The DPE2 antibody is a specialized immunological reagent designed to detect dipeptidase 2 (DPEP2), a metalloprotease involved in hydrolyzing leukotriene D4 (LTD4) into leukotriene E4 (LTE4). This antibody is widely utilized in research applications such as Western blotting (WB), immunohistochemistry (IHC), and enzyme-linked immunosorbent assays (ELISA) to study DPEP2 expression and function in human tissues .
The DPE2 antibody is generated by immunizing rabbits with a synthetic peptide (amino acids 138–171) conjugated to keyhole limpet hemocyanin (KLH). This immunogen is derived from the N-terminal region of human DPEP2, ensuring specificity for the target protein .
| Parameter | Specification |
|---|---|
| Host Species | Rabbit |
| Immunogen | KLH-conjugated peptide (aa 138–171) |
| Reactivity | Human DPEP2 |
| Molecular Weight | 53 kDa (predicted) |
| Purification | Protein A + peptide affinity |
The antibody undergoes rigorous validation across multiple platforms:
Dilution: 1:2,000
Sample: Human spleen lysates (20 µg/lane)
Secondary Antibody: Goat anti-rabbit IgG (1:10,000 dilution)
DPEP2 belongs to the metallo-dependent hydrolases superfamily and is critical in modulating inflammatory responses through leukotriene metabolism. Its enzymatic activity impacts pathways linked to oxidative stress and immune regulation .
| Parameter | Details |
|---|---|
| Gene Name | DPEP2 |
| Protein Full Name | Dipeptidase 2 |
| UniProt ID | Q9H4A9 |
| Chromosomal Location | 16q24.3 |
| Tissues Expressed | Spleen, liver, kidney |
Specificity: Validated using knockout controls and peptide-blocking assays .
Batch Consistency: Inter-assay coefficients of variation (CV) <10% for WB .
While DPEP2-specific studies dominate, research on analogous enzymes like PDC-E2 (pyruvate dehydrogenase complex) highlights shared challenges in epitope mapping. For instance, catalytic domains often harbor immunodominant epitopes , a principle that may extend to DPEP2 antibody design.
Advances in antibody engineering, such as deamidation prediction models , could refine DPE2 antibody stability and efficacy. Further studies are needed to explore DPEP2’s role in disease models, particularly inflammation and cancer.
DPE2 (DNA polymerase epsilon subunit 2), also known as POLE2, is a critical component of the DNA polymerase epsilon complex that plays an essential role in DNA replication and repair mechanisms. As a 59 kDa subunit of the DNA polymerase complex, DPE2/POLE2 has significant implications in genomic stability maintenance and cell cycle regulation . Antibodies targeting DPE2 are valuable tools for studying DNA replication machinery, cancer biology, and cellular responses to DNA damage. The protein's involvement in fundamental cellular processes makes it an important target for researchers investigating replication dynamics, checkpoint control mechanisms, and potential therapeutic interventions in diseases involving replication defects.
Based on current commercial availability, researchers can access several types of DPE2 antibodies that vary in clonality, host species, and target epitopes. Two primary categories include:
Monoclonal anti-POLE2 antibodies (such as clone 1A3) produced in mice, which offer high specificity and reproducibility for applications including ELISA and Western blotting with reactivity across mouse, rat, and human samples .
Polyclonal anti-POLE2 antibodies targeting the C-terminal region, produced in rabbits, which provide broader epitope recognition primarily validated for Western blotting applications in human samples .
The choice between these antibody types depends on experimental requirements, with monoclonals offering consistency across experiments, while polyclonals may provide superior sensitivity through multi-epitope binding.
When selecting a DPE2 antibody, researchers should evaluate several critical quality control parameters:
Validation method robustness: Priority should be given to antibodies validated through multiple techniques, especially those using knockout cell lines and isogenic parental controls as demonstrated in comparable studies of other protein targets .
Species cross-reactivity: Verify that the antibody has been validated in your species of interest. Current DPE2 antibodies demonstrate varying cross-reactivity profiles across mouse, rat, and human samples .
Application-specific validation: Ensure the antibody has been specifically validated for your intended application (Western blot, immunoprecipitation, immunofluorescence, ELISA, etc.) .
Citations and published usage: Review peer-reviewed literature demonstrating successful application of the specific antibody clone in comparable experimental contexts .
Batch-to-batch consistency: Consider manufacturer quality control data regarding consistency between production lots.
These parameters collectively ensure experimental reliability and reproducibility when utilizing DPE2 antibodies in research settings.
Optimizing DPE2 antibody titration for Western blotting requires a systematic approach to determine the ideal concentration that maximizes specific signal while minimizing background noise. The recommended methodology includes:
Preliminary titration series: Prepare a dilution series (typically 1:500, 1:1000, 1:2000, 1:5000, and 1:10,000) of the DPE2 antibody and test against identical sample loads on separate Western blot membranes .
Signal-to-noise evaluation: Quantify the signal intensity of the DPE2-specific band (approximately 59 kDa) against background for each dilution. The optimal dilution should maximize the distance between positive and negative populations .
Standardization factors: Maintain consistent time, temperature, and total volume across titration experiments to ensure comparable results .
Control inclusion: Include positive controls (cell lines known to express DPE2/POLE2) and negative controls (where available, DPE2/POLE2 knockout cell lines) to verify specificity at each concentration .
Fixation considerations: If using fixed samples, test the effect of fixatives on epitope recognition, as paraformaldehyde or other fixatives may affect DPE2 antibody binding .
The optimal antibody concentration is achieved when the highest signal-to-noise ratio is observed without signal saturation, typically resulting in clear visualization of the 59 kDa POLE2/DPE2 band with minimal non-specific binding.
When validating DPE2 antibody specificity for immunofluorescence studies, researchers should implement a comprehensive control strategy including:
Genetic controls: Ideally, use isogenic cell lines with and without DPE2/POLE2 expression to definitively demonstrate antibody specificity . This approach follows the gold standard practice established in antibody validation protocols.
Fluorescence Minus One (FMO) controls: For multicolor immunofluorescence, include controls containing all antibodies except anti-DPE2 to account for spectral overlap and autofluorescence when establishing gating strategies .
Unstained controls: For each experimental condition, include unstained samples to establish baseline autofluorescence levels, with 50,000-100,000 events recommended for robust measurement .
Secondary antibody-only controls: Include samples treated with only the secondary antibody to identify non-specific binding of the secondary antibody .
Biological expression controls: Include cell types or tissues with known differential expression of DPE2/POLE2 to confirm expected staining patterns .
Blocking validation: Test the efficacy of blocking reagents (BSA/FBS) in reducing non-specific binding and consider Fc receptor blocking for certain cell types .
Implementing these controls enables confident interpretation of DPE2 immunofluorescence results by distinguishing true signals from artifacts and establishing staining specificity.
Successful DPE2 antibody-based immunoprecipitation requires careful attention to sample preparation to preserve protein integrity and interaction partners. Key considerations include:
Cell lysis optimization: Use lysis buffers compatible with nuclear proteins (where DNA polymerase components typically function), typically containing NP-40 or Triton X-100 at moderate concentrations (0.5-1%), with salt concentrations optimized to maintain complex integrity.
Protein-protein interaction preservation: Consider crosslinking approaches (formaldehyde, DSP, or DSS) if studying DPE2's interactions within the DNA polymerase epsilon complex or with other replication proteins .
Nuclease treatment: Include DNase/RNase treatment to prevent DNA-mediated precipitation or aggregation that could interfere with specific antibody-antigen interactions .
Prevention of aggregation: Add EDTA (2-5mM) to prevent aggregation, except when studying interactions that require divalent cations (Ca²⁺/Mg²⁺) .
Sample filtration: Filter samples to prevent clogging and minimize non-specific background during subsequent analysis .
Antibody selection: Choose antibodies specifically validated for immunoprecipitation applications, as not all DPE2 antibodies will perform equivalently across different applications .
Validation approach: Confirm immunoprecipitation specificity using mass spectrometry identification of pulled-down proteins or Western blot verification of the precipitated material .
These considerations collectively enhance the specificity and efficiency of DPE2 antibody-based immunoprecipitation, enabling robust analysis of DPE2's molecular interactions and functions.
Distinguishing between non-specific binding and true DPE2 signal in flow cytometry requires a sophisticated approach combining multiple validation strategies:
Comparative fluorochrome analysis: Test DPE2 antibodies with different fluorochromes to identify potential direct binding to myeloid cells, which particularly affects certain dyes. If persistent issues occur, implement True-stain monocyte Blocker (or equivalent) .
Compensation matrix optimization: Ensure proper compensation/unmixing particularly for DPE2 when multiplexed with markers of similar brightness or spectral characteristics, focusing on:
Fluorochrome aggregation control: For antibodies utilizing Brilliant Violet dyes, prevent antibody/BV aggregates by:
Staining index and complexity evaluation: Calculate and compare staining indices for different fluorochromes, noting that DPE2 on V450 demonstrated a complexity index of 3.50 in comparable studies versus 1.92 on PE-Cy7, indicating superior resolution with the former .
FcR and non-specific binding control: Implement appropriate blocking:
This systematic approach allows researchers to confidently attribute signals to genuine DPE2 expression rather than technical artifacts.
Addressing inconsistent DPE2 antibody performance across experimental batches requires a comprehensive troubleshooting strategy:
Reference sample standardization: Maintain a laboratory reference standard (e.g., a stable cell line with consistent DPE2 expression) tested with each new antibody lot to establish batch-to-batch performance variation .
Lot-specific titration adjustment: Perform abbreviated titration experiments for each new antibody lot, as optimal working concentrations may vary between manufacturing batches .
Storage and handling optimization:
Aliquot antibodies upon receipt to minimize freeze-thaw cycles
Maintain consistent storage conditions (temperature and light exposure)
Document storage duration and conditions for correlation with performance
Experimental parameter standardization: Maintain strict consistency in:
Detailed documentation: Implement comprehensive documentation of antibody lot numbers, exact protocols, and performance metrics to identify patterns of variability.
Validation redundancy: Consider using two different DPE2 antibodies targeting different epitopes in parallel experiments to verify consistent results independent of individual antibody variability .
This systematic approach enables researchers to maintain experimental reproducibility despite the inherent variability in antibody production and performance.
The impact of fixation and permeabilization protocols on DPE2 antibody epitope recognition varies significantly based on the specific epitope location and antibody characteristics:
Fixative-specific effects: Different fixatives impact epitope accessibility differently:
Target localization considerations: DPE2/POLE2 predominantly localizes to the nucleus as part of the DNA polymerase complex, requiring optimization for nuclear access:
Sequential protocol optimization: When studying DPE2 alongside other markers:
Empirical validation requirement: Each antibody clone may respond differently to fixation protocols, necessitating empirical testing:
Antigen retrieval consideration: For certain applications, particularly tissue sections, additional epitope retrieval steps (heat-induced or enzymatic) may be necessary to overcome fixation-induced epitope masking.
Researchers should systematically test different protocols to identify optimal conditions for each specific DPE2 antibody clone and application.
When encountering unexpected molecular weight variations in DPE2/POLE2 Western blot results, researchers should implement a systematic investigation approach:
Expected molecular weight baseline: The canonical DPE2/POLE2 protein has a predicted molecular weight of approximately 59 kDa , providing the primary reference point.
Post-translational modification analysis: Consider potential modifications that could alter apparent molecular weight:
Phosphorylation sites on DPE2/POLE2 may shift the apparent weight by 1-5 kDa
Ubiquitination could produce higher molecular weight bands
Other modifications including SUMOylation may produce significant shifts
Isoform identification: Consult genomic databases to identify potential alternative splice variants of DPE2/POLE2 that may produce different molecular weight products.
Degradation product assessment: Higher temperature sample preparation or extended storage may result in protein degradation producing lower molecular weight bands. Compare fresh samples with stored samples under identical conditions.
Antibody cross-reactivity validation: Test multiple antibodies targeting different DPE2/POLE2 epitopes to distinguish between true isoforms and non-specific binding .
Verification with genetic models: When available, compare results with DPE2/POLE2 knockout controls and/or overexpression systems to confirm band identity .
Mass spectrometry confirmation: For definitive identification, consider immunoprecipitation followed by mass spectrometry analysis of bands showing unexpected molecular weights.
This systematic approach allows researchers to differentiate between technical artifacts, biologically relevant isoforms, and post-translational modifications affecting DPE2/POLE2.
Resolving conflicting DPE2 localization patterns observed with different antibodies requires a multi-faceted validation strategy:
Epitope-specific effects assessment: Different antibodies targeting distinct DPE2/POLE2 epitopes may reveal different localization patterns if:
Certain epitopes are masked in specific cellular compartments
Post-translational modifications affect epitope accessibility in a compartment-specific manner
Protein conformations vary between compartments
Orthogonal validation methods:
Fluorescent protein tagging: Generate DPE2/POLE2 fusion constructs with fluorescent tags (N- and C-terminal variants) to independently verify localization
Fractionation with Western blotting: Perform biochemical fractionation separating nuclear, cytoplasmic, and membrane compartments followed by Western blotting with multiple antibodies
Proximity ligation assays: Confirm proximity to known nuclear replication factors expected to associate with DPE2/POLE2
Context-dependent localization investigation: Examine whether conflicting patterns reflect biological variability:
Cell cycle phase-specific changes in localization
Stress or damage-induced relocalization
Cell type-specific distribution patterns
Antibody specificity re-validation:
Publication bias assessment: Systematically review published literature to determine if certain localization patterns are overrepresented due to selective reporting or predominant use of specific antibody clones.
Through this comprehensive approach, researchers can determine whether localization differences represent technical artifacts or biologically meaningful insights into DPE2/POLE2 function.
To quantitatively compare immunoprecipitation efficiency across different commercial DPE2 antibodies, researchers should implement a standardized evaluation framework:
Performance metrics establishment: Define key quantitative parameters:
Pulldown efficiency: Percentage of target protein depleted from input sample
Enrichment factor: Ratio of target protein concentration in eluate versus input
Specificity index: Ratio of target protein to common contaminants in eluate
Co-IP efficiency: Preservation of known interaction partners
Standardized protocol implementation:
Quantification methodology:
Western blot analysis: Perform quantitative Western blotting of input, unbound, and eluate fractions
Standard curve creation: Include recombinant DPE2/POLE2 protein standards for absolute quantification
Densitometry: Apply consistent image acquisition and analysis parameters across all samples
Comparative data presentation template:
| Antibody | Supplier | Clone/ID | Pulldown Efficiency (%) | Enrichment Factor | Specificity Index | Non-specific Binding Score |
|---|---|---|---|---|---|---|
| Anti-POLE2 | Sigma | 1A3 | [Data] | [Data] | [Data] | [Data] |
| Anti-POLE2 (C-term) | Sigma | SAB1307265 | [Data] | [Data] | [Data] | [Data] |
| [Additional antibodies] | [Supplier] | [ID] | [Data] | [Data] | [Data] | [Data] |
Validation with mass spectrometry: For comprehensive analysis, subject immunoprecipitates to mass spectrometry to:
This rigorous quantitative approach enables evidence-based selection of optimal DPE2 antibodies for immunoprecipitation applications and facilitates reproducible research practices.
Optimizing DPE2 antibodies for super-resolution microscopy techniques requires specialized considerations beyond conventional immunofluorescence:
Fluorophore selection optimization: For STORM/PALM applications with DPE2:
Select fluorophores with high photon yield and appropriate switching characteristics
Prioritize Alexa Fluor 647 for STORM due to superior blinking properties
Consider photoconvertible fluorescent protein fusions as alternatives for PALM approaches
Antibody fragment generation: Convert conventional DPE2 antibodies to smaller formats:
Fab fragments reduce the ~15 nm displacement between fluorophore and target
Single-chain variable fragments (scFvs) further minimize linkage error
Nanobodies (when available) provide optimal resolution due to minimal size
Direct conjugation strategies: Eliminate secondary antibodies to reduce spatial displacement:
Implement direct conjugation of preferred fluorophores to anti-DPE2 primary antibodies
Optimize degree of labeling (DOL) to balance signal intensity with antibody function
Consider site-specific conjugation methods to preserve antigen binding regions
Sample preparation refinement:
Optimize fixation to maximize epitope accessibility while preserving nanoscale structure
Test fixation gradient (0.5-4% paraformaldehyde) to determine optimal preservation
Implement post-fixation steps to stabilize samples during extended imaging sessions
Validation with correlative techniques:
Correlate super-resolution findings with electron microscopy data
Perform dual-color imaging with known replication complex components
Validate localization patterns with orthogonal super-resolution techniques
By implementing these specialized optimizations, researchers can achieve nanoscale visualization of DPE2's spatial organization within replication complexes and nuclear subdomains, revealing functional insights impossible with conventional microscopy.
Developing multiplex panels incorporating DPE2 antibodies for mass cytometry requires specialized considerations:
Metal conjugate selection strategy: For optimal DPE2 detection:
Select metal isotopes based on expected expression level, with higher abundance metals (e.g., 165Ho, 166Er) reserved for low-expression targets like DPE2
Avoid mass channel overlap with metals used for DNA replication and cell cycle markers likely to be co-analyzed
Consider potential signal spillover and oxide formation when selecting adjacent channels
Panel design optimization:
Place DPE2 in context of DNA replication machinery by including PCNA, POLD1, RPA, and other replication components
Include cell cycle markers (Ki-67, Cyclin proteins) to correlate DPE2 expression with cell cycle phases
Incorporate DNA damage response markers to study DPE2 behavior under replication stress
Sample preparation considerations:
Validation requirements:
Data analysis approach:
Apply dimensionality reduction techniques (tSNE, UMAP) to visualize DPE2 expression patterns
Implement clustering algorithms to identify cell populations with distinct DPE2 expression
Correlate DPE2 levels with DNA content and replication markers to establish functional relationships
This structured approach enables robust integration of DPE2 antibodies into comprehensive mass cytometry panels for studying DNA replication dynamics at the single-cell level.
Leveraging DPE2 antibodies for Chromatin Immunoprecipitation sequencing (ChIP-seq) requires specialized optimization to study DNA polymerase epsilon genomic interactions:
Antibody suitability assessment: Evaluate DPE2/POLE2 antibodies specifically for ChIP applications:
Crosslinking optimization: Determine optimal crosslinking conditions:
Test formaldehyde concentration gradient (0.5-2%) and incubation times (5-20 minutes)
Consider dual crosslinking with additional agents (DSG, EGS) to better preserve protein-protein interactions within the polymerase complex
Optimize quenching conditions to prevent over-fixation
Sonication parameter refinement: Establish fragmentation conditions:
Target DNA fragment size of 200-300 bp for optimal resolution
Monitor fragmentation efficiency through agarose gel electrophoresis
Validate chromatin accessibility through test immunoprecipitations
Control implementation strategy:
Input controls: Process matched input chromatin for normalization
IgG controls: Include species-matched IgG for non-specific binding assessment
Spike-in controls: Consider exogenous chromatin spike-in for technical normalization
Biological validation: Compare DPE2 ChIP-seq with PCNA and nascent DNA mapping (EdU-seq/Okazaki fragment sequencing)
Bioinformatic analysis approach:
Align sequencing data to appropriate reference genome
Identify DPE2/POLE2 enrichment at origins of replication and actively transcribed regions
Correlate binding sites with replication timing domains and chromosome territories
Integrate with other polymerase component ChIP-seq data (POLE1, POLE3, POLE4)
Technical validation requirements:
Confirm enrichment at expected genomic locations (known origins of replication)
Validate novel binding sites through ChIP-qPCR
Compare patterns with published DNA polymerase epsilon and replication factor datasets
This comprehensive approach enables researchers to map DPE2/POLE2 chromatin associations genome-wide, providing insights into DNA replication dynamics, origin selection, and potential roles in transcription-replication conflicts.
A comprehensive validation pipeline for DPE2 antibodies should incorporate multiple orthogonal approaches to ensure reliability in critical research applications:
Initial specificity screening:
Western blot analysis: Verify single band at expected molecular weight (~59 kDa) across relevant cell types and tissues
Genetic models: Confirm band absence in DPE2/POLE2 knockout/knockdown models and presence in wild-type controls
Overexpression systems: Test antibody performance with tagged recombinant DPE2/POLE2
Application-specific validation:
Quantitative performance metrics assessment:
Context dependency evaluation:
Multiplexing compatibility testing:
Documentation and standardization:
Implementation of this comprehensive pipeline ensures that selected DPE2 antibodies meet the rigorous requirements for reproducible research and minimizes the risk of artifactual findings.
Emerging antibody technologies promise to significantly enhance DPE2 antibody performance through several innovative approaches:
Recombinant antibody engineering: Next-generation DPE2 antibodies will benefit from:
Alternative binding scaffolds: Beyond conventional antibodies, novel DPE2-targeting reagents include:
Proximity-based detection systems: Enhanced detection strategies include:
Split-fluorescent protein complementation for studying DPE2 protein interactions
Enzyme fragment complementation assays for amplified signal detection
FRET/BRET pairs for real-time monitoring of DPE2 conformational changes
Proximity ligation approaches for detecting transient interactions with replication factors
Conditional recognition technologies: Context-dependent DPE2 detection through:
Cell-permeable intrabodies targeting native DPE2 in living cells
Conformation-specific antibodies distinguishing active versus inactive states
Post-translational modification-specific antibodies detecting phosphorylated DPE2
Stimulus-responsive antibody-mimetics activated only under specific conditions
Multiplexing capabilities: Advanced multiplexed detection via:
These emerging technologies will enable unprecedented insights into DPE2/POLE2 biology by combining enhanced specificity with expanded functional capabilities beyond conventional antibody limitations.
To enhance reproducibility in research involving DPE2 antibodies, researchers should adopt a comprehensive standardized reporting format addressing all variables that impact experimental outcomes:
Antibody identification and sourcing details:
Validation evidence documentation:
Detailed experimental methods:
Sample preparation: Cell/tissue type, lysis method, protein extraction protocol
Antibody usage: Working concentration, diluent composition, incubation time/temperature
Detection systems: Secondary antibody details, visualization reagents, imaging parameters
Controls: Description of positive/negative controls, blocking methods
Quantification methodology:
Standardized results reporting template:
| Antibody Parameter | Required Information |
|---|---|
| Target | DPE2/POLE2 (DNA polymerase epsilon subunit 2) |
| Supplier & Catalog # | [Complete information] |
| Clone/Lot | [Identifier] |
| RRID | [If available] |
| Working Concentration | [Application-specific] |
| Validation Methods | [List methods used] |
| Known Limitations | [Any identified issues] |
| Reproducibility Assessment | [Inter-experiment variation] |
Data sharing commitments:
Adoption of this standardized reporting format would substantially enhance experimental reproducibility and enable more effective evaluation and comparison of DPE2 antibody-based research findings across different laboratories.