The antibody is employed in studies investigating EGR3’s roles in:
Immune Regulation: EGR3 modulates TGF-β1 and IL-10 expression in T cells, influencing regulatory T-cell (Treg) function .
Neuroplasticity: Required for ECS-induced BDNF expression in hippocampal neurons .
Inflammation: Mediates allergic responses via the EGR3-HDAC6-IL-27 axis .
Treg Activity: EGR3 induces TGF-β1 in CD4+ T cells, suppressing B-cell proliferation and antibody production .
Th17 Responses: EGR3 promotes IL-17 production in γδ T cells, influencing autoimmune diseases .
BDNF Regulation: EGR3 knockout mice show impaired BDNF induction post-electroconvulsive stimulation (ECS), linking EGR3 to neuroplasticity .
The antibody demonstrates broad reactivity across mammals, enabling comparative studies:
| Species | Reactivity | Applications | Source |
|---|---|---|---|
| Human | 100% | WB, IHC | |
| Mouse | 93–100% | WB, IHC | |
| Rat | 100% | WB, IHC | |
| Cow, Dog, Horse | 100% | WB |
Dilution Optimization: Required for each experimental system to maximize signal-to-noise ratio .
Isoform Specificity: EGR3 has multiple splice variants; ensure primers or probes target exons IV/VI for BDNF studies .
Cross-Contamination: Sodium azide in buffers may interfere with enzymatic assays; use azide-free alternatives if needed .
EGR3 (Early Growth Response 3) is a member of the early growth response (Egr) gene family of zinc finger transcription factors. It plays crucial roles in regulating genetic programs involved in cellular growth, differentiation, and function. EGR3 has particular significance as it:
Functions as a master regulator of genes differentially expressed in neuropsychiatric conditions including schizophrenia, bipolar disorder, and Alzheimer's disease
Regulates the expression of genes involved in inflammation, including those encoding various secreted cytokines and protease inhibitors
Is involved in muscle spindle development as a probable transcription factor
Research has shown that EGR3 is one of the most highly upregulated genes in rat basophilic leukemia (RBL2H3) cells stimulated with antigen, indicating its potential role in allergic inflammation. The EGR3-HDAC6-IL-27 axis has been identified as a novel mediator in allergic inflammatory responses .
Commercial EGR3 antibodies typically display the following characteristics:
| Attribute | Specification | Notes |
|---|---|---|
| Calculated Molecular Weight | 387 aa, 43 kDa | Based on amino acid sequence |
| Observed Molecular Weight | 43-50 kDa | May vary slightly between vendors |
| Host | Rabbit | Most common source |
| Type | Polyclonal | For broad epitope recognition |
| Reactivity | Human, Mouse, Rat | Cross-species compatibility |
| Form | Liquid | Typical presentation |
| Storage Buffer | PBS with 0.02% sodium azide and 50% glycerol pH 7.3 | Standard formulation |
Antibodies targeting EGR3 are commonly generated using recombinant fragments of the human EGR3 protein as immunogens, and they undergo antigen affinity purification to ensure specificity .
While direct information on EGR3 antibody biotinylation is not explicitly provided in the search results, standard antibody biotinylation methods can be adapted based on similar approaches. The recommended protocol involves:
Buffer Exchange Preparation:
Dialyze antibody against 0.1 M sodium bicarbonate buffer (pH 8.3-8.5)
Ensure antibody concentration is 1-10 mg/mL for optimal conjugation
Biotinylation Reaction:
Dissolve NHS-biotin or Sulfo-NHS-biotin in DMSO at 10 mg/mL
Add biotin reagent to antibody solution at a 20:1 molar ratio
Incubate at room temperature for 2 hours with gentle agitation
Purification:
Remove unconjugated biotin using gel filtration or dialysis against PBS
Evaluate biotinylation efficiency using HABA assay or streptavidin binding assay
Storage and Stability:
Alternatively, enzymatic biotinylation methods can be employed using a bacterial biotin ligase (BirA) recognition site (Avitag™) for site-specific conjugation, similar to the approach described for other proteins .
Proper validation of biotin-conjugated EGR3 antibodies requires a multi-faceted approach:
Western Blot Validation:
Run appropriate positive controls (samples with known EGR3 expression)
Include negative controls (samples with knockout or knockdown of EGR3)
Confirm band at the expected molecular weight (43-50 kDa)
Compare with unconjugated antibody to ensure biotinylation hasn't affected specificity
Immunoprecipitation Validation:
Perform IP using the biotin-conjugated antibody followed by detection with unconjugated anti-EGR3 antibody
Run reverse IP with unconjugated antibody followed by detection with streptavidin
Include appropriate controls such as IgG and no-antibody controls
Blocking Experiments:
Pre-incubate the antibody with recombinant EGR3 protein
Compare signal intensity between blocked and unblocked antibody
Cross-Reactivity Assessment:
The optimal western blot protocol for biotin-conjugated EGR3 antibodies integrates standard techniques with specific considerations:
Sample Preparation:
Use whole cell lysates or nuclear extracts from appropriate cell types (e.g., MCF7 cells, brain tissue)
Load 30-50 μg protein per lane for optimal detection
Use SDS-PAGE (7.5-10%) for optimal separation
Transfer and Blocking:
Transfer proteins to PVDF or nitrocellulose membrane
Block with 5% non-fat milk or 5% BSA in TBST
Critical step: If using streptavidin-HRP detection, ensure blocking agent does not contain endogenous biotin
Detection Options:
Direct detection: Apply streptavidin-HRP (1:5000-1:10000) and visualize with ECL
Amplified detection: Use streptavidin-conjugated secondary reporter system
Recommended Dilutions:
For biotin-conjugated EGR3 antibodies: 1:1000-1:4000 (optimize for each application)
Streptavidin-HRP: 1:5000-1:10000
Controls:
Include positive control samples known to express EGR3
Include negative control without primary antibody
Consider using blocking peptide control
The expected molecular weight for EGR3 is 43 kDa, but observed weight may be up to 50 kDa depending on post-translational modifications .
Non-specific binding is a common challenge when using biotin-conjugated antibodies. To minimize this issue:
Optimizing Blocking Conditions:
Use freshly prepared blocking solutions
Consider alternative blocking agents (BSA, casein, commercial blockers)
For tissues/cells with high endogenous biotin, use avidin/biotin blocking kits prior to antibody application
Buffer Optimization:
Increase salt concentration in wash buffers (150-500 mM NaCl)
Add 0.1-0.5% detergent (Tween-20, Triton X-100) to reduce hydrophobic interactions
Include 1-5% carrier proteins in dilution buffers
Antibody Dilution Optimization:
Perform titration experiments to determine optimal antibody concentration
Typical dilution ranges from 1:1000 to 1:4000 for Western blotting
Excessive antibody concentration often increases background
Pre-absorption Strategies:
Pre-incubate antibody with lysates from cells not expressing the target
For tissue immunostaining, consider pre-absorption with tissue powder
Endogenous Biotin/Avidin Considerations:
Proper storage is crucial for maintaining the activity and specificity of biotin-conjugated EGR3 antibodies:
| Storage Parameter | Recommendation | Impact on Performance |
|---|---|---|
| Temperature | -20°C for long-term storage | Prevents degradation of both antibody and biotin moiety |
| Buffer Composition | PBS with 0.02% sodium azide and 50% glycerol (pH 7.3) | Stabilizes protein structure and prevents microbial growth |
| Aliquoting | Small single-use aliquots | Minimizes freeze-thaw cycles that cause degradation |
| Freeze-Thaw Cycles | Avoid repeated cycles | Each cycle may reduce activity by 10-20% |
| Working Stock | Store at 4°C for up to 2 weeks | Convenient for ongoing experiments |
| Lyophilized Form | Original lyophilized form most stable | Consider for very long-term storage needs |
Performance indicators that may suggest storage-related deterioration:
Increased background in applications
Reduced signal intensity
Appearance of non-specific bands in Western blotting
Decreased reproducibility between experiments
If deterioration is suspected, validation against a fresh aliquot or new lot should be performed .
Recent research has identified the EGR3-HDAC6-IL-27 axis as a critical mediator in allergic inflammation. Biotin-conjugated EGR3 antibodies can be strategically employed to investigate this pathway:
Chromatin Immunoprecipitation (ChIP) Analysis:
Use biotin-conjugated EGR3 antibodies to pull down EGR3-bound chromatin
Analyze binding to HDAC6 promoter sequences using PCR with specific primers:
HDAC6 promoter-1: 5′-TGGGCGGGCAAATGAAAAAG-3′ (sense) and 5′-GCCTACCGTTTAACCAGGCT-3′ (antisense)
HDAC6 promoter-2: 5′-GGATTCTGATCGAAAGGGGCA-3′ (sense) and 5′-TCCACTTCCCACATCCTTTCAT-3′ (antisense)
HDAC6 promoter-3: 5′-GGGTAGGGCAGGCCTAAGAA-3′ (sense) and 5′-CTAGATCGCAGCCTTCACCG-3′ (antisense)
Co-Immunoprecipitation Studies:
Use in pull-down assays to isolate EGR3 and associated proteins
Analyze interactions between EGR3 and components of the NF-κB pathway
Identify protein complexes involved in HDAC6 regulation and IL-27 production
In vivo Allergic Inflammation Models:
Apply in passive cutaneous anaphylaxis (PCA) and passive systemic anaphylaxis (PSA) models
Track EGR3 expression and localization during allergic responses
Correlate with β-hexosaminidase activity as a measure of mast cell degranulation
Multiplex Analysis with miR-182-5p:
Kinase signaling pathway analysis using biotin-conjugated EGR3 antibodies can be conducted through several sophisticated approaches:
Kinase-Catalyzed Biotinylation (K-BMAPS) Integration:
Combine with ATP-biotin for kinase-catalyzed biotinylation
Use EGR3 antibodies to pull down EGR3 and analyze its phosphorylation state
Compare EGF-stimulated versus unstimulated samples to identify differential phosphorylation
Quantification protocol:
Normalize eluate signal intensity to input intensity
Express as percentage relative to EGF-stimulated sample
Perform statistical analysis using unpaired t-tests
Multiplexed Pathway Analysis:
Study EGR3 in relation to other key signaling proteins:
EGFR and phospho-EGFR (Tyr1068)
ERK1/2 and phospho-ERK1/2 (Thr202/Tyr204)
AKT1 and phospho-AKT1 (Ser473)
Use streptavidin-based multicolor detection systems for simultaneous visualization
Three-step Pretargeting Methods:
Adapt protocols similar to those using biotin/avidin ligand/anti-ligand binding pairs
Apply in sequential steps:
Targeting moiety-ligand conjugate localization
Anti-ligand binding and clearance
Diagnostic agent binding
This approach can improve signal-to-noise ratio in complex signaling pathway analysis
Distinguishing between EGR family members requires careful experimental design and validation:
Sequence-Based Selection Strategy:
Choose antibodies raised against unique regions of EGR3 not conserved in EGR1, EGR2, or EGR4
Target non-zinc finger domains which have greater sequence divergence
Avoid antibodies targeting the highly conserved zinc finger motifs
Validation Experiments:
Cross-reactivity testing: Test antibody against recombinant EGR1, EGR2, EGR3, and EGR4
Knockout/knockdown controls: Use cells with specific EGR3 knockdown to confirm specificity
Peptide competition: Perform blocking experiments with specific EGR3 peptides
Differential Expression Analysis:
Exploit known tissue-specific expression patterns of EGR family members
Brain tissue expresses multiple EGR members and requires careful validation
Compare expression patterns across tissues with known differential expression profiles
Multi-antibody Approach:
Use multiple antibodies targeting different EGR3 epitopes
Concordant results increase confidence in specificity
Include specific antibodies against other EGR family members as controls
| EGR Family Member | Molecular Weight | Key Distinguishing Features |
|---|---|---|
| EGR1 | 75-80 kDa | Broader tissue expression |
| EGR2 | 45-50 kDa | Strong expression in peripheral nerve tissue |
| EGR3 | 43-50 kDa | Strong expression in muscle spindles and brain |
| EGR4 | 38-40 kDa | Primarily in brain and reproductive tissues |
Researchers should also be aware of potential expression changes under different cellular conditions, as EGR3 can be rapidly induced by various stimuli, potentially complicating experimental interpretation .
Biotin-conjugated EGR3 antibodies offer significant potential for neuropsychiatric research based on EGR3's established role as a master regulator of genes implicated in conditions such as schizophrenia, bipolar disorder, and Alzheimer's disease:
Brain Region-Specific Expression Analysis:
Utilize biotin-conjugated antibodies for multiplex immunohistochemistry
Map EGR3 expression across different brain regions in neuropsychiatric models
Compare expression patterns between control and disease tissues
Advantage of biotin conjugation: Allows for signal amplification in tissues with low expression
Single-Cell Resolution Studies:
Apply in flow cytometry and FACS sorting of neural cell populations
Combine with cell-type-specific markers for neuron subtypes, astrocytes, and microglia
Isolate EGR3-expressing cells for downstream transcriptomic or proteomic analysis
Transcriptional Target Identification:
Use in ChIP-seq experiments to map EGR3 binding sites across the genome in neural tissues
Identify disease-relevant target genes regulated by EGR3
Compare binding patterns between healthy and disease states
Advantage of biotin-conjugation: Compatible with stringent wash conditions to reduce background
Protein-Protein Interaction Networks:
Employ in pull-down assays to identify EGR3 interaction partners in neural cells
Characterize complexes involved in neuropsychiatric pathways
Combined with mass spectrometry for unbiased interaction screening
These approaches can help elucidate the molecular mechanisms by which EGR3 contributes to neuropsychiatric conditions, potentially identifying new therapeutic targets .
Advanced multi-omics research can benefit from integrating biotin-conjugated EGR3 antibodies with other cutting-edge technologies:
Spatial Transcriptomics Integration:
Combine immunostaining using biotin-conjugated EGR3 antibodies with spatial transcriptomics
Co-register protein localization with transcriptional profiles in tissue sections
Protocol adaptation:
Fix tissue sections using paraformaldehyde
Perform immunostaining with biotin-conjugated EGR3 antibody
Detect with streptavidin-fluorophore conjugate
Image tissue
Proceed with spatial transcriptomics workflow (e.g., Visium, Slide-seq)
Computational integration of protein and RNA data
CUT&RUN and CUT&Tag Applications:
Adapt biotin-conjugated EGR3 antibodies for Cleavage Under Targets and Release Using Nuclease (CUT&RUN) or CUT&Tag methods
Advantage: Requires fewer cells than traditional ChIP-seq
Workflow modification:
Immobilize cells on ConA beads
Permeabilize cell membrane
Introduce biotin-conjugated EGR3 antibody
Add streptavidin-MNase or streptavidin-pA-Tn5
Controlled digestion and DNA recovery
Library preparation and sequencing
Proximity Labeling Approaches:
Combine with BioID or APEX2 proximity labeling systems
Generate fusion constructs of EGR3 with biotin ligase (BirA*) or APEX2
Map the local interactome of EGR3 in different cellular contexts
Use biotin-conjugated EGR3 antibodies to validate identified interactions
Single-Cell Proteogenomics:
Integrate with CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing)
Develop oligonucleotide-conjugated EGR3 antibodies based on biotin-streptavidin linkage
Simultaneously profile EGR3 protein levels and transcriptome in single cells