of MEFG1/GFM1 sequences across species. The specific antibody described in the technical data (bs-13338R-BF594) was generated using a KLH-conjugated synthetic peptide derived from human GFM1, targeting the region between amino acids 401-500 of the 751-amino acid protein . Researchers working with species not listed should perform preliminary validation experiments before proceeding with full-scale studies.
Differentiating MEFG1/GFM1 from other mitochondrial proteins requires careful experimental design and controls. Standard approaches include:
Using properly validated antibodies with confirmed specificity for MEFG1/GFM1
Employing appropriate controls:
Positive control: Tissue/cells known to express MEFG1/GFM1 (e.g., high-energy demanding tissues)
Negative control: MEFG1/GFM1 knockout cells or siRNA-treated samples
Isotype control: Identical concentration of non-specific IgG from the same host species
Comparing localization patterns with established mitochondrial markers
Confirming results using orthogonal methods (e.g., mass spectrometry, RNA expression)
For Western blot applications, researchers should verify that the observed band appears at the expected molecular weight for MEFG1/GFM1 (approximately 83 kDa) to distinguish it from other mitochondrial elongation factors or GTPases .
Rigorous antibody validation is essential for ensuring reliable research outcomes. For MEFG1/GFM1 antibodies, comprehensive validation should include:
Genetic approaches:
CRISPR/Cas9 knockout of GFM1 gene
siRNA or shRNA knockdown with at least 2-3 different sequences
Overexpression of tagged MEFG1/GFM1 constructs
Biochemical validation:
Peptide competition assays using the immunizing peptide (region 401-500 for the antibody in search results)
Orthogonal detection methods (e.g., mass spectrometry)
Testing multiple antibody clones against different epitopes
Application-specific controls:
For IF/ICC: Co-localization with established mitochondrial markers
For WB: Molecular weight verification and detection of expression changes upon mitochondrial stress
For IP: Mass spectrometry confirmation of pulled-down proteins
Cross-reactivity assessment:
Testing against closely related proteins (e.g., EF-G2mt/GFM2)
Species-specific validation when working with non-human models
Researchers should document validation evidence systematically and consider their specific experimental conditions when assessing antibody performance.
Optimizing immunofluorescence protocols for MEFG1/GFM1 requires methodical adjustment of multiple parameters:
Fixation optimization:
For mitochondrial proteins: 4% paraformaldehyde (10-15 minutes) preserves structure while maintaining epitope accessibility
Test multiple fixatives (PFA, methanol, acetone) as different epitopes respond differently
Avoid overfixation which can mask epitopes
Antigen retrieval considerations:
Heat-induced epitope retrieval: Test citrate buffer (pH 6.0) vs. EDTA buffer (pH 9.0)
Enzymatic retrieval: Consider proteinase K for formalin-fixed tissues
Optimize retrieval time (10-30 minutes) and temperature
Permeabilization optimization:
For mitochondrial proteins: 0.1-0.3% Triton X-100 (5-10 minutes)
Alternative: 0.1-0.5% saponin for more gentle permeabilization
Critical for accessing intramitochondrial epitopes
Antibody parameters:
Signal amplification strategies:
For each tissue type, researchers should develop a matrix of conditions and systematically test each parameter while maintaining appropriate controls.
Investigating MEFG1/GFM1 mutations requires sophisticated experimental approaches:
Model system selection:
Patient-derived cells for clinical mutations
CRISPR/Cas9 engineered cell lines for specific mutations
Yeast complementation systems utilizing the MEFG1/GFM1 homolog
Mouse models for in vivo studies
Translation assay methodologies:
Mitochondrial protein synthesis assay using 35S-methionine labeling
Ribosome profiling specific to mitochondrial ribosomes
Polysome profiling to assess translation efficiency
SILAC or pulsed SILAC for protein synthesis rate measurement
GTPase activity assessment:
Purified protein GTPase assays with colorimetric detection
Real-time GTP hydrolysis assays using fluorescent GTP analogs
Structure-function analysis of GTPase domain mutations
Ribosome interaction studies:
Cryo-EM to visualize MEFG1/GFM1-ribosome interactions
FRET assays to measure conformational changes during translocation
Cross-linking and mass spectrometry to map interaction sites
Cellular phenotype analysis:
Oxygen consumption measurements
Mitochondrial membrane potential assessments
mtDNA-encoded protein expression analysis
Mitochondrial morphology and network analysis
These approaches should be combined with proper controls, including wild-type MEFG1/GFM1 and characterized mutations, to establish causality between mutations and observed phenotypes.
Studying MEFG1/GFM1 interactions requires specialized approaches to maintain native complex integrity:
Proximity-based methods:
BioID or TurboID: Fusion of biotin ligase to MEFG1/GFM1 to biotinylate proximal proteins
APEX2 proximity labeling: Generates electron-dense precipitate for EM visualization
Split-GFP complementation to visualize interactions in living cells
Affinity purification strategies:
Tandem affinity purification with mild detergents to preserve interactions
GFP-Trap or FLAG-tag pulldowns of MEFG1/GFM1
Chemical crosslinking prior to purification to capture transient interactions
Quantitative mass spectrometry to identify interaction partners
Structural biology approaches:
Cryo-EM of reconstituted translation complexes
Hydrogen/deuterium exchange mass spectrometry to map interaction interfaces
FRET-based assays to measure dynamic interactions
In vitro reconstitution:
Purified components to recapitulate translation steps
Fluorescently labeled components to track movement and interactions
Real-time kinetic measurements of complex formation
Genetic interaction mapping:
Synthetic lethality screens
Suppressor screens to identify functional partners
CRISPR screening for genetic interactions
When analyzing results, researchers should distinguish between direct and indirect interactions, account for the dynamic nature of translation complexes, and validate key interactions through multiple orthogonal methods.
Investigating MEFG1/GFM1's role in mitochondrial disorders requires multifaceted approaches:
Patient sample analysis:
Cellular models:
Patient-derived fibroblasts or induced pluripotent stem cells
CRISPR-engineered cell lines with patient-specific mutations
Transmitochondrial cybrids to isolate mitochondrial effects
Tissue-specific differentiated cells relevant to affected tissues
Functional assessments:
Mitochondrial respiration (Seahorse analyzer)
Mitochondrial membrane potential (TMRM, JC-1)
ATP production assays
ROS production measurement
mtDNA-encoded protein synthesis rates
Therapeutic screening approaches:
Small molecule screens targeting translation enhancement
Gene therapy approaches using viral vectors
Mitochondrial-targeted peptides to modulate activity
Metabolic bypass strategies
Animal models:
Conditional knockout mouse models
Patient mutation knock-in models
Phenotypic analysis of tissues affected in human disease
When conducting these studies, researchers should employ relevant controls including age-matched samples for patient studies, isogenic controls for cellular models, and appropriate statistical methods to account for variability in mitochondrial function assays.
Systematic troubleshooting of MEFG1/GFM1 antibody performance requires methodical evaluation:
Antibody-specific factors:
Sample preparation optimization:
Extraction methods: Mitochondrial isolation vs. whole cell lysates
Buffer compatibility: Test different lysis buffers (RIPA vs. NP-40 vs. Triton)
Protease inhibitors: Ensure complete cocktail is used
Sample handling: Minimize time at room temperature
Protocol modifications:
Blocking reagents: Test BSA vs. milk vs. commercial blockers
Incubation conditions: Time (1h vs. overnight) and temperature (4°C vs. RT)
Washing stringency: Buffer composition and number of washes
Signal development time: Optimize for specific application
Systematic validation:
Control samples: Run positive and negative controls in parallel
Alternative antibodies: Test antibodies targeting different epitopes
Complementary techniques: Verify with non-antibody methods
Knockdown/knockout validation: Confirm specificity
Documentation and standardization:
Create detailed protocols capturing all variables
Maintain antibody validation records
Track performance across experiments
Consider antibody validation services for critical applications
When troubleshooting, change only one variable at a time and maintain detailed records of all modifications and outcomes to identify the source of inconsistency.
Investigating MEFG1/GFM1 behavior during stress requires careful experimental design:
Stress model selection and validation:
Oxidative stress: H₂O₂, paraquat, rotenone
ER stress: tunicamycin, thapsigargin
Nutrient stress: glucose deprivation, serum starvation
Hypoxia: chemical (CoCl₂) or physical (hypoxic chamber)
Validation of stress induction using established markers
Temporal considerations:
Time-course experiments: Early (0-2h), intermediate (2-12h), late (12-48h) responses
Synchronize cell populations when possible
Include recovery phases after stress removal
Consider circadian influences on mitochondrial function
Quantitative assessment methods:
Signaling pathway integration:
Inhibitor/activator studies to identify regulatory pathways
Genetic approaches (CRISPR, siRNA) to validate key regulators
Phosphoproteomics to map stress-induced modifications
Protein-protein interaction changes during stress
Multi-parametric analysis:
Correlate MEFG1/GFM1 changes with translation rates
Measure associated mitochondrial function parameters
Assess cell viability and recovery capacity
Monitor mitochondrial network dynamics
Researchers should include appropriate controls for each stress condition and consider cell type-specific responses when interpreting results, as mitochondrial stress responses can vary significantly between different tissues and cell types.
Accurate quantification of MEFG1/GFM1 requires rigorous methodological approaches:
Protein quantification methods:
Western blot with standardized loading controls
ELISA development for absolute quantification
Mass spectrometry-based quantification
Label-free quantification
TMT/iTRAQ labeling for multiplexed analysis
SILAC for turnover studies
mRNA quantification approaches:
RT-qPCR with validated reference genes
Digital droplet PCR for absolute quantification
RNA-Seq with appropriate normalization
Single-cell analysis for heterogeneity assessment
Image-based quantification:
Experimental design considerations:
Technical replicates (minimum 3)
Biological replicates (minimum 3 independent experiments)
Randomization and blinding where possible
Inclusion of relevant positive and negative controls
Inter-assay calibrators for studies performed over time
Statistical analysis approaches:
Power analysis for sample size determination
Appropriate statistical tests based on data distribution
Correction for multiple comparisons
Effect size calculation in addition to p-values
Transparent reporting of outliers and exclusions
When integrating multiple quantification methods, researchers should consider the different sensitivities and dynamic ranges of each technique and interpret results accordingly.
When studying antibody durability in research contexts, investigators can apply methodologies similar to those used in vaccine research:
Longitudinal sampling strategies:
Strategic timepoint selection (baseline, peak, early decline, long-term)
Consistent sampling methodology
Sample preservation techniques to maintain antibody integrity
Paired sample collection for systemic and mucosal compartments
Quantitative assessment methods:
ELISA for antibody titer measurement
Surface plasmon resonance for affinity determination
Flow cytometry for cell-associated antibody detection
Functional assays to assess neutralizing capacity
Compartment-specific evaluation:
Mucosal antibody assessment in relevant tissues
Tissue-resident B cell analysis
Memory B cell quantification and characterization
Plasma cell niche examination
Experimental design for durability studies:
Correlative studies:
Molecular signatures predicting durability
Germinal center response correlation
Antibody glycosylation and other modifications
Correlation with T cell helper responses
The remarkable finding that some vaccine-elicited antibody responses can be detected 6-17 years post-vaccination and rapidly boosted upon re-exposure provides a framework for studying antibody durability . While this research focused on HIV-1 vaccine responses, similar principles could be applied to study the longevity of other antibody responses in research settings.
Advanced multiplex imaging of mitochondrial translation complexes requires sophisticated methodological approaches:
Multiplexed fluorescence imaging strategies:
Super-resolution approaches:
STED microscopy for ~50nm resolution
STORM/PALM for single-molecule localization
SIM for doubled resolution with lower phototoxicity
Expansion microscopy to physically enlarge specimens
Correlative light and electron microscopy (CLEM)
Live-cell imaging considerations:
SNAP/CLIP/Halo-tagged MEFG1/GFM1 for dynamic studies
Photoactivatable/photoconvertible fluorophores for pulse-chase
Split fluorescent proteins to visualize interactions
FRET/FLIM to measure protein proximity
Lattice light-sheet for reduced phototoxicity
Image analysis methods:
Machine learning for feature extraction
3D reconstruction of translation complexes
Single-particle tracking for dynamics
Colocalization analysis with statistical validation
Spatial statistics to quantify clustering
Mitochondria-specific considerations:
Combining with mitochondrial network analysis
Correlating with functional readouts (membrane potential)
Sub-mitochondrial localization analysis
Integration with mitochondrial calcium or ROS imaging
Mitochondrial isolation and in vitro reconstitution imaging
When implementing these approaches, researchers should carefully validate all antibodies in multiplex settings, as fixation and permeabilization requirements may differ between targets, and optimize signal-to-noise ratios for each channel to ensure accurate quantification and colocalization assessment.