Target: Phosphorylated Dematin (Ser403)
Host Species: Rabbit (polyclonal IgG)
Reactive Species: Human, Mouse
Immunogen: Synthesized peptide spanning amino acids 356–405 of human Dematin, encompassing the Ser403 phosphorylation site
Applications:
Western Blot Validation: Detects a ~45 kDa band in lysates from HepG2 cells treated with insulin (0.01 U/mL for 15 minutes). Specificity confirmed via peptide blocking assays .
Immunohistochemistry: Staining observed in paraffin-embedded human heart tissue, with signal abolished by phospho-peptide competition .
Cross-Reactivity: No reported cross-reactivity with non-phosphorylated Dematin or unrelated proteins .
Dematin’s phosphorylation at Ser403 by protein kinase A (PKA) inhibits its actin-bundling activity, altering cytoskeletal dynamics. This antibody enables studies on:
Actin Network Stability: Phospho-Dematin dissociates from the spectrin-actin junction in erythrocytes, affecting membrane mechanical properties .
Cellular Motility: In platelets, phosphorylated Dematin regulates filopodia/lamellipodia formation during spreading and migration .
Erythrocyte Disorders: Dematin phosphorylation modulates erythrocyte shape and membrane integrity, with implications in hemolytic anemias .
Cancer Biology: Acts as a tumor suppressor; loss of phosphorylation correlates with malignant transformation .
RhoA Signaling: Phospho-Dematin inhibits RhoA activation, influencing cell adhesion and motility .
Calcium Mobilization: Regulates internal calcium release in platelets, affecting aggregation and secretion .
Dematin (DMTN) is a membrane-cytoskeleton-associated protein with F-actin-binding activity that induces F-actin bundle formation and stabilization. It plays a critical role in membrane stability, particularly in erythrocytes where it binds to the erythrocyte membrane glucose transporter-1 (SLC2A1/GLUT1), stabilizing and attaching the spectrin-actin network to the erythrocytic plasma membrane .
The phosphorylation of Dematin at Ser403 by Protein Kinase A (PKA) causes a significant conformational change where the C-terminal headpiece domain associates with the N-terminal core domain. This phosphorylation event leads to the inhibition of Dematin's actin bundling activity, thereby regulating cytoskeletal dynamics . This post-translational modification represents a crucial regulatory mechanism for membrane-cytoskeletal interactions.
For optimal stability and performance, Phospho-DMTN (S403) antibodies should be stored at -20°C for up to 1 year from the date of receipt . For short-term storage and frequent use, storing at 4°C for up to one month is recommended . It is crucial to avoid repeated freeze-thaw cycles as this can compromise antibody quality and specificity .
Most commercial preparations are formulated as liquids in PBS containing 50% glycerol, 0.5% BSA, and 0.02% sodium azide to maintain stability . This formulation helps preserve antibody structure and function during storage.
To ensure experimental validity when using Phospho-DMTN (S403) antibodies, the following controls should be included:
Positive control: Lysates from cells known to express phosphorylated Dematin at Ser403, such as erythrocytes or cells treated with PKA activators
Negative control: Samples treated with phosphatase to remove phosphorylation modifications
Specificity control: Non-phosphorylated Dematin peptide/protein to confirm the absence of cross-reactivity
Loading control: Housekeeping proteins (like GAPDH) to normalize protein loading across samples
For cell-based assays, the Dematin (Phospho-Ser403) Colorimetric Cell-Based ELISA Kit includes appropriate controls to monitor relative amounts of Phospho-DMTN (S403) alongside total DMTN and GAPDH as normalization controls .
To accurately preserve and detect Dematin phosphorylation at Ser403, careful sample preparation is essential:
Rapid sample processing: Quickly process samples to minimize dephosphorylation by endogenous phosphatases
Phosphatase inhibitors: Include a cocktail of phosphatase inhibitors (e.g., sodium fluoride, sodium orthovanadate, β-glycerophosphate) in all lysis buffers
Appropriate lysis buffer: Use a buffer containing 50 mM Tris-HCl (pH 7.4), 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate with protease and phosphatase inhibitors
Sample handling: Maintain samples on ice throughout processing and avoid repeated freeze-thaw cycles
Phospho-enrichment: For low abundance detection, consider phosphopeptide enrichment using TiO₂ magnetic beads prior to analysis
For reproducible results in Western blotting applications, samples should be denatured at 95°C for 5 minutes in Laemmli buffer containing SDS and β-mercaptoethanol, then loaded at 20-50 μg of total protein per lane .
For optimal Western blot detection of Phospho-DMTN (S403), the following protocol is recommended:
Gel selection: Use 10-12% SDS-PAGE gels for optimal resolution around the expected molecular weight of Dematin (45.5 kDa)
Transfer conditions: Transfer to PVDF membrane at 100V for 90 minutes using a wet transfer system with transfer buffer containing 25 mM Tris, 192 mM glycine, 20% methanol
Blocking: Block membrane in 5% BSA in TBST (not milk, which contains phosphatases) for 1 hour at room temperature
Primary antibody: Dilute Phospho-DMTN (S403) antibody 1:500-1:2000 in 5% BSA/TBST and incubate overnight at 4°C
Washing: Perform 3-5 washes with TBST, 5 minutes each
Secondary antibody: Use appropriate HRP-conjugated anti-rabbit IgG (typically 1:5000) in 5% BSA/TBST for 1 hour at room temperature
Detection: Develop using enhanced chemiluminescence (ECL) substrate with expected molecular weight observation around 39-45 kDa
Note that the observed molecular weight may differ slightly from the calculated molecular weight (45.5 kDa) due to post-translational modifications .
To distinguish between specific and non-specific binding when using Phospho-DMTN (S403) antibodies, implement the following strategies:
Phosphatase treatment control: Treat duplicate samples with lambda phosphatase to remove phosphorylation. Specific phospho-antibody signal should disappear in treated samples
Peptide competition assay: Pre-incubate the antibody with excess phosphorylated peptide (corresponding to Ser403 region) to block specific binding sites. Signal reduction indicates specific binding
Mutagenesis validation: Use samples from cells expressing S403A Dematin mutant (where phosphorylation cannot occur) as a negative control
Specificity measurement: Implement whole-cell immunocytochemistry assays with flow cytometry to provide quantitative measurement of specificity (Φ), comparing binding to wild-type versus mutant cells
Cross-reactivity testing: Test against other phosphorylated proteins, particularly those with similar phosphorylation motifs
High-specificity antibodies will show strong signal reduction in these validation tests, while non-specific antibodies will maintain signal regardless of these controls .
Dematin phosphorylation at Ser403 plays a crucial role in erythrocyte maturation and membrane dynamics:
Reticulocyte maturation: Research on reticulocyte maturation to erythrocytes has identified differential phosphorylation status of cytoskeletal proteins, including Dematin, as key regulatory mechanisms during this process
Membrane flexibility regulation: The phosphorylation of Dematin at Ser403 inhibits its actin bundling activity, which directly influences membrane flexibility needed for erythrocyte passage through capillaries
Spectrin-actin network dynamics: Phosphorylated Dematin alters its interaction with the spectrin-actin network, affecting membrane stability and deformability
Glucose transport modulation: Dematin's interaction with glucose transporter-1 (GLUT1) is influenced by its phosphorylation state, potentially affecting glucose metabolism in erythrocytes
Diagnostic implications: Delayed reticulocyte maturation phenotypes, such as those observed in hereditary xerocytosis patients, may involve dysregulation of cytoskeletal protein phosphorylation pathways
Advanced microscopy and microfluidic techniques combined with phosphoproteomics have demonstrated that these phosphorylation events are critical for capillary transit and maintenance of membrane stability following deformation .
Distinguishing Phospho-DMTN (S403) from other phosphorylated proteins presents several technical challenges:
Similar phosphorylation motifs: Ser403 in Dematin may share sequence similarities with phosphorylation sites in other proteins, increasing the risk of cross-reactivity
Phosphorylation dynamics: The transient nature of phosphorylation events makes timing of sample collection critical for accurate detection
Antibody specificity limitations: Even highly-specific antibodies may recognize similar phosphorylated epitopes in other proteins, necessitating validation across multiple techniques
Epitope accessibility: The three-dimensional structure of proteins can mask phosphorylation sites, affecting antibody recognition
Signal-to-noise ratio: Low abundance of phosphorylated forms requires sensitive detection methods with minimal background
These challenges can be addressed through rigorous validation strategies:
Employ complementary techniques such as mass spectrometry-based phosphoproteomics to confirm antibody-based findings
Use combination approaches of phospho-enrichment followed by targeted analysis
Implement competitive binding assays with phosphopeptides representing the target site
Integrate bioinformatic analysis to predict potential cross-reactive epitopes
Phospho-DMTN (S403) antibodies can be effectively integrated into multi-parameter studies of cytoskeletal dynamics through several advanced approaches:
Multiplexed immunofluorescence: Combined staining for Phospho-DMTN (S403) with other cytoskeletal proteins (e.g., actin, spectrin) and their phosphorylated forms to visualize spatial relationships and co-localization patterns
Tandem mass tagging (TMT) phosphoproteomics: Implementation of TMT labeling with phospho-enrichment strategies to quantitatively measure Dematin phosphorylation alongside other cytoskeletal proteins under various conditions
Live-cell imaging: Using cell-permeable phospho-sensors in combination with fixed-cell antibody staining to correlate dynamic changes with steady-state measurements
Correlative microscopy workflows: Integrating light microscopy with electron microscopy to connect phosphorylation events to ultrastructural changes in the cytoskeleton
Microfluidic deformation assays: Combining phosphoproteomics with mechanical stress tests to understand how phosphorylation status affects cellular response to deformation
This multi-parameter approach has revealed that "combined inhibition of GSK3 and Lyn significantly decreases RBC capacity to undergo repeated deformation," highlighting the interconnected nature of phosphorylation networks in cytoskeletal regulation .
When encountering weak or absent Phospho-DMTN (S403) signal, consider implementing these troubleshooting strategies:
Sample preparation optimization:
Ensure phosphatase inhibitors are fresh and used at appropriate concentrations
Minimize time between sample collection and processing
Verify protein extraction efficiency with total DMTN antibody
Antibody optimization:
Test a range of antibody dilutions beyond the recommended range (1:250-1:5000)
Extend primary antibody incubation time to overnight at 4°C
Try alternative blocking reagents (BSA vs. casein vs. commercial blockers)
Signal enhancement strategies:
Technical considerations:
For membrane proteins, optimize lysis conditions to ensure complete solubilization
Test various fixing protocols for immunostaining applications
Verify that phosphorylation stimulus (e.g., PKA activation) was effective
For cell-based detection, the specialized Dematin (Phospho-Ser403) Colorimetric Cell-Based ELISA Kit may provide more reliable detection with optimized reagents and protocols .
For quantitative assessment of Dematin phosphorylation changes across experimental conditions, researchers should employ these methodological approaches:
Normalization strategies:
Always normalize phospho-signal to total DMTN protein levels
Include housekeeping proteins (e.g., GAPDH, β-actin) as loading controls
Use ratio-metric analysis of phosphorylated to non-phosphorylated forms
Quantitative techniques:
Temporal considerations:
Design time-course experiments to capture phosphorylation dynamics
Include multiple time points after stimulus application
Consider pulse-chase approaches to track phosphorylation turnover
Statistical analysis:
For high-throughput screening of compounds affecting Dematin phosphorylation, cell-based ELISA methodologies offer advantages in quantitative assessment across multiple conditions simultaneously .
When comparing results from different phospho-specific antibodies targeting the same protein (e.g., different Phospho-DMTN antibodies), researchers should consider these methodological factors:
Epitope recognition differences:
Antibodies may recognize different amino acid sequences surrounding the phosphorylation site
Some antibodies may be sensitive to neighboring modifications
Conformational changes may affect epitope accessibility differentially across antibodies
Validation requirements:
Technical standardization:
Use identical sample preparation protocols
Apply consistent blocking and washing procedures
Optimize each antibody independently before comparative studies
Reporting considerations:
Document lot numbers of antibodies used
Report all validation experiments performed
Note any discrepancies between antibodies from different sources
Complementary approaches:
Validate key findings with orthogonal techniques (mass spectrometry)
Consider using multiple antibodies targeting different epitopes of the same phosphorylation site
Implement genetic approaches (phosphomimetic mutations) to validate antibody results
This methodological rigor is particularly important for phospho-specific antibodies, as their specificity can vary significantly depending on the immunogen design and screening process used during development .
Advanced imaging techniques offer significant potential for enhancing our understanding of Dematin phosphorylation dynamics:
Super-resolution microscopy: Techniques like STORM, PALM, or STED could reveal nanoscale spatial organization of phosphorylated Dematin within the membrane-cytoskeletal network, providing insights into how phosphorylation affects molecular clustering and interaction with binding partners
Live-cell phosphorylation sensors: Development of FRET-based sensors for Dematin phosphorylation would enable real-time visualization of phosphorylation events in living cells, capturing dynamic changes upon various stimuli
Correlative light and electron microscopy (CLEM): Combining immunofluorescence detection of Phospho-DMTN (S403) with electron microscopy could connect phosphorylation status to ultrastructural changes in the cytoskeleton
Intravital microscopy: Imaging phosphorylation events in vivo could reveal physiological regulation of Dematin phosphorylation in intact tissues and organisms
Lattice light-sheet microscopy: This technique would allow for high-speed, low-phototoxicity imaging of phosphorylation dynamics during cellular processes such as erythrocyte maturation or deformation
These advanced imaging approaches would complement existing biochemical and proteomic methods, providing spatial and temporal context to the regulatory role of Dematin phosphorylation in cytoskeletal dynamics and cellular function .
The relationship between Dematin Ser403 phosphorylation and other post-translational modifications (PTMs) represents an important area for future research:
Integrative PTM analysis: Studies employing multiple PTM enrichment strategies (phosphorylation, acetylation, methylation) suggest complex interplay between different modifications on cytoskeletal proteins
Crosstalk mechanisms: Phosphorylation at Ser403 may influence or be influenced by other PTMs through:
Sequential modification patterns (one PTM enabling or blocking another)
Competition for the same or adjacent residues
Conformational changes affecting enzyme accessibility
PTM code hypothesis: Multiple PTMs on Dematin may constitute a "code" that collectively determines protein function, similar to the histone code
Temporal dynamics: Different PTMs may occur with distinct kinetics following stimulation, creating temporally regulated function
Compartment-specific modifications: PTMs may vary based on subcellular localization, potentially creating functionally distinct pools of Dematin
Research integrating protein phosphorylation, acetylation, and methylation datasets has begun to outline signaling networks in various cell types , suggesting similar approaches could reveal important insights into Dematin regulation. Malaria parasite studies have demonstrated the value of comprehensive PTM-omics (including phosphorylation, acetylation, crotonylation, 2-hydroxyisobutyrylation, N-glycosylation, and ubiquitination) for understanding protein function in complex biological systems .
Computational approaches offer promising avenues for advancing our understanding of Dematin phosphorylation networks:
Phosphorylation site prediction: Machine learning algorithms can predict potential phosphorylation sites based on sequence and structural features, generating hypotheses for experimental validation
Molecular dynamics simulations: Computational modeling of Dematin structure with and without Ser403 phosphorylation could reveal conformational changes that explain functional effects
Network analysis: Integration of phosphoproteomic data into protein-protein interaction networks can reveal how Dematin phosphorylation fits into broader signaling cascades
Kinase-substrate prediction: Computational approaches can predict which kinases (beyond PKA) might phosphorylate Dematin under different conditions
Multi-omics integration: Combining phosphoproteomics with transcriptomics and other omics datasets could reveal regulatory relationships between Dematin phosphorylation and gene expression programs
Machine learning diagnostics: As demonstrated in rare anemia research, machine learning-based systems could identify disease signatures associated with aberrant Dematin phosphorylation, potentially achieving prediction accuracies of up to 92%
These computational approaches, especially when combined with experimental validation, could significantly accelerate our understanding of how Dematin phosphorylation contributes to cytoskeletal regulation in health and disease.
The relationship between Dematin phosphorylation and phase separation mechanisms represents an emerging area of research interest:
Liquid-liquid phase separation (LLPS): Research on other proteins like TDP-43 has shown that phosphorylation at specific serine residues (including S403) can significantly alter LLPS behavior
Phosphorylation effects on LLPS: Like the phosphomimetic variants of TDP-43 that display biphasic dependence on salt concentration, Dematin phosphorylation might similarly modulate its capacity to undergo phase separation under different ionic conditions
Hydrophobic and electrostatic interactions: Phosphorylation of Dematin at Ser403 likely alters the balance between hydrophobic and electrostatic interactions that typically drive LLPS, potentially affecting:
Assembly/disassembly of cytoskeletal structures
Recruitment of binding partners
Formation of membrane-associated condensates
Coarse-grained modeling potential: Computational approaches similar to those used for TDP-43 could be applied to model how Dematin phosphorylation affects its phase separation properties
Pathological implications: If Dematin phosphorylation affects its phase separation properties, this could have implications for disease states where aberrant condensate formation contributes to pathology
This cross-disciplinary perspective connecting phosphorylation to phase separation physics could provide novel insights into how post-translational modifications regulate cytoskeletal dynamics through biophysical mechanisms beyond simple protein-protein interactions.
Dematin Ser403 phosphorylation may have significant implications for multiple disease pathophysiologies:
Hematological disorders:
Cancer biology:
Neurodegenerative diseases:
Infectious diseases:
Cardiovascular disorders:
Cytoskeletal regulation in endothelial cells is crucial for vascular function
Dematin phosphorylation could affect endothelial barrier integrity through modulation of the actin cytoskeleton
These pathophysiological connections highlight the importance of understanding Dematin phosphorylation in both basic and translational research contexts.
Targeting Dematin phosphorylation could potentially lead to several innovative therapeutic approaches:
Kinase inhibitor development:
PKA inhibitors could modulate Dematin phosphorylation at Ser403
Specificity might be achieved through targeting PKA scaffold proteins that localize the kinase to Dematin
Phosphatase activation strategies:
Enhancing the activity of phosphatases that dephosphorylate Dematin could provide an alternative regulatory approach
Targeted phosphatase recruitment to Dematin could offer specificity
Peptide-based interventions:
Peptides mimicking the Ser403 region could compete for kinase binding
Cell-penetrating phosphomimetic peptides might disrupt Dematin interactions
Structure-based drug design:
Compounds designed to bind the phosphorylated or unphosphorylated conformation of Dematin could stabilize specific functional states
This approach could either prevent phosphorylation or mimic its effects
Gene therapy approaches:
Delivery of phosphomimetic (S403D) or phospho-resistant (S403A) Dematin variants could modulate cytoskeletal dynamics in targeted cells
CRISPR-based editing of the endogenous Dematin gene could provide long-term modification of phosphorylation potential
Combination therapies:
These therapeutic strategies would require thorough validation in cellular and animal models before clinical translation, but they represent promising avenues for addressing diseases involving cytoskeletal dysregulation.
When interpreting Phospho-DMTN (S403) data within the broader context of cytoskeletal research, researchers should consider:
Phosphorylation network integration: Dematin Ser403 phosphorylation represents one node in complex signaling networks regulating cytoskeletal dynamics. Data interpretation should account for concurrent phosphorylation events on other cytoskeletal proteins
Temporal dynamics: The transient nature of phosphorylation events means that timing of sample collection critically influences results. Time-course experiments are essential for complete interpretation
Cellular heterogeneity: Single-cell techniques may reveal population heterogeneity masked in bulk analyses, particularly important in tissues with mixed cell types
Technical limitations: Antibody specificity remains a central challenge in phosphorylation research. Data should be interpreted with awareness of potential cross-reactivity issues
Integrated multi-omics perspective: Combining phosphoproteomics with other omics approaches provides more comprehensive understanding than phosphorylation data alone
These considerations emphasize the importance of contextualizing Phospho-DMTN (S403) findings within the broader landscape of cellular signaling and cytoskeletal regulation.
Future methodological innovations are likely to substantially enhance Phospho-DMTN (S403) detection:
Next-generation antibody engineering:
Recombinant antibody development with enhanced specificity and sensitivity
Single-domain antibodies (nanobodies) offering improved access to sterically hindered phospho-epitopes
Synthetic antibody mimetics with tailored binding properties
Advanced MS-based approaches:
Targeted mass spectrometry methods with improved sensitivity for phosphopeptide detection
Ion mobility separation enhancing phosphopeptide discrimination
Novel fragmentation methods for improved phosphosite localization
Single-cell phosphoproteomics:
Methods to detect Dematin phosphorylation in individual cells
Spatial phosphoproteomics to map phosphorylation patterns within tissues
Biosensor development:
FRET-based sensors for real-time visualization of Dematin phosphorylation
Electrochemical biosensors for rapid, sensitive phospho-detection
Artificial intelligence applications:
Machine learning algorithms to improve phosphosite prediction
Deep learning approaches to enhance image analysis in phospho-immunostaining