The ASN2 Antibody (also referred to as ASN-2) is a fully human IgG1(κ) monoclonal antibody (mAb) developed as part of the ASN100 therapeutic combination. It specifically targets LukGH (also known as LukAB), a bicomponent leukocidin toxin produced by Staphylococcus aureus (S. aureus). This cytotoxin is critically involved in disrupting human immune cell function, particularly neutrophils, monocytes, and T-lymphocytes, thereby facilitating bacterial evasion and infection progression .
ASN2 Antibody was designed to complement ASN-1 (which neutralizes five other S. aureus toxins) in the ASN100 formulation. Together, these mAbs aimed to prevent S. aureus pneumonia by blocking cytolytic damage to host cells .
Key characteristics of ASN2 Antibody:
Target specificity: Binds to LukGH, a pore-forming toxin with high potency against human phagocytes .
Neutralization mechanism: Prevents assembly of LukGH pore complexes on target cell membranes without interfering with toxin-receptor binding .
Species specificity: Effective only against human cell-targeting leukocidins, necessitating humanized in vitro models for preclinical validation .
| Parameter | Description |
|---|---|
| Antibody Type | Fully human IgG1(κ) monoclonal antibody |
| Molecular Weight | ~150 kDa (typical for IgG1) |
| Target Pathogen | Staphylococcus aureus |
| Neutralized Toxins | LukGH (LukAB) |
| Development Stage | Phase 2 clinical trial (discontinued in 2018) |
ASN2 Antibody demonstrated robust efficacy in preclinical studies:
In vitro models:
Animal models:
| Toxin Neutralized | Target Cells Protected | Effective Concentration (EC₅₀) |
|---|---|---|
| LukGH | Neutrophils, Monocytes | ≤0.5 nM |
ASN2 Antibody was evaluated in a Phase 2 trial (NCT02940626) for preventing S. aureus pneumonia in mechanically ventilated patients. Key outcomes:
| Parameter | Details |
|---|---|
| Phase | 2 |
| Dose | 3,600 mg or 8,000 mg (combined with ASN-1) |
| Primary Endpoint | Incidence of S. aureus pneumonia at 21 days |
| Outcome | Futility declared; trial halted |
While ASN2 Antibody’s development was halted, insights from its clinical program include:
Challenges: Despite preclinical success, the complex pathophysiology of S. aureus pneumonia in ventilated patients likely contributed to trial futility .
Legacy: ASN2 highlighted the potential of toxin-neutralizing mAbs for antibiotic-resistant infections, paving the way for next-generation immunotherapies .
Future research may explore:
The Anti-ASN antibody is a rabbit polyclonal antibody that targets plant Asparagine Synthetase (ASN). Specifically, it was developed using purified recombinant Arabidopsis asparagine synthetase isoprotein 2 (ASN2) as the immunogen. The antibody recognizes both ASN2 and ASN1 isoproteins in plants due to their structural similarities. ASN2 is a crucial enzyme in nitrogen metabolism that catalyzes the ATP-dependent conversion of aspartate to asparagine, an important amino acid for nitrogen storage and transport in plants .
While ASN1 and ASN2 share significant sequence homology (76% identical in Arabidopsis), they differ in their expression patterns and potentially their physiological roles:
| Feature | ASN1 | ASN2 |
|---|---|---|
| Expression location | Floral organs | Leaf tissue |
| Primary function | Nitrogen metabolism in reproductive tissues | Nitrogen assimilation and distribution in vegetative tissues |
| Molecular mass | Similar to ASN2 | 65 kDa (in Arabidopsis) |
| Sequence conservation | 76% identity with ASN2 in Arabidopsis | 73.6% identity between Arabidopsis and Maize |
This tissue-specific expression pattern suggests that ASN1 and ASN2 may have evolved specialized functions in different plant organs, with ASN2 being particularly important for nitrogen metabolism in photosynthetic tissues .
The ASN2 antibody has been validated for several research applications:
Western blot analysis: Recommended at 1/1,000-1/2,000 dilution, ideal for detecting ASN2 protein in plant tissue extracts. Western blotting with this antibody produces a clear band at approximately 65 kDa when used with Arabidopsis leaf extracts .
ELISA (Enzyme-Linked Immunosorbent Assay): Useful for quantitative detection of ASN2, though the optimal dilution is assay-dependent and may require optimization for specific experimental conditions .
Immunohistochemistry on paraffin sections: Effective at 1/100-1/500 dilution, allowing researchers to visualize the spatial distribution of ASN2 within plant tissues .
Other applications have not been specifically tested, so researchers would need to validate the antibody for any alternative uses.
When adapting the ASN2 antibody for use with different plant species, researchers should consider several methodological approaches:
Cross-reactivity assessment: Given the 73.6% sequence identity between Arabidopsis and Maize ASN2, researchers working with diverse plant species should first verify cross-reactivity by running preliminary Western blots with positive controls from Arabidopsis .
Protein extraction optimization: Nitrogen metabolism enzymes may require specific extraction buffers to maintain protein stability. Consider using protein extraction buffers containing protease inhibitors and reducing agents to prevent degradation.
Dilution optimization: Start with the recommended 1/1,000-1/2,000 dilution range, but prepare a dilution series (e.g., 1/500, 1/1,000, 1/2,000, 1/5,000) to determine the optimal antibody concentration for your specific plant material .
Secondary antibody selection: For maximum sensitivity, use a high-quality HRP-conjugated secondary antibody, such as the goat anti-rabbit IgG antibody HRP-conjugated at 1/10,000 dilution as demonstrated in the validation studies .
Loading control selection: Include appropriate loading controls specific to the subcellular fraction where ASN2 is expected to be localized.
Since the anti-ASN antibody recognizes both ASN1 and ASN2 isoproteins, researchers must employ strategic approaches to distinguish between these related proteins:
Tissue-specific sampling: Leverage the differential expression patterns by using leaf tissue (enriched in ASN2) versus floral tissue (enriched in ASN1) for comparative analysis .
Molecular weight differentiation: While both proteins have similar molecular weights, slight differences may be detectable using high-resolution SDS-PAGE systems.
Genetic approaches: Utilize asn1 or asn2 knockout/knockdown mutant plants as negative controls to confirm antibody specificity. The antibody has been validated using mutant plants to confirm specificity .
Immunoprecipitation followed by mass spectrometry: For definitive identification of which ASN isoform is being detected in a specific sample.
Competitive binding assays: Using purified recombinant ASN1 or ASN2 proteins as competitors to determine relative antibody affinities.
When performing immunohistochemistry with the ASN2 antibody, researchers should consider:
Fixation protocol optimization: Aldehyde-based fixatives may preserve ASN2 antigenicity better than alcohol-based fixatives. Test both paraformaldehyde and glutaraldehyde-based fixation protocols.
Antigen retrieval: Plant tissues often require antigen retrieval steps due to extensive cross-linking during fixation. Heat-induced epitope retrieval in citrate buffer (pH 6.0) is often effective for plant tissues.
Blocking optimization: Plant tissues contain endogenous peroxidases and biotin, which can cause high background. Include hydrogen peroxide treatment and avidin/biotin blocking steps if using HRP or biotin-based detection systems.
Antibody dilution: Start with the recommended 1/100-1/500 dilution range, but optimize for your specific tissue type and fixation method .
Controls: Include both positive controls (tissues known to express ASN2) and negative controls (either primary antibody omission or ASN2 knockout tissues) to validate staining specificity.
When encountering variations from the expected 65 kDa molecular weight of ASN2, consider these potential explanations and solutions:
Post-translational modifications: ASN2 may undergo phosphorylation, glycosylation, or other modifications that alter its migration pattern. Consider using phosphatase treatment or deglycosylation enzymes to investigate this possibility.
Protein degradation: Partial degradation during sample preparation may produce lower molecular weight bands. Ensure fresh samples, maintain cold temperatures during preparation, and include protease inhibitors in extraction buffers.
Alternative splicing: Different splice variants may exist across species or conditions. Verify with RT-PCR or RNA-Seq data whether alternative transcripts are present in your experimental system.
Species-specific variations: The 65 kDa size is specific to Arabidopsis ASN2 . Other plant species may have slightly different molecular weights based on sequence variations.
Technical issues: Non-reducing conditions, incomplete denaturation, or overloading of protein can cause aberrant migration patterns. Ensure complete denaturation in SDS-PAGE sample buffer containing β-mercaptoethanol or DTT.
To effectively investigate ASN2's role during nitrogen stress, researchers might consider these methodological approaches:
Time-course experiments: Monitor ASN2 protein levels at multiple time points following nitrogen deprivation or resupply to capture dynamic changes in expression.
Comparative proteomics: Use the ASN2 antibody for immunoprecipitation followed by mass spectrometry to identify interaction partners that may change under nitrogen stress conditions.
Subcellular fractionation: Determine if nitrogen stress alters the subcellular localization of ASN2 by performing Western blot analysis on different cellular fractions.
Combining with transcriptomic analysis: Correlate ASN2 protein levels (detected via Western blot or ELISA) with ASN2 transcript levels to identify post-transcriptional regulation mechanisms.
In situ activity assays: Couple immunolocalization with enzyme activity assays to determine if nitrogen stress affects not only ASN2 abundance but also its enzymatic activity.
To create a comprehensive understanding of ASN2's role in nitrogen metabolism, consider these integrative approaches:
Correlation analysis: Compare ASN2 protein levels (quantified by ELISA or quantitative Western blot) with asparagine and aspartate concentrations (measured by LC-MS or GC-MS) across different tissues or treatments.
Isotope labeling: Combine immunoprecipitation of ASN2 complexes with metabolic flux analysis using 15N-labeled substrates to track nitrogen incorporation into asparagine and downstream metabolites.
Tissue-specific metabolite profiling: Use the ASN2 antibody for immunohistochemistry to map ASN2 distribution, then perform laser-capture microdissection of high-ASN2 regions followed by targeted metabolomics.
Enzyme activity correlation: Compare ASN2 protein abundance with asparagine synthetase activity measurements in the same samples to determine if post-translational regulation affects enzyme function.
Mutant metabolic phenotyping: Compare metabolite profiles between wild-type and asn2 mutant plants under various nitrogen conditions, correlating with ASN2 protein levels via Western blot.
To investigate ASN2's role in systemic nitrogen distribution via the phloem, researchers can employ these advanced approaches:
Phloem exudate analysis: Collect phloem exudates using the EDTA-facilitated or aphid stylectomy methods, then use the ASN2 antibody in Western blots to detect if ASN2 protein itself is mobile within the phloem stream .
Grafting experiments: Perform grafting between wild-type and asn2 mutant plants, then use the antibody to track ASN2 protein movement across graft junctions.
Immunohistochemistry of vascular tissues: Use the antibody at 1/100-1/500 dilution for high-resolution mapping of ASN2 in phloem companion cells, sieve elements, and surrounding tissues .
Transgenic approaches: Create transgenic plants expressing fluorescently-tagged ASN2 and validate proper localization using the ASN2 antibody as a reference for the native protein pattern.
Co-immunoprecipitation: Use the ASN2 antibody to identify phloem transport proteins that may interact with ASN2 during nitrogen remobilization events such as senescence.
When extending ASN2 research beyond model species like Arabidopsis, researchers should address these methodological considerations:
Sequence conservation analysis: Before experimental work, analyze ASN2 sequence conservation between your species of interest and Arabidopsis. The 73.6% identity between Arabidopsis and Maize ASN2 suggests reasonable cross-reactivity potential in diverse plants .
Epitope conservation verification: If possible, determine if the specific epitope recognized by the antibody is conserved in your species of interest through sequence alignment analysis.
Validation in each new species: Always validate the antibody in each new species by including positive controls (Arabidopsis extracts) alongside your experimental samples in initial Western blots.
Species-specific protocol optimization: Adjust protein extraction methods, antibody dilutions, and incubation conditions for each species, as cell wall composition and protein extraction efficiency vary significantly among plant taxa.
Expected molecular weight adjustments: Calculate the expected molecular weight of ASN2 in your species based on the amino acid sequence and adjust size markers accordingly when interpreting Western blot results.
The ASN2 antibody offers valuable applications for investigating nitrogen transfer between plants and their microbial symbionts:
Localization in symbiotic tissues: Use immunohistochemistry (1/100-1/500 dilution) to map ASN2 distribution in nodules, mycorrhizal roots, or other symbiotic structures .
Protein level changes during symbiosis: Monitor ASN2 protein abundance via Western blot (1/1,000-1/2,000 dilution) during the establishment and functioning of nitrogen-fixing symbioses .
Fractionation studies: Separate plant and microbial components of symbiotic tissues, then use the antibody to confirm the plant origin of detected asparagine synthetase activity.
Co-localization with symbiotic markers: Combine ASN2 immunolocalization with fluorescent markers for symbiosomes or arbuscules to determine spatial relationships between nitrogen assimilation and exchange structures.
Metabolic engineering validation: In plants genetically modified to alter nitrogen exchange with symbionts, use the antibody to confirm whether ASN2 protein levels reflect transcriptional changes.
To position ASN2 research within broader systems biology frameworks, consider these integrative approaches:
Multi-omics correlation: Correlate ASN2 protein levels (quantified via Western blot or ELISA) with transcriptomic, metabolomic, and phenomic datasets to identify regulatory networks .
Computational modeling validation: Use ASN2 antibody-based quantification to validate predictions from in silico models of plant nitrogen metabolism under various environmental conditions.
High-throughput phenotyping correlation: Correlate ASN2 protein levels across diverse germplasm with nitrogen use efficiency traits measured through automated phenotyping platforms.
Developmental stage mapping: Create a comprehensive map of ASN2 abundance across tissues and developmental stages using the antibody, then integrate this data with stage-specific transcriptome and metabolome databases.
Environmental response profiling: Quantify ASN2 protein dynamics across multiple environmental variables (light, temperature, nitrogen source) to build predictive models of nitrogen assimilation regulation.