The DNM3 antibody is produced using a synthesized peptide derived from the human DNM3 protein. Key specifications include:
| Parameter | Details |
|---|---|
| Host/Isotype | Rabbit IgG polyclonal antibody |
| Immunogen | Human DNM3 peptide (amino acid region) |
| Molecular Weight | ~97–100 kDa (observed in Western blot) |
| Cross-Reactivity | Human, mouse, rat |
| Purification | Antigen affinity purification |
| Storage | PBS with 0.02% sodium azide and 50% glycerol; store at -20°C |
This antibody is validated for use in multiple techniques, including Western blotting, immunoprecipitation, and immunohistochemistry. Its specificity is confirmed by the absence of cross-reactivity with other dynamin family members (e.g., DNM1, DNM2) .
The DNM3 antibody is optimized for:
| Application | Recommended Dilution | Key Uses |
|---|---|---|
| Western Blot (WB) | 1:500–1:2000 | Detection of DNM3 in lysates of lung or cervical cancer cells |
| ELISA | 1:5000–1:20,000 | Quantitative analysis of DNM3 expression levels |
| Immunofluorescence | 1:100–1:500 | Subcellular localization studies (e.g., cytoplasmic staining) |
| Immunoprecipitation | N/A | Protein interaction studies (e.g., GRB2-c-MET-STAT3 complex) |
Protocols for these applications are available through manufacturers such as Proteintech and Boster Bio .
DNM3 has been identified as a tumor suppressor in multiple cancers, including non-small-cell lung cancer (NSCLC), cervical carcinoma, and breast cancer . Knockdown of DNM3 enhances tumor cell proliferation and metastasis by activating the c-MET-STAT3 signaling pathway . The DNM3 antibody has been instrumental in confirming these findings:
The antibody facilitates the detection of DNM3’s interaction with GRB2, a critical adaptor protein in oncogenic signaling. In DNM3-deficient cells, GRB2 binds more strongly to c-MET, leading to STAT3 activation and upregulation of pro-proliferative genes (e.g., cyclin D1) . This mechanism underscores DNM3’s role in regulating tumor progression.
DNM3 expression levels may predict responsiveness to c-MET inhibitors like crizotinib. For example, crizotinib suppresses tumor growth in DNM3-low NSCLC models , suggesting potential clinical applications for this antibody in biomarker discovery.
DNM3 (Dynamin 3) is a member of the dynamin family of mechanochemical enzymes (including DNM1, DNM2, and DNM3) that participate in membrane dynamics by hydrolyzing nucleotides to link cellular membranes to the actin cytoskeleton . The human DNM3 protein has an expected molecular weight of 97.7 kDa and exists in five reported isoforms . DNM3 may also be known by alternative names including Dyna III, T-dynamin, and dynamin family member .
Research significance:
Functions as a tumor suppressor in non-small-cell lung cancer (NSCLC)
Interacts with key signaling molecules including growth factor receptor-bound protein 2 (GRB2)
DNM3 antibodies enable researchers to investigate protein expression, localization, and interactions across various experimental contexts. Understanding DNM3 biology has significant implications for cancer research, hematology, and cellular biology.
When using DNM3 antibodies, researchers should consider the following application-specific recommendations:
Western Blot:
Protein detection: Expected band at approximately 97 kDa
Sample preparation: Standard cell/tissue lysis procedures are suitable
Storage: Aliquot and store at -20°C to avoid repeated freeze/thaw cycles
Immunohistochemistry (IHC):
Fixation: Standard formalin fixation and paraffin embedding procedures
Antigen retrieval: May be necessary depending on fixation method
Reported successful dilution: 1:250 for rabbit polyclonal DNM3 antibody
Immunoprecipitation (IP):
Flow Cytometry and Immunofluorescence:
Dilution must be optimized for specific antibody and application
Fixation and permeabilization protocols should be optimized
For all applications, researchers should include appropriate positive and negative controls to validate antibody specificity and performance.
Research has established DNM3 as a tumor suppressor in non-small-cell lung cancer through several key mechanisms :
Expression Analysis in Cancer:
Functional Studies:
Knockdown of DNM3 using shRNA significantly promotes lung cancer cell proliferation and migration
BrdU assays confirm enhanced proliferation following DNM3 depletion
Transwell migration assays demonstrate increased migration in cells with reduced DNM3
Overexpression of DNM3 suppresses H1299 and A549 cell proliferation
Mechanistic Investigation:
DNM3 interacts with growth factor receptor-bound protein 2 (GRB2)
This interaction disrupts the formation of the c-MET-GRB2-STAT3 complex
DNM3 depletion enhances STAT3 activation, regulating genes related to proliferation and metastasis
The c-MET inhibitor crizotinib effectively suppresses tumor growth and metastasis in cells with low DNM3 expression
Researchers can employ DNM3 antibodies to:
Assess DNM3 expression levels in patient samples for prognostic evaluation
Study protein-protein interactions through co-immunoprecipitation
Investigate subcellular localization changes during cancer progression
Monitor treatment responses to targeted therapies like c-MET inhibitors
DNM3 has been identified as a participant in megakaryocyte development and platelet formation . Researchers investigating this function should consider these approaches:
Expression Analysis During Differentiation:
DNM3 shows significant upregulation during megakaryocytopoiesis with:
Subcellular Localization:
Confocal microscopy reveals diffuse cytoplasmic distribution with punctate appearance in pro-platelet processes
Immunogold electron microscopy shows wide distribution in the cytoplasm without specific organelle localization
Functional Studies:
Overexpression in umbilical cord blood CD34+ cells results in:
Recommended Methodological Approaches:
Expression Studies:
Imaging Techniques:
Confocal microscopy with appropriate fluorophore-conjugated secondary antibodies
Immunogold labeling for ultrastructural localization
Live-cell imaging for dynamic processes
Functional Analysis:
Lentiviral transduction for overexpression or knockdown studies
Colony formation assays to assess megakaryocyte progenitor activity
Analysis of differentiation markers (CD41, CD61, NFE-2, β1-tubulin)
When encountering contradictory results in DNM3 research, consider these methodological approaches:
1. Context-Dependent Function Analysis:
DNM3 functions as a tumor suppressor in lung cancer but promotes growth in megakaryocyte development
Design experiments to directly compare DNM3's role across different cell types using identical methodologies
Create a comparative analysis framework addressing:
Cell type-specific binding partners
Expression levels of DNM3 isoforms
Post-translational modifications
Subcellular localization patterns
2. Isoform-Specific Investigation:
Use isoform-specific antibodies or genetic approaches
Determine the expression profile of each isoform in your experimental system
Consider creating an isoform expression table comparing different tissues/cell types
3. Technical Approach Standardization:
Validate antibody specificity in each experimental system
Use identical protocols for protein extraction and analysis
Include multiple positive and negative controls
Employ complementary techniques (Western blot, qPCR, immunofluorescence)
4. Mechanistic Resolution Strategies:
Conduct detailed pathway analysis in different systems
Identify key interaction partners through co-immunoprecipitation followed by mass spectrometry
Use genetic approaches (CRISPR/Cas9, shRNA) to validate functional relationships
Design rescue experiments to confirm specificity of observed phenotypes
5. Comprehensive Literature Analysis:
Create a systematic review of published DNM3 findings
Identify methodological differences that might explain contradictions
Contact authors of conflicting studies to discuss technical details
Consider collaborative efforts to resolve contradictions
Thorough validation is critical for ensuring reliable and reproducible results with DNM3 antibodies:
1. Specificity Validation:
Genetic Approaches:
siRNA/shRNA knockdown followed by Western blot
CRISPR/Cas9 knockout validation
Overexpression of DNM3 as a positive control
Biochemical Validation:
Peptide competition assays
Testing against recombinant DNM3 protein
Cross-reactivity testing against related proteins (DNM1, DNM2)
2. Application-Specific Validation:
3. Troubleshooting Common Issues:
Multiple Bands in Western Blot:
Weak or No Signal:
Optimize antibody concentration
Extend incubation time
Enhance signal with amplification systems
Check sample preparation and protein integrity
High Background:
Increase blocking time/concentration
Add additional washing steps
Reduce antibody concentration
Try alternative blocking agents
Emerging research suggests several promising therapeutic applications where DNM3 antibodies serve as critical research tools:
1. Targeted Cancer Therapies:
c-MET inhibitors like crizotinib effectively suppress tumor growth in cells with low DNM3 expression
DNM3 antibodies can help:
Identify patients likely to respond to c-MET inhibitors
Monitor treatment efficacy through changes in DNM3-related signaling
Discover new therapeutic targets within the DNM3-regulated pathways
2. Biomarker Development:
Lower DNM3 expression correlates with poor survival in lung cancer patients
Research applications include:
Prognostic stratification of cancer patients
Predictive biomarker development for treatment selection
Monitoring disease progression through DNM3 expression changes
3. Pathway-Targeted Interventions:
Investigation opportunities include:
High-throughput screening for compounds that modulate DNM3 expression
Development of peptide mimetics that replicate DNM3's interaction with GRB2
Combination therapies targeting multiple nodes in the pathway
4. Hematological Applications:
DNM3 overexpression enhances megakaryocyte development and platelet formation
Potential applications include:
Development of interventions for thrombocytopenia
Improved methods for in vitro platelet production
Novel treatments for megakaryocyte-related disorders
5. Methodological Research Focus:
Develop DNM3 isoform-specific antibodies for precise targeting
Create phospho-specific antibodies to monitor activation states
Establish standardized protocols for patient sample analysis
When investigating DNM3's role in signaling pathways, researchers should consider these experimental design elements:
1. Pathway-Specific Experimental Design:
DNM3 interacts with GRB2, affecting the c-MET-GRB2-STAT3 signaling axis
Key experimental approaches:
Co-immunoprecipitation with DNM3 antibodies to identify interaction partners
Proximity ligation assays to visualize protein interactions in situ
Phosphorylation analysis of downstream effectors (particularly STAT3)
Reporter assays for STAT3-dependent transcription
2. Temporal Dynamics Consideration:
Signal transduction events occur with specific timing
Recommended approaches:
Time-course experiments following stimulation (e.g., with growth factors)
Synchronized cell populations for consistent signaling responses
Live-cell imaging with fluorescently tagged proteins
Rapid lysis techniques to capture transient interactions
3. Spatial Organization Analysis:
Analytical methods:
High-resolution confocal microscopy
Subcellular fractionation followed by Western blotting
FRET/BRET analysis for protein proximity detection
Super-resolution microscopy for detailed localization studies
4. Genetic Manipulation Strategies:
Create controlled systems to study DNM3 function
Approaches include:
CRISPR/Cas9 knockout followed by rescue with wild-type or mutant DNM3
Inducible expression systems for temporal control
Domain mapping through truncation mutants
Site-directed mutagenesis of key functional residues
5. Comprehensive Readout Systems:
Monitor multiple aspects of signaling simultaneously
Methods include:
Multiplex analysis of phosphorylation events
Transcriptional profiling following DNM3 manipulation
Proteomics approaches to identify global changes
Functional assays relevant to the biological context (proliferation, migration, differentiation)
By applying these methodological approaches, researchers can build a comprehensive understanding of DNM3's complex roles in cellular signaling and disease processes, potentially leading to new therapeutic strategies.