The ADL393W antibody is designed to bind the Putative mating-type transcription factor, a protein involved in regulating mating-type switching and developmental processes in A. gossypii. This antibody is available in multiple recombinant formats, including monoclonal antibodies validated for ELISA and Western blot (WB) applications .
Specificity: The antibody demonstrates high affinity for the ADL393W protein, with no cross-reactivity reported against unrelated fungal antigens .
Sensitivity: Effective in detecting low-abundance targets in WB, with a recommended dilution range of 1:500–1:2,000 .
While ADL393W-specific studies are sparse, advancements in antibody engineering and conjugation (e.g., biotinylation, drug conjugates) from broader research contexts may inform its potential uses:
KEGG: ago:AGOS_ADL393W
ADL393W Antibody (CSB-PA744980XA01DOT-2) is a rabbit-derived polyclonal antibody that specifically targets the Ashbya gossypii (strain ATCC 10895 / CBS 109.51 / FGSC 9923 / NRRL Y-1056) ADL393W protein. This unconjugated antibody has been validated for ELISA and Western Blot applications in fungal research . The antibody is purified using Antigen Affinity techniques and corresponds to UniProt Number Q755R3 and Entrez Gene ID 4619836, making it a valuable tool for researchers investigating fungal protein expression and characterization .
The ADL393W Antibody package includes three essential components:
200μg of antigens (used as positive control)
1ml of pre-immune serum (used as negative control)
These components provide a complete validation system for researchers. The positive control antigen allows for standardization of assays and confirmation of antibody activity, while the pre-immune serum serves as a negative control to identify any non-specific binding. This comprehensive package enables researchers to implement robust experimental designs with appropriate controls for reliable data interpretation.
For optimal preservation of antibody reactivity and specificity, ADL393W Antibody should be stored at either -20°C or -80°C according to the manufacturer's specifications . While -20°C is sufficient for short-term storage, -80°C is recommended for long-term preservation. To prevent activity loss from repeated freeze-thaw cycles, researchers should aliquot the antibody upon receipt. When handling the antibody, maintain cold chain practices by keeping it on ice during experimental procedures and using appropriate buffer systems that maintain protein stability.
For Western Blot applications with ADL393W Antibody, researchers should follow this optimized protocol:
Sample preparation: Extract proteins from fungal samples using appropriate lysis buffers containing protease inhibitors.
SDS-PAGE: Separate 10-50μg of protein per lane on an SDS-polyacrylamide gel.
Transfer: Transfer proteins to a PVDF or nitrocellulose membrane.
Blocking: Block the membrane with 5% non-fat milk or 3-5% BSA in TBST for 1 hour at room temperature.
Primary antibody incubation: Dilute ADL393W Antibody (starting dilution 1:1000, optimize as needed) and incubate overnight at 4°C.
Washing: Wash 3-5 times with TBST buffer.
Secondary antibody incubation: Use HRP-conjugated anti-rabbit IgG (typically 1:5000-1:10000) for 1 hour.
Detection: Apply chemiluminescent substrate and image appropriately.
This protocol is aligned with standard immunoblotting techniques as demonstrated in similar antibody-based studies .
For optimizing ELISA protocols with ADL393W Antibody:
Coating optimization:
Test different coating concentrations of target protein (0.1-10μg/ml)
Evaluate various coating buffers (carbonate/bicarbonate pH 9.6 vs. PBS pH 7.4)
Determine optimal coating time (overnight at 4°C vs. 2 hours at room temperature)
Antibody titration:
Perform checkerboard titration with serial dilutions of ADL393W Antibody
Start with manufacturer's recommended dilution (1:1000) and test 2-fold dilutions
Plot signal-to-noise ratio to identify optimal concentration
Detection system optimization:
Compare different secondary antibody concentrations
Evaluate substrate development times
Test signal enhancement methods if needed
Similar optimization approaches have proven effective in antibody-based ELISA systems for detecting antibodies against therapeutic proteins, as demonstrated in research on anti-Adalimumab antibody assays .
Proper experimental design with ADL393W Antibody requires these essential controls:
Antibody-specific controls:
Pre-immune serum (provided) - establishes baseline reactivity
Primary antibody omission - identifies secondary antibody background
Antigen competition - confirms binding specificity using the provided antigen
Sample-specific controls:
Positive control: Ashbya gossypii extract or recombinant ADL393W protein
Negative control: Samples known not to express the target protein
Loading control: Detection of housekeeping proteins for normalization
Technical controls:
Concentration gradient to demonstrate signal linearity
Multiple biological replicates to ensure reproducibility
The importance of proper controls is emphasized in research on antibody validation, where controls are critical for distinguishing specific from non-specific binding .
The polyclonal nature of ADL393W Antibody has several important implications for research:
Multi-epitope recognition:
Recognizes multiple epitopes on the target protein
Less susceptible to epitope masking due to protein modifications
Potentially higher sensitivity than monoclonal alternatives
Experimental considerations:
Batch-to-batch variation may occur, requiring lot-specific validation
Cross-reactivity potential requires thorough specificity testing
Signal intensity may differ from monoclonal antibodies
Data interpretation:
Stronger signal may result from binding to multiple epitopes rather than higher protein abundance
Comparison between samples requires consistent antibody lots
Quantitative analyses should include standard curves
These considerations align with known characteristics of polyclonal antibodies as discussed in antibody research literature .
Robust validation of ADL393W Antibody specificity should include:
Biochemical validation:
Peptide competition assay: Pre-incubate antibody with excess purified target protein
Western blot with size verification of detected bands
Immunoprecipitation followed by mass spectrometry identification
Genetic validation:
Testing in knockout/knockdown systems if available
Comparison of signal in systems with varying expression levels
Cross-reactivity assessment:
Testing against related fungal species
Bioinformatic analysis of potential cross-reactive proteins
When encountering non-specific binding with ADL393W Antibody, researchers should systematically:
Optimize blocking conditions:
Test different blocking agents (BSA, non-fat milk, casein)
Increase blocking time or concentration
Add detergents like Tween-20 to reduce hydrophobic interactions
Adjust antibody parameters:
Titrate antibody concentration (excessive antibody increases non-specific binding)
Optimize incubation time and temperature
Pre-absorb antibody with non-target proteins
Modify washing conditions:
Increase washing stringency with higher salt concentrations
Extend washing duration or number of wash steps
Add detergents to washing buffer
Improve sample preparation:
Ensure complete protein denaturation for Western blot
Remove interfering compounds through additional purification
Optimize lysis conditions to reduce non-specific interactions
These troubleshooting approaches have proven effective in optimizing antibody-based detection systems .
When comparing ADL393W Antibody to other research antibodies:
| Feature | ADL393W Antibody | Monoclonal Antibodies | Other Polyclonal Systems |
|---|---|---|---|
| Epitope Recognition | Multiple epitopes | Single epitope | Multiple epitopes |
| Signal Strength | Potentially higher due to multi-epitope binding | May require signal amplification | Similar high signal potential |
| Specificity | Moderate to high | Very high for single epitope | Variable |
| Batch Consistency | May vary between lots | High consistency | Similar lot-to-lot variation |
| Cost-Effectiveness | Moderate initial validation required | Higher development cost | Similar validation requirements |
This comparative analysis is based on established antibody characteristics observed in research on antibody-based detection systems .
When using ADL393W Antibody compared to antibody combinations:
Single vs. multiple antibody approaches:
ADL393W as a polyclonal system inherently contains multiple antibody specificities
Engineered antibody combinations like those used in therapeutic applications provide carefully selected complementary binding profiles
Single antibody systems generally require less optimization than multi-antibody detection systems
Escape and detection considerations:
Single antibody systems may be more susceptible to epitope masking
Combined antibody approaches provide redundancy against epitope variations
Monoclonal combinations allow precise epitope targeting
Protocol complexity:
Single antibody systems typically require simpler protocols
Multiple antibody systems may need sequential application or optimization of antibody ratios
Competition between antibodies must be considered in combination systems
Research on therapeutic antibody combinations demonstrates how multiple antibodies can provide robust detection even when individual epitopes become inaccessible .
Future applications of ADL393W Antibody may include:
Functional studies:
Investigating protein-protein interactions of ADL393W through co-immunoprecipitation
Exploring subcellular localization using immunofluorescence
Studying protein dynamics under various environmental conditions
Comparative genomics applications:
Examining conservation of ADL393W protein across fungal species
Investigating evolutionary relationships through cross-reactivity studies
Comparing expression patterns in various fungal strains
Methodological advancements:
Development of high-throughput screening assays
Integration with microfluidic systems for automated detection
Combination with emerging protein visualization technologies
These potential applications align with trends in antibody-based research systems for protein characterization and functional studies .
Emerging technologies that could enhance ADL393W Antibody applications include:
Antibody engineering approaches:
Conjugation to novel detection systems (fluorescent proteins, quantum dots)
Fragment-based applications for improved tissue penetration
Immobilization on advanced biosensor platforms
Integration with -omics technologies:
Combining antibody detection with mass spectrometry for detailed protein characterization
Integration with spatial transcriptomics for correlated protein/RNA visualization
Multiplexed detection systems for pathway analysis
Computational advances:
Epitope prediction algorithms to better understand binding profiles
Machine learning approaches for optimizing detection protocols
Systems biology integration for network-level understanding
Similar technological advancements have been implemented in therapeutic antibody research, providing models for research antibody applications .