DEFA3 Antibody

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Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can ship the products within 1-3 business days after receiving your order. The delivery time may vary depending on the purchasing method and location. Please contact your local distributors for specific delivery time information.
Synonyms
DEFA3 antibody; DEF3Neutrophil defensin 3 antibody; Defensin antibody; alpha 3 antibody; HNP-3 antibody; HP-3 antibody; HP3) [Cleaved into: HP 3-56; Neutrophil defensin 2 antibody; HNP-2 antibody; HP-2 antibody; HP2)] antibody
Target Names
DEFA3
Uniprot No.

Target Background

Function
Defensin 2 and defensin 3 exhibit antibiotic, fungicidal, and antiviral properties. They possess antimicrobial activity against Gram-negative and Gram-positive bacteria. Defensins are believed to kill microbes by disrupting their plasma membrane integrity.
Gene References Into Functions
  1. High HNP3 expression is associated with IgA Nephropathy. PMID: 27563166
  2. Elevated DEFA3 levels in diabetes are independent of DEFA3 copy numbers. PMID: 25083086
  3. DEFA3 encodes an antibacterial peptide that exhibits bactericidal activity against *S. aureus*, *E. coli*, and *P. aeruginosa*. PMID: 2997278
  4. alpha-Defensin (DEFA3) was the third most differentially overexpressed gene and may be linked to the onset of Bell's palsy and Ramsay Hunt Syndrome. PMID: 22737966
  5. The total amount of gingival crevicular fluid human neutrophil peptide 3 did not differ significantly among periodontitis, gingivitis, and healthy control groups. No correlation was observed with clinical periodontal parameters. PMID: 20151808
  6. BPI and HNP 1-3 accumulate in the synovial cavity of patients with rheumatoid arthritis. PMID: 12913926
  7. Aerobic bacteria showed 100% susceptibility to HBD-2 and HBD-3, while only 21.4% and 50% of the anaerobes were susceptible to HBD-2 and HBD-3, respectively. PMID: 15004048
  8. HNP-3 is a potentially significant regulator of neovascularization, suggesting a novel connection between inflammation and angiogenesis. PMID: 15208269
  9. We have assessed the absence of DEFA3 in 697 samples from diverse human populations. The proportion of individuals lacking DEFA3 varies from 10% to 37%, depending on the population tested, indicating potential differences in innate immune function among populations. PMID: 17214878
  10. *Clostridium difficile* toxin B interacts with high affinity with HNP-3, which may provide a defense mechanism against clostridial glucosylating cytotoxins. PMID: 18435932
  11. Upregulation of HNP3 is associated with colorectal adenomas and carcinomas. PMID: 18957723
  12. Salivary HNP-3 concentrations increased following exercise. PMID: 19263072
  13. DEFA3 was upregulated in IPF patients experiencing acute exacerbation. PMID: 19363140
  14. Studies suggest that alpha-defensin, produced by neutrophils, is upregulated at the mRNA and protein levels in SLE patients. PMID: 19758174
  15. Plasma levels of alpha-defensins 1-3 serve as an indicator of neutrophil activation in pregnant and postpartum women. PMID: 17845323

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Database Links

HGNC: 2762

OMIM: 604522

KEGG: hsa:1668

STRING: 9606.ENSP00000328359

UniGene: Hs.654448

Protein Families
Alpha-defensin family
Subcellular Location
Secreted.

Q&A

What is DEFA3 and what is its role in immune defense?

DEFA3 (Defensin Alpha 3, also known as HNP-3, neutrophil defensin 3) is a member of the alpha-defensin family of antimicrobial peptides. It functions as an effector molecule of the innate immune system with antibiotic, fungicidal, and antiviral activities. DEFA3 is primarily found in the microbicidal granules of neutrophils and plays a crucial role in phagocyte-mediated host defense .

Mechanistically, defensins like DEFA3 kill microbes by permeabilizing their plasma membrane, creating disruptions that lead to microbial death. This mechanism provides broad-spectrum antimicrobial activity against Gram-negative and Gram-positive bacteria . The protein has a length of 94 amino acid residues and a mass of approximately 10.2 kDa in humans .

How do DEFA1 and DEFA3 relate to each other structurally and functionally?

DEFA1 and DEFA3 are highly similar defensins that are often studied together due to their genomic organization. They are encoded by the DEFA1/DEFA3 locus (also known as DEFA1A3), which is a variable copy number locus on chromosome 8 . These defensins share significant sequence homology and are distinguished by a conserved cysteine motif that is critical for their antimicrobial function .

Functionally, both DEFA1 and DEFA3 are found in the microbicidal granules of neutrophils and contribute to phagocyte-mediated host defense. Their primary structural difference is minimal, which explains why many antibodies detect both proteins simultaneously (designated as anti-DEFA1/DEFA3 or anti-DEFA1+DEFA3 antibodies) . This close relationship necessitates careful consideration when designing experiments to distinguish between these specific defensins.

What are the standard applications for DEFA3 antibodies in research?

DEFA3 antibodies are utilized across multiple research applications, with the most common being:

  • Western Blot (WB): Typically using dilutions of 1:500-1:2000, depending on the specific antibody

  • Immunohistochemistry (IHC): Often at dilutions of 1:25-1:100 for paraffin-embedded tissues

  • Enzyme-Linked Immunosorbent Assay (ELISA): Used at dilutions ranging from 1:1000-1:128,000 depending on the specific antibody and protocol

  • Immunocytochemistry (ICC): For cellular localization studies

  • Immunofluorescence (IF): For visualization in tissue and cellular contexts

  • Immunoprecipitation (IP): For protein isolation and interaction studies

The selection of application should be guided by the validation data provided by manufacturers, as not all antibodies perform equally across all applications. Many DEFA3 antibodies show specific reactivity to human samples, limiting their use in animal models unless specifically validated for cross-reactivity .

How does DEFA1/DEFA3 copy number variation affect sepsis outcomes?

Research has established a significant relationship between DEFA1/DEFA3 gene copy number and sepsis outcomes. A genetic association study found that increased copy number of DEFA1/DEFA3 genes represents a risk factor for organ dysfunction during sepsis development .

This relationship has been experimentally validated using transgenic mouse models with neutrophil-specific expression of human DEFA1/DEFA3. Mice with high copy numbers of DEFA1/DEFA3 genes (HCN) exhibited:

  • More severe sepsis-related vital organ damage

  • Higher mortality rates compared to both low copy number (LCN) mice and wild-type mice

  • More pronounced endothelial barrier dysfunction

  • Increased endothelial cell pyroptosis following sepsis challenge

These findings demonstrate that DEFA1/DEFA3 copy number variation strongly modulates sepsis development in vivo, with higher copy numbers associated with worse outcomes. This relationship provides a foundation for potential precision medicine approaches to sepsis treatment based on individual genetic information .

What mechanisms explain DEFA3's role in endothelial cell pyroptosis during sepsis?

The mechanism by which DEFA3 contributes to endothelial cell pyroptosis during sepsis has been elucidated through detailed molecular studies. Human Neutrophil Peptide-1 (HNP-1), a product of DEFA1/DEFA3, induces endothelial cell pyroptosis via a specific pathway:

  • HNP-1 interacts with the P2X7 receptor on endothelial cells

  • This interaction triggers canonical caspase-1 activation

  • The process occurs in a NLRP3 inflammasome-dependent manner

  • The resulting pyroptosis leads to endothelial cell death and loss of vascular integrity

In transgenic mouse models with high copy numbers of DEFA1/DEFA3, sepsis challenge resulted in marked loss of CD31+ endothelial cells in microvessels from vital organs including lung, kidney, and mesentery. This endothelial cell death corresponded with increased vascular permeability and more severe organ dysfunction .

The identification of this pathway has important therapeutic implications, as blocking the interaction between HNP-1 and P2X7 receptor has shown promise as a targeted intervention for sepsis patients with high DEFA1/DEFA3 copy numbers.

How can researchers develop blocking antibodies against DEFA3 for therapeutic applications?

Development of blocking antibodies against DEFA3 represents an emerging therapeutic strategy, particularly for sepsis treatment. Based on research findings, a methodological approach includes:

  • Structure-based design: Using homologous modeling, molecular docking, and molecular dynamics (MD) simulation to predict the heteromeric complex structure of HNP-1 bound to P2X7 receptors

  • Epitope selection: Identifying the specific interaction domains between HNP-1 and P2X7 receptor to develop antibodies that can effectively block this interaction

  • Antibody engineering: Developing monoclonal antibodies that specifically target the identified epitopes

  • Validation in models: Testing the blocking antibody in transgenic mouse models with high copy numbers of DEFA1/DEFA3 genes

Research has demonstrated that a blocking antibody (identified as B6B4 in one study) that impedes the interaction between HNP-1 and P2X7 can protect mice with high copy numbers of DEFA1/DEFA3 from lethal sepsis. The treatment regimen included three administrations at specific time points, resulting in significantly reduced mortality and preservation of endothelial cells in vital organs .

Importantly, this therapeutic approach shows the potential for precision medicine, as the blocking antibody only showed protective effects in mice with high copy numbers of DEFA1/DEFA3, not in those with low copy numbers or wild-type genotypes .

What are the optimal sample preparation techniques for DEFA3 detection in different tissues?

Optimal sample preparation for DEFA3 detection varies by tissue type and detection method:

For Western Blot (WB):

  • Cell/tissue lysates: Use RIPA buffer for efficient protein extraction

  • Protein loading: 25-35μg protein per lane is optimal for DEFA3 detection

  • Blocking: 3% nonfat dry milk in TBST provides effective blocking of non-specific binding sites

  • Dilution: Antibody dilutions typically range from 1:500-1:2000

For Immunohistochemistry (IHC):

  • Fixation: Standard formalin fixation and paraffin embedding is suitable

  • Antigen retrieval: Heat-induced epitope retrieval may be necessary

  • Antibody dilution: Typically 1:25-1:100 for paraffin sections

  • Incubation: Overnight incubation at 4°C may improve signal-to-noise ratio

For ELISA:

  • Serum samples: Standard collection in serum separator tubes

  • Plasma: EDTA or heparin-treated plasma samples are acceptable

  • Tissue homogenates: Homogenize in PBS with protease inhibitors

  • Cell culture supernatants: Collect and centrifuge to remove cellular debris

For all applications, proper storage of samples (typically at -20°C or -80°C) is critical to preserve protein integrity. Repeated freeze-thaw cycles should be avoided as they can lead to protein degradation .

What controls should be included when using DEFA3 antibodies for immunodetection?

Proper controls are essential for reliable interpretation of results when using DEFA3 antibodies:

Positive Controls:

  • Human spleen lysate - DEFA3 is notably expressed in the spleen

  • Human bone marrow samples - Primary site of neutrophil production where DEFA3 is abundant

  • Neutrophil-rich tissue samples

Negative Controls:

  • Primary antibody omission control

  • Isotype control (e.g., matched rabbit IgG for rabbit polyclonal antibodies or goat IgG for goat polyclonal antibodies)

  • Tissue known to lack DEFA3 expression

Additional Validation Controls:

  • Peptide competition assay - Pre-incubation of the antibody with immunizing peptide should abolish specific staining

  • DEFA3 knockdown or knockout samples if available

  • For fluorescent detection, include an autofluorescence control

When troubleshooting non-specific binding issues:

  • Optimize blocking conditions (concentration and type of blocking agent)

  • Adjust antibody dilution - higher dilutions may improve specificity

  • Increase washing duration and number of wash steps

  • For IHC, consider alternative antigen retrieval methods if background is high

How should researchers validate DEFA3 antibody specificity?

Comprehensive validation of DEFA3 antibody specificity involves multiple complementary approaches:

Western Blot Validation:

  • Verify single band at expected molecular weight (~10.2 kDa for human DEFA3)

  • Compare against alternative antibodies targeting different epitopes

  • Perform peptide competition assay to confirm specificity

  • Test multiple tissue or cell types with known differential expression

Cross-Reactivity Assessment:

  • Test against recombinant DEFA1 and DEFA3 proteins to determine if the antibody distinguishes between these closely related defensins

  • Evaluate cross-reactivity with other defensin family members

  • For antibodies claimed to work across species, validate in each species separately

Genetic Validation:

  • Test in DEFA3 knockdown/knockout models or cells

  • Correlate antibody signal with mRNA expression data from qPCR or RNA-seq

Mass Spectrometry Confirmation:

  • For ultimate validation, correlate antibody detection with mass spectrometry identification of the protein in the same samples

Epitope Mapping:

  • Determine the exact epitope recognized by the antibody using peptide arrays or similar techniques

  • Confirm epitope conservation if using antibodies across species

According to manufacturer data, many DEFA3 antibodies are raised against synthetic peptides corresponding to specific amino acid sequences (e.g., amino acids 20-94 of human DEFA3) . Knowledge of the exact immunogen helps predict potential cross-reactivity with related proteins.

What are the best practices for storage and handling of DEFA3 antibodies?

Optimal storage and handling practices for DEFA3 antibodies are essential for maintaining antibody integrity and experimental reproducibility:

Storage Conditions:

  • Store at -20°C or -80°C for long-term preservation

  • Avoid repeated freeze-thaw cycles by preparing small working aliquots

  • For short-term storage (typically less than a week), 4°C is acceptable for many antibody formulations

Buffer Considerations:

  • Most DEFA3 antibodies are supplied in buffers containing stabilizers:

    • PBS with 0.02-0.05% sodium azide

    • 40-50% glycerol as a cryoprotectant

    • Sometimes BSA (0.5-1%) as a carrier protein

  • Note that sodium azide is a hazardous substance that should be handled by trained personnel

Working Solution Preparation:

  • Prepare fresh dilutions for each experiment when possible

  • Maintain cold chain during handling to prevent antibody degradation

  • Centrifuge antibody vial briefly before opening to collect liquid at the bottom

Shipping and Transfer:

  • Antibodies are typically shipped at 4°C

  • Upon receipt, promptly store according to manufacturer recommendations

  • For transfers between labs, use dry ice for frozen antibodies or ice packs for refrigerated antibodies

Proper documentation of freeze-thaw cycles, preparation dates, and lot numbers is recommended for troubleshooting and experimental reproducibility.

How can researchers optimize DEFA3 antibody use in multiplex immunoassays?

Optimizing DEFA3 antibodies for multiplex immunoassays requires careful consideration of several factors:

Antibody Compatibility:

  • Select antibodies raised in different host species to avoid cross-reactivity of secondary antibodies

  • For fluorescent multiplex IHC/IF, choose primary antibodies that require compatible antigen retrieval methods

  • Consider using directly conjugated antibodies to eliminate secondary antibody cross-reactivity issues

Signal Separation:

  • When using fluorescent detection, select fluorophores with minimal spectral overlap

  • For chromogenic detection, use distinct chromogens that can be clearly distinguished

  • Consider the relative abundance of each target protein when selecting detection system sensitivity

Sequential Staining Protocol:

  • Begin with the weakest signal/antibody

  • Block between rounds of staining to prevent cross-reactivity

  • Consider tyramide signal amplification (TSA) for low-abundance targets

  • Use appropriate controls for each antibody individually before combining

Validation of Multiplex Results:

  • Compare multiplex staining patterns with single-antibody staining

  • Include single-color controls alongside multiplex samples

  • Perform antibody stripping controls if using sequential staining approaches

For quantitative multiplex assays, careful titration of each antibody is essential to ensure optimal signal-to-noise ratio while avoiding saturation of the detection system.

What approaches can be used to study the relationship between DEFA3 copy number variation and disease outcomes?

Investigating DEFA3 copy number variation (CNV) and its relationship to disease outcomes requires a multifaceted approach:

Genetic Analysis Methods:

  • Quantitative PCR (qPCR) for copy number determination

  • Digital PCR for precise copy number quantification

  • Multiplex Ligation-dependent Probe Amplification (MLPA)

  • Next-generation sequencing approaches with coverage analysis

  • Paralog Ratio Test (PRT) for copy number assessment

Transgenic Model Systems:

  • Generate mouse models with variable DEFA1/DEFA3 copy numbers

  • Ensure neutrophil-specific expression to replicate human biology

  • Validate expression levels correlate with gene copy number

Clinical Correlation Studies:

  • Enroll patients with different DEFA1/DEFA3 copy numbers

  • Collect comprehensive clinical data including disease severity scores

  • Analyze outcomes (mortality, organ dysfunction, etc.) stratified by copy number

  • Adjust for confounding variables in statistical analysis

Functional Validation:

  • Isolate neutrophils from individuals with different copy numbers

  • Quantify DEFA3 protein levels in neutrophil granules

  • Assess antimicrobial activity in ex vivo assays

  • Measure endothelial cell effects using co-culture systems

Research has demonstrated that transgenic mice with high copy numbers of DEFA1/DEFA3 genes show more severe sepsis outcomes compared to those with low copy numbers or wild-type mice. These findings parallel human genetic association studies that identified increased DEFA1/DEFA3 copy number as a risk factor for organ dysfunction during sepsis .

This relationship between gene copy number and disease outcome provides a foundation for precision medicine approaches, as therapeutic interventions (such as blocking antibodies) have shown efficacy specifically in the high copy number setting .

How can researchers develop therapeutic applications of DEFA3 antibodies beyond sepsis?

While current research has focused on blocking DEFA3/HNP-1 interaction with P2X7 receptor in sepsis, several emerging therapeutic directions warrant investigation:

Autoimmune Disorders:

  • Explore DEFA3 involvement in autoimmune pathology

  • Develop antibodies targeting specific inflammatory pathways

  • Investigate tissue-specific delivery of blocking antibodies

Inflammatory Bowel Disease:

  • Given DEFA3 expression in intestinal tissues, explore its role in mucosal barrier function

  • Develop topical antibody treatments for localized intestinal inflammation

  • Study DEFA3 copy number variation in IBD susceptibility and severity

Respiratory Conditions:

  • Investigate DEFA3's dual role in antimicrobial defense and inflammation in lungs

  • Develop inhalable antibody formulations for pulmonary conditions

  • Study DEFA3 as a biomarker for respiratory infection severity

Cancer Immunotherapy:

  • Explore DEFA3's role in tumor microenvironment and immune surveillance

  • Develop antibody-drug conjugates targeting DEFA3-expressing cells

  • Investigate combination approaches with existing immunotherapies

For each therapeutic application, researchers should consider:

  • Target validation in relevant disease models

  • Antibody format selection (full IgG, F(ab')2, Fab, single-chain, etc.)

  • Route of administration and pharmacokinetics

  • Potential for immunogenicity with repeated dosing

  • Combination potential with established therapies

The successful development of a blocking antibody against HNP-1 that protects mice from lethal sepsis provides a template for these future therapeutic applications .

What are the latest advances in DEFA3 antibody technology for research applications?

Recent technological advances have expanded the capabilities of DEFA3 antibodies for research:

Recombinant Antibody Technology:

  • Development of fully recombinant anti-DEFA3 antibodies with defined sequences

  • Improved batch-to-batch consistency compared to traditional polyclonal antibodies

  • Engineering of antibody variants with enhanced specificity or affinity

Novel Detection Systems:

  • Proximity ligation assays (PLA) for detecting DEFA3 interactions with binding partners

  • Super-resolution microscopy compatible antibody conjugates

  • Mass cytometry (CyTOF) antibodies for single-cell protein quantification

Functional Blocking Antibodies:

  • Development of antibodies that specifically block DEFA3 interaction with P2X7 receptor

  • Structure-guided design of blocking antibodies targeting specific functional domains

  • Humanized versions of blocking antibodies for potential clinical translation

Multiplex Detection:

  • Antibodies compatible with highly multiplexed imaging platforms

  • Oligonucleotide-conjugated antibodies for spatial transcriptomics applications

  • Multi-epitope targeting antibody cocktails for improved detection sensitivity

These advances are enabling more sophisticated research applications, from high-resolution localization studies to functional intervention approaches that can translate from bench to bedside. The development of a monoclonal antibody that blocks HNP-1 interaction with P2X7 receptor, protecting mice with high copy numbers of DEFA1/DEFA3 from lethal sepsis, exemplifies how antibody technology is advancing therapeutic possibilities .

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