DNM1L (Dynamin-1-like protein), also known as DRP1, is a GTPase critical for regulating mitochondrial fission and neuronal survival . The DNM1L (Ab-637) antibody specifically targets the phosphorylated Ser-637 residue (p-Ser637) of DNM1L, a post-translational modification site implicated in mitochondrial dynamics, apoptosis, and neurodegenerative diseases . This antibody is widely used to study mitochondrial dysfunction in conditions like glaucoma, Alzheimer’s disease, and circadian rhythm disorders .
Intravitreal administration of anti-DNM1L antibodies in glaucoma animal models demonstrated:
Retinal Ganglion Cell (RGC) Survival: Increased RGC density by 15–20% compared to controls .
Reduced Apoptosis: Downregulation of pro-apoptotic BAD protein (fold-change: 0.43 vs. 0.76 in treated groups) and increased XIAP expression (fold-change: 0.69 vs. 1.10) .
Improved Retinal Function: Enhanced PhNR amplitude (retinal ganglion cell activity) via electroretinography .
Phosphorylation at Ser-637 modulates DNM1L’s GTPase activity, influencing mitochondrial ATP production and circadian rhythms .
Dysregulated DNM1L activity is linked to oxidative stress and neuronal apoptosis in Alzheimer’s disease and Parkinson’s disease .
DNM1L (Ab-637) antibody studies reveal the following pathways:
Mitochondrial Fission:
Apoptosis Regulation:
Protein Interactions:
DNM1L (Ab-637) antibodies are validated using:
Western Blot: Confirmed specificity for phosphorylated DNM1L at 80–81 kDa in human, mouse, and rat tissues .
Immunocytochemistry: Localizes to mitochondrial membranes and cytosol in neuronal cells .
Knockout Controls: Absence of signal in DNM1L-deficient models .
| Supplier | Catalog Number | Price | Target Region |
|---|---|---|---|
| Boster Bio | A00556S637-1 | $379 | Phospho-Ser637 |
| Abcepta | ASC11735 | $379 | Full-length DNM1L |
For bulk orders or custom conjugates, contact suppliers directly .
DNM1L (Dynamin-1-like protein), also known as DRP1 (Dynamin-related protein 1), is a GTPase that plays a crucial role in mitochondrial and peroxisomal division. It mediates membrane fission through oligomerization into membrane-associated tubular structures that wrap around scission sites to constrict and sever mitochondrial membranes through a GTP hydrolysis-dependent mechanism . The protein functions in:
Regulating mitochondrial dynamics (fission/fusion balance)
Facilitating developmentally regulated apoptosis
Supporting normal brain development, particularly in the cerebellum
Suppressing oxidative damage in postmitotic neurons
DNM1L's recruitment to mitochondrial membranes is mediated by specific membrane receptors such as MFF, MIEF1, and MIEF2 in a GTP-dependent manner .
The DNM1L (Ab-637) Antibody is a rabbit polyclonal antibody with the following specifications:
| Characteristic | Specification |
|---|---|
| Host | Rabbit |
| Clonality | Polyclonal |
| Isotype | IgG |
| Immunogen | Synthesized peptide derived from C-terminal of human DNM1L |
| Species Reactivity | Human, Mouse, Rat |
| Applications | ELISA, WB (primary), IF, ICC (some formulations) |
| Form | Liquid |
| Diluent Buffer | Rabbit IgG in phosphate buffered saline (without Mg²⁺ and Ca²⁺), pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol |
| Storage | -20°C or -80°C (avoid repeated freeze-thaw cycles) |
| Dilution Range | WB: 1:500-1:3000; IF: starting at 20 µg/mL; ICC: starting at 5 µg/mL |
Note: At least four isoforms of DNM1L are known to exist; this antibody typically detects the two longest isoforms .
DNM1L (Ab-637) Antibody has been utilized in multiple research applications, particularly focusing on mitochondrial dynamics and associated pathologies:
Neurodegenerative research: Investigating mitochondrial dynamics in neuronal cells, particularly in models of glaucoma and other neurodegenerative conditions
Cancer research: Studying altered mitochondrial dynamics in cancer, particularly in lung adenocarcinoma where DNM1L is overexpressed
Cardiovascular research: Examining mitochondrial fission in cardiomyopathy models and other cardiac conditions
Cell biology: Investigating fundamental aspects of mitochondrial dynamics, fission/fusion balance, and quality control mechanisms
Immunological research: Exploring the role of DNM1L in regulating immune cell infiltration in tumor microenvironments
The antibody has been validated for Western blotting (WB) and ELISA applications across all sources, with some formulations also suitable for immunofluorescence (IF) and immunocytochemistry (ICC) .
For optimal Western blotting using DNM1L (Ab-637) Antibody, consider the following methodological recommendations:
Sample preparation:
Use RIPA buffer with protease and phosphatase inhibitors for protein extraction
For mitochondrial enrichment, consider subcellular fractionation techniques
Gel electrophoresis:
Transfer and blocking:
Transfer to PVDF membrane (preferred over nitrocellulose for this protein)
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Antibody incubation:
Detection:
Enhanced chemiluminescence (ECL) is sufficient for most applications
Expected band: ~80 kDa (main band); may detect additional bands representing different phosphorylation states or splice variants
Troubleshooting tip: If background is high, consider using BSA instead of milk for blocking and antibody dilution, or increase washing steps with TBST.
For optimal immunofluorescence staining with DNM1L (Ab-637) Antibody:
Fixation and permeabilization:
Fix cells with 4% paraformaldehyde for 15 minutes at room temperature
Permeabilize with 0.1% Triton X-100 for 5-10 minutes (critical for accessing mitochondrial proteins)
Blocking:
Block with 5% normal goat serum in PBS for 1 hour at room temperature
Antibody incubation:
Counterstaining:
MitoTracker or TOMM20 antibody for mitochondrial colocalization
DAPI for nuclear staining
Mounting and imaging:
Mount with anti-fade mounting medium
Use confocal microscopy for optimal resolution of mitochondrial structures
For visualizing mitochondrial dynamics, consider live-cell imaging with fluorescently tagged DNM1L constructs as a complementary approach to fixed-cell immunofluorescence .
Robust experimental designs using DNM1L (Ab-637) Antibody should include the following controls:
Positive controls:
Cell lines with known DNM1L expression (e.g., HeLa cells, HEK293 cells)
Tissues with high mitochondrial content (e.g., heart, brain)
Recombinant DNM1L protein (for antibody validation)
Negative controls:
DNM1L knockout or knockdown cells/tissues (siRNA or CRISPR-generated)
Isotype control (rabbit IgG at same concentration)
Secondary antibody only control
Specificity controls:
Preabsorption of antibody with immunizing peptide
Use of multiple antibodies targeting different epitopes of DNM1L
Comparison with commercially available validated anti-DNM1L antibodies
Experimental manipulation controls:
Including these controls helps validate antibody specificity and ensures accurate interpretation of experimental results, particularly in complex systems where mitochondrial dynamics are being studied.
DNM1L (Ab-637) Antibody has been instrumental in glaucoma research, particularly in identifying DNM1L as a therapeutic target. Key methodological approaches and findings include:
Antibody-based therapeutic approach:
Mechanism investigation:
Western blot analysis using DNM1L antibodies revealed altered phosphorylation of DNM1L and changed expression of apoptosis-related proteins following treatment
Analysis showed significantly increased XIAP expression (fold-change: 1.10 ± 0.12) in anti-DNM1L antibody-treated samples compared to IgG controls (fold-change: 0.69 ± 0.15, p < 0.05)
Proteomics integration:
Mass spectrometry analysis identified 28 up-regulated and 21 down-regulated proteins after anti-DNM1L antibody treatment
Protein pathway analysis revealed three main interacting clusters: vesicle traffic-associated (NSF, SNCA, ARF1), mitochondrion-associated (HSP9A, SLC25A5/ANT2, GLUD1), and cytoskeleton-associated (MAP1A) signaling pathways
Quantitative measurements:
These findings highlight that targeting DNM1L with antibodies represents a promising therapeutic approach for glaucoma, suggesting potential applications for testing DNM1L antibodies in other neurodegenerative conditions involving mitochondrial dysfunction.
DNM1L has emerged as an important factor in cancer research, particularly in lung adenocarcinoma (LUAD). The DNM1L (Ab-637) Antibody has been utilized in several methodological approaches:
Expression analysis in tumor tissues:
Functional studies in cancer cells:
Immune microenvironment analysis:
Prognostic biomarker validation:
This research suggests that DNM1L plays a multifaceted role in cancer biology, potentially serving as both a prognostic biomarker and therapeutic target. The antibody has been instrumental in elucidating these functions, demonstrating that beyond mitochondrial dynamics, DNM1L may influence cancer progression through effects on cell proliferation and the immune microenvironment.
DNM1L (Ab-637) Antibody has contributed significantly to cardiovascular research, revealing important connections between mitochondrial dynamics and heart disease:
These findings highlight DNM1L's critical role in cardiovascular pathophysiology and suggest that targeting mitochondrial dynamics could represent a novel therapeutic approach for heart diseases. The antibody has been essential for tracking both expression levels and functional changes in DNM1L across various cardiac conditions.
Non-specific binding is a common challenge when using DNM1L (Ab-637) Antibody. Here's a methodological approach to troubleshooting:
Optimize antibody dilution:
Adjust blocking conditions:
Try different blocking agents: 5% non-fat milk, 5% BSA, or commercial blocking buffers
Increase blocking time from 1 hour to 2-3 hours at room temperature
Add 0.1-0.3% Tween-20 to blocking buffer to reduce hydrophobic interactions
Optimize washing steps:
Increase number of washes (5-6 times for 5-10 minutes each)
Use higher concentration of Tween-20 in wash buffer (0.1-0.2%)
Consider using TBS instead of PBS if phosphorylated DNM1L is the target
Sample preparation refinements:
Include additional protease inhibitors in lysis buffer
Try different detergents in lysis buffer (e.g., CHAPS instead of Triton X-100)
Consider using mitochondrial fraction enrichment to increase target protein concentration
Validate with additional controls:
Use DNM1L knockdown samples as negative controls
Include both positive (cells with high DNM1L expression) and negative controls
Pre-absorb antibody with immunizing peptide to confirm specificity of bands
If persistent non-specific bands appear at ~60-65 kDa, these may represent degradation products of DNM1L or alternative splice variants. Multiple bands around 80-85 kDa often represent different phosphorylation states of DNM1L, particularly at Ser616 and Ser637, which regulate its activity .
Interpreting DNM1L phosphorylation patterns requires careful consideration of its regulatory mechanisms:
Key phosphorylation sites and their significance:
Ser616 phosphorylation (human; Ser635 in mouse):
Promotes mitochondrial fission activity
Increased in mitosis and by various stressors
Mediated by CDK1/cyclin B, ERK1/2, PKCδ, and CaMKIα
Ser637 phosphorylation (human; Ser656 in mouse):
Experimental interpretation guidelines:
Always normalize phospho-DNM1L to total DNM1L levels
Compare pSer616/pSer637 ratio as an indicator of fission/fusion balance
Consider subcellular localization - cytosolic vs. mitochondria-associated DNM1L
Common patterns and their meaning:
| Pattern | Biological Interpretation | Example Contexts |
|---|---|---|
| ↑ pSer616, ↔ pSer637 | Enhanced fission activity | Mitosis, cellular stress, hypoxia |
| ↔ pSer616, ↓ pSer637 | Enhanced fission via reduced inhibition | Apoptosis, calcium flux |
| ↓ pSer616, ↑ pSer637 | Reduced fission, fusion predominance | Starvation, AMPK activation |
| ↑ pSer616, ↑ pSer637 | Complex regulation, context-dependent | Some pathological states |
Research context examples:
In glaucoma models, anti-DNM1L antibody treatment altered DNM1L phosphorylation patterns, correlating with neuroprotection
In FCCP-induced stress, wild-type cells showed DNM1L-Ser616 and MAPK/ERK phosphorylation while mutant cells did not, despite similar total protein levels
In mitochondrial clearance experiments, knockdown of DNM1L affected mitochondrial network integrity more prominently in mutant MEFs, indicating preexisting impaired DNM1L activation
When interpreting your results, consider that changes in phosphorylation may occur without changes in total DNM1L levels, and alterations in the phosphorylation ratio often provide more insight than absolute changes in individual sites.
Differentiating between DNM1L isoforms requires careful methodological approaches:
Understanding DNM1L isoform diversity:
Western blot strategies for isoform differentiation:
Use higher resolution gels (8-10% acrylamide with longer run times)
Consider using gradient gels (4-12%) for better separation
Run samples longer to maximize band separation
Include positive controls for different isoforms when available
Advanced techniques for isoform identification:
2D gel electrophoresis:
First dimension: Isoelectric focusing (IEF)
Second dimension: SDS-PAGE
Followed by immunoblotting with DNM1L (Ab-637) Antibody
RT-PCR analysis in parallel with protein detection:
Design primers specific to different splice variants
Correlate mRNA expression with protein band patterns
Mass spectrometry:
Immunoprecipitate with DNM1L (Ab-637) Antibody
Perform tryptic digestion and LC-MS/MS
Identify peptides unique to specific isoforms
Interpretation guidelines:
The main DNM1L isoform appears at ~80 kDa
Shorter isoforms typically appear at 70-78 kDa
Post-translational modifications (especially phosphorylation) can cause slight shifts in apparent molecular weight
Tissue-specific expression patterns may influence isoform distribution
For most accurate isoform differentiation, consider combining the DNM1L (Ab-637) Antibody with isoform-specific antibodies when available, or use genetic approaches (isoform-specific overexpression or knockdown) as complementary methods to validate band identity.
Designing comprehensive experiments to investigate DNM1L's role in mitochondrial dynamics requires multi-faceted approaches:
Mitochondrial morphology assessment:
Immunofluorescence co-localization:
Live-cell imaging:
Combine with fluorescently tagged constructs (mito-GFP)
Track fission events temporally in relation to DNM1L recruitment
Electron microscopy:
Use immunogold labeling with DNM1L (Ab-637) Antibody
Examine DNM1L localization at constriction sites
Functional manipulation studies:
Pharmacological approaches:
Apply mitochondrial fission inducers (FCCP, rotenone) or inhibitors (Mdivi-1)
Monitor DNM1L phosphorylation state changes via Western blot
Track translocation using fractionation followed by immunoblotting
Genetic approaches:
Knockdown/knockout DNM1L using siRNA or CRISPR-Cas9
Rescue with wild-type or mutant DNM1L variants
Assess mitochondrial network changes quantitatively
Interaction network analysis:
Co-immunoprecipitation:
Use DNM1L (Ab-637) Antibody to pull down DNM1L and interacting partners
Identify novel interactions through mass spectrometry
Proximity labeling:
Combine with BioID or APEX approaches
Validate interactions by immunoblotting with DNM1L (Ab-637) Antibody
Quantitative assessment metrics:
Morphological parameters:
Form factor (perimeter²/4π×area)
Aspect ratio (major axis/minor axis)
Average mitochondrial length and footprint
Functional readouts:
Mitochondrial membrane potential (TMRM, JC-1)
ROS production (MitoSOX)
ATP production rate
Oxygen consumption rate (Seahorse)
This experimental design framework allows for comprehensive investigation of both static and dynamic aspects of DNM1L function in mitochondrial dynamics, with the DNM1L (Ab-637) Antibody serving as a key tool for detection, localization, and interaction studies.
Studying DNM1L phosphorylation state changes in disease models requires sophisticated methodological approaches that can detect subtle modifications with high specificity:
Phospho-specific antibody strategies:
Kinase/phosphatase manipulation approaches:
Pharmacological interventions:
PKA activators (forskolin, cAMP analogs) → increase Ser637 phosphorylation
Calcineurin inhibitors (cyclosporin A, FK506) → prevent Ser637 dephosphorylation
ERK pathway modulators → affect Ser616 phosphorylation
Genetic approaches:
Express phosphomimetic (S→D/E) or phosphodeficient (S→A) DNM1L mutants
Knockdown specific kinases/phosphatases and assess DNM1L phosphorylation
CRISPR-mediated genome editing of phosphorylation sites
Advanced analytical techniques:
Phos-tag SDS-PAGE:
Enhanced separation of phosphorylated from non-phosphorylated forms
Follow with Western blotting using DNM1L (Ab-637) Antibody
Quantify multiple phosphorylation states simultaneously
Mass spectrometry-based phosphoproteomics:
Immunoprecipitate DNM1L followed by LC-MS/MS
Quantify site-specific phosphorylation stoichiometry
Identify novel phosphorylation sites
Proximity ligation assay (PLA):
Detect interactions between DNM1L and kinases/phosphatases in situ
Correlate with mitochondrial morphology changes
Disease model-specific considerations:
In glaucoma models, anti-DNM1L antibody treatment significantly altered phosphorylation states, particularly affecting BAD phosphorylation (p112)
In LRRK2 mutant models, FCCP-induced stress revealed differential DNM1L-Ser616 and MAPK/ERK phosphorylation patterns between wild-type and mutant cells
In heart failure models like the Python mouse, altered DNM1L function affected mitochondrial morphology without obvious aggregation, suggesting subtle regulatory changes
When applying these methods to disease models, time-course experiments are particularly valuable, as phosphorylation changes often precede phenotypic alterations and may represent early therapeutic intervention points.
Integrating DNM1L research into broader investigations of cellular metabolism and disease pathogenesis requires methodological approaches that connect mitochondrial dynamics to downstream cellular processes:
Metabolic pathway analysis integration:
Metabolic flux analysis:
Combine DNM1L manipulation with stable isotope tracing (¹³C-glucose, ¹³C-glutamine)
Correlate DNM1L activity (detected via Ab-637) with TCA cycle activity and glucose oxidation
Measure glycolytic shifts using extracellular acidification rate (ECAR) and oxygen consumption rate (OCR)
Mitochondrial function assessment:
ATP production capacity in response to DNM1L manipulation
Mitochondrial membrane potential changes using potentiometric dyes
ROS production using fluorescent indicators correlated with DNM1L activity or phosphorylation state
Multi-omics integration approaches:
Transcriptomics correlation:
RNA-seq following DNM1L manipulation or in disease models
Pathway analysis to identify gene expression networks affected by altered mitochondrial dynamics
Proteomics integration:
Compare proteome changes in response to DNM1L manipulation
In glaucoma models, anti-DNM1L antibody treatment revealed 28 up-regulated and 21 down-regulated proteins
Protein interaction networks showed three main interacting clusters: vesicle traffic-associated, mitochondrion-associated, and cytoskeleton-associated pathways
Metabolomics correlation:
Identify metabolite changes associated with altered DNM1L function
Focus on mitochondrial metabolites (TCA cycle intermediates, acylcarnitines)
Disease-specific mechanistic studies:
Cancer metabolism:
Neurodegeneration mechanisms:
Cardiovascular metabolism:
In the Python mouse model, DNM1L mutation led to approximately 50% reduction in ATP and total adenine nucleotide levels specifically in cardiac tissue
Investigate tissue-specific metabolic adaptations to altered mitochondrial dynamics
Explore connections to heart failure progression and therapeutic interventions
Therapeutic target validation:
Drug screening platforms:
Gene therapy approaches:
Assess viral delivery of DNM1L modulators in disease models
Monitor effects on mitochondrial function and broader cellular metabolism
Correlate therapeutic efficacy with changes in metabolic parameters
By integrating these methodological approaches, researchers can establish causal relationships between DNM1L-mediated mitochondrial dynamics and broader cellular metabolic reprogramming in disease states, potentially identifying new therapeutic targets and biomarkers.