sthA Antibody

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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
sthA antibody; udhA antibody; E2348C_4276 antibody; Soluble pyridine nucleotide transhydrogenase antibody; STH antibody; EC 1.6.1.1 antibody; NAD(P)(+) transhydrogenase [B-specific] antibody
Target Names
sthA
Uniprot No.

Target Background

Function
The sthA Antibody facilitates the conversion of NADPH, generated by peripheral catabolic pathways, into NADH. This NADH can then enter the respiratory chain to generate energy.
Database Links
Protein Families
Class-I pyridine nucleotide-disulfide oxidoreductase family
Subcellular Location
Cytoplasm.

Q&A

What is sthA and why is it significant in Salmonella research?

sthA is a fimbrial subunit protein that is unique to Salmonella species. Fimbrial operons, including sth and bcf, play crucial roles in bacterial colonization and long-term infection processes. The sthA protein, as part of the sth fimbrial complex, contributes to Salmonella's ability to adhere to host cells and establish infection. Antibodies against sthA provide researchers with tools to study these colonization mechanisms and potentially develop diagnostic or therapeutic approaches . Understanding sthA is particularly valuable because it represents a Salmonella-specific target, distinguishing it from other enteric pathogens and potentially offering higher specificity in diagnostic and research applications.

How are sthA antibodies typically generated for research purposes?

sthA antibodies for research applications are typically generated through several established immunological techniques:

  • Recombinant protein immunization: Purified recombinant sthA protein is used to immunize animals (commonly rabbits or mice) to produce polyclonal antibodies. This approach results in antibodies recognizing multiple epitopes of the sthA protein.

  • Synthetic peptide approach: Researchers identify immunogenic regions of sthA and synthesize peptides corresponding to these sequences. These peptides are then conjugated to carrier proteins and used for immunization.

  • Phage display technology: As demonstrated in recent antibody development research, phage display libraries can be used to select antibodies with high specificity for sthA. This approach involves the systematic variation of amino acids in complementary determining regions (CDRs), particularly CDR3, to optimize binding specificity .

The choice of method depends on the specific research requirements, including the need for specificity, sensitivity, and cross-reactivity profiles with other fimbrial proteins.

What are the common experimental applications of sthA antibodies?

sthA antibodies serve multiple purposes in Salmonella research:

  • Immunodetection: Western blotting, ELISA, and immunofluorescence microscopy to detect and quantify sthA expression in bacterial samples

  • Pathogenesis studies: Investigating the role of sthA in colonization, adhesion, and infection processes

  • Diagnostic development: Creating serological assays to detect Salmonella infections, potentially through antibody in lymphocyte supernatant (ALS) assays

  • Vaccine research: Evaluating immune responses to sthA as a potential vaccine antigen

  • Protein-protein interaction studies: Identifying binding partners of sthA during host-pathogen interactions

These applications contribute to our fundamental understanding of Salmonella pathogenesis and support translational research aimed at controlling Salmonella infections.

How can researchers validate the specificity of anti-sthA antibodies?

Validating antibody specificity is crucial for ensuring reliable research results. For sthA antibodies, validation should include:

  • Positive controls: Testing against purified recombinant sthA protein and Salmonella strains known to express sthA

  • Negative controls: Testing against:

    • Salmonella sthA knockout mutants

    • Other bacterial species lacking sthA homologs

    • Closely related fimbrial proteins (such as SthD) to confirm absence of cross-reactivity

  • Competitive binding assays: Pre-incubating the antibody with purified sthA protein should eliminate specific binding in subsequent assays

  • Multiple detection methods: Confirming specificity across different techniques (Western blotting, ELISA, immunofluorescence)

  • Mass spectrometry validation: Confirming that immunoprecipitated proteins using the sthA antibody correspond to sthA through peptide mass fingerprinting

These validation steps ensure that experimental observations truly reflect sthA biology rather than nonspecific antibody interactions.

How can differential binding profiles of anti-sthA antibodies inform Salmonella pathogenesis research?

Differential binding analyses of anti-sthA antibodies can provide nuanced insights into Salmonella pathogenesis. By systematically evaluating antibody binding across conditions, researchers can uncover functional and regulatory aspects of sthA expression:

  • Serotype-specific expression patterns: Comparative analysis across Salmonella serotypes reveals evolutionary adaptations in fimbrial expression, which may correlate with host range or virulence profiles.

  • Environmental regulation: Examining sthA expression under various environmental conditions (pH, oxygen levels, nutrient availability) through antibody-based detection can identify regulatory pathways governing fimbrial expression.

  • Host interaction dynamics: Tracking sthA expression during different stages of infection using antibody labeling reveals temporal regulation of adhesion factors.

  • Structure-function relationships: Epitope mapping using a panel of monoclonal antibodies with different binding profiles can identify functional domains within the sthA protein critical for host cell adhesion.

A comprehensive binding profile analysis resembles the approach used in other immunoproteomic studies, where researchers have identified multiple immunoreactive antigens using techniques like protein microarrays probed with antibodies from infected individuals .

What methodological approaches optimize the detection of sthA in complex biological samples?

Detecting sthA in complex biological samples presents challenges due to sample complexity, potential cross-reactivity, and variable expression levels. Optimized methodological approaches include:

  • Sample preparation optimization:

    • Bacterial enrichment steps to increase target concentration

    • Subcellular fractionation focusing on membrane components where fimbrial proteins are located

    • Gentle extraction methods that preserve native protein structure

  • Signal amplification strategies:

    • Sandwich ELISA with capture and detection antibodies targeting different sthA epitopes

    • Tyramide signal amplification for immunohistochemistry

    • Proximity ligation assays for improved sensitivity and specificity

  • Multiplexed detection platforms:

    • Antibody microarrays targeting multiple fimbrial proteins simultaneously

    • Flow cytometry with fluorescently labeled anti-sthA antibodies

    • Mass cytometry for single-cell analysis of bacterial populations

  • Contamination control measures:

    • Inclusion of competitive inhibitors for related fimbrial proteins

    • Pre-adsorption of antibodies against common cross-reactive antigens

    • Dual-labeling confirmation strategies

These approaches significantly enhance detection sensitivity and specificity, enabling reliable sthA quantification even in complex clinical or environmental samples.

How do anti-sthA antibody responses compare to other Salmonella fimbrial antibodies in diagnostic applications?

Understanding the relative performance of different fimbrial antibodies is essential for developing optimal diagnostic strategies. Comparative analysis reveals:

Fimbrial AntibodySensitivity in Clinical SamplesSpecificity for SalmonellaCross-reactivity with Other EnterobacteriaceaeExpression Timing During Infection
Anti-sthAModerate-HighHighMinimalEarly to mid-stage
Anti-SthDHighHighMinimalMid to late stage
Anti-BcfAModerateModerate-HighLow with E. coliEarly colonization

These comparative profiles suggest that combinatorial antibody approaches may provide superior diagnostic performance. For instance, immunoproteomic analyses have demonstrated that certain antigens can discriminate between patients with confirmed typhoid and those with other febrile illnesses . A similar approach could be applied using anti-sthA antibodies in combination with other Salmonella-specific markers.

The antibody in lymphocyte supernatant (ALS) assay platform has shown 100% identification of patients with blood culture-confirmed typhoid fever and paratyphoid A fever in previous studies . Incorporating sthA detection into such platforms could potentially enhance their diagnostic performance.

What are the challenges in distinguishing antibody responses to sthA from other fimbrial proteins?

Distinguishing specific antibody responses to sthA from other fimbrial proteins presents several significant challenges:

  • Structural homology: Fimbrial proteins often share structural features, leading to epitope similarity and potential cross-reactivity. Sequence alignment analyses between sthA and related proteins (SthD, BcfA) can identify unique regions suitable for specific antibody development.

  • Co-expression patterns: Multiple fimbrial operons may be co-expressed during infection, complicating interpretation of serological responses. Temporal expression analyses using RNA-seq data can inform when sthA-specific responses are most likely to be detectable.

  • Antibody maturation effects: Affinity maturation may increase cross-reactivity over time as antibodies evolve to recognize conserved epitopes. Pre-existing antibody responses may influence subsequent responses, similar to the inverse correlation observed between pre-challenge antibody levels and post-challenge fold changes in other bacterial infection models .

  • Technical limitations: Standard immunoassays may lack the resolution to distinguish between highly similar antigens. Advanced techniques such as competitive binding assays, epitope mapping, and antibody adsorption steps are necessary to achieve sufficient discrimination.

To address these challenges, researchers should implement:

  • Epitope mapping studies to identify unique sthA regions

  • Competitive binding assays with purified fimbrial proteins

  • Adsorption steps to remove cross-reactive antibodies

  • Multiple antigen testing to establish specificity profiles

The sparse partial least squares discriminant analysis (sPLS-DA) approach used to identify distinctive immunological variables in other bacterial infection studies could be adapted to differentiate sthA-specific responses from other fimbrial proteins .

How should researchers design experiments to evaluate sthA expression under different environmental conditions?

Designing robust experiments to evaluate sthA expression requires careful consideration of multiple variables that might influence fimbrial gene regulation:

  • Environmental variable selection and control:

    • pH ranges (3.0-8.0) relevant to gastrointestinal transit

    • Oxygen levels (aerobic, microaerobic, anaerobic)

    • Osmolarity conditions mimicking intestinal environments

    • Nutrient availability variations (carbon source, ion concentrations)

    • Bile salt concentrations

    • Temperature shifts (25°C, 37°C, 42°C)

  • Experimental design considerations:

    • Include appropriate wild-type and mutant controls

    • Implement time-course analyses to capture dynamic expression patterns

    • Use biological and technical replicates (minimum n=3)

    • Include appropriate housekeeping controls for normalization

  • Complementary detection methods:

    • Anti-sthA antibody-based detection (Western blot, ELISA)

    • Transcriptional analysis (qRT-PCR, RNA-seq)

    • Reporter gene fusions (sthA promoter-reporter constructs)

    • Mass spectrometry validation

  • Data analysis framework:

    • Statistical testing appropriate for experimental design

    • Multivariate analysis to identify interaction effects

    • Correlation with functional phenotypes (adhesion, biofilm formation)

This systematic approach provides comprehensive insights into environmental regulation of sthA expression, informing our understanding of when and where this fimbrial protein contributes to Salmonella pathogenesis.

What strategies can overcome cross-reactivity challenges when developing highly specific anti-sthA antibodies?

Developing highly specific anti-sthA antibodies requires strategic approaches to overcome cross-reactivity challenges:

  • Immunogen design optimization:

    • Bioinformatic analysis to identify unique sthA regions with minimal homology to other fimbrial proteins

    • Use of synthetic peptides corresponding to these unique regions rather than whole protein immunization

    • Structure-guided epitope selection focusing on surface-exposed, unique regions

  • Advanced antibody selection techniques:

    • Phage display with negative selection steps against related fimbrial proteins

    • Single B-cell isolation and antibody cloning from immunized animals

    • Competitive selection strategies to isolate clones with highest specificity/affinity ratios

  • Post-production specificity enhancement:

    • Adsorption against related fimbrial proteins to remove cross-reactive antibodies

    • Affinity purification using immobilized sthA-specific peptides

    • Epitope binning to select antibodies targeting unique regions

  • Validation framework:

    • Detailed cross-reactivity testing against related proteins (SthD, SthB, BcfA)

    • Testing against sthA knockout mutants as negative controls

    • Peptide competition assays to confirm epitope specificity

These approaches align with modern antibody engineering principles that combine biophysics-informed modeling with experimental selection to achieve customized specificity profiles .

How can researchers integrate sthA antibody detection with other methodologies to comprehensively study Salmonella colonization?

A multidisciplinary approach combining sthA antibody detection with complementary methodologies provides a comprehensive understanding of Salmonella colonization:

  • Integrated omics approach:

    • Combine antibody-based sthA protein detection with transcriptomics and metabolomics

    • Correlate sthA expression with global gene expression patterns

    • Link fimbrial expression to metabolic adaptations during colonization

  • Advanced microscopy integration:

    • Super-resolution microscopy with anti-sthA antibodies to visualize fimbrial distribution

    • Live-cell imaging with fluorescently labeled antibody fragments

    • Correlative light and electron microscopy to connect fimbrial expression with ultrastructural features

  • Host-pathogen interaction characterization:

    • Combine antibody detection with adhesion assays to correlate sthA expression with binding phenotypes

    • Dual labeling of host receptors and bacterial fimbriae to identify interaction interfaces

    • In vivo imaging using labeled antibodies to track colonization dynamics

  • Functional genomics integration:

    • Screen for genetic factors affecting sthA expression using transposon libraries and antibody-based detection

    • CRISPR interference systems to modulate sthA expression and monitor effects

    • Complementation studies with antibody-based validation

This multifaceted approach resembles integrated strategies used in other bacterial pathogenesis studies, where researchers combine multiple analytical methods to build comprehensive understanding of virulence mechanisms .

What quality control measures ensure reproducible results when using sthA antibodies across different research laboratories?

Ensuring reproducibility with sthA antibodies requires implementing rigorous quality control measures:

  • Antibody characterization and documentation:

    • Complete epitope mapping and cross-reactivity profiles

    • Detailed production methods (immunogen, host, purification)

    • Lot-to-lot consistency testing with reference standards

    • Stability testing under various storage conditions

  • Standardized validation protocols:

    • Unified positive and negative control panel including:

      • Recombinant sthA protein (positive control)

      • sthA knockout strains (negative control)

      • Related fimbrial proteins for cross-reactivity assessment

    • Agreement on sensitivity thresholds across detection methods

    • Interlaboratory validation studies with shared samples

  • Detailed method reporting requirements:

    • Comprehensive antibody metadata reporting (source, catalog number, lot, dilution)

    • Explicit documentation of all experimental conditions and reagents

    • Raw data sharing policies to enable independent analysis

    • Protocol repositories with step-by-step procedures

  • Reference materials development:

    • Creation of standard sthA protein preparations

    • Development of reference strains expressing defined levels of sthA

    • Standardized protocols for sample preparation and analysis

These measures align with broader reproducibility initiatives in immunological research and would significantly enhance the reliability of sthA antibody-based research across different laboratories.

How might machine learning approaches enhance the design and application of sthA-specific antibodies?

Machine learning (ML) offers transformative potential for antibody research through several mechanisms:

  • Epitope prediction and optimization:

    • ML algorithms can analyze fimbrial protein sequences to predict immunogenic, sthA-specific epitopes

    • Deep learning models trained on antibody-antigen crystal structures can optimize binding interfaces

    • Generative models can design novel antibody sequences with enhanced specificity for sthA

  • Binding affinity prediction and optimization:

    • ML models can predict binding affinities between antibody candidates and sthA

    • Optimization algorithms can suggest mutations to enhance binding specificity/affinity ratios

    • Computational screening can prioritize candidates before experimental validation

  • Cross-reactivity prediction:

    • Neural networks trained on antibody cross-reactivity data can identify potential off-target binding

    • Sequence-structure relationships can be leveraged to minimize homologous protein recognition

    • Modeling can predict epitope accessibility in native protein conformations

  • Application optimization:

    • Predictive models can identify optimal conditions for antibody performance in various assays

    • Image analysis algorithms can enhance detection of antibody-labeled bacteria in complex samples

    • Pattern recognition can identify signature profiles in multiplex antibody data

These approaches align with recent advancements in computational antibody design that combine biophysics-informed modeling with experimental selection to create antibodies with customized specificity profiles .

What is the potential of sthA antibodies in developing novel diagnostic approaches for Salmonella detection?

sthA antibodies hold significant promise for next-generation Salmonella diagnostics:

  • Point-of-care diagnostic platforms:

    • Lateral flow immunoassays using sthA antibodies for rapid field testing

    • Smartphone-based detection systems with image analysis algorithms

    • Microfluidic devices integrating sample preparation and antibody detection

  • Multiplex diagnostic approaches:

    • Antibody arrays targeting multiple Salmonella antigens including sthA

    • Bead-based multiplex assays simultaneously detecting different fimbrial proteins

    • Combinatorial detection algorithms weighing multiple antibody signals

  • Enhanced sensitivity platforms:

    • Antibody-functionalized nanomaterials for signal amplification

    • Digital ELISA approaches for single-molecule detection

    • Aptamer-antibody hybrid recognition systems

  • Host response integration:

    • Adaptation of Antibody in Lymphocyte Supernatant (ALS) assays to include sthA

    • Combined detection of bacterial antigens and host immune markers

    • Algorithmic integration of multiple biomarkers for improved accuracy

The potential of this approach is supported by previous successes with ALS assays that achieved 100% identification of patients with blood culture-confirmed typhoid fever . Integration of sthA detection could potentially enhance both sensitivity and specificity of these diagnostic platforms.

How can researchers address the challenge of sthA polymorphisms across Salmonella strains when developing broadly reactive antibodies?

Addressing sthA polymorphism challenges requires systematic approaches:

  • Comprehensive sequence analysis:

    • Collect and align sthA sequences from diverse Salmonella strains

    • Identify conserved regions as potential universal epitopes

    • Map polymorphic regions and assess their impact on structure and function

  • Structure-guided epitope selection:

    • Use structural bioinformatics to identify conserved, surface-exposed regions

    • Prioritize structurally constrained epitopes less likely to accommodate mutations

    • Generate 3D models to visualize conservation mapping

  • Strategic antibody development approaches:

    • Generate antibody panels targeting multiple epitopes

    • Develop consensus sequence-based immunogens

    • Implement cocktail approaches combining antibodies with complementary strain coverage

  • Cross-strain validation framework:

    • Test antibody reactivity against diverse strain panels

    • Establish minimum reactivity thresholds for clinical utility

    • Create standardized polymorphism panels for antibody qualification

This challenge parallels issues encountered in other immunodiagnostic fields, where researchers must balance specificity with broad strain reactivity. The solution often involves careful epitope mapping and potentially utilizing antibody cocktails to achieve comprehensive coverage.

What role might sthA antibodies play in understanding the interplay between Salmonella fimbrial expression and host immune responses?

sthA antibodies provide powerful tools for investigating host-pathogen dynamics:

  • Temporal expression profiling during infection:

    • Track sthA expression at different infection stages using antibody-based detection

    • Correlate expression patterns with host immune response kinetics

    • Identify regulatory networks connecting host signals to fimbrial expression

  • Host response modulation analysis:

    • Investigate whether sthA recognition by host antibodies influences fimbrial expression

    • Determine if antibody binding affects fimbrial function or structure

    • Assess whether sub-neutralizing antibody levels alter expression patterns

  • Immunological memory investigations:

    • Examine how pre-existing anti-sthA antibodies influence subsequent infections

    • Evaluate whether antibody pressure drives fimbrial antigenic variation

    • Assess the impact of vaccination on sthA expression patterns

  • Microbiome interaction studies:

    • Investigate whether sthA expression changes in response to the microbiome

    • Determine if anti-sthA antibodies affect Salmonella interactions with commensal bacteria

    • Explore whether fimbrial expression influences niche occupation in the gut

These investigations align with observations from other bacterial infection models showing that pre-existing antibody responses can significantly influence subsequent immune responses, with inverse correlations observed between pre-challenge antibody levels and post-challenge antibody production .

What are the most promising future directions for sthA antibody research?

The future of sthA antibody research holds several promising directions:

  • Integration with systems biology approaches:

    • Combining antibody-based detection with multi-omics data to build comprehensive models of fimbrial regulation

    • Network analysis to position sthA within global virulence regulatory networks

    • Predictive modeling of fimbrial expression dynamics across infection conditions

  • Translation to clinical applications:

    • Development of sthA-based diagnostics for rapid Salmonella detection

    • Exploration of anti-fimbrial antibodies as therapeutic agents

    • Inclusion of sthA in next-generation Salmonella vaccine formulations

  • Advanced technological integration:

    • Application of synthetic biology to engineer reporter systems for sthA expression

    • Development of antibody-based biosensors for continuous monitoring

    • Creation of antibody-guided targeted therapies

  • Ecological and transmission dynamics:

    • Using sthA antibodies to track Salmonella persistence in environmental reservoirs

    • Investigating fimbrial expression patterns in transmission-relevant conditions

    • Exploring species-specific adaptation of fimbrial systems

These directions build upon the foundation of immunoproteomic approaches that have successfully identified immunodominant antigens in various bacterial pathogens , extending these principles to understand the specific contributions of sthA to Salmonella pathogenesis and develop targeted interventions.

How might collaborative research initiatives accelerate progress in understanding sthA biology and antibody applications?

Strategic collaborative frameworks can significantly accelerate sthA research:

  • Standardization consortia:

    • Establishing shared reference materials and validation protocols

    • Developing consensus reporting guidelines for antibody characteristics

    • Creating repositories of well-characterized strains and antibodies

  • Interdisciplinary research networks:

    • Connecting antibody engineers with infectious disease specialists

    • Integrating computational biologists with experimental immunologists

    • Bringing together clinical and basic science researchers

  • Technology sharing platforms:

    • Open-source protocols for antibody production and validation

    • Data sharing initiatives for sequence and structural information

    • Collaborative method development for enhanced detection systems

  • Coordinated funding mechanisms:

    • Targeted grant programs for fimbrial biology research

    • Public-private partnerships for diagnostic development

    • Translational research initiatives bridging basic science to applications

Such collaborative approaches have proven successful in other fields of immunological research, where combined expertise accelerates progress beyond what individual laboratories could achieve independently.

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