ba2 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
ba2 antibody; si:dz118j2.3; antibody; ba2l antibody; si:dz118j2.1 antibody; zgc:92900 antibody; Hemoglobin subunit beta-2 antibody; Beta-2-globin antibody; Beta-A2-globin antibody; Hemoglobin beta-2 chain antibody
Target Names
ba2
Uniprot No.

Target Background

Function
Plays a crucial role in the transport of oxygen from the gills to the peripheral tissues.
Database Links

KEGG: dre:30217

UniGene: Dr.23445

Protein Families
Globin family
Tissue Specificity
Red blood cells.

Q&A

What is the BA.2 Omicron subvariant and how does it differ structurally from other variants?

BA.2 is one of four major sub-lineages of the SARS-CoV-2 Omicron variant family (BA.1, BA.1.1, BA.2, and BA.3), which emerged as a distinct evolutionary branch in late 2021. BA.2 became globally dominant, partly due to its enhanced transmissibility compared to BA.1, with reports suggesting it is 30-50% more contagious than its BA.1 predecessor . The variant demonstrates distinctive genetic architecture, particularly in the spike protein mutations that define its immunological profile.

The BA.2 subvariant exhibits notable structural differences in key antigenic domains. In the N-terminal domain (NTD), BA.2 presents a structure more similar to the original Wuhan virus compared to BA.1, carrying only four substitutions (T19I, A27S, G142D, and V213G) and three deleted residues (Δ24–26) . This contrasts with BA.1's more extensively remodeled NTD that features three substitutions, five deletions, and three insertions . The receptor-binding domain (RBD) of BA.2 contains 16 mutations, with 8 positioned within the receptor-binding motif (RBM) . These RBM mutations significantly affect neutralizing antibody binding and are all shared with BA.1, explaining some similarities in antibody evasion properties .

What standard methodologies are employed to assess antibody responses against BA.2?

Research laboratories typically employ several methodological approaches to characterize antibody responses against BA.2, with the cytopathic effect-based microneutralization assay (CPE-MN) being a key technique. This assay evaluates neutralization by measuring antibodies' ability to prevent virus-induced cellular damage . In the standardized protocol, neutralizing antibodies are incubated with a calibrated viral solution (100 TCID₅₀) of authentic SARS-CoV-2 BA.2 virus, followed by addition to Vero E6 cell monolayers . After 3-4 days incubation, cytopathic effects are microscopically evaluated by multiple operators to determine neutralization potency .

Pseudovirus neutralization assays offer a complementary approach, enabling assessment of neutralizing antibodies under lower biosafety level requirements. These systems utilize engineered viral particles expressing the BA.2 spike protein while carrying reporter genes for quantification . Competitive flow cytometry-based assays further enable mapping of antibody binding to specific epitopes on the BA.2 spike protein, providing insights into mechanisms of neutralization or evasion .

For population-level studies, binding antibody assays measuring anti-spike IgG are employed to quantify vaccine-induced responses, with results expressed in binding antibody units (BAU/mL). These measurements can be correlated with protection against breakthrough infection, though this relationship differs between variants .

How do vaccines perform against BA.2 compared to other variants?

Vaccine-induced antibody responses show significantly reduced neutralization activity against BA.2 compared to ancestral SARS-CoV-2 strains. Current evidence indicates that both BA.1 and BA.2 demonstrate substantial immune evasion capabilities against vaccine-elicited antibodies. Research has confirmed that "consistent with recent studies, BA.1 is highly resistant to the antisera elicited by mRNA-1273 and ChAdOx1 vaccines," and "similar to BA.1, BA.2 was also highly resistant to the vaccine-induced antisera" .

How do monoclonal antibody therapeutics differ in effectiveness against BA.2?

BA.2 demonstrates distinct patterns of resistance to therapeutic monoclonal antibodies compared to both ancestral strains and the BA.1 subvariant. Research indicates that BA.2 is "almost completely resistant to two therapeutic monoclonal antibodies, Casirivimab and Imdevimab, and was 35-fold more resistant to another therapeutic antibody, Sotrovimab, when compared to the ancestral D614G-bearing B.1.1 virus" . This dramatic reduction in neutralization susceptibility significantly impacts clinical treatment options and necessitates development of next-generation therapeutic antibodies.

The neutralization escape mechanisms correlate with the distribution of mutations across different antibody binding classes. Class 1 and Class 2 neutralizing antibodies, which target epitopes from the left shoulder through the neck and upper right shoulder of the spike protein, are particularly affected by the 8 shared RBM mutations in BA.2 . Class 3 antibodies targeting the right flank of RBD where only 2/16 (12%) of BA.2 mutations are found maintain greater neutralization potential . Class 4 antibodies directed toward the left flank of RBD encounter 6/16 (37%) mutations in BA.2 compared to only 3/15 (20%) in BA.1, potentially explaining some differential neutralization patterns .

What are the correlates of protection against BA.2 infection?

The relationship between antibody levels and protection against BA.2 infection presents a complex picture that differs from patterns observed with earlier variants and even BA.1. While definitive correlates of protection have been established for ancestral and Alpha variants (≈150-170 BAU/mL), BA.2 demonstrates a more complex immune evasion profile .

Research examining healthcare workers found no significant correlation between binding antibody concentrations and BA.2 infection rates. Specifically, 9.2% [95% CI: 5-15.2%] of individuals with binding antibody concentrations below 6000 BAU/mL became infected with BA.2, as did 12.1% [95% CI: 3.4-28.2%] of those with 6000-20,000 BAU/mL, and 6.6% [95% CI: 1.8-15.9%] of those with concentrations exceeding 20,000 BAU/mL (p=0.65) . This contrasts with BA.1, where a clear dose-response relationship was observed between antibody concentrations and infection risk .

This lack of clear correlation could result from several factors:

  • Different temporal relationships between antibody measurement and infection periods

  • Changes in public health measures (mask mandates and physical distancing were abolished in France on March 14, 2022, coinciding with the BA.2 wave)

  • Potentially different immune evasion mechanisms employed by BA.2

  • The role of other immune parameters beyond neutralizing antibodies

What structural differences explain the differential antibody binding between BA.1 and BA.2?

The distinct antibody evasion properties of BA.1 and BA.2 can be mapped to specific structural differences in their respective spike proteins. While both variants share numerous mutations, they also possess unique alterations that define their antigenic profiles. The N-terminal domain (NTD) of BA.1 has undergone more extensive remodeling than BA.2, with BA.1 featuring three substitutions (A67V, T95I, G142D), five deletions (Δ69-70, Δ143-145), and three insertions (ins214EPE) . In contrast, BA.2's NTD more closely resembles the original Wuhan virus with only four substitutions (T19I, A27S, G142D, V213G) and three deletions (Δ24-26) .

In the receptor-binding domain (RBD), BA.1 contains 15 mutations while BA.2 has 16, with the receptor-binding motif (RBM) being particularly mutated in both variants . BA.1's RBM contains 10/15 (67%) mutations while BA.2 carries 8/16 (50%) mutations, all of which are shared with BA.1 . This explains some similarities in antibody evasion, particularly against Class 1 and Class 2 antibodies targeting this region .

What methodological considerations are critical when designing BA.2 neutralization studies?

Researchers investigating BA.2 neutralization should consider several methodological factors to ensure accurate, reproducible, and clinically relevant results:

  • Virus Selection and Validation: Studies should use well-characterized BA.2 isolates with complete genomic sequencing. The search results reference sequences deposited on GISAID with specific ID numbers (EPI_ISL_10654979 for BA.2) . Researchers should verify spike protein sequence integrity through sequencing before and after propagation to detect any culture-adaptive mutations.

  • Assay Selection: Different neutralization assays have varying sensitivity profiles. The cytopathic effect-based microneutralization assay (CPE-MN) using authentic virus requires BSL-3 facilities but provides direct measurement of viral neutralization . Pseudovirus assays offer greater throughput and lower biosafety requirements but may not fully recapitulate authentic virus behavior. Binding assays (ELISA, flow cytometry) measure antibody binding but not necessarily neutralization function.

  • Reference Standards: Inclusion of reference antibodies or sera with established potency against ancestral virus enables calculation of fold-resistance. This practice facilitates standardized reporting of neutralization escape and comparison between studies.

  • Cell Line Selection: Vero E6 cells are commonly used for neutralization assays , but researchers should consider that different cell lines express varying levels of ACE2 and TMPRSS2, potentially affecting neutralization profiles. Human-derived respiratory epithelial cells may provide more physiologically relevant results.

  • Temporal Considerations: The interval between vaccination/infection and serum collection significantly impacts neutralization potency. Additionally, waning immunity affects BA.2 neutralization differently than earlier variants, necessitating longitudinal sampling designs.

  • Population Heterogeneity: Neutralization studies should account for diverse vaccination and infection histories. Prior infection status (naive vs. recovered) significantly impacts neutralization breadth and potency against BA.2 .

What does BA.2 antibody evasion mean for vaccination strategies?

The extensive antibody evasion demonstrated by BA.2 has significant implications for vaccination approaches. The finding that both BA.1 and BA.2 are "highly resistant to the antisera elicited by mRNA-1273 and ChAdOx1 vaccines" suggests that original vaccine formulations provide suboptimal protection against these variants. This reduced effectiveness necessitates reconsidering vaccine composition, dosing schedules, and booster strategies.

Unlike previous variants where specific antibody thresholds correlated with protection, research indicates there is "no clear antibody concentration above which Omicron infection does not occur" . This fundamentally changes how we conceptualize vaccine-induced protection and necessitates a shift toward broader measurements of immunity beyond simply antibody titers.

How can we interpret changes in BA.2 prevalence in the context of population immunity?

BA.2's global emergence as a dominant variant occurred within a complex immunological landscape. The variant demonstrated enhanced transmissibility, reported to be "30% to 50% more contagious than its cousin" BA.1 , and was detected in "47 US states and 74 countries" even in early 2022 .

The World Health Organization observed that "BA.2 is more transmissible than BA.1 so we expect to see BA.2 increasing in detection around the world" . This increased transmissibility contributed to its selective advantage, though other factors likely played important roles.

When interpreting prevalence changes, researchers should consider:

  • The heterogeneous immune landscape consisting of vaccination-only, infection-only, and hybrid immunity individuals

  • Relative neutralization resistance against different antibody classes

  • Changing public health measures coinciding with variant waves

  • Potential reinfection patterns, as it "remained unclear whether BA.2 can reinfect people who previously had Omicron"

What key knowledge gaps remain in understanding BA.2 antibody responses?

Despite significant progress in characterizing BA.2, several critical knowledge gaps warrant further investigation:

  • Reinfection Dynamics: Whether BA.2 can efficiently reinfect individuals recovered from BA.1 remains incompletely understood . Systematic studies comparing reinfection rates between subvariants would provide valuable insights into cross-protection.

  • Cellular Immunity: Most research has focused on humoral immunity against BA.2, with limited investigation of T-cell responses. Given the poor correlation between antibody levels and BA.2 protection , T-cell immunity may play a more crucial role than previously appreciated.

  • Long-term Evolution: Understanding the evolutionary trajectory from BA.1 to BA.2 could help predict future variant characteristics. Research should explore whether convergent evolution or divergent mutation patterns are more likely.

  • Mucosal Immunity: Most studies measure systemic antibody responses, but mucosal immunity at respiratory surfaces may be more relevant for protection against BA.2 infection. Developing standardized assays for mucosal antibody assessment would advance this field.

  • Combined Antibody Functions: Beyond neutralization, antibodies mediate other functions like antibody-dependent cellular cytotoxicity (ADCC) and complement activation. How BA.2 mutations affect these functions remains poorly characterized.

What methodological advances would improve BA.2 antibody research?

Several technological and methodological improvements could enhance research into BA.2 antibody responses:

  • Standardized Neutralization Platforms: Developing universally standardized neutralization assays would facilitate direct comparison between studies and laboratories.

  • High-Throughput Epitope Mapping: Advanced epitope mapping technologies could accelerate identification of BA.2-specific escape mutations and conserved neutralizing epitopes.

  • Systems Serology Approaches: Comprehensive profiling of antibody isotypes, subclasses, glycosylation patterns, and Fc-mediated functions would provide a more complete picture of immunity beyond simple neutralization.

  • In silico Prediction Models: Computational models predicting neutralization escape based on spike sequence could accelerate variant assessment before biological testing.

  • Standardized Correlates of Protection: Developing internationally standardized correlates of protection would streamline vaccine effectiveness assessments across variants.

  • Single-Cell Technologies: Single-cell antibody sequencing from individuals with differential protection against BA.2 could identify protective antibody signatures.

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