MEGF10 antibodies are polyclonal or monoclonal reagents designed to target specific domains of the MEGF10 protein. Key features include:
Supplier: Merck Millipore (Catalog: ABC10)
Epitope: Cytoplasmic domain; validated in mouse retina lysate .
Supplier: Alomone Labs (Catalog: ANR-205)
Epitope: N-terminal extracellular region (residues 178–190 in mice) .
Proliferation & Differentiation:
Satellite Cell Dynamics:
Mechanism: MEGF10 binds Notch1 via its intracellular domain (ICD), regulating nuclear localization of Notch1 .
Pathogenic Mutations: EMARDD-associated p.C774R mutation disrupts MEGF10-Notch1 interaction, impairing myoblast function .
Role in CNS: MEGF10 binds C1q to mediate phagocytosis of apoptotic neurons; deficiency causes cerebellar apoptosis accumulation .
Blocking Controls: Pre-absorption with immunizing peptides (e.g., Alomone BLP-NR205) validates specificity .
Tissue Sources: Validated in brain lysate (mouse/rat), glioblastoma (U-87 MG), and muscle satellite cells .
Researchers can choose from several types of MEGF10 antibodies depending on their experimental needs. Rabbit polyclonal antibodies are commonly available for detecting MEGF10, with validated applications in Western Blotting and Immunofluorescence . Domain-specific antibodies targeting the extracellular region, like ANR-205 which recognizes amino acid residues 178-190 of mouse MEGF10, provide options for experiments requiring detection of the protein's external portion . These antibodies are typically unconjugated, allowing researchers flexibility in secondary detection methods.
The most widely validated applications include:
Western Blotting (WB): Recommended dilutions typically range from 1:300-5000
Immunofluorescence (IF): Effective for tissue sections and cultured cells
Flow cytometry: Particularly for antibodies targeting extracellular domains
Rigorous validation of antibody specificity is critical for reliable MEGF10 research. Recommended validation approaches include:
Blocking peptide experiments: Pre-incubation with specific blocking peptides (e.g., BLP-NR205 for ANR-205 antibody) should eliminate signal if the antibody is specific .
Genetic controls: Tissues from MEGF10 knockout models (Megf10−/−) serve as definitive negative controls.
Positive control samples: Several cell lines have been validated for MEGF10 expression, including:
Cross-validation: Comparing results using multiple antibodies targeting different MEGF10 epitopes increases confidence in findings.
MEGF10 functions as a receptor for C1q and mediates clearance of apoptotic cells, particularly in the developing brain . To investigate this function:
Phagocytosis assays: Transfect cells with MEGF10 expression vectors and quantify their ability to engulf labeled apoptotic cells. HEK-293T cells transfected with mMegf10-RFP or hMegf10-GFP have been successfully used for this purpose .
Purified domain studies: Express and purify the extracellular domain of MEGF10 (ex-hMegf10) and use in binding assays with potential ligands like C1q. This approach has revealed direct high-affinity binding between MEGF10 and C1q .
Apoptotic cell clearance measurement: Compare TUNEL-positive cell counts in tissues from Megf10+/+, Megf10+/−, and Megf10−/− animals to assess in vivo phagocytic function .
Mutation analysis: Compare wild-type MEGF10 with disease-associated mutants (e.g., C326R and C774R EMARDD mutations) in phagocytic assays to understand structure-function relationships .
MEGF10 plays a significant role in muscle development, with mutations causing EMARDD (early myopathy, areflexia, respiratory distress and dysphagia) . Methodological approaches include:
Myoblast fusion assays: Monitor MEGF10 localization during fusion events using immunofluorescence. Studies have shown that MEGF10 overexpression inhibits fusion in H-2k-tsA58 myoblasts .
Domain function analysis: Add purified extracellular domains of MEGF10 to myoblast cultures and assess effects on adhesion and fusion. The full extracellular domain (ECD) with the EMI domain reduces myoblast fusion more effectively than EGF domains alone .
Satellite cell quantification: Use MEGF10 antibodies alongside PAX7 to quantify satellite cell populations in normal versus EMARDD muscle samples.
Hypertrophic response models: Analyze MEGF10 expression during muscle overload to understand its role in adaptation responses .
MEGF10 functions as a receptor for C1q in the clearance of apoptotic cells in the developing brain . To investigate this interaction:
Binding assays: Expressed and purified extracellular domains of human MEGF10 (ex-hMegf10) have been used to demonstrate direct binding to C1q. This can be accomplished by:
Mutation analysis: Compare C1q binding between wild-type MEGF10 and EMARDD-associated mutants (C326R and C774R). Cells expressing MEGF10 with these mutations show impaired apoptotic cell clearance and reduced C1q binding .
Flow cytometry quantification: Measure the percentage of C1q uptake in cells expressing different MEGF10 variants to quantify functional interactions .
Co-localization studies: Use dual immunofluorescence with anti-MEGF10 and anti-C1q antibodies to examine spatial relationships in tissue sections.
To effectively study MEGF10 expression and function across neural cell types:
Cell-type specific co-localization: Combine anti-MEGF10 antibodies with markers for:
Subcellular localization: High-resolution imaging of MEGF10 demonstrates localization patterns including:
Flow cytometry: For cell surface detection of MEGF10, use antibodies targeting extracellular epitopes in live intact cells (as demonstrated with THP-1 cells) .
Tissue section analysis: Perfusion-fixed frozen brain sections can be effectively stained with anti-MEGF10 antibodies at dilutions of approximately 1:300, allowing visualization of neuronal MEGF10 expression .
For successful Western blot detection of MEGF10, researchers should consider:
Sample preparation:
Antibody dilutions:
Detection systems:
Controls:
Blocking peptide controls should be run in parallel to confirm specificity
Include positive control lysates from validated MEGF10-expressing cells
When working with MEGF10 antibodies across different species:
Cross-reactivity profiles:
Conservation analysis:
Validation across species:
MEGF10 mutations cause EMARDD, making it relevant for pathology research . Methodological approaches include:
Mutation modeling: Compare wild-type MEGF10 with disease-associated mutations:
Satellite cell analysis: EMARDD is associated with reduced numbers of PAX7-positive satellite cells . Researchers can:
Quantify satellite cell populations in muscle biopsies
Correlate MEGF10 expression with satellite cell function
Overload models: Muscle overload studies in Megf10 knockout mice reveal the protein's role in hypertrophic responses, providing insight into disease mechanisms .
Domain-specific functions: Purified extracellular domains demonstrate that the EMI domain is particularly important for adhesion behaviors, while its absence affects fusion patterns .
To investigate MEGF10's interactome:
Direct binding assays:
Membrane interaction studies:
Functional interaction analysis:
Research has revealed distinct functions for MEGF10 domains, particularly the EMI domain versus EGF repeats . Methodological approaches include:
Domain-specific constructs:
Quantitative adhesion assays:
Fusion kinetics:
To investigate MEGF10's role in development:
Developmental time-course studies:
Cell fate determination:
Genetic model analysis: