Eta2: Refers to a protein identified in Edwardsiella tarda (a fish pathogen) as a vaccine candidate . It is a 178-residue outer membrane chaperone. Antibodies targeting Eta2 are not explicitly mentioned in the search results.
ETS2: A transcription factor (v-ets erythroblastosis virus E26 oncogene homolog 2) implicated in immune regulation and cancer . Commercial antibodies for ETS2 are widely available for research applications (e.g., WB, IHC).
Cancer Biology: ETS2 antibodies are used to study its role in breast cancer cell proliferation and telomerase activity . ETS2 knockdown reduces hTERT expression and induces apoptosis.
Immunology: ETS2 regulates macrophage inflammation by modulating cytokines (IL-6, TNF-α) and ROS production . Antibodies are critical for assessing ETS2 expression in immune cells.
Neurological Disorders: Elevated ETS2 levels correlate with agitation in antibody-positive psychiatric patients .
Cancer Prognosis: High ETS2 expression in tumor-associated macrophages correlates with reduced breast cancer metastasis . Antibody-based profiling identifies ETS2 as a prognostic marker.
Inflammatory Diseases: ETS2 overexpression in macrophages mimics inflammatory bowel disease (IBD) phenotypes, with therapeutic potential for targeting ETS2 pathways .
KEGG: spo:SPAC31G5.10
STRING: 4896.SPAC31G5.10.1
Ets2 (E26 transformation-specific sequence 2) is a transcription factor that binds specifically to the DNA GGAA/T core motif (Ets-binding site or EBS) in gene promoters and stimulates transcription . Research demonstrates that Ets2 plays a significant role in regulating inflammatory responses. It negatively regulates LPS and vesicular stomatitis virus (VSV)-induced proinflammatory cytokine production in macrophages. Studies have shown that Ets2 inhibits the production of inflammatory cytokines such as IL-6, TNF-α, and IFN-β, suggesting its importance in maintaining inflammatory homeostasis .
Ets2 antibodies are commonly used in multiple research applications including Western Blot (WB), Immunocytochemistry/Immunofluorescence (ICC/IF), Immunohistochemistry (IHC-P), and Immunoprecipitation (IP) . These antibodies are particularly valuable for investigating Ets2's role in immune response regulation, inflammatory pathways, and transcriptional activation. When studying Ets2's function in inflammatory processes, researchers typically monitor changes in cytokine production through techniques like ELISA and qPCR following experimental manipulation of Ets2 expression .
When selecting an Ets2 antibody, consider the following methodological factors:
Target species compatibility: Verify that the antibody recognizes your species of interest (human, mouse, rat, etc.)
Antibody type: Determine whether a monoclonal or polyclonal antibody is more suitable for your application
Validated applications: Confirm the antibody has been validated for your specific application (WB, ICC/IF, IHC-P, IP)
Epitope location: Consider whether you need an antibody that targets the N-terminal, middle region, or C-terminal of Ets2
Modifications detection: Some experiments may require antibodies that can distinguish between phosphorylated and non-phosphorylated forms of Ets2
Ets2 inhibits inflammatory cytokine production through multiple signaling pathways. Mechanistically, research has demonstrated that Ets2 inhibits the LPS- and VSV-induced activation of several key inflammatory signaling components:
MAPK pathway: Ets2 suppresses the activation of ERK1/2, JNK, and p38
NF-κB pathway: Ets2 inhibits the activation of p65, a critical component of NF-κB signaling
This dual inhibition results in decreased transcription of proinflammatory cytokines including IL-6 and TNF-α. Knockdown or knockout of Ets2 leads to increased production of these cytokines in macrophages, and Ets2-deficient mice show exacerbated inflammatory cytokine production and increased susceptibility to sepsis . When designing experiments to investigate these pathways, researchers should consider measuring phosphorylation levels of these signaling proteins alongside cytokine production.
When analyzing antibody-mediated detection of Ets2 across experimental conditions, researchers should consider:
Parametric vs. non-parametric tests: Depending on data distribution, use t-tests and ANOVA (parametric) or Mann-Whitney and Kruskal-Wallis tests (non-parametric)
Effect size calculations: Beyond p-values, calculate effect sizes such as Cohen's d or eta squared (η²) to quantify the magnitude of differences
Correlation analyses: When examining relationships between Ets2 levels and other variables, consider Pearson's r (linear relationships) or Spearman's rho (non-linear relationships)
Multiple comparisons adjustment: Apply Bonferroni or false discovery rate corrections when performing multiple comparisons
For instance, in studies examining relationships between variables, eta squared (η²) can quantify association strength. In one study examining plasma antibody levels, researchers found a significant association with vaccination status (P = 0.00147, η² = 0.211), indicating a moderate effect size .
Optimizing immunoprecipitation (IP) protocols for Ets2 requires methodological precision:
Antibody selection: Use validated antibodies specific for IP applications. For example, ab219948 has been validated for Ets2 immunoprecipitation at a 1/30 dilution .
Lysate preparation: Use lysis buffers that preserve protein-protein interactions while effectively solubilizing membrane-associated proteins.
Cross-linking considerations: For transient or weak interactions, consider using chemical cross-linking agents.
Controls: Always include:
Input control (typically 5-10% of starting material)
Negative control using isotype-matched IgG (e.g., rabbit monoclonal IgG instead of Ets2 antibody)
Detection strategy: Consider using specialized detection reagents such as VeriBlot for IP Detection Reagent to minimize detection of denatured antibody chains .
Phosphorylation state: Be aware that Ets2 can exist in phosphorylated and non-phosphorylated forms, which may appear as distinct bands on Western blots following IP .
When designing experiments to study Ets2's role in inflammation, consider these methodological approaches:
Gene manipulation strategies:
siRNA knockdown: Transfect cells with Ets2-targeted siRNA to reduce expression
CRISPR-Cas9: Generate Ets2 knockout cell lines or animal models
Overexpression: Transfect cells with Ets2 expression vectors
Stimulus selection:
LPS stimulation (e.g., 100 ng/ml) to activate TLR4 signaling
Viral challenges (e.g., VSV) to study antiviral responses
CLP (cecal ligation and puncture) for in vivo sepsis models
Readout measurements:
Designing time-course experiments for Ets2 requires careful planning:
Baseline establishment:
Measure Ets2 expression in unstimulated cells as a reference point
Include time-matched unstimulated controls for each time point
Time point selection:
Early time points (0, 15, 30 minutes) to capture immediate signaling events
Intermediate time points (1, 3, 6 hours) to observe transcriptional changes
Later time points (12, 24, 48 hours) to assess downstream effects
Parallel measurements:
Ets2 protein levels by Western blot
Ets2 mRNA expression by qPCR
Phosphorylation status of Ets2 using phospho-specific antibodies
Downstream target gene expression
Stimulus concentration gradients:
When facing discrepancies between Ets2 mRNA and protein levels, consider these methodological explanations:
Post-transcriptional regulation:
miRNA-mediated suppression of translation
Changes in mRNA stability or translation efficiency
Post-translational modifications:
Protein phosphorylation (Ets2 exists in both phosphorylated and non-phosphorylated forms)
Ubiquitination and proteasomal degradation affecting protein half-life
Technical considerations:
Antibody epitope accessibility may be affected by protein conformation or complex formation
Detection sensitivity differences between qPCR and Western blot techniques
Proper normalization to loading controls for both techniques
Temporal dynamics:
Common pitfalls in Ets2 antibody data analysis include:
Non-specific binding:
Always include appropriate negative controls
Validate antibody specificity using knockout/knockdown samples
Consider using multiple antibodies targeting different epitopes
Signal quantification errors:
Use appropriate image analysis software for densitometry
Apply background subtraction consistently
Establish a linear dynamic range for signal quantification
Normalization challenges:
Select stable reference proteins/genes unaffected by experimental conditions
Consider multiple normalization controls when analyzing inflammatory conditions
Verify that housekeeping gene expression remains constant under experimental conditions
Statistical analysis errors:
When encountering weak or inconsistent Ets2 signals, implement these methodological improvements:
Sample preparation optimization:
Use phosphatase inhibitors to preserve phosphorylated Ets2 forms
Optimize lysis buffer composition for complete protein extraction
Consider nuclear extraction protocols as Ets2 is a transcription factor
Antibody optimization:
Test multiple antibody concentrations (typical range: 1/500-1/5000 dilution)
Extend primary antibody incubation time (overnight at 4°C)
Try different blocking agents (BSA vs. non-fat dry milk)
Detection system enhancement:
Consider more sensitive detection systems (enhanced chemiluminescence)
Optimize exposure times for digital imaging systems
Use signal enhancement systems compatible with your antibody
Protein loading considerations:
Differentiating between Ets2 phosphorylation states requires specific methodological approaches:
Phospho-specific antibodies:
Use antibodies specifically targeting phosphorylated epitopes on Ets2
Run parallel blots with phospho-specific and total Ets2 antibodies
Phosphatase treatment:
Treat duplicate samples with lambda phosphatase before SDS-PAGE
Compare migration patterns between treated and untreated samples
Mobility shift assays:
Use Phos-tag acrylamide gels to enhance separation of phosphorylated proteins
Note that phosphorylated Ets2 typically migrates at a slightly higher apparent molecular weight
Immunoprecipitation-based approaches:
Emerging technologies advancing Ets2 antibody research include:
Proximity labeling techniques:
BioID or TurboID fusion proteins to identify Ets2 interaction partners
APEX2-based approaches for spatial proteomics of Ets2 complexes
Advanced microscopy applications:
Super-resolution microscopy for precise Ets2 localization
Live-cell imaging with tagged antibody fragments to track Ets2 dynamics
Single-cell analysis:
Antibody-based single-cell proteomics to assess Ets2 heterogeneity
Integrated multi-omics approaches combining transcriptomics with antibody-based protein detection
Antibody engineering advancements:
Computational approaches enhancing Ets2 antibody research include:
Molecular modeling and design:
Virtual affinity maturation using Assisted Design of Antibody and Protein Therapeutics (ADAPT) platform
Computational assessment of antibody developability: stability, immunogenicity, aggregation potential
Predictive epitope mapping:
In silico prediction of optimal Ets2 epitopes for antibody generation
Assessment of epitope conservation across species for cross-reactivity prediction
Machine learning applications:
Pattern recognition in antibody binding data to identify optimal detection conditions
Automated image analysis for quantifying immunofluorescence or immunohistochemistry results
Network analysis tools: