The term "OXA" appears in multiple biological contexts, but none align with "oxa101" as an antibody:
OXA β-lactamases: Enzymes conferring antibiotic resistance (e.g., OXA-48) in Enterobacterales and Pseudomonas spp. .
OXA1L: A mitochondrial membrane protein involved in cytochrome c assembly, targeted by antibodies like 21055-1-AP and 66128-1-Ig .
OX40 (TNFRSF4): A co-stimulatory receptor targeted by therapeutic antibodies (e.g., YH002, DF004) in oncology .
No "OXA101" designation exists in these contexts. Potential mislabeling or proprietary naming conventions in unpublished studies cannot be ruled out.
OXA β-lactamases (e.g., OXA-48, OXA-681) are bacterial enzymes, not antibodies:
If "oxa101" refers to an anti-OX40 antibody, its properties would likely mirror known agonists like DF004, which:
Enhance T-cell activation via NF-κB signaling.
For OXA1L-targeting antibodies, expect applications in mitochondrial research (e.g., fusion/fission assays) with validation in HepG2/HeLa cells .
KEGG: spo:SPAC9G1.04
STRING: 4896.SPAC9G1.04.1
OXA101 antibody is a research tool designed for the detection and study of OXA-type proteins, which are associated with carbapenem resistance mechanisms. Based on available data on similar antibodies, OXA101 antibody is likely suitable for several research applications including Western blotting (WB), immunohistochemistry on paraffin-embedded tissues (IHC-P), and immunocytochemistry/immunofluorescence (ICC/IF) .
The antibody enables detection of OXA-type proteins that are critical in antimicrobial resistance research, particularly in studies focusing on Acinetobacter baumannii and other bacterial pathogens carrying OXA-type carbapenemases . When designing experiments, researchers should consider that this antibody is typically used at concentrations of 0.4-4 μg/ml for applications like ICC/IF, with specific dilutions determined by application type and target tissue.
OXA-type proteins belong to the class D β-lactamases, specifically the Carbapenem-Hydrolyzing Class D β-lactamases (CHDLs), which are crucial enzymes in bacterial resistance mechanisms. These proteins hydrolyze the β-lactam ring of carbapenem antibiotics, rendering them ineffective .
The OXA family includes several phylogenetic subgroups found in bacterial pathogens:
OXA-23-like
OXA-24/40-like
OXA-58-like
OXA-51-like
OXA-143-like
Research has demonstrated that bacteria carrying multiple OXA-type carbapenemase genes simultaneously (particularly combinations of OXA-51-like, OXA-23-like, and OXA-24/40-like) demonstrate enhanced resistance to carbapenems, making these important targets for antibody-based detection in clinical and environmental samples .
While specific comparative data for OXA101 is limited in the available literature, understanding the general differences between OXA-type antibodies is crucial for experimental design. OXA antibodies typically differ in:
Epitope specificity: Each antibody targets specific regions within OXA proteins
Cross-reactivity patterns: Some may recognize multiple OXA variants while others are highly specific
Application suitability: Performance varies across applications like WB, IHC, and ELISA
Research indicates that antibodies targeting different OXA-types have varying detection capabilities for carbapenemase genes. For instance, in studies of A. baumannii, detection rates using molecular and immunological methods showed significant differences:
| OXA-type | Detection in clinical isolates | Detection in environmental isolates |
|---|---|---|
| OXA-51-like | 100% | 100% |
| OXA-23-like | 100% | 94.3% |
| OXA-24/40-like | 93.7% | 92.5% |
| OXA-58-like | 0% | 0% |
| OXA-143-like | 0% | 0% |
These differences highlight the importance of selecting the appropriate antibody based on the specific OXA-type of interest in research .
For Western blot applications using OXA101 antibody, researchers should implement the following protocol based on data from similar antibodies:
Sample preparation: Use standard cell lysates or bacterial protein extracts
Protein loading: 20-50 μg of total protein per lane is recommended
Separation: 10-12% SDS-PAGE gels provide optimal resolution
Transfer: Use PVDF membranes for better protein binding
Blocking: 5% non-fat dry milk in TBST for 1 hour at room temperature
Primary antibody: Dilute OXA101 antibody to approximately 0.4 μg/ml in blocking buffer
Incubation: Overnight at 4°C with gentle rocking
Detection: HRP-conjugated secondary antibody and ECL detection system
For protein overexpression studies, the antibody has demonstrated effective detection of the target protein in overexpression systems such as transfected HEK-293T cells . When analyzing expected results, researchers should anticipate a band at the predicted molecular weight for OXA-type proteins (typically 25-35 kDa for many OXA-type carbapenemases, though this varies by specific type).
Based on similar antibodies, the following protocol optimizations are recommended for IHC-P applications:
Tissue preparation: Standard formalin fixation and paraffin embedding
Section thickness: 4-6 μm sections
Antigen retrieval: Heat-induced epitope retrieval using citrate buffer (pH 6.0)
Blocking: 5-10% normal serum from the same species as the secondary antibody
Primary antibody dilution: Start with a 1:50 dilution as a baseline
Incubation time: 1-2 hours at room temperature or overnight at 4°C
Detection system: Polymer-based detection systems provide enhanced sensitivity
Counterstaining: Hematoxylin provides good nuclear contrast
When evaluating staining patterns, researchers should compare results across different tissue types. For example, positive staining has been observed in human cerebral cortex and pancreas tissues with similar antibodies at a 1:50 dilution . Tissue-specific optimizations may be necessary, as antibody performance can vary across different tissue types due to fixation differences and target protein expression levels.
Proper experimental controls are critical for reliable interpretation of results when using OXA101 antibody:
Positive controls:
Overexpression systems: Cells transfected with the target OXA gene
Known positive clinical isolates: Bacterial strains with confirmed expression of OXA-type carbapenemases
Positive tissue samples: Previously validated tissues known to express the target
Negative controls:
Vector-only transfected cells: HEK-293T cells transfected with empty vector
Antibody omission: Samples processed without primary antibody
Isotype control: Non-specific antibody of the same isotype
Competitive inhibition: Pre-incubation of antibody with immunizing peptide
Technical validation controls:
Concentration gradient: Testing multiple antibody dilutions
Cross-reactivity assessment: Testing against related OXA-type proteins
Method comparison: Validating results using alternative detection methods (e.g., PCR for gene presence alongside antibody detection of protein)
Implementing these controls helps distinguish true positive signals from background or non-specific binding, particularly important when studying bacterial resistance mechanisms where specific protein identification is crucial.
Non-specific binding is a common challenge with antibodies that can be addressed through several methodological approaches:
Optimize blocking conditions:
Adjust antibody concentration and incubation:
Perform titration experiments (0.1-5 μg/ml)
Reduce incubation temperature to 4°C
Add 0.1-1% BSA to antibody dilution buffer
Increase washing stringency:
Add 0.1% Tween-20 to wash buffers
Extend washing times and increase washing steps
Use higher salt concentration in wash buffers
Sample-specific optimizations:
For bacterial samples, pre-absorb antibody with related bacterial species
For tissue samples, use tissue-specific antigen retrieval methods
When analyzing non-specific binding patterns, evaluate whether cross-reactivity occurs with structurally similar proteins. For OXA-type antibodies, cross-reactivity between different OXA variants is possible due to conserved regions, requiring careful interpretation of results, particularly in mixed bacterial populations.
Adapting OXA101 antibody for high-throughput screening requires methodological modifications:
Assay miniaturization:
Develop 384-well plate immunoassay formats
Reduce antibody concentrations while maintaining signal-to-noise ratio
Optimize incubation times for rapid processing
Automation compatibility:
Standardize all buffers and reagents for robotic handling
Develop protocols with minimal manual intervention
Implement quality control steps at key points
Detection system optimization:
Utilize fluorescent secondary antibodies for multiplexing
Implement automated imaging systems with quantitative analysis
Consider bead-based assay formats for higher sensitivity
Validation strategy:
Create reference panels of known positive and negative samples
Establish Z-factor scores >0.5 for assay robustness
Implement statistical methods for hit identification and validation
For bacterial resistance screening applications, researchers have successfully implemented high-throughput approaches combining molecular detection of OXA genes with immunological detection of expressed proteins. This dual approach provides more comprehensive characterization of resistance mechanisms compared to either method alone .
Quantitative analysis of OXA protein expression requires specific methodological considerations:
Quantitative Western blotting:
Include known concentration standards of recombinant protein
Utilize LI-COR or similar fluorescent detection systems
Apply densitometry with appropriate software (ImageJ, etc.)
Normalize to appropriate housekeeping proteins
ELISA development:
Develop sandwich ELISA using OXA101 as capture or detection antibody
Generate standard curves using purified recombinant protein
Implement four-parameter logistic regression for analysis
Establish limits of detection and quantification
Flow cytometry for bacterial samples:
Optimize fixation and permeabilization protocols
Use fluorophore-conjugated secondary antibodies
Include fluorescence calibration beads
Analyze median fluorescence intensity values
Image-based quantification:
Implement immunofluorescence with standardized exposure settings
Use appropriate software for automated image analysis
Include internal calibration controls in each image
Apply background correction algorithms
When interpreting quantitative data, researchers should consider that OXA protein expression levels vary significantly based on environmental conditions, antibiotic pressure, and bacterial growth phase. Studies of OXA-type carbapenemases have shown differential expression patterns between clinical and environmental isolates, suggesting complex regulatory mechanisms worthy of investigation .
Understanding the relationship between antibody-based protein detection and molecular detection of genes is crucial for comprehensive research:
Studies of OXA-type carbapenemases have shown that while genes may be detected by PCR, protein expression levels can vary significantly based on regulatory mechanisms and environmental conditions . This discordance highlights the value of using antibody-based detection alongside molecular methods. For example, research has demonstrated that all A. baumannii isolates carrying the blaOXA-51-like gene may not equally express the corresponding protein, affecting phenotypic resistance patterns.
When comparing results obtained using different antibodies targeting the same OXA proteins, researchers should consider:
Epitope differences:
Antibodies targeting different epitopes may yield varying results
Conformational versus linear epitopes affect detection in different applications
N-terminal versus C-terminal targeting affects detection of truncated forms
Methodological standardization:
Harmonize protocols when comparing antibodies
Use consistent sample preparation methods
Apply identical detection systems and imaging parameters
Cross-reactivity profiles:
Evaluate specificity against related OXA variants
Test against non-OXA β-lactamases
Consider evolutionary relationships between targets
Application-specific performance:
An antibody performing well in Western blot may underperform in IHC
Fixation sensitivity varies between antibodies
Native versus denatured protein detection capabilities differ
Research has shown that antibodies against OXA-type carbapenemases can exhibit variable cross-reactivity patterns, particularly against closely related variants within the same phylogenetic subgroup. For example, antibodies targeted against OXA-23-like proteins may show different levels of cross-reactivity with OXA-24/40-like proteins based on their specific epitope targets .
Emerging research applications for OXA antibodies are expanding our understanding of antimicrobial resistance:
Host-pathogen interaction studies:
Investigating the role of OXA proteins in bacterial virulence
Examining host immune responses to OXA-producing bacteria
Studying the impact of OXA expression on bacterial fitness
Environmental surveillance:
Monitoring OXA-type carbapenemases in hospital environments
Tracking resistance gene spread in community settings
Evaluating persistence of resistant bacteria on surfaces
Combined multi-omics approaches:
Integrating proteomics with genomics and transcriptomics
Correlating OXA protein expression with resistance phenotypes
Studying regulatory networks controlling OXA expression
Novel therapeutic strategies:
Developing inhibitors targeting OXA-type carbapenemases
Evaluating antibody-antibiotic conjugates for targeted therapy
Exploring immunotherapeutic approaches against resistant bacteria
Studies have demonstrated the significance of environmental reservoirs for antimicrobial resistance genes, with hospital surfaces harboring MDR and XDR bacterial strains carrying multiple OXA-type carbapenemase genes. Research shows that intensive care units (52.4%) and burn units (15.6%) are particularly prone to contamination with resistant A. baumannii strains carrying OXA genes, highlighting the importance of environmental surveillance in infection control .