BLLF3 Antibody

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Description

Role in EBV Pathogenesis

BLLF3 contributes to EBV's "abortive-lytic" phase and tumor microenvironment (TME) remodeling:

  • Latency establishment: Induces activin A and IL-21 production .

  • TME modulation: Enhances fibroblast proliferation and cytokine secretion (e.g., CCL5, CXCL10) .

  • Oncogenic synergy: Expressed in 67% of classical Hodgkin lymphoma biopsies .

Diagnostic and Prognostic Utility

Recent studies highlight BLLF3 antibody's clinical relevance in nasopharyngeal carcinoma (NPC):

Key Findings ( )

ParameterResult
Diagnostic sensitivity95% specificity when combined with EBNA1-IgA
Prognostic valueElevated BLLF3-IgA correlates with poorer disease-free survival (HR = 2.4, p < 0.01)
Early-stage detectionAUC = 0.87 (vs. 0.91 for advanced NPC)

Comparative Analysis of Available BLLF3 Antibodies

Commercial antibodies exhibit distinct properties:

FeatureAbbexa (ABX412143) Thermo Fisher (PA5-117556)
Host speciesRabbitRabbit
ConjugationUnconjugatedUnconjugated
Tested applicationsELISA, WBWB
Immunogen expressionE. coliNot specified
Buffer compositionPBS + Proclin-300Proprietary stabilizer

Research Applications and Limitations

  • Functional studies: Used to investigate dUTPase's role in EBV replication and immune evasion .

  • Diagnostic development: Potential replacement for VCA-IgA assays due to standardized recombinant production .

  • Limitations: Not validated for immunohistochemistry or in vivo models .

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
We typically dispatch orders for BLLF3 Antibody within 1-3 business days of receipt. Delivery times may vary based on the purchasing method and location. For specific delivery information, please contact your local distributor.
Target Names
BLLF3
Uniprot No.

Q&A

What is the BLLF3 gene and what protein does it encode in the EBV genome?

The BLLF3 gene is an early lytic cycle gene in the Epstein-Barr virus genome that encodes deoxyuridine triphosphate nucleotidohydrolase (dUTPase), an enzyme expressed during lytic or abortive lytic replication of the virus. This protein forms part of the Early Antigen-Diffuse (EA-D) complex and has been estimated at concentrations of 6000-7500 nM in EBV-positive cell lines such as Akata and P3HR1 . The dUTPase enzyme plays a critical role in nucleotide metabolism during viral replication, but importantly, also has moonlighting functions in immune modulation that extend beyond its enzymatic activity.

How are anti-BLLF3 antibodies detected in clinical samples?

Anti-BLLF3 (dUTPase) antibodies can be detected in serum samples using enzyme-linked immunosorbent assays (ELISAs) designed to measure both total antibody levels and neutralizing antibody activity. Quantitative analysis typically involves comparing antibody levels in patient samples to control samples, with results expressed as fold-increases over control levels. Immunohistochemical techniques can also be employed to detect the BLLF3 protein in tissue samples, as demonstrated in studies of oral hairy leukoplakia lesions where the expression pattern was found to be similar to that of BZLF-1 . Additionally, detection of BLLF3 gene expression can be performed using quantitative real-time PCR in tumor samples or microarray technology in peripheral blood mononuclear cells (PBMCs).

How does the BLLF3-encoded dUTPase interact with host immune receptors?

The EBV dUTPase has been demonstrated to modulate innate and adaptive immune responses by engaging Toll-Like Receptor 2 (TLR2). This interaction leads to downstream modulation of genes involved in oncogenesis, chronic inflammation, and effector T-cell function . Through computer-generated algorithms, sequence alignments, and functional studies of BLLF3 mutants, researchers have identified a putative amino acid motif involved in this TLR2 interaction. Specifically, amino acid residues between 81G to 103K of the EBV-dUTPase are critical for binding to and activating TLR2 signaling . This interaction represents a potential molecular target for therapeutic development, as it appears to contribute to the immunomodulatory effects of EBV infection.

How do BLLF3 antibody responses compare with other EBV-targeted antibodies during therapy?

During EBV-specific T cell (EBVST) therapy for patients with EBV-positive tumors, differential antibody responses to various EBV proteins have been observed. While comprehensive data specific to BLLF3 is limited in the provided research, studies evaluating antibody responses to late lytic proteins like BGLF3.5 and BGRF1/BDRF1 have shown changes in antibody levels following treatment . To properly assess treatment efficacy, researchers should evaluate antibody changes between preinfusion and post-infusion timepoints (typically at 3 months post-treatment) and calculate odds ratios for associations between antibody variables and treatment response status. These analyses should be adjusted for factors such as sex, age at enrollment, and diagnosis type .

What are the optimal techniques for validating anti-BLLF3 antibodies?

Given the broader context of antibody validation challenges in research, BLLF3 antibody validation should follow rigorous protocols. The NeuroMab approach provides a useful model, where antibodies are screened using two parallel ELISAs - one against the purified recombinant protein and another against transfected cells expressing the antigen of interest . For BLLF3 specifically, validation should include:

  • ELISA testing against recombinant BLLF3-encoded dUTPase

  • Western blot analysis confirming correct molecular weight recognition

  • Immunohistochemistry/immunofluorescence using EBV-positive and negative cell lines

  • Functional neutralization assays measuring inhibition of dUTPase activity

  • Loss-of-signal tests using BLLF3 knockout or knockdown models

These approaches ensure specificity and functionality before application in critical research contexts.

What controls should be included when using anti-BLLF3 antibodies in experimental protocols?

When using anti-BLLF3 antibodies, researchers should implement the following controls:

  • Positive controls: Include EBV-positive cell lines with known BLLF3 expression (e.g., Akata, P3HR1, or C666-1 cells)

  • Negative controls: Use EBV-negative cell lines or tissues

  • Isotype controls: Include matched isotype antibodies to control for non-specific binding

  • Blocking controls: Pre-incubate antibodies with recombinant BLLF3 protein to confirm specificity

  • Expression controls: In transfection studies, include parallel detection of BLLF3 expression using orthogonal methods

These controls are essential for ensuring the reliability and reproducibility of results, particularly given that approximately 50% of commercial antibodies fail to meet basic characterization standards .

How can BLLF3 antibodies be effectively employed in studying EBV lytic replication?

BLLF3 antibodies can serve as valuable tools for monitoring EBV lytic replication, as the BLLF3-encoded dUTPase is expressed during the early lytic cycle. Effective methodological approaches include:

  • Temporal expression studies: Using anti-BLLF3 antibodies alongside other lytic cycle markers (such as BZLF1) to track progression through the lytic cycle

  • Co-localization experiments: Combining BLLF3 antibodies with subcellular markers to determine the intracellular localization of dUTPase during various stages of replication

  • Flow cytometry: Quantifying the percentage of cells expressing BLLF3 in response to lytic cycle induction

  • Chromatin immunoprecipitation: Using anti-BLLF3 antibodies to study the interaction of dUTPase with host chromatin

  • Enzyme activity assays: Combining antibody detection with functional assays to correlate dUTPase expression with enzymatic activity

These approaches provide complementary data on the expression and function of BLLF3 during lytic replication.

How might anti-BLLF3 antibody detection be integrated into diagnostic algorithms for EBV-associated malignancies?

While conventional EBV serological testing focuses on antibodies to viral capsid antigen (VCA), early antigen (EA), and nuclear antigens (EBNA), the inclusion of anti-BLLF3 antibody testing could provide additional diagnostic value. Based on the observed patterns in DLBCL and CLL patients, measuring anti-BLLF3 dUTPase antibodies might be particularly valuable in:

  • Cases with normal/non-reactive antibody patterns to standard EBV markers

  • Gender-specific diagnostic algorithms (given the observed differences between males and females)

  • Distinguishing between active lytic replication versus latent infection

  • Monitoring response to therapy in EBV-associated malignancies

This approach would require standardization of testing methods and establishment of reference ranges for different patient populations.

What is the potential for targeting the BLLF3-TLR2 interaction for therapeutic development?

The interaction between EBV dUTPase and TLR2 represents a promising target for therapeutic intervention. Potential approaches include:

Therapeutic ApproachMechanismDevelopment Stage
Small molecule inhibitorsBlocking dUTPase-TLR2 bindingPreclinical
Peptide antagonistsCompeting with dUTPase for TLR2 bindingConceptual
Antibody-based therapiesNeutralizing dUTPase activityEarly research
Vaccine developmentInducing neutralizing antibodiesProposed
TLR2 pathway modulatorsAltering downstream signalingResearch

Focusing on the identified 81G-103K amino acid region of dUTPase could lead to highly specific therapeutics that disrupt this immunomodulatory interaction without affecting normal TLR2 function .

How do anti-BLLF3 antibody levels correlate with disease progression in EBV-associated malignancies?

Understanding the correlation between anti-BLLF3 antibody levels and disease progression requires longitudinal studies. Based on available data, several patterns emerge:

Patient GroupAnti-dUTPase Antibody LevelsClinical Correlation
DLBCL females3.67-fold increaseHighest levels among studied groups
DLBCL males2.12-fold increaseLowest levels among studied groups
CLL malesHigh prevalence (44.12%)Normal EBV serological patterns
CLL femalesModerate prevalenceAbnormal EBV reactive patterns (53.12%)

These patterns suggest that monitoring anti-BLLF3 antibody levels might provide prognostic information, particularly when integrated with other clinical and laboratory parameters .

What emerging technologies might enhance our understanding of BLLF3's role in EBV pathogenesis?

Several cutting-edge technologies could advance research on BLLF3:

  • Single-cell technologies: Combining single-cell RNA sequencing with protein analysis to examine BLLF3 expression at the individual cell level during different stages of infection

  • CRISPR-Cas9 editing: Creating precise mutations in the BLLF3 gene to study structure-function relationships

  • Cryo-electron microscopy: Determining the three-dimensional structure of dUTPase-TLR2 complexes at atomic resolution

  • Organoid models: Studying BLLF3 expression and function in physiologically relevant three-dimensional tissue models

  • Systems biology approaches: Integrating transcriptomic, proteomic, and metabolomic data to understand the broader impact of BLLF3 expression

These technologies would provide deeper insights into the complex roles of BLLF3 in EBV infection and associated diseases.

What are the key unresolved questions regarding anti-BLLF3 antibodies?

Despite progress in understanding BLLF3 and anti-BLLF3 antibodies, several important questions remain:

  • Do anti-BLLF3 antibodies directly affect viral replication or are they simply markers of infection?

  • What factors determine the magnitude and functionality of anti-BLLF3 antibody responses in different individuals?

  • How do anti-BLLF3 antibody responses evolve over the course of chronic EBV infection?

  • Are there cross-reactive epitopes between BLLF3 and human proteins that might contribute to autoimmunity?

  • Can anti-BLLF3 antibody patterns predict response to emerging EBV-directed therapies?

Addressing these questions will require collaborative efforts across immunology, virology, and clinical research domains.

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