y11B Antibody

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Description

Nature and Target of H11B11 Antibody

H11B11 is a monoclonal antibody (mAb) engineered to target the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein. It exhibits cross-neutralizing activity against multiple coronaviruses, including SARS-CoV-2 variants (e.g., BA.2, BA.5, XBB.1.5) and SARS-CoV .

PropertyDescription
Target AntigenSARS-CoV-2 spike protein RBD
IsotypeIgG
Neutralization ScopeBroad-spectrum activity against ACE2-utilizing coronaviruses
Key ApplicationsBispecific antibody (bsAb) development, viral neutralization assays

Development and Engineering

H11B11 has been utilized in bispecific antibody (bsAb) platforms, such as the "Knob-into-Hole" CrossMab and IgG-scFv methods . These bsAbs pair H11B11 with other antibodies (e.g., Brii-196, m336) to enhance avidity and broaden neutralization profiles.

Example Bispecific Constructs:

BsAb ConfigurationNeutralized VirusesIC₅₀ Range (μg/mL)
H11B11_Brii-196SARS-CoV-2 WT, BA.50.054–3.625
H11B11_m336SARS-CoV-2 variants, SARS-CoV, MERS-CoV0.051–0.286
m336_H11B11MERS-CoV (enhanced activity)0.051

Key Findings:

  • H11B11 in the "Knob" arm of bsAbs improves neutralization of ACE2-dependent viruses .

  • Synergy with Brii-196 (anti-spike trimer antibody) enhances potency against resistant variants like BA.5 .

Mechanism of Action

H11B11 operates through two primary mechanisms:

  1. Direct Neutralization: Blocks viral entry by binding to the SARS-CoV-2 RBD, preventing ACE2 receptor interaction.

  2. Fc-Mediated Effector Functions: Enhances antibody-dependent cellular cytotoxicity (ADCC) and phagocytosis (ADCP) .

Functional Comparison:

ParameterH11B11 ParentalH11B11 in BsAb
Neutralization BreadthModerateExpanded (multi-variant)
AviditySingle-epitopeDual-epitope (enhanced)
Cross-ReactivitySARS-CoV-2, SARS-CoVMERS-CoV (bsAb only)

In Vitro Neutralization Studies

H11B11-based bsAbs demonstrated superior neutralization compared to single-arm or parental antibodies:

  • SARS-CoV-2 BA.5: H11B11_Brii-196 retained activity (IC₅₀: 0.286 μg/mL) despite Brii-196’s loss of efficacy .

  • MERS-CoV: H11B11_m336 achieved IC₅₀ of 0.051 μg/mL, comparable to parental m336 .

In Vivo Implications

  • Enhanced survival in animal models due to synergistic neutralization and effector functions .

  • Potential for pan-coronavirus therapeutic development.

References

  1. Bispecific antibodies provide broad neutralization of emerging beta-coronaviruses (PMC11421165) .

  2. BNT162b2 induces robust cross-variant SARS-CoV-2 immunity in children (PMC9719544) .

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
y11B antibody; uvsW.2 antibody; uvsY.-1 antibody; Uncharacterized 9.0 kDa protein in uvsW-uvsY intergenic region antibody
Target Names
y11B
Uniprot No.

Q&A

What are the key specifications of commercially available y11B antibodies?

The y11B antibody available for research is a polyclonal antibody raised in rabbits using recombinant Enterobacteria phage T4 y11B protein as the immunogen . It is supplied in liquid form containing preservatives (0.03% Proclin 300) and stabilizers (50% Glycerol, 0.01M PBS, pH 7.4) . The antibody undergoes antigen affinity purification to ensure specificity and is recommended for ELISA and Western blot applications . Research-grade y11B antibodies are designated for research use only and not intended for diagnostic or therapeutic applications.

What is the difference between polyclonal and monoclonal antibodies in the context of phage protein research?

In phage protein research, the distinction between polyclonal and monoclonal antibodies has significant methodological implications:

CharacteristicPolyclonal (like y11B Antibody)Monoclonal Antibodies
SourceMultiple B cell clonesSingle B cell clone
Epitope recognitionMultiple epitopes on antigenSingle epitope
Production methodAnimal immunizationHybridoma technology
Batch consistencyModerate variabilityHigh consistency
SensitivityGenerally higherGenerally lower
Robustness to target changesMore resistant to antigen changesMore susceptible to epitope alterations
Cost and production timeLower cost, faster production (except for y11B's 14-16 week lead time) Higher cost, longer initial development

For y11B research specifically, the available polyclonal antibody offers recognition of multiple epitopes on the protein, potentially providing more robust detection across different experimental conditions.

What are the validated applications for y11B antibody in bacteriophage research?

The y11B antibody has been validated for enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) applications focused on identifying and quantifying the target antigen . These techniques allow researchers to:

  • Detect the presence of y11B protein in phage lysates

  • Quantify expression levels during different stages of phage infection

  • Investigate protein-protein interactions involving y11B

  • Track y11B localization during phage assembly

  • Verify successful protein purification processes

Unlike some antibodies with broader application profiles, the current data doesn't validate y11B antibody for immunohistochemistry, immunoprecipitation, or flow cytometry applications without further optimization and validation by individual researchers.

What are the optimal storage and handling conditions for maintaining y11B antibody activity?

Preserving antibody functionality requires adherence to specific storage and handling protocols:

  • Upon receipt, store at -20°C or -80°C

  • Avoid repeated freeze-thaw cycles that can denature the antibody

  • For working aliquots, store small volumes at 4°C for up to one month

  • Always centrifuge briefly before opening the vial to collect contents at the bottom

  • Handle using low protein-binding tubes and pipette tips

  • Avoid contamination by using sterile technique when accessing antibody solutions

  • Monitor solution clarity; cloudiness may indicate antibody denaturation

Following these guidelines helps ensure experimental reproducibility and extends the functional lifespan of the antibody.

How does the species reactivity profile of y11B antibody impact experimental design?

The y11B antibody is specifically designed to react with Enterobacteria phage T4 (Bacteriophage T4) targets . This narrow species reactivity profile has several implications for experimental design:

  • The antibody is ideal for focused studies on T4 phage proteins without cross-reaction concerns

  • Researchers should include proper positive controls (T4 phage lysates) in each experiment

  • Negative controls should include related phages to confirm specificity

  • For comparative studies across phage types, researchers need separate antibodies specific to each phage species

  • When studying phage-host interactions, additional host-specific antibodies must be employed

Understanding these reactivity boundaries helps researchers design appropriate controls and interpret results accurately.

What optimization strategies improve Western blot detection using y11B antibody?

Optimizing Western blot protocols for y11B antibody requires systematic evaluation of multiple parameters:

  • Sample preparation considerations:

    • Complete denaturation may expose epitopes better for polyclonal recognition

    • Use fresh protease inhibitors to prevent target degradation

    • Optimize loading concentration (typically 20-50μg total protein)

  • Transfer optimization:

    • Test both PVDF and nitrocellulose membranes for optimal binding

    • Evaluate wet versus semi-dry transfer efficiency for phage proteins

    • Consider extended transfer times for larger proteins

  • Blocking and antibody incubation:

    • Test different blocking agents (5% BSA often produces lower background than milk for phosphoprotein detection)

    • Determine optimal primary antibody dilution through titration experiments

    • Evaluate overnight 4°C versus room temperature incubation

    • Test extended washing protocols to reduce background

  • Detection system selection:

    • Compare chemiluminescence versus fluorescence-based detection

    • Consider signal amplification systems for low-abundance targets

Systematic testing of these variables while maintaining appropriate controls allows researchers to develop a robust, reproducible protocol specific to y11B antibody applications.

How can researchers validate the specificity of y11B antibody in their experimental systems?

Rigorous validation of antibody specificity requires multiple complementary approaches:

  • Positive and negative control samples:

    • Use purified recombinant y11B protein as positive control

    • Include non-T4 phage lysates as negative controls

    • Test host bacterial lysates to confirm lack of cross-reactivity

  • Peptide competition assays:

    • Pre-incubate antibody with excess purified y11B peptide

    • Compare signal between blocked and unblocked antibody conditions

    • Specific binding should show significant signal reduction

  • Knockout/knockdown validation:

    • If genetically modified T4 phages lacking y11B are available, use as controls

    • Signal should be absent in knockout samples

  • Molecular weight verification:

    • Compare observed band size with theoretical molecular weight

    • Investigate any unexpected bands with mass spectrometry

  • Secondary antibody-only controls:

    • Omit primary antibody to assess secondary antibody specificity

    • Helps distinguish non-specific binding from true signal

These validation steps provide confidence in experimental results and should be reported in publications to demonstrate antibody reliability.

What are the considerations for using y11B antibody in multiplex immunoassays with other phage protein antibodies?

Multiplexing antibodies requires careful consideration of several technical factors:

  • Antibody compatibility:

    • Ensure primary antibodies are raised in different host species to avoid secondary antibody cross-reactivity

    • If using multiple rabbit polyclonals (like y11B antibody), consider directly conjugated primaries

  • Epitope accessibility:

    • Test for epitope masking when detecting multiple proteins in close proximity

    • Sequential detection may be required if steric hindrance occurs

  • Signal separation strategies:

    • For fluorescent detection, select fluorophores with minimal spectral overlap

    • For chromogenic detection, use distinct substrates with good color separation

    • Consider spatial separation techniques like strip-based immunoassays

  • Validation requirements:

    • Test each antibody individually before combination

    • Compare multiplex results with single-plex controls to identify interference

    • Include appropriate blocking steps to minimize cross-reactivity

  • Data analysis considerations:

    • Account for potential signal bleed-through in analysis

    • Use appropriate software for accurate signal deconvolution

    • Consider normalization strategies when comparing multiple targets

Careful optimization and validation of multiplex protocols ensure reliable simultaneous detection of y11B and other targets of interest.

What controls should be included when using y11B antibody in bacteriophage research?

A comprehensive control strategy includes:

Control TypePurposeImplementation
Positive controlVerify antibody functionalityPurified recombinant y11B protein or known positive T4 phage lysate
Negative controlConfirm specificityNon-T4 phage lysates or host bacterial extracts
Loading controlNormalize between samplesAntibody against conserved phage structural protein
Secondary antibody controlDetect non-specific bindingOmit primary antibody, retain secondary
Isotype controlAssess background from primaryIrrelevant rabbit IgG at equivalent concentration
Blocking peptide controlVerify epitope specificityPre-incubate antibody with y11B peptide
Processing controlMonitor assay variabilityIdentical sample processed in each experiment

How can researchers troubleshoot weak or absent signal when using y11B antibody?

When encountering signal problems, a systematic troubleshooting approach helps identify the cause:

  • Antibody functionality issues:

    • Verify antibody activity with a positive control

    • Check antibody storage conditions and freeze-thaw history

    • Test a new antibody batch if available

  • Sample preparation factors:

    • Ensure complete protein extraction and denaturation

    • Add protease inhibitors to prevent target degradation

    • Check protein quantification accuracy

  • Protocol optimization:

    • Increase antibody concentration or incubation time

    • Optimize blocking conditions to reduce background

    • Extend wash steps to remove non-specific binding

    • Try different detection systems with higher sensitivity

  • Target abundance considerations:

    • Confirm expression timing in infection cycle

    • Increase sample loading amount

    • Consider concentration steps like immunoprecipitation

    • Use signal amplification systems for low-abundance targets

  • Technical parameters:

    • Check buffer composition and pH

    • Verify transfer efficiency with reversible staining

    • Test different membrane types for optimal binding

Methodical evaluation of these factors typically identifies the source of signal problems and guides appropriate modifications.

What techniques can be combined with y11B antibody detection to gain deeper insights into phage biology?

Integrating multiple techniques provides comprehensive understanding:

  • Localization studies:

    • Combine with electron microscopy for ultrastructural localization

    • Use fractionation followed by immunoblotting to determine subcellular distribution

  • Interaction analyses:

    • Couple with co-immunoprecipitation to identify binding partners

    • Combine with proximity ligation assays for in situ interaction detection

    • Use yeast two-hybrid screening to identify potential interactors

  • Functional studies:

    • Integrate with phage mutagenesis to correlate structure and function

    • Combine antibody neutralization with infection assays

    • Use in conjunction with CRISPR/Cas editing of host factors

  • Temporal analyses:

    • Pair with time-course sampling to track expression dynamics

    • Combine with pulse-chase experiments to determine protein turnover

    • Integrate with real-time PCR to correlate transcription and translation

  • Structural biology integration:

    • Use antibody epitope mapping to inform structural studies

    • Combine with mass spectrometry for post-translational modification identification

    • Integrate with cryo-EM studies for structural context

These complementary approaches transform descriptive antibody-based detection into mechanistic understanding of phage biology.

How does y11B antibody performance compare to modern recombinant antibody technologies?

The field of antibody technology has evolved significantly, offering several alternatives to traditional polyclonal antibodies:

TechnologyAdvantages Over Traditional PolyclonalsLimitations Compared to y11B Antibody
Recombinant monoclonalsHigher reproducibility between lots
Defined sequence
Renewable source
Higher development cost
Single epitope recognition
Potentially lower sensitivity
Single-chain variable fragments (scFv)Smaller size for tissue penetration
Easier genetic manipulation
Less immunogenic
Often lower affinity
Shorter half-life
May require new validation
NanobodiesExceptional stability
Access to hidden epitopes
Smaller size
Limited commercial availability
Higher development costs
Different optimization requirements
Bispecific antibodiesTarget two epitopes simultaneously
Enhanced functional capabilities
Substantially higher complexity
More challenging production
Limited phage-specific options

While newer technologies offer certain advantages, traditional polyclonal antibodies like the y11B antibody remain valuable research tools due to their multi-epitope recognition, cost-effectiveness, and established validation protocols.

What methodological approaches allow quantitative analysis of y11B protein using the antibody?

Quantitative applications require specialized methodologies:

  • Quantitative Western blotting:

    • Use purified recombinant y11B protein to create standard curves

    • Employ fluorescent secondary antibodies for wider linear detection range

    • Apply digital image analysis with appropriate software

    • Include technical replicates and normalization controls

  • ELISA-based quantification:

    • Develop sandwich ELISA using y11B antibody as capture or detection antibody

    • Generate standard curves with known concentrations of recombinant protein

    • Determine assay sensitivity, dynamic range, and coefficient of variation

    • Implement plate layout strategies to minimize edge effects

  • Bead-based multiplexed assays:

    • Conjugate y11B antibody to distinguishable beads

    • Develop protocols for simultaneous detection of multiple phage proteins

    • Analyze using flow cytometry or dedicated bead readers

    • Compare with single-plex assays for validation

  • Mass spectrometry integration:

    • Use antibody for immunoprecipitation prior to MS analysis

    • Apply targeted proteomics approaches like selected reaction monitoring (SRM)

    • Incorporate isotopically labeled standards for absolute quantification

    • Compare antibody-based quantification with MS results

These approaches transform qualitative detection into rigorous quantitative analysis suitable for publication in high-impact journals.

How can researchers integrate computational approaches with y11B antibody experimental data?

Computational methods enhance antibody-generated data value:

  • Epitope prediction and analysis:

    • Use algorithms to predict likely epitopes on y11B protein

    • Compare experimental results with predicted antibody binding sites

    • Model structural implications of antibody binding

  • Network biology integration:

    • Incorporate antibody-identified interactions into protein-protein interaction networks

    • Use graph theory to identify key nodes and potential functions

    • Predict functional significance through network topology analysis

  • Machine learning applications:

    • Train algorithms on image data from antibody-based visualization

    • Develop automated quantification of staining patterns

    • Use pattern recognition to classify experimental outcomes

  • Molecular dynamics simulations:

    • Model antibody-antigen binding at atomic resolution

    • Predict effects of mutations on binding affinity

    • Simulate conformational changes upon antibody binding

  • Database integration:

    • Contribute antibody validation data to community resources

    • Cross-reference findings with phage biology databases

    • Apply ontology frameworks for standardized annotation

These computational approaches transform discrete experimental observations into systems-level understanding and predictive models.

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