Applications : WB
Sample type: Human HT-29 cell
Sample dilution: 1:5000
Review: Compounds #1–5 downregulated DDAH1 and DDAH2 protein expression at 200 µM, by 2.2, 22.8, 72.8, 4.4, and 299-fold (DDAH1) and by 10.8, 29.5, 8.9, 2.6, and 24.3-fold (DDAH2), respectively.
DDAH2 (Dimethylarginine Dimethylaminohydrolase 2) is an enzyme that plays a critical role in regulating nitric oxide levels in the body, significantly impacting vascular function, blood pressure regulation, and cardiovascular health . The protein, officially known as N(G),N(G)-dimethylarginine dimethylaminohydrolase 2, metabolizes asymmetric dimethylarginine (ADMA), an endogenous inhibitor of nitric oxide synthase. Dysregulation of DDAH2 activity has been implicated in various cardiovascular diseases, making it an attractive target for therapeutic intervention . Recent research has also identified DDAH2 as a marker of tumor angiogenesis, particularly in lung adenocarcinoma at early stages, further expanding its research significance .
DDAH2 research spans multiple fields, including cardiovascular physiology, cancer biology, and inflammatory disorders. Understanding DDAH2 expression patterns and functions requires specific and reliable antibodies that can detect this protein across different experimental platforms.
Several types of DDAH2 antibodies are available for research, varying in host species, clonality, and target epitopes:
Polyclonal antibodies: These include rabbit polyclonal antibodies targeting the C-terminal region (AA 190-224) and goat polyclonal antibodies like ab1383 .
Monoclonal antibodies: These offer higher specificity for particular epitopes, such as the rabbit monoclonal antibody CAB4159 targeting a sequence within amino acids 1-100 of human DDAH2 .
Region-specific antibodies: These target different domains of the DDAH2 protein, including:
The choice between these antibody types depends on the specific research application, required sensitivity, and experimental conditions.
DDAH2 antibodies are utilized across multiple experimental techniques:
Western Blotting (WB): For detecting and semi-quantitatively analyzing DDAH2 protein levels. Most DDAH2 antibodies are validated for WB applications with recommended dilutions typically between 1:500-1:2000 .
Immunohistochemistry (IHC): Particularly with paraffin-embedded sections (IHC-p), this method localizes DDAH2 in tissue samples. The antibodies are typically used at dilutions ranging from 1:200-1:1000 .
Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative measurement of DDAH2 in solution .
Immunofluorescence (IF): For cellular localization studies, providing insights into the subcellular distribution of DDAH2 .
Flow Cytometry (FACS): For quantifying DDAH2 in cell populations .
Immunoprecipitation (IP): For isolating DDAH2 and studying its interaction partners .
Each application requires specific optimization, and researchers should select antibodies validated for their particular application of interest.
The choice between polyclonal and monoclonal DDAH2 antibodies should be guided by specific experimental requirements:
Polyclonal DDAH2 antibodies (e.g., ABIN4886561 ):
Recognize multiple epitopes on the DDAH2 protein
Offer higher sensitivity due to binding to multiple sites
Provide greater tolerance to minor changes in protein structure or conformation
Show higher batch-to-batch variation
Ideal for applications requiring robust signal detection, such as initial protein characterization
Monoclonal DDAH2 antibodies (e.g., CAB4159 ):
Recognize a single epitope with high specificity
Show consistent reproducibility with minimal batch-to-batch variation
May have lower sensitivity than polyclonal antibodies
Excellent for standardized protocols requiring consistent results over time
Superior for distinguishing between closely related proteins
For applications requiring the highest specificity, such as distinguishing DDAH2 from DDAH1, monoclonal antibodies may be preferable. For detecting low levels of DDAH2 expression, polyclonal antibodies often provide better sensitivity. In critical research, using both types to confirm findings provides the most robust approach.
Based on the available information, the most common host species and immunogens for DDAH2 antibody production include:
Host species:
Rabbit: Both polyclonal (ABIN4886561 , STJ28540 ) and monoclonal (CAB4159 ) DDAH2 antibodies are frequently developed in rabbits, offering good specificity and versatility across applications.
Goat: Several DDAH2 polyclonal antibodies are raised in goats (e.g., ab1383 ), providing alternatives for multiplex staining protocols or when avoiding rabbit IgG cross-reactivity.
Immunogens:
C-terminal peptides: The antibody ABIN4886561 uses a synthetic peptide corresponding to amino acids 190-224 of human DDAH2 (sequence: DAAQKAVRAMAVLTDHPYASLTLPDDAAADCLFLR) .
N-terminal regions: Some antibodies target the N-terminal domain of DDAH2.
Internal sequences: CAB4159 is developed against a synthetic peptide within amino acids 1-100 of human DDAH2 .
Full-length proteins: Some antibodies are raised against the entire DDAH2 protein (AA 1-285) .
The choice of host species becomes particularly important when designing multiplex experiments to avoid cross-reactivity between secondary antibodies.
Thorough validation of DDAH2 antibody specificity is essential for reliable experimental results. Recommended validation approaches include:
Western blot analysis: Verify a single band of the expected molecular weight (~30 kDa for DDAH2) . Multiple bands or unexpected sizes may indicate non-specific binding or protein degradation.
Positive and negative control samples: Use tissues known to express high levels of DDAH2 (such as lung, brain, and kidney as indicated for CAB4159 ) and compare with tissues or cell lines with low or no expression. For example, research has shown that the Calu-3 lung adenocarcinoma cell line does not express detectable DDAH2 .
Immunoprecipitation followed by mass spectrometry: As performed in the lung adenocarcinoma study, this approach identifies the protein recognized by the antibody, confirming it as DDAH2 .
Pre-absorption controls: Pre-incubate the antibody with the immunizing peptide to confirm epitope specificity. Signal disappearance in this test strongly supports antibody specificity.
Cross-reactivity testing: Verify that the antibody does not recognize related proteins, especially DDAH1. Information regarding cross-reactivity should be provided by manufacturers, as with ABIN4886561, which states "No cross reactivity with other proteins" .
Genetic approaches: When possible, use DDAH2 knockdown or knockout samples as definitive negative controls.
Implementing multiple validation strategies provides the strongest evidence for antibody specificity and experimental reliability.
Based on published protocols, optimal immunohistochemistry procedures for DDAH2 detection include:
Tissue preparation:
Deparaffinization and rehydration:
Use standard xylene and graded alcohol series
Ensure complete deparaffinization to avoid artifactual staining
Antigen retrieval:
Blocking and primary antibody:
Detection and visualization:
Controls and evaluation:
Advanced approaches:
Optimal dilutions and conditions for DDAH2 antibodies vary by application and specific antibody:
Always perform preliminary titration experiments to determine the optimal antibody concentration that provides the best signal-to-noise ratio for your specific samples and detection systems. For critical research, testing multiple dilutions in a preliminary experiment is strongly recommended.
When encountering weak or absent DDAH2 signals, consider the following troubleshooting approaches:
Sample preparation optimization:
Antibody selection and handling:
Verify antibody quality using known positive controls (e.g., HepG2 cells, mouse lung, brain, or kidney tissues)
Test alternative DDAH2 antibodies targeting different epitopes, such as comparing N-terminal and C-terminal antibodies
Reduce antibody dilution (increase concentration) within reasonable ranges
Check antibody storage conditions and avoid repeated freeze-thaw cycles
Signal amplification strategies:
Implement more sensitive detection systems (e.g., tyramide signal amplification)
Extend primary antibody incubation time (overnight at 4°C)
Optimize secondary antibody concentration and incubation conditions
Background reduction:
Increase blocking stringency with longer incubation or alternative blocking reagents
Add 0.1-0.3% Triton X-100 for better antibody penetration in immunofluorescence
Extend washing steps to reduce non-specific binding
Technical validation:
Run parallel experiments with known positive samples alongside test samples
Prepare fresh working solutions of all reagents
For Western blotting, ensure proper protein transfer and consider longer exposure times
If signals remain problematic after these optimizations, consider whether DDAH2 expression might be genuinely low or absent in your samples, and validate with alternative detection methods such as RT-PCR.
Appropriate controls are essential for reliable DDAH2 antibody studies:
Positive tissue controls:
Negative controls:
Technical negative controls:
Primary antibody omission (replace with buffer or isotype IgG)
Secondary antibody only controls to assess background
Biological negative controls:
Specificity controls:
Pre-absorption with immunizing peptide to confirm epitope specificity
DDAH2 knockdown or knockout samples when available
Comparison of staining patterns using antibodies targeting different DDAH2 epitopes
Quantification references:
For studies requiring quantitative assessment, include samples with known high, medium, and low DDAH2 expression
Internal controls for normalization in Western blotting (housekeeping proteins)
Properly selected controls allow for confident interpretation of experimental results and facilitate troubleshooting when unexpected patterns emerge.
DDAH2 has emerged as an important marker for tumor angiogenesis, particularly in early-stage lung adenocarcinoma . Researchers can apply DDAH2 antibodies in cancer angiogenesis studies through the following approaches:
Tumor stromal analysis:
Research has shown that DDAH2 is expressed in fibroblasts within tumor stroma, with higher expression in minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma compared to adenocarcinoma in situ (AIS)
Use immunohistochemistry with DDAH2 antibodies to analyze stromal expression patterns across different tumor stages
Prognostic evaluation:
Co-localization studies:
Functional assessments:
Early detection applications:
Explore DDAH2 as an early diagnostic marker for malignancies
Compare DDAH2 expression in pre-malignant lesions versus established tumors
Therapeutic target evaluation:
Monitor changes in DDAH2 expression in response to anti-angiogenic therapies
Use DDAH2 antibodies to evaluate potential treatments targeting angiogenesis pathways
These approaches can significantly advance our understanding of DDAH2's role in tumor angiogenesis and potentially identify new therapeutic strategies.
DDAH1 and DDAH2 are isoenzymes with distinct tissue distribution and potentially different physiological roles. Understanding their differences is crucial for experimental design:
Epitope selection considerations:
Available antibodies and their characteristics:
Expression pattern differences:
DDAH1 and DDAH2 show distinct tissue distribution patterns
Use both antibodies to map the differential expression across tissues and cell types
This differential expression may have functional implications in disease states
Functional studies:
Both antibodies can be employed to investigate potentially divergent roles of these isoenzymes
Correlation with enzyme activity measurements provides functional context
Experimental design considerations:
For Western blotting, the proteins have different molecular weights
In multiplexed immunofluorescence, select antibodies from different host species
Some antibodies may perform better in certain applications, requiring validation across multiple techniques
Understanding the similarities and differences between these isoforms and their respective antibodies is essential for correctly interpreting experimental results and advancing our understanding of the DDAH/ADMA/NO pathway.
Multiplexed immunofluorescence allows simultaneous detection of multiple proteins in the same sample. To effectively incorporate DDAH2 antibodies in such studies:
Antibody selection strategy:
Fluorophore selection and pairing:
Assign fluorophores with non-overlapping emission spectra to different antibodies
Recommended combinations include:
Potential marker combinations:
Protocol optimization:
Sequential staining for antibodies from the same host species
Careful blocking between rounds to prevent cross-reactivity
Extensive washing to minimize background
Validation controls:
Single staining controls to confirm specificity and absence of bleed-through
Isotype controls to rule out non-specific binding
Absorption controls with immunizing peptides
Multiplexed approaches provide valuable insights into the cellular context of DDAH2 expression and its relationship with other proteins in both normal and pathological conditions.
Accurate quantification of DDAH2 expression requires rigorous methodological approaches:
Western blot quantification:
Load equal amounts of total protein (verified by staining or housekeeping proteins)
Capture images within the linear dynamic range of detection
Perform densitometry analysis using specialized software
Normalize to appropriate loading controls
Present results as fold-change relative to control samples
Immunohistochemistry quantification:
Define clear scoring criteria as demonstrated in published research:
Use digital image analysis software for more objective assessment
Analyze multiple fields (typically 5-10) to account for heterogeneity
Consider automated systems for consistency in large-scale studies
Immunofluorescence quantification:
Measure mean fluorescence intensity using consistent exposure settings
Apply appropriate background subtraction methods
Consider cell-by-cell analysis for heterogeneous samples
Co-localization analysis with other markers can provide contextual information
ELISA and other solution-based methods:
Generate standard curves using recombinant DDAH2
Ensure samples fall within the linear range of the standard curve
Include appropriate controls in each assay plate
Perform technical replicates to assess precision
Statistical considerations:
Perform sufficient biological replicates (typically minimum n=3)
Select appropriate statistical tests based on data distribution
Report both statistical significance and effect size measures
Consider blinded analysis to prevent bias
These quantitative approaches provide robust data for comparative studies and allow for reproducible assessment of DDAH2 expression across experimental conditions.
DDAH2 is integrally involved in nitric oxide (NO) metabolism through its regulation of asymmetric dimethylarginine (ADMA) levels. DDAH2 antibodies can be employed to study this pathway through several approaches:
Expression correlation studies:
Functional pathway analysis:
Combine DDAH2 immunostaining with functional assays measuring NO production
Connect DDAH2 expression levels with nitric oxide-dependent outcomes
In cardiovascular research, correlate DDAH2 expression with vascular reactivity measures
Interaction studies:
Use DDAH2 antibodies for co-immunoprecipitation experiments to identify protein interaction partners
Investigate whether DDAH2 forms complexes with other components of the NO signaling pathway
Proximity ligation assays can detect close associations between DDAH2 and other proteins
Intervention studies:
Monitor changes in DDAH2 expression following pharmacological interventions targeting the NO pathway
Use DDAH2 antibodies to assess the effects of genetic manipulations of the pathway
Evaluate how disease states affect the DDAH2/ADMA/eNOS axis
Translational applications:
DDAH2 plays a crucial role in regulating nitric oxide levels in the body, impacting vascular function and blood pressure regulation
Antibody-based detection of DDAH2 can help evaluate potential therapeutic approaches targeting this pathway
Correlate DDAH2 expression with clinical parameters related to endothelial function
These approaches provide mechanistic insights into how DDAH2 contributes to NO signaling and its dysregulation in disease states.
Inconsistent DDAH2 staining can arise from various technical and biological factors:
Technical factors:
Fixation issues: Overfixation or underfixation affects epitope availability
Inadequate antigen retrieval: Heat-induced epitope retrieval with citrate buffer at 121°C for 15 min is recommended for optimal results
Antibody quality: Batch-to-batch variation, especially with polyclonal antibodies
Suboptimal antibody concentration: Dilutions should be carefully optimized through titration experiments
Detection system sensitivity: Secondary antibody selection and signal amplification methods
Biological factors:
Protocol standardization issues:
Inconsistent blocking procedures
Variable incubation times or temperatures
Differences in washing steps between experiments
Scoring and interpretation variations:
Addressing these factors requires meticulous protocol standardization and appropriate controls in each experiment.
When encountering unexpected DDAH2 expression patterns:
Validation of findings:
Contextual interpretation:
Functional correlations:
Cell type-specific analysis:
Antibody specificity reassessment:
Perform pre-absorption controls with immunizing peptide
Evaluate potential cross-reactivity with related proteins
Consider alternative antibodies from different suppliers
Novel DDAH2 expression patterns may represent important biological insights rather than technical artifacts, particularly in disease states where protein expression can be dysregulated.
Discrepancies between different techniques measuring DDAH2 expression may arise from:
Technique-specific characteristics:
Antibody-related factors:
Sample preparation differences:
Fixation affects protein conformation and epitope accessibility
Protein extraction methods for Western blot may not recover all cellular DDAH2
Antigen retrieval efficiency varies across protocols
Sensitivity thresholds:
Western blot may detect only abundant proteins
IHC with signal amplification might detect lower expression levels
Some techniques may be below the detection threshold for low-expressing samples
Tissue versus cellular resolution:
Selecting the optimal DDAH2 antibody for a specific research question requires systematic evaluation:
Application-specific validation:
Test multiple antibodies in the specific application of interest
Compare commercially available options listed in research literature:
Epitope relevance:
Select antibodies targeting regions relevant to your research question
For studies of protein-protein interactions, avoid antibodies targeting interaction sites
For detecting specific isoforms or splice variants, choose epitopes unique to those forms
Species considerations:
Comparative testing:
Side-by-side testing of multiple antibodies on the same samples
Include positive and negative controls in comparative analyses
Document sensitivity and specificity characteristics of each antibody
Literature and community feedback:
Review published studies using DDAH2 antibodies
Consider antibodies used successfully in similar research contexts
Seek recommendations from colleagues in the field
This systematic approach increases the likelihood of selecting an antibody that will provide reliable and reproducible results for your specific research application.
Longitudinal studies using DDAH2 antibodies require special attention to consistency and reproducibility:
Antibody selection and storage:
Choose antibodies with minimal lot-to-lot variation
Monoclonal antibodies typically provide greater consistency than polyclonal antibodies
Purchase sufficient quantity from the same lot for the entire study
Aliquot antibodies to avoid repeated freeze-thaw cycles
Store according to manufacturer recommendations
Protocol standardization:
Develop and document detailed protocols for all steps
Maintain consistent fixation and processing procedures
Use automated systems where possible to minimize human variability
Create standard operating procedures (SOPs) for critical steps
Control implementation:
Include consistent positive and negative controls in each experimental run
Consider using tissue microarrays containing standard samples
Implement internal reference standards for quantification
Data collection and analysis:
Use the same detection systems and imaging equipment throughout the study
Maintain consistent image acquisition parameters
Employ blinded analysis to prevent bias
Consider automated quantification methods for consistency
Validation strategies:
Periodically re-validate antibody performance
Consider parallel methodologies to confirm key findings
Sample replication at different timepoints to assess technical variability
Documentation:
Record all relevant experimental details, including antibody lot numbers
Document any deviations from established protocols
Maintain detailed records of all quality control measures
These considerations help ensure that observed changes in DDAH2 expression over time reflect true biological differences rather than technical variability, providing more robust and reproducible research outcomes.