DMP4 (FAM20C) is a 584-amino acid residue protein with critical functions in cellular physiology:
Localization: Primarily located in the endoplasmic reticulum (ER), Golgi apparatus, and extracellular space .
Function:
Post-Translational Modifications: Includes N-glycosylation, phosphorylation, and proteolytic cleavage .
DMP4 antibodies are typically rabbit-derived polyclonal antibodies developed using synthetic peptide immunogens. Key features include:
Western Blot: Detects DMP4 at ~66 kDa in HepG2 cell lysates .
Immunohistochemistry: Localizes DMP4 in formalin-fixed paraffin-embedded tissues, such as human breast carcinoma .
Cell Culture Studies: Used to analyze DMP4 secretion in U87-MG conditioned medium .
Mineralization: DMP4’s role in dentin mineralization is studied using knockout models and antibody-blocking experiments .
Disease Associations: Mutations in FAM20C are linked to Raine syndrome, a skeletal dysplasia disorder .
Research Use Only: Not validated for diagnostic or therapeutic applications .
Species Reactivity: Limited data on non-human models beyond mouse .
Batch Variability: Polyclonal nature may lead to inter-lot variability .
DMP4 is an alias name for FAM20C (Family with sequence similarity 20 member C), a Golgi-associated secretory pathway kinase encoded by the FAM20C gene in humans. This 584-amino acid residue protein plays crucial roles in various biological processes, particularly cell differentiation. When designing experiments targeting this protein, researchers should be aware that antibodies may be labeled under either name in commercial catalogs .
DMP4/FAM20C is primarily localized to the endoplasmic reticulum (ER) and Golgi apparatus. Additionally, it functions as a secreted protein released from cells. This multi-compartmental distribution necessitates careful consideration when designing cellular localization studies, as different fixation and permeabilization protocols may be required depending on which cellular pool you're investigating .
DMP4/FAM20C undergoes several significant post-translational modifications including N-glycosylation, proteolytic cleavage, and phosphorylation. These modifications may affect antibody recognition and should be considered when selecting antibodies for specific applications. For instance, antibodies targeting regions that undergo proteolytic cleavage may yield different banding patterns in Western blot depending on the processing state of the protein .
Current commercial offerings include polyclonal and monoclonal DMP4 antibodies with various specifications:
| Antibody Type | Common Host Species | Typical Applications | Target Region | Available Conjugates |
|---|---|---|---|---|
| Polyclonal | Rabbit | WB, ELISA, IHC | C-terminal | Unconjugated |
| Monoclonal | Various | WB, IHC-p, ICC, IF | Various | Unconjugated |
Most available antibodies target human DMP4, with some cross-reacting with mouse. Researchers can select from various formats depending on their experimental needs .
DMP4 antibodies are commonly employed in multiple research applications including:
Western Blot (WB) for protein expression analysis
Enzyme-Linked Immunosorbent Assay (ELISA) for quantification
Immunohistochemistry (IHC) for tissue localization studies
Immunocytochemistry (ICC) for cellular localization
Immunofluorescence (IF) for high-resolution imaging
The choice of application should guide antibody selection, as performance varies across different techniques .
Optimization of antibody concentration is critical for balancing signal-to-noise ratio. Start with manufacturer-recommended dilutions (typically 1:1000 for Western blot applications) and perform a titration experiment to determine optimal concentration for your specific sample type. For immunohistochemistry applications, initial testing with a range of dilutions on positive control tissues is strongly recommended to establish optimal staining conditions .
Verifying antibody specificity is critical for reliable research outcomes. Consider implementing these validation approaches:
Use recombinant human FAM20C protein (such as R&D Systems 9265-FM) as a positive control
Include a knockdown or knockout sample as a negative control
Perform peptide competition assays using the immunizing peptide (positions 443-471 for some commercial antibodies)
Compare staining patterns across multiple antibodies targeting different epitopes of DMP4/FAM20C
Verify the predicted molecular weight (~65 kDa, though this may vary with post-translational modifications)
Proper validation ensures experimental reliability and facilitates accurate data interpretation.
Sample preparation significantly impacts DMP4 antibody performance:
For Western blot:
Use standard RIPA or NP-40 lysis buffers supplemented with protease and phosphatase inhibitors
Include reducing agents (β-mercaptoethanol or DTT) in sample buffer
Heat samples at 95°C for 5 minutes before loading
For IHC:
Formalin-fixed paraffin-embedded (FFPE) tissues should undergo antigen retrieval
For studying secreted DMP4, consider using tissues fixed with Bouin's solution which better preserves extracellular proteins
Fresh frozen sections may be preferable for certain epitopes sensitive to fixation
If experiencing weak or absent signals when performing Western blots with DMP4 antibodies:
Increase protein loading (40-50 μg per lane may be required for low-abundance samples)
Use enhanced chemiluminescence (ECL) substrates with higher sensitivity
Extend primary antibody incubation time (overnight at 4°C)
Ensure transfer efficiency by using Ponceau S staining
Verify protein expression in your sample type using reference databases
For small volume samples, briefly centrifuge the antibody vial as product may become entrapped in the seal during shipment
Proper experimental controls are essential for reliable results:
Including these controls supports proper interpretation of experimental outcomes and troubleshooting of unexpected results.
For optimal IHC results with DMP4 antibodies:
Perform antigen retrieval using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Block endogenous peroxidase activity using hydrogen peroxide solution
Use a protein blocking solution to minimize non-specific binding
Apply primary antibody at optimized dilution (start with 1:100-1:500) and incubate overnight at 4°C
For detection, use a high-sensitivity detection system such as polymer-based methods
Counterstain with hematoxylin for context, but avoid overstaining which may mask specific signals
Human breast carcinoma tissue has been validated as a suitable positive control tissue for DMP4 IHC studies
As a Golgi-associated secretory pathway kinase, FAM20C/DMP4 has important phosphorylation functions. To study this activity:
Utilize phospho-specific antibodies that recognize FAM20C substrates
Implement in vitro kinase assays using recombinant FAM20C protein
Employ mass spectrometry to identify phosphorylation sites in putative substrates
Use kinase inhibitors as negative controls to confirm specificity of observed phosphorylation
Consider genetic approaches (CRISPR/Cas9) to generate FAM20C mutants with altered kinase activity
This multi-faceted approach enables comprehensive characterization of DMP4/FAM20C kinase activity in various experimental contexts.
For researchers involved in translating DMP4 antibodies to therapeutic applications, humanization is a critical process that reduces immunogenicity while maintaining function:
CDR grafting: Transfer complementarity-determining regions (CDRs) from the original antibody to a human antibody scaffold
Framework selection: Choose appropriate human germline sequences with high sequence identity to the original antibody
Structural analysis: Identify framework residues that may need to be preserved to maintain binding properties
Affinity maturation: Optimize binding affinity through targeted mutations
Functional validation: Test humanized variants for antigen binding and biological activity
These approaches have been successfully applied to various therapeutic antibodies and could be employed for developing DMP4-targeted therapeutics .
The FAM20 family includes FAM20A, FAM20B, and FAM20C (DMP4), which share sequence homology. To assess antibody specificity:
Perform sequence alignments to identify regions unique to FAM20C/DMP4
Test antibody reactivity against recombinant proteins of all FAM20 family members
Utilize cell lines with knockout/knockdown of specific FAM20 members
Conduct epitope mapping to confirm the specific recognition site
Perform Western blots under conditions that can distinguish between family members based on molecular weight differences
This systematic approach helps ensure that observed signals specifically represent DMP4/FAM20C rather than related family members.
Higher molecular weight bands (75-80 kDa) due to N-glycosylation
Multiple bands resulting from proteolytic processing
Slight variations in apparent molecular weight across different tissue types due to tissue-specific post-translational modifications
When troubleshooting unexpected band patterns, consider sample preparation conditions, protein denaturation, and the specific epitope recognized by your antibody .
When performing immunofluorescence with DMP4 antibodies, expected staining patterns include:
Perinuclear staining consistent with Golgi localization
Reticular patterns indicating ER distribution
Punctate vesicular structures representing secretory vesicles
Extracellular matrix staining in some tissue types
Co-staining with organelle markers (e.g., GM130 for Golgi, calnexin for ER) can help confirm the specificity of observed localization patterns. Unexpected or diffuse cytoplasmic staining may indicate issues with antibody specificity or sample preparation .
Several factors can contribute to variability in DMP4/FAM20C detection:
Expression levels vary widely across tissue types
Cell culture conditions may alter protein expression and post-translational modifications
Fixation and sample preparation methods can affect epitope accessibility
Antibody lot-to-lot variations may impact performance
Cross-reactivity with related proteins in some species
Researchers should validate antibodies in their specific experimental system and include appropriate positive and negative controls to account for these variables.