spn3 Antibody

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Description

Identification and Target Specificity

The SPN3 antibody recognizes the SPN antigen, later identified as NuMA protein through sequence alignment and immunoprecipitation experiments . NuMA is a high-molecular-weight protein involved in spindle pole organization during mitosis. Key evidence includes:

  • Immunoprecipitation: SPN antigen reacted with human NuMA autoimmune serum .

  • Cyanogen Bromide Peptide Analysis: Three SPN-derived peptides matched NuMA sequences, confirming molecular identity .

Functional Role in Mitosis

Microinjection studies in PtK2 cells reveal SPN3 antibody’s impact on mitotic fidelity:

Mitotic Phase During InjectionAbnormal Cytokinesis or Micronuclei Rate
Prophase90%
Prometaphase78%
Metaphase77%
Anaphase16%

Key Findings:

  • Early Mitotic Disruption: SPN3 injection during prophase-metaphase caused severe cytokinesis defects, implicating NuMA’s role in spindle pole stability .

  • Late Mitotic Resistance: Anaphase injections showed minimal abnormalities, suggesting NuMA’s function is dispensable post-chromosome segregation .

Mechanistic Parallels to Microtubule-Targeting Agents

SPN3 antibody effects mirror outcomes of colcemid (microtubule-depolymerizing agent) and taxol (microtubule-stabilizing agent) treatments:

  • Colcemid Comparison: Both induce multipolar spindles and micronuclei .

  • Taxol Comparison: Both cause mitotic arrest and failed cytokinesis .

Implications for Cellular Biology and Disease

  • NuMA Dysregulation: SPN3 studies highlight NuMA’s essential role in spindle organization, with defects linked to genomic instability .

  • Therapeutic Insights: Mechanisms overlap with chemotherapeutic agents, suggesting NuMA as a potential target for mitosis-disrupting therapies .

Limitations and Open Questions

  • Species Specificity: Studies focused on PtK2 and HeLa cells; relevance to human physiology requires further validation .

  • Structural Epitopes: Exact antibody-binding sites on NuMA remain uncharacterized .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
spn3 antibody; SPBC16A3.01 antibody; SPBC543.01c antibody; Septin homolog spn3 antibody
Target Names
spn3
Uniprot No.

Target Background

Function
Spn3 antibody plays a crucial role in the cell cycle. It is involved in a late stage of septum formation, ultimately leading to the separation of daughter cells.
Database Links
Protein Families
TRAFAC class TrmE-Era-EngA-EngB-Septin-like GTPase superfamily, Septin GTPase family
Subcellular Location
Cytoplasm, cell cortex. Note=Localizes to the medial ring at the cell cortex of dividing cells.

Q&A

What is SPN3 and why are antibodies against it important for research?

SPN3 (Streptococcus pneumoniae serotype 3) is a clinically significant pneumococcal serotype that continues to cause substantial disease despite inclusion in the 13-valent pneumococcal conjugate vaccine (PCV-13). Unlike other vaccine-type serotypes, SPN3 has shown limited decline in invasive pneumococcal disease rates following vaccination programs . This persistence is believed to result from specific characteristics of the SPN3 capsule that may overwhelm the protective capacity of vaccine-induced antibodies .

Antibodies against SPN3 are crucial research tools because:

  • They enable detection and quantification of SPN3 in experimental and clinical samples

  • They help researchers understand immune responses to this persistent pathogen

  • They facilitate investigation of SPN3's unique mechanisms of immune evasion

  • They are essential for studying potential new vaccine candidates targeting SPN3

How do researchers distinguish between different SPN3 clades in antibody development?

Current research has identified distinct SPN3 clades (primarily clade I and clade II) with differences in global distribution and potentially in immune evasion capabilities. When developing antibodies against SPN3, researchers must:

  • Characterize the target strain's clade through whole genome sequencing

  • Select strain isolates that represent the circulating clade of interest (e.g., PFESP306 for clade Ia, PFESP505 for clade II)

  • Validate antibody specificity against multiple clades to ensure broad reactivity

  • Test antibody efficacy against clinical isolates representative of regional clade distribution

Research shows that following the introduction of PCV13, there has been a shift in predominant circulating SPN3 clade from I to II in some populations, which may influence antibody effectiveness . When developing research antibodies, it's critical to account for these evolutionary dynamics.

What characterizes a high-quality SPN3 antibody for research applications?

A high-quality SPN3 antibody should demonstrate:

  • Specificity: No cross-reactivity with other pneumococcal serotypes or respiratory pathogens such as Legionella pneumophila

  • Sensitivity: Ability to detect SPN3 at clinically relevant concentrations

  • Reproducibility: Consistent performance across different experimental conditions

  • Defined epitope binding: Clear characterization of the antibody's binding site

  • Validated function: Demonstrated activity in relevant assays (e.g., ELISA, flow cytometry, immunohistochemistry)

For example, Mouse anti-Streptococcus pneumoniae antibody (clone SN3) has been validated for SPN3 detection with demonstrated specificity against S. pneumoniae without cross-reactivity to Legionella pneumophila . When selecting antibodies for research, prioritize those with comprehensive validation documentation.

What are the gold standard methods for validating SPN3 antibodies?

Validation of SPN3 antibodies should follow established antibody validation principles with particular attention to:

  • Knockout/knockdown validation: Testing antibody specificity against samples where SPN3 is genetically absent or reduced

  • Multiple antibody validation: Using multiple antibodies targeting different epitopes of SPN3 to confirm consistent recognition patterns

  • Immunoprecipitation with mass spectrometry (IP-MS): Direct confirmation of antibody specificity by identifying pulled-down proteins via mass spectrometry

  • Orthogonal validation: Comparing antibody-based detection with non-antibody methods like PCR to confirm target presence

  • Recombinant protein validation: Using purified SPN3 components as positive controls in Western blot analysis

Validation MethodApplication for SPN3 AntibodiesAdvantagesLimitations
Knockout/knockdownTesting against SPN3-negative samplesDefinitive specificity testRequires genetic manipulation or reference strains
Multiple antibodyComparing recognition patterns of different anti-SPN3 antibodiesIncreases confidence in specificityRequires multiple well-characterized antibodies
IP-MSConfirming pulled-down proteins are SPN3-specificDirect molecular identificationTechnical complexity and cost
OrthogonalComparing antibody detection with PCRConfirmation by independent methodRequires optimization of multiple techniques
Recombinant proteinUsing purified SPN3 componentsClear positive controlsMay not fully represent native epitopes

Research indicates that combining at least two validation methods significantly increases confidence in antibody specificity and performance reliability .

How should researchers optimize ELISA protocols for SPN3 antibody detection?

Optimizing ELISA protocols for SPN3 antibody detection requires careful consideration of several parameters:

  • Antigen coating optimization:

    • Purified SPN3 polysaccharide concentration typically between 1-10 μg/mL

    • Buffer selection (carbonate buffer pH 9.6 often preferred)

    • Coating time and temperature (overnight at 4°C recommended)

  • Blocking optimization:

    • Test multiple blocking agents (BSA, milk, serum)

    • Optimal concentration typically 1-5%

    • Blocking time typically 1-2 hours at room temperature

  • Sample preparation:

    • Serum dilution series (typically starting at 1:100)

    • Include reference standards with known anti-SPN3 antibody concentrations

    • Process nasal wash samples appropriately for mucosal antibody detection

  • Detection system optimization:

    • Secondary antibody selection based on research needs

    • Signal development time standardization

    • Inclusion of appropriate reference ranges

For interpretation of results, established reference ranges can guide assessment of immune responses. For example, in total pneumococcal antibody testing, results <9.7 mcg/mL may indicate poor vaccine response, while >270 mcg/mL suggest strong response . For intermediate values, serotype-specific testing may be more informative.

What controls are essential when working with SPN3 antibodies in research?

Robust experimental design with SPN3 antibodies requires comprehensive controls:

  • Positive controls:

    • Known SPN3-positive samples or strains

    • Recombinant SPN3 antigens

    • Reference antibodies with established reactivity

  • Negative controls:

    • SPN3-negative bacterial strains

    • Samples from uncolonized subjects

    • Isotype-matched irrelevant antibodies

    • Secondary antibody-only controls

  • Specificity controls:

    • Cross-reactivity testing with other pneumococcal serotypes

    • Testing against common respiratory pathogens

    • Pre-absorption controls to confirm specific binding

  • Validation controls:

    • Orthogonal detection methods (culture, PCR)

    • Dilution series to confirm linear response

    • Reproducibility controls across multiple experiments

In experimental human pneumococcal challenge (EHPC) studies, researchers typically include comprehensive controls to ensure accurate detection of SPN3 colonization, including culture-based methods paired with molecular detection techniques .

How are SPN3 antibodies utilized in human challenge models?

SPN3 antibodies play crucial roles in experimental human pneumococcal challenge (EHPC) models, which provide unique insights into pneumococcal colonization and immunity:

  • Detection of experimental colonization:

    • SPN3 antibodies are used to identify and quantify SPN3 in nasal wash samples following controlled human challenge

    • Both classical culture methods and immunological detection methods employ antibodies for serotype identification

  • Assessment of mucosal immune responses:

    • Anti-SPN3 polysaccharide-specific antibody levels (IgG) are measured in serum and nasal wash samples using ELISAs

    • These measurements help characterize the dynamics of immune response to SPN3 exposure

  • Correlation with protection:

    • Researchers analyze the relationship between pre-existing anti-SPN3 antibodies and subsequent colonization outcomes

    • This helps establish protective antibody thresholds for vaccine development

  • Evaluation of novel vaccines:

    • Challenge models with SPN3 allow assessment of how vaccine-induced antibodies perform against controlled exposure

    • This provides valuable efficacy data with smaller sample sizes than would be required for field trials

Recent challenge studies with SPN3 have employed well-characterized, antibiotic-sensitive SPN3 isolates at doses ranging from 10,000 to 160,000 CFU/naris, achieving colonization rates of 30-70% with an acceptable safety profile . These models provide a cost-effective platform for evaluating vaccine candidates and understanding acquired immunity.

How do researchers address challenges in measuring SPN3-specific antibody responses?

Measuring SPN3-specific antibody responses presents several unique challenges:

  • Limited immunogenicity of SPN3:

    • Some studies show lack of increased nasal SPN3 anticapsular antibodies in colonized participants at day-14 post-inoculation

    • This suggests potential immunoevasion mechanisms specific to SPN3 that differ from other pneumococcal serotypes

  • Methodological approaches to overcome detection challenges:

    • Multiplex assays that simultaneously measure antibodies against multiple pneumococcal serotypes including SPN3

    • Extended sampling timepoints beyond the standard 14 days to capture delayed immune responses

    • Combined assessment of mucosal and systemic antibody responses

  • Advanced analytical strategies:

    • Functional antibody assays that measure opsonophagocytic activity rather than just binding antibodies

    • Subclass analysis to determine the distribution of IgG1, IgG2, IgG3, and IgG4 responses

    • Avidity measurements to assess antibody maturation and quality

For example, recent SPN3 challenge studies have expanded follow-up beyond 14 days to evaluate longer-term local immune responses, providing more comprehensive data on colonization rates, density, and duration .

What methodologies can help distinguish protective from non-protective SPN3 antibodies?

The distinction between protective and non-protective SPN3 antibodies is critical for vaccine development and requires sophisticated analytical approaches:

  • Functional assays:

    • Opsonophagocytic assays (OPA) measure antibody-mediated killing rather than mere binding

    • Bacterial agglutination assays assess the ability of antibodies to cause bacterial clumping

    • Complement deposition assays quantify antibody-mediated complement activation

  • Epitope mapping:

    • Identification of which epitopes correlate with protection

    • Analysis of antibody binding to different regions of the SPN3 capsular polysaccharide

    • Competitive binding assays to characterize epitope specificity

  • Integrative approaches:

    • Correlation of antibody characteristics with clinical outcomes in challenge studies

    • Systems serology to comprehensively characterize antibody features

    • Machine learning algorithms to identify antibody signatures associated with protection

Research has shown that not all anti-SPN3 antibodies are equally protective, with some vaccine-induced antibodies failing to prevent SPN3 invasive disease despite binding to the capsule . This suggests that qualitative aspects of the antibody response, beyond simple quantitative measurements, are crucial for protection.

How can researchers evaluate potential autoimmunity risks when developing SPN3 antibodies?

When developing SPN3 antibodies, researchers must carefully evaluate potential cross-reactivity with human tissues to prevent autoimmune complications:

  • Comprehensive cross-reactivity testing:

    • Screening against human tissue arrays to identify potential cross-reactivity

    • Testing against human cell lines to assess binding to cellular components

    • Evaluation in multiple species to identify conserved epitopes that might indicate risk

  • Epitope analysis:

    • Computational analysis of SPN3 epitopes for similarity to human proteins

    • Identification of molecular mimicry between SPN3 and human antigens

    • Structural analysis of antibody binding sites

  • Functional assessment of autoimmune potential:

    • Testing for complement activation on human tissues

    • Assessment of functional effects on human cells

    • Evaluation of cytokine induction and inflammatory potential

For antibodies intended for therapeutic development, additional preclinical safety studies may be necessary. Studies of anti-microbial antibodies have revealed cases where antibodies enhanced disease or triggered autoimmune responses, highlighting the importance of rigorous safety evaluation .

What are the best methods for analyzing antibody-dependent enhancement with SPN3 antibodies?

Antibody-dependent enhancement (ADE) is a phenomenon where antibodies can paradoxically enhance infection or pathogenesis and must be carefully evaluated with SPN3 antibodies:

  • In vitro assessment of enhancement:

    • Cell adhesion/invasion assays to determine if antibodies enhance SPN3 binding to epithelial cells

    • Macrophage infection assays to assess if antibodies promote intracellular survival

    • Complement studies to evaluate if antibodies trigger non-protective complement pathways

  • Documentation of enhancement mechanisms:

    • Enhancement of IgA1 protease-secreting S. pneumoniae binding to pharyngeal epithelial cells has been reported

    • Similar to other bacteria where IgG3 directed against capsular antigens enhanced adherence/invasion of macrophages and epithelial cells

  • Experimental controls to detect enhancement:

    • Comparison of bacterial loads with and without antibody presence

    • Dose-response studies to identify concentration-dependent effects

    • Assessment across multiple cell types relevant to pneumococcal pathogenesis

  • Translation to in vivo models:

    • Animal models to confirm absence of enhancement in vivo

    • Careful monitoring in human challenge studies for signs of enhanced disease

    • Comparison of colonization density in subjects with different antibody profiles

Research indicates that enhancement is an important aspect to assess for any antibody targeting infectious diseases, particularly when the functions of the epitope are not clearly understood, and the absence of enhancement should be confirmed in clinical studies .

How can advanced imaging techniques enhance SPN3 antibody research?

Advanced imaging techniques provide powerful tools for investigating SPN3 antibody interactions and effects:

  • Super-resolution microscopy:

    • Visualizing antibody binding to SPN3 capsule with nanometer precision

    • Mapping the spatial distribution of antibodies on bacterial surfaces

    • Tracking temporal dynamics of antibody-mediated effects

  • Intravital microscopy:

    • Observing antibody-SPN3 interactions in living tissues

    • Tracking neutrophil and macrophage interactions with antibody-labeled bacteria

    • Monitoring bacterial clearance in real-time

  • Correlative light and electron microscopy (CLEM):

    • Combining fluorescence visualization of antibodies with ultrastructural analysis

    • Revealing fine structural changes in the pneumococcal capsule following antibody binding

    • Identifying sites of complement deposition and membrane damage

  • Novel tracer development:

    • Using antibodies conjugated to biorthogonal click chemistry handles for subsequent labeling

    • Developing multicolor probes to track different pneumococcal components simultaneously

    • Creating activatable probes that signal upon antibody-antigen binding

These techniques can help researchers better understand the fundamental mechanisms of antibody-mediated protection against SPN3, including how antibodies may interfere with bacterial adhesion, trigger immune recognition, or directly impact bacterial viability.

How can researchers address cross-reactivity issues with SPN3 antibodies?

Cross-reactivity is a common challenge with SPN3 antibodies that can compromise experimental results:

  • Identification of cross-reactivity sources:

    • Systematic testing against related pneumococcal serotypes

    • Screening against common respiratory pathogens

    • Testing against host tissue components

  • Methodological approaches to minimize cross-reactivity:

    • Pre-absorption of antibodies with cross-reactive antigens

    • Use of competitive binding assays to confirm specificity

    • Implementation of more stringent washing conditions in immunoassays

  • Alternative antibody development strategies:

    • Epitope-focused selection to target unique regions of SPN3

    • Affinity maturation to increase specificity for the intended target

    • Development of antibody panels with complementary specificity profiles

High-quality commercial antibodies like Mouse anti-Streptococcus pneumoniae monoclonal IgG3 (clone SN3) have been specifically validated to ensure they do not cross-react with Legionella pneumophila and other potential confounding organisms .

What strategies can improve detection of low-abundance SPN3 in research samples?

Detection of low-abundance SPN3 in clinical or research samples requires optimized approaches:

  • Sample enrichment techniques:

    • Immunomagnetic separation using anti-SPN3 antibodies

    • Selective culture conditions to promote SPN3 growth

    • Concentration methods for nasal wash or other clinical samples

  • Signal amplification strategies:

    • Enzyme-based signal amplification systems in ELISAs

    • Tyramide signal amplification for immunohistochemistry

    • Proximity ligation assays for enhanced sensitivity

  • Molecular detection optimization:

    • Combining antibody capture with PCR amplification

    • Digital PCR for absolute quantification of low-abundance targets

    • Next-generation sequencing approaches for comprehensive detection

  • Multi-method verification:

    • Correlation of culture-based results with antibody-based detection

    • Comparison with qPCR to confirm low-abundance findings

    • Statistical approaches to distinguish true positives from background

In SPN3 challenge studies, researchers employ both classical microbiological culture and molecular methods (qPCR) to maximize detection sensitivity across samples with varying bacterial densities .

How can researchers optimize storage and handling of SPN3 antibodies to maintain activity?

Proper storage and handling are essential for maintaining SPN3 antibody activity:

  • Optimal storage conditions:

    • Temperature requirements (typically -20°C for long-term storage)

    • Appropriate buffer composition and pH

    • Addition of stabilizers or preservatives when necessary

  • Handling best practices:

    • Minimizing freeze-thaw cycles (aliquot upon receipt)

    • Proper thawing procedures (gradual thawing at 4°C)

    • Working dilution preparation and storage

  • Quality control procedures:

    • Regular activity testing against reference standards

    • Monitoring for signs of degradation or contamination

    • Documentation of antibody performance over time

  • Reconstitution guidelines:

    • Following manufacturer-recommended diluents

    • Proper mixing techniques (gentle inversion vs. vortexing)

    • Equilibration time before use

For commercial antibodies, manufacturer guidelines should be followed precisely. For lab-generated antibodies, implementation of standardized handling protocols with regular quality control checks helps ensure consistent performance across experiments.

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