Protein Role: DTX3 (Deltex Homolog 3) is a 347-amino-acid, 38 kDa protein containing a RING-type zinc finger domain. It regulates Notch signaling, influencing cell fate determination, apoptosis, and cancer progression .
HRP Conjugation: Horseradish peroxidase (HRP) is enzymatically linked to the antibody, enabling chromogenic or chemiluminescent detection in assays like Western blotting (WB), immunohistochemistry (IHC), and ELISA .
Detection: Use chromogenic substrates (e.g., DAB) or chemiluminescence .
Buffer Requirements: Avoid BSA, Tris, or sodium azide in antibody buffer .
Cancer Studies: DTX3 inhibits epithelial-mesenchymal transition in papillary thyroid carcinoma by ubiquitinating XRCC5 .
Cell Cycle Regulation: DTX3 upregulates E2F transcription factor 1, slowing colorectal cancer growth .
Notch Signaling: Acts as a negative regulator, fine-tuning Notch pathway activity .
DTX3, also known as Deltex3 or RING finger protein 154 (RNF154), is a 347 amino acid protein containing one RING-type zinc finger domain. It belongs to the Deltex family and functions as a regulator of Notch signaling pathways. DTX3 plays a dual role as both a negative and positive regulator of Notch signaling, depending on the specific developmental and cellular context .
The protein primarily functions as a homomultimer but can also form heteromultimers with other Deltex family members, enhancing its regulatory capabilities. DTX3 exhibits highest E3 ligase activity when working in conjunction with the E2 enzyme UBE2D, which underscores the importance of protein-protein interactions in its functional regulation .
DTX3 is a 38 kDa protein consisting of 347 amino acids. Its observed molecular weight in Western blot analysis corresponds to its calculated molecular weight. The protein contains:
One RING-type zinc finger domain
Two WWE domains critical for its function as an E3 ubiquitin ligase
Various structural elements that facilitate interactions with other members of the Notch signaling pathway
Two isoforms of DTX3 arise from alternative splicing, contributing to the complexity of its regulatory roles in cellular signaling pathways .
Horseradish Peroxidase (HRP) conjugation involves covalently attaching the HRP enzyme to an antibody to create a detection reagent. This conjugation provides several advantages for research applications:
Increased sensitivity through enzymatic signal amplification
Enhanced detection capabilities in multiple assay formats (WB, IHC, ELISA)
Improved signal-to-noise ratio in experimental readouts
Compatibility with various detection substrates and systems
HRP conjugation to antibodies is typically achieved by linking through lysine residues on HRP because there are only six of them, and their modification doesn't adversely affect enzyme activity . Modern conjugation kits offer directional covalent bonding of HRP to antibodies at near neutral pH, allowing high conjugation efficiency with 100% antibody recovery .
DTX3 antibodies have been validated for multiple applications with specific recommendations for optimal usage:
| Application | Recommended Dilution | Validated Samples |
|---|---|---|
| Western Blot (WB) | 1:2000-1:10000 | Mouse kidney, ovary, testis, brain; rat testis tissue; hTERT-RPE1 cells |
| Immunohistochemistry (IHC) | 1:20-1:200 | Human kidney tissue, human colon tissue |
| ELISA | Application-dependent | Various human and mouse samples |
For IHC applications, antigen retrieval is typically performed with TE buffer at pH 9.0, though citrate buffer at pH 6.0 may be used as an alternative .
The choice between polyclonal and monoclonal DTX3 antibodies depends on experimental goals:
Polyclonal antibodies (such as 25304-1-AP):
Recognize multiple epitopes on the DTX3 protein
Provide stronger signals in applications where sensitivity is crucial
Optimal for detecting low abundance proteins or denatured forms
Better at capturing various isoforms or slightly modified forms of DTX3
Monoclonal antibodies (such as C-10):
Recognize a single epitope with high specificity
Provide more consistent results across experiments
Superior for distinguishing between closely related proteins
Preferred for quantitative applications requiring high reproducibility
For detecting novel or poorly characterized modifications of DTX3, polyclonal antibodies may be preferable. For comparative studies requiring high reproducibility, monoclonal antibodies might be more suitable .
To maintain the activity and stability of HRP-conjugated DTX3 antibodies:
Store at -20°C for long-term storage
For antibodies in a solution containing glycerol (such as the 25304-1-AP with 50% glycerol), aliquoting is unnecessary for -20°C storage
Avoid repeated freeze-thaw cycles that can degrade both antibody binding capacity and HRP enzymatic activity
Store in appropriate buffer systems (typically PBS with 0.02% sodium azide and 50% glycerol at pH 7.3)
Ensure sodium azide concentration is minimal, as it is an irreversible inhibitor of HRP
For working solutions, store at 4°C for short-term (1-2 weeks) use
The antibody should remain stable for one year after shipment when stored properly at -20°C .
Verifying antibody specificity is crucial for obtaining reliable results. Recommended methods include:
Knockdown/Knockout validation: Use siRNA or CRISPR-Cas9 systems to reduce or eliminate DTX3 expression, then confirm the corresponding reduction or absence of signal with the antibody. Published research has validated DTX3 antibodies using KD/KO approaches .
Multiple antibody approach: Use antibodies recognizing different epitopes of DTX3 to confirm consistent detection patterns.
Antigen competition assay: Pre-incubate the antibody with purified DTX3 protein or immunogen peptide before application to demonstrate signal reduction.
Positive and negative control tissues: Include tissues known to express (mouse kidney, ovary, testis, brain) or not express DTX3 based on published data .
Western blot molecular weight verification: Confirm detection at the expected 38 kDa size, matching the calculated molecular weight of DTX3 .
When investigating DTX3's role in Notch signaling, researchers should consider:
Cell type selection: Choose cell types where Notch signaling is active and relevant to research questions (hTERT-RPE1 cells have been validated for DTX3 expression) .
Pathway activation/inhibition: Include experimental conditions that activate or inhibit Notch signaling to observe DTX3's regulatory effects.
Interaction partners: Consider co-immunoprecipitation studies to investigate DTX3's interactions with other Deltex family members and Notch pathway components.
Functional assays: Include readouts for ubiquitination activity, as DTX3 functions as an E3 ubiquitin ligase, particularly in conjunction with the E2 enzyme UBE2D .
Isoform specificity: Account for the two known isoforms of DTX3 that arise from alternative splicing, which may have distinct functional roles .
Localization studies: Incorporate subcellular localization experiments to determine the compartmentalization of DTX3 during active Notch signaling.
The method of HRP conjugation can significantly impact experimental results:
Conjugation chemistry: Different linking chemistries can affect the orientation of the antibody and HRP molecules, potentially impacting antigen recognition and enzymatic activity.
Molar ratio optimization: The ideal molar ratio between antibody and HRP should be between 1:4 and 1:1 (Ab:HRP). Considering molecular weights (160,000 versus 40,000), for 1 mg HRP, 1-4 mg of antibody is recommended for optimal conjugation .
Buffer considerations: Avoid buffers containing nucleophilic components such as primary amines and thiols (e.g., thiomersal/thimerosal) as they may react with conjugation chemicals. Sodium azide should be strictly avoided as it irreversibly inhibits HRP .
Antibody concentration: For optimal conjugation results, the antibody should be at a concentration of 0.5-5.0 mg/ml in a volume of up to 1 ml .
Recombinant versus chemical conjugation: Recombinant production of HRP-antibody conjugates can provide more consistent stoichiometry compared to chemical conjugation methods, though both approaches have their advantages depending on the specific application .
Common issues and their solutions include:
High background in Western blots:
Increase blocking time and concentration
Optimize primary and secondary antibody dilutions
Use more stringent washing steps
Include detergents like Tween-20 in wash buffers
Weak or no signal in IHC:
Multiple bands in Western blot:
Verify sample preparation (complete denaturation)
Check for post-translational modifications of DTX3
Consider the presence of different isoforms or degradation products
Optimize antibody dilution to reduce non-specific binding
Loss of HRP activity:
A generalized protocol for HRP conjugation to DTX3 antibodies:
Prepare the antibody:
Ensure the DTX3 antibody is in an amine-free buffer (HEPES, MES, MOPS, or phosphate) at pH 6.5-8.5
Achieve a concentration of 0.5-5.0 mg/ml in a volume up to 1 ml
Remove any buffer components containing thiols or high concentrations of amines
Prepare HRP:
Most commercial kits provide lyophilized HRP mix ready for conjugation
Rehydrate according to manufacturer instructions
Activate conjugation chemistry:
For thiol-based conjugation, thiolate the antibody using appropriate reagents
Add modifier reagent to the antibody solution (typically 1/10 volume) and mix gently
Add the antibody-modifier mixture to the lyophilized HRP
Allow conjugation to proceed:
Typical incubation times range from 30 minutes to 3 hours at room temperature
Longer incubation times may be required for higher efficiency
Quench the reaction:
Add quencher reagent (typically 1/10 volume of the original antibody volume)
Incubate for 30 minutes at room temperature
Purify the conjugate (optional):
Commercial kits like the LYNX Rapid HRP Antibody Conjugation Kit simplify this process with pre-measured components and optimized protocols .
When faced with conflicting results:
Validate antibody performance in each system:
Consider context-dependent expression and function:
Evaluate experimental parameters:
Sample preparation methods may affect epitope accessibility
Buffer conditions can influence antibody-antigen interactions
Detection systems vary in sensitivity and dynamic range
Account for isoform differences:
Consider post-translational modifications:
As an E3 ubiquitin ligase, DTX3 itself may undergo modifications that affect detection
Different experimental conditions may promote different modification states
Integrating HRP-conjugated DTX3 antibodies into multiplexed detection systems:
Sequential multiplexing:
Use HRP-conjugated DTX3 antibody first with chromogenic substrate
Inactivate HRP with hydrogen peroxide treatment
Apply subsequent antibodies with different detection systems
Spectral unmixing approaches:
Combine HRP-conjugated DTX3 antibody with fluorophore-conjugated antibodies targeting other proteins
Use computational methods to separate overlapping signals
Tyramide signal amplification (TSA):
Leverage HRP's ability to catalyze the deposition of tyramide-conjugated fluorophores
Enable sequential multi-color staining by heat-inactivating HRP between rounds
Spatial profiling:
Combine with advanced imaging techniques to map DTX3 expression in relationship to other Notch pathway components
Correlate with functional outcomes to understand spatial regulation
Comparing recombinant production with chemical conjugation:
| Aspect | Recombinant Production | Chemical Conjugation |
|---|---|---|
| Consistency | Highly consistent stoichiometry | May have batch-to-batch variation |
| Orientation | Controlled orientation of HRP relative to antibody | Random attachment points |
| Scalability | Easier to scale once expression system is established | More straightforward for small-scale preparation |
| Functionality | May retain more native antibody binding capacity | May affect antibody binding if conjugation occurs near binding site |
| Accessibility | Requires specialized expression systems (e.g., P. pastoris) | Accessible to most laboratories with appropriate kits |
For optimizing detection across varied expression levels:
Titrate antibody concentration:
Adjust signal amplification:
For tissues with low expression, use polymer-based detection systems
For highly expressing tissues, use direct detection methods
Optimize antigen retrieval:
Consider alternative detection substrates:
Use high-sensitivity substrates for low-expressing tissues
Use substrates with broader dynamic range for comparing tissues with variable expression
Sample preparation optimization:
Adjust fixation times based on tissue type
Optimize section thickness for balanced signal and morphology preservation