96 kDa cell wall Antibody

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Description

Introduction to the 96 kDa Cell Wall Antibody

The 96 kDa protein is a cell wall-associated antigen in Candida albicans, a pathogenic fungus causing opportunistic infections. Antibodies against this protein are primarily IgG and IgA isotypes, which are detected in both human patients and animal models of systemic candidiasis . Unlike heat shock proteins (e.g., Hsp90), this antigen is not induced by stress responses, making it a stable target for diagnostic and therapeutic strategies .

Key Features of the 96 kDa Antigen

ParameterDetailSource
Molecular Weight96 kDa
ImmunoglobulinIgG, IgA
EpitopeUnknown
DetectionHumans (patients), animal models
Heat InductionNot heat shock-induced

Diagnostic Challenges

  • Mannan Interference: Antibodies to mannans (ubiquitous Candida polysaccharides) often dominate serological responses, reducing specificity .

  • Sensitivity vs. Specificity: While the 96 kDa protein is a major antigen, its detection in patients with systemic infections is less consistent than other markers (e.g., Hsp90) .

Potential Utility

  • Biomarker for Disseminated Infection: Elevated IgG/IgA titers against the 96 kDa protein are observed in systemic candidiasis, though not universally .

  • Therapeutic Target: Antibodies against this protein could block fungal adhesion or enhance opsonization, though clinical trials are lacking .

Human Studies

  • Patient Serology: Antibodies to the 96 kDa protein are detected in patients with systemic candidiasis, particularly in non-neutropenic individuals .

  • Cross-Reactivity: The protein is absent in non-pathogenic Entamoeba histolytica strains but present in pathogenic isolates, highlighting species-specific variations .

Animal Models

  • Mouse Models: Passive immunization with anti-96 kDa antibodies reduces fungal burden in systemic infection models, though efficacy varies with antibody concentration and specificity .

Comparative Analysis with Other Cell Wall Antigens

AntigenKey FeaturesClinical Relevance
Hsp90 (47 kDa)Heat shock protein; conserved epitopesStrong association with survival
SAPs (Secreted)Aspartic proteases; tissue invasion markersElevated in mucosal infections
MannoproteinsCarbohydrate-rich; induce IgA/IgG responsesUbiquitous, low specificity for diagnosis
Adh1/Adh2Alcohol dehydrogenases; hypha-specific markersDetected in hyphal forms

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
96 kDa cell wall protein antibody; Fragment antibody
Uniprot No.

Target Background

Subcellular Location
Secreted, cell wall.

Q&A

What is the significance of 96-110 kDa antigens in bacterial cell walls?

The 96-110 kDa antigens found in bacterial cell walls, particularly in Staphylococcus aureus, represent immunodominant proteins that elicit strong antibody responses during infection. Research has demonstrated that two specific antigens with apparent molecular weights of 98 kDa and 110 kDa are uniquely present in patients with deep-seated S. aureus infections but absent in those with superficial infections or healthy controls . These antigens appear to be species-specific, as they are not shared by other Gram-positive bacteria like S. epidermidis or Gram-negative bacteria such as E. coli or Klebsiella species . Their presence in immunoblot profiles can serve as potential biomarkers for differentiating infection severity and progression, making them valuable targets for both diagnostic and therapeutic development.

How do antibody responses to cell wall antigens differ between superficial and deep infections?

Patients with deep-seated infections exhibit a markedly different antibody response profile compared to those with superficial infections. Immunoblot analyses reveal that sera from patients with deep-seated staphylococcal infections display a larger number of immunoreactive bands compared to those with superficial infections . The most notable difference is the presence of antibodies recognizing the 98 kDa and 110 kDa antigens, which were detected in 96% of patients with deep-seated infections but completely absent in patients with superficial infections and healthy individuals . Additionally, patients with deep-seated infections demonstrate significantly elevated levels of IgG antibodies against teichoic acid (TA) and peptidoglycan (PG) cell wall components. All patients (100%) with deep-seated infections showed elevated anti-TA antibodies, while only 40% of patients with superficial infections exhibited such elevation . Similarly, 72% of patients with deep infections showed elevated anti-PG antibodies compared to 60% of patients with superficial infections .

What are the standard methods for detecting 96 kDa cell wall antibodies in research settings?

The detection of 96 kDa cell wall antibodies typically employs several complementary techniques. Immunoblotting (Western blot) is the primary method used to visualize specific antibody binding to cell wall antigens separated by molecular weight . This technique allows researchers to identify the exact molecular weight of targeted antigens and is particularly useful for discovering unique immunoreactive bands like the 98 kDa and 110 kDa antigens in S. aureus infections.

Enzyme-linked immunosorbent assay (ELISA) provides quantitative assessment of antibody levels against specific cell wall components such as peptidoglycan and teichoic acid . In standard protocols, purified cell wall antigens are coated onto microtiter plates, patient sera are applied at appropriate dilutions, and bound antibodies are detected using enzyme-conjugated secondary antibodies. Flow cytometry may also be employed, particularly for detecting antibodies bound to intact cells or cell wall preparations, with starting dilutions typically around 1:50 for optimal detection .

For more advanced applications, microfluidic encapsulation coupled with flow cytometry sorting offers high-throughput screening capabilities for antibody-secreting cells that produce antibodies against specific antigens .

How can researchers optimize immunoblot protocols for detecting specific 96-110 kDa cell wall antigens?

Optimizing immunoblot protocols for detecting specific 96-110 kDa cell wall antigens requires careful attention to several key parameters. First, protein extraction methods significantly impact the yield and quality of cell wall antigens. For S. aureus, researchers should consider using specialized cell wall extraction buffers containing lysostaphin to break down the peptidoglycan layer, followed by differential centrifugation to separate cell wall fractions from cytoplasmic proteins .

SDS-PAGE separation parameters are critical for resolving high molecular weight proteins in the 96-110 kDa range. Researchers should use gradient gels (e.g., 4-12% or 6-15%) rather than fixed percentage gels to achieve optimal resolution in this molecular weight range. Transfer conditions for these high molecular weight proteins often benefit from longer transfer times (overnight at lower voltage) or the addition of SDS (0.1%) to the transfer buffer to improve the efficiency of protein transfer to membranes .

For antibody incubation, blocking with 5% non-fat milk or BSA should be followed by primary antibody dilutions optimized through titration experiments. Detection sensitivity can be enhanced using amplification systems such as biotin-streptavidin or tyramide signal amplification when working with samples containing low antibody titers. When comparing samples from different patient groups, it is essential to normalize loading amounts and include internal standards to ensure valid comparisons between immunoblots processed in separate batches .

What are the recent advances in microfluidic approaches for isolating monoclonal antibodies against cell wall antigens?

Recent technological advances have revolutionized the isolation of monoclonal antibodies against cell wall antigens through microfluidic approaches. A cutting-edge method combines microfluidic encapsulation of single antibody-secreting cells (ASCs) with flow cytometry-based sorting to rapidly identify antigen-specific antibodies . This approach encapsulates individual cells into an antibody capture hydrogel at an impressive rate of 10^7 cells per hour, creating a stable matrix that concentrates secreted antibodies and simplifies the addition and removal of detection reagents .

The key innovation in this methodology is the ability to link antibody secretion directly to antigen binding within the microfluidic environment. After encapsulation, the secreted antibodies are captured within the hydrogel surrounding each cell, and fluorescently-labeled target antigens (such as specific cell wall components) are introduced to bind to the captured antibodies . The cells with hydrogels containing antigen-bound antibodies can then be sorted using conventional flow cytometry based on fluorescence intensity.

This approach offers several advantages over traditional methods: it enables screening of millions of primary ASCs with high throughput; it achieves high hit rates (>85% of characterized antibodies binding to target antigens); and it significantly reduces the time required for antibody discovery to approximately two weeks . The method also allows for isolation of antibodies with exceptional binding characteristics, including those with subnanomolar affinities and high neutralizing capacities (<100 ng/ml) .

How does the recognition of 96 kDa cell wall antigens differ between polyclonal and monoclonal antibody approaches?

The recognition of 96 kDa cell wall antigens differs substantially between polyclonal and monoclonal antibody approaches, each offering distinct advantages and limitations for research applications. Polyclonal antibodies, derived from multiple B-cell lineages, recognize diverse epitopes on the target antigen, providing robust detection capabilities even when protein conformations change due to experimental conditions . This multi-epitope recognition increases detection sensitivity, as demonstrated in studies of S. aureus infections where polyclonal responses to the 98 kDa antigen correlated with infection severity .

For research applications requiring quantitative analyses, monoclonal antibodies provide more consistent and reproducible results due to their homogeneous nature. When screening patient samples, monoclonal antibodies against the 96-110 kDa S. aureus antigens might miss some positive samples that polyclonal antibodies would detect, but would provide more reliable specificity for distinguishing between superficial and deep infections .

What controls should be included when characterizing antibody responses to cell wall antigens?

Robust experimental design for characterizing antibody responses to cell wall antigens requires a comprehensive set of controls to ensure valid and interpretable results. First, researchers should include both positive and negative patient controls - sera from patients with confirmed deep-seated infections, superficial infections, and healthy individuals without history of relevant infections . These controls establish baseline reactivity patterns and help identify infection-specific versus common antigenic targets.

Antigen specificity controls are equally important. Cross-reactivity testing should be performed with related bacterial species to confirm the specificity of the observed antibody responses. For instance, when studying S. aureus 96-110 kDa antigens, controls should include testing against other Gram-positive bacteria (S. epidermidis, coagulase-negative staphylococci) and Gram-negative bacteria (E. coli, Klebsiella spp.) .

Technical controls should include pre-immune sera (collected before infection or immunization) to establish baseline antibody levels, isotype controls to confirm detection antibody specificity, and secondary antibody-only controls to identify non-specific binding. For quantitative assays like ELISA, standard curves using purified antibodies of known concentration should be included to enable accurate quantification .

The table below summarizes key controls and their purpose in antibody response characterization experiments:

Control TypeExamplesPurpose
Patient ControlsDeep infection sera, superficial infection sera, healthy seraEstablish disease-specific patterns
Antigen SpecificityRelated bacterial species, purified antigensConfirm target specificity
Technical ControlsPre-immune sera, isotype controls, secondary antibody onlyIdentify non-specific interactions
Quantitative StandardsPurified antibodies of known concentrationEnable accurate quantification

What are the methodological challenges in isolating and characterizing 96 kDa cell wall antigens?

The isolation and characterization of 96 kDa cell wall antigens present several methodological challenges that researchers must address for successful studies. First, extraction efficiency and protein integrity are substantial hurdles. Cell wall proteins are often tightly associated with structural components like peptidoglycan and teichoic acid, requiring harsh extraction conditions that may compromise protein structure . Different extraction methods (enzymatic digestion, detergent solubilization, or mechanical disruption) yield different subsets of cell wall proteins, necessitating multiple complementary approaches for comprehensive analysis.

Contamination with non-cell wall proteins represents another significant challenge. Cytoplasmic proteins released during extraction can contaminate cell wall preparations, leading to false identifications. Sequential extraction protocols with differential centrifugation and careful washing steps are essential for obtaining pure cell wall fractions . Additionally, membrane proteins may co-purify with cell wall fractions due to physical association or similar physicochemical properties.

Post-translational modifications of cell wall proteins, particularly glycosylation, affect their apparent molecular weight and immunogenicity. The 96 kDa antigens observed in immunoblots may actually represent proteins with lower core molecular weights that are extensively modified . Mass spectrometry analysis coupled with deglycosylation treatments is required to determine the true molecular weight and identity of these antigens.

How should researchers approach epitope mapping of cell wall antibodies targeting 96-110 kDa antigens?

Epitope mapping of cell wall antibodies targeting 96-110 kDa antigens requires a strategic, multi-technique approach for comprehensive characterization. Researchers should begin with fragmentation-based methods, creating overlapping peptide fragments of the target antigen through enzymatic digestion or recombinant expression of protein segments. These fragments can then be screened for antibody binding using techniques like ELISA, immunoblotting, or peptide arrays to identify the general regions containing epitopes .

For higher resolution mapping, synthetic peptide arrays offer powerful capabilities. By synthesizing overlapping peptides (typically 15-20 amino acids with 5-10 amino acid overlaps) spanning the regions of interest, researchers can precisely locate linear epitopes recognized by antibodies. This approach is particularly valuable for distinguishing between closely related epitopes within the 96-110 kDa range antigens .

Competition assays provide functional information about epitope relationships. By pre-incubating antibodies with purified fragments or peptides before exposure to the full antigen, researchers can identify which segments block binding to the intact protein. This approach helps determine whether multiple antibodies recognize the same or different epitopes, information crucial for developing diagnostic or therapeutic applications .

For conformational epitopes, which are common in cell wall proteins, hydrogen-deuterium exchange mass spectrometry (HDX-MS) or cryo-electron microscopy (cryo-EM) of antibody-antigen complexes offers structural insights not possible with linear epitope mapping techniques. These methods can reveal how antibodies interact with folded regions of 96-110 kDa cell wall antigens, information essential for understanding the functional consequences of antibody binding .

How can researchers resolve discrepancies between immunoblot and ELISA results for cell wall antibodies?

Discrepancies between immunoblot and ELISA results for cell wall antibodies are common and require systematic troubleshooting to resolve. The fundamental difference in antigen presentation between these assays often underlies such discrepancies. In immunoblots, proteins are denatured and epitopes may be altered or destroyed, while in ELISA, proteins can maintain more native conformations . Researchers should first confirm whether the antibodies recognize conformational epitopes (typically detected better by ELISA) or linear epitopes (often preserved in immunoblots).

Differences in sensitivity thresholds also contribute to result variations. Immunoblots with enhanced chemiluminescence detection can detect very low antibody levels that might register as negative in standard ELISA protocols. To address this, researchers should perform titration experiments using serial dilutions of antibody samples in both assays to determine the detection limits and optimal working concentrations .

Cross-reactivity with contaminating proteins may cause false positives in one assay but not the other. This is particularly relevant for cell wall preparations, which often contain trace amounts of cytoplasmic proteins. Researchers should use highly purified antigens for ELISA and include appropriate blocking steps in both assays to minimize non-specific binding . Pre-absorption of sera with common cross-reactive antigens can also help identify and eliminate false positive signals.

The table below outlines common discrepancies and resolution strategies:

Discrepancy TypePossible CausesResolution Strategies
Positive in ELISA, Negative in ImmunoblotConformational epitopes; Low antibody concentration; Inefficient transfer in blottingUse native gel conditions; Optimize transfer parameters; Increase antibody concentration
Positive in Immunoblot, Negative in ELISALinear epitopes; Antibody specificity to denatured forms; Low coating efficiency in ELISADenature antigens for ELISA; Adjust coating conditions; Validate antigen integrity
Different intensity patternsDifferential sensitivity; Varying background in different sample matricesPerform dilution series; Use consistent sample preparation; Normalize to internal standards

What factors should be considered when interpreting antibody titers against cell wall antigens across patient populations?

Interpreting antibody titers against cell wall antigens across patient populations requires consideration of multiple influential factors to avoid misinterpretations. First, the infection stage and duration significantly impact antibody levels. Antibody titers against cell wall antigens like the 98 kDa and 110 kDa proteins in S. aureus typically increase during the progression from superficial to deep-seated infections . Researchers should document the timing of sample collection relative to symptom onset and include longitudinal sampling when possible.

Pre-existing immunity and cross-reactivity significantly influence baseline antibody levels. Previous exposures to related antigens from similar bacterial species or environmental sources can establish variable baseline titers. This background must be established through appropriate control populations and pre-infection samples when available . Host factors like age, immunocompetence, and genetic background also substantially affect antibody production capacity. Studies comparing patient populations should include demographic data and immunological parameters to account for these variables.

Treatment history impacts antibody responses in complex ways. Antimicrobial therapy may rapidly reduce antigenic load, potentially resulting in lower antibody stimulation despite severe initial infection. Conversely, effective treatment that clears infection slowly may allow for robust antibody development. Documentation of treatment timing and efficacy is essential for proper interpretation .

Technical variables in antibody measurement, including assay platform differences, reagent sources, and laboratory conditions, introduce variability that complicates cross-study comparisons. Inter-laboratory standardization using reference sera and consistent protocols is crucial. For quantitative comparisons across studies, researchers should convert raw data to internationally standardized units whenever possible .

How can researchers distinguish between antibodies targeting specific 96 kDa cell wall proteins versus other similarly sized antigens?

Distinguishing between antibodies targeting specific 96 kDa cell wall proteins versus other similarly sized antigens requires multi-layered analytical approaches to ensure accurate identification. Researchers should begin with two-dimensional gel electrophoresis (2D-GE) to separate proteins based on both molecular weight and isoelectric point. This technique can resolve proteins of similar molecular weights but different charges, providing greater discrimination than one-dimensional SDS-PAGE alone . After 2D-GE separation, immunoblotting with patient sera can identify specific spots representing immunoreactive 96 kDa proteins.

Mass spectrometry analysis of immunoreactive spots provides definitive protein identification. Researchers should excise the spots, perform in-gel digestion, and analyze the resulting peptides using techniques like MALDI-TOF MS or LC-MS/MS. The peptide mass fingerprints or sequence data can then be searched against protein databases to identify the specific 96 kDa proteins . This approach is particularly valuable for distinguishing between cell wall proteins and cytoplasmic contaminants of similar molecular weights.

Competition and absorption experiments offer functional discrimination between antibody populations. By pre-incubating sera with purified candidate antigens before immunoblotting or ELISA, researchers can determine which specific antigens are responsible for the observed reactivity . If pre-incubation with a specific 96 kDa protein eliminates the signal, this confirms that the antibodies are indeed targeting that particular protein rather than similarly sized alternatives.

Epitope-specific antibody purification provides the most definitive approach. Researchers can immobilize candidate 96 kDa proteins on affinity columns, pass patient sera through these columns, and elute the specific antibodies that bind to each protein . These purified antibody fractions can then be used in various assays to confirm their specificity and cross-reactivity profiles, establishing unambiguous identification of the target antigens.

What are the prospects for developing diagnostic tests based on antibody responses to 96-110 kDa cell wall antigens?

The development of diagnostic tests based on antibody responses to 96-110 kDa cell wall antigens shows considerable promise for improving infection diagnosis, particularly for distinguishing between superficial and deep-seated bacterial infections. The high specificity of antibodies against the 98 kDa and 110 kDa antigens in patients with deep-seated S. aureus infections (present in 96% of these patients but absent in superficial infections) provides an excellent foundation for developing highly specific diagnostic markers . These unique immunological signatures could enable earlier identification of invasive infections before clinical symptoms fully manifest.

Several technical approaches show particular promise. Multiplexed bead-based immunoassays could simultaneously detect antibodies against multiple cell wall antigens, including the 96-110 kDa proteins, teichoic acid, and peptidoglycan, providing a comprehensive profile of infection status . This approach would offer greater diagnostic accuracy than single-antigen tests by capturing the full spectrum of the antibody response. Point-of-care lateral flow assays specifically targeting antibodies against the 98 kDa and 110 kDa proteins could provide rapid results in clinical settings without sophisticated laboratory infrastructure.

How might antibodies against 96 kDa cell wall antigens be utilized in therapeutic applications?

Antibodies against 96 kDa cell wall antigens hold significant potential for therapeutic applications through multiple mechanisms of action. Opsonization enhancement represents a primary therapeutic mechanism. Antibodies binding to cell wall antigens can mark bacterial cells for recognition by phagocytes through Fc receptor interactions, enhancing clearance of pathogens . The specificity of antibodies targeting the 96-110 kDa antigens in S. aureus could enable selective targeting of virulent strains while sparing commensal bacteria.

Neutralization of virulence factors offers another therapeutic avenue. If the 96 kDa cell wall proteins are involved in bacterial adhesion, invasion, or immune evasion, antibodies binding these targets could directly inhibit these functions . Studies with C. albicans have demonstrated that antibodies against specific cell wall mannoproteins can block adhesion to host tissues, suggesting similar approaches might work for bacterial pathogens .

Antibody-antibiotic conjugates represent an innovative therapeutic strategy. By linking antibiotics to antibodies targeting the 96 kDa cell wall antigens, researchers could create highly specific delivery vehicles that concentrate antimicrobial agents at infection sites . This approach could enhance efficacy while reducing systemic exposure and side effects. Similarly, antibody-directed immune modulators could deliver immunostimulatory molecules specifically to infection sites, enhancing local immune responses without triggering systemic inflammation .

The development of these therapeutic applications faces several challenges, including optimizing antibody formulations for tissue penetration, ensuring stability in the presence of bacterial proteases, and managing potential immune complex formation . Clinical development will require careful assessment of safety profiles, particularly regarding potential cross-reactivity with host tissues and the risk of triggering hypersensitivity reactions.

What methodological advances are needed to improve the characterization of antibody responses to cell wall antigens?

Advancing the characterization of antibody responses to cell wall antigens requires several methodological improvements to overcome current limitations. Single-cell antibody repertoire analysis technologies need refinement to more efficiently link antigen specificity with sequence information. While microfluidic approaches have improved throughput , further development is needed to enable direct identification of antibodies targeting specific epitopes on complex cell wall antigens without requiring recombinant expression of the complete antibody.

Improved antigen preparation methods are crucial for accurate characterization. Current cell wall protein extraction protocols often yield heterogeneous preparations with variable purity and native conformation preservation . Developing standardized methods that maintain protein integrity while ensuring consistent extraction efficiency would significantly enhance comparability between studies and improve epitope mapping accuracy.

High-resolution structural analysis of antibody-antigen complexes represents another essential advancement. While cryo-EM and X-ray crystallography provide valuable insights, these techniques remain challenging for cell wall proteins due to their glycosylation, hydrophobicity, and tendency to aggregate . Innovations in sample preparation and analysis techniques that accommodate these challenging properties would enable more detailed understanding of antibody binding mechanisms and inform rational therapeutic design.

Systems-level analysis of antibody responses would provide more comprehensive characterization of host-pathogen interactions. Integration of antibody repertoire sequencing with functional assays, cytokine profiling, and cellular immune response measurements could reveal how antibodies against 96 kDa cell wall antigens coordinate with other immune components . This holistic approach would better define the role of these specific antibodies within the broader immune response and identify optimal targets for diagnostic and therapeutic development.

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