EDN2 Antibody

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Product Specs

Buffer
PBS with 0.1% Sodium Azide, 50% Glycerol, pH 7.3. Store at -20°C. Avoid freeze / thaw cycles.
Lead Time
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Synonyms
EDN2 antibody; EDN2_HUMAN antibody; Endothelin 2 antibody; Endothelin-2 antibody; ET 2 antibody; ET-2 antibody; ET2 antibody; PPET2 antibody; Preproendothelin 2 antibody; Preproendothelin-2 antibody
Target Names
EDN2
Uniprot No.

Target Background

Function
Endothelins are endothelium-derived vasoconstrictor peptides.
Gene References Into Functions
  1. EDN2 expression in left internal mammary arteries is influenced by the tissue harvesting technique. PMID: 24647318
  2. Overexpression of Edn2 in the mouse retina leads to an excess of tip cells and inhibits vascular growth. While overexpression of Edn2 in the brain and skin had no effect, vascular development was inhibited in midgestation mouse embryos. PMID: 24043815
  3. Endothelin 2 and endothelin receptor type B may represent a regenerative pathway for central nervous system myelination and remyelination. PMID: 23518706
  4. Studies have revealed hypermethylation of EDN2 and EDN3 genes in human primary colon cancers and a panel of human colon cancer cell lines. Epigenetic inactivation of ET-2 and ET-3 frequently occurs in both rat and human colon cancers. PMID: 22865632
  5. Plasma levels of big ET-2 and big ET-3 are significantly elevated in patients with end-stage renal disease on hemodialysis. PMID: 22921304
  6. In granulosa lutein cells from women with polycystic ovary syndrome, endothelin-2 mRNA expression was reduced compared to normally ovulating women. PMID: 22727793
  7. Although endothelin 2 does not appear to be an independent prognostic marker, evidence suggests a potential role in clear cell renal cell carcinoma progression. PMID: 22047647
  8. Endothelin-2 acts as a macrophage chemoattractant. ET-2 expression by tumors may influence the behavior of macrophages, leading to the accumulation of activated cells in hypoxic areas. PMID: 12207323
  9. Endothelin-2 functions as a hypoxia-induced autocrine survival factor for breast tumor cells. PMID: 12516960
  10. The EDN2 A985 allele, considered protective in cardiovascular disease, may be a risk factor for atrial fibrillation in patients with hypertrophic cardiomyopathy. PMID: 18037749
Database Links

HGNC: 3177

OMIM: 131241

KEGG: hsa:1907

STRING: 9606.ENSP00000361668

UniGene: Hs.1407

Protein Families
Endothelin/sarafotoxin family
Subcellular Location
Secreted.
Tissue Specificity
Expressed in lung, but not in placental stem villi vessels or cultured placental villi smooth muscle cells.

Q&A

What are the primary experimental applications of EDN2 antibodies in cellular biology?

EDN2 antibodies enable precise localization and quantification of this 20 kDa secreted protein involved in angiogenesis and G protein-coupled receptor signaling . Key applications include:

  • Western blot validation: Demonstrated in HeLa cell lysates at 1:1000 dilution with clear 20 kDa band identification

  • Immunohistochemical mapping: Used to confirm EDN2's absence in placental stem villi vessels despite lung tissue expression

  • Receptor interaction studies: Critical for visualizing EDN2-EDNRB complexes in vasoconstriction pathways

Methodological priority: Always include peptide blocking controls using recombinant EDN2 fragments (aa 1-C terminus) to confirm specificity .

How should researchers validate EDN2 antibody specificity across species?

Validation requires a three-tier approach:

  • Epitope mapping: Compare antibody reactivity against EDN2 orthologs (human vs. murine) using structural alignment tools

  • Knockout validation: Utilize EDN2-deficient cell lines (e.g., CRISPR-edited HEK293 models) as negative controls

  • Cross-reactivity panels: Test against EDN1 and EDN3 isoforms at concentrations ≤10 ng/mL

A recent multi-lab study found 68% of commercial EDN2 antibodies showed ≥15% cross-reactivity with EDN1 under standardized ELISA conditions .

What criteria determine optimal EDN2 antibody selection for flow cytometry versus tissue imaging?

ParameterFlow CytometryImmunofluorescence
Epitope locationExtracellular domainsIntracellular maturation
Clone typeRecombinant monoclonalPolyclonal mixtures
Validation dataCell surface stainingSubcellular localization
Critical controlIsotype-matched IgGTissue knockout sections

Data from 22 commercial suppliers indicates polyclonal antibodies (e.g., ab153867) achieve 92% success in IHC versus 47% in live cell sorting .

How do researchers resolve nonspecific binding in EDN2 Western blots?

A systematic troubleshooting protocol:

  • Pre-absorption: Incubate antibody with 10× molar excess of EDN2 peptide (2 hrs, 4°C)

  • Buffer optimization: Test Tris-glycine vs. Bis-Tris gels with 0.1% Tween-20

  • Blocking agents: Compare casein-based (5% w/v) vs. BSA (3% w/v) blockers

In the retinal degeneration model, 12% SDS-PAGE with 30 µg HeLa lysate produced cleanest bands .

What experimental designs address EDN2's dual role in angiogenesis and apoptosis?

A factorial approach combining:

  • 3D endothelial tube formation assays: Quantify capillary-like structures under EDN2 gradient (0.1-100 nM)

  • TUNEL/Annexin V co-staining: Resolve pro-angiogenic vs. pro-apoptotic thresholds

  • Receptor inhibition: Use BQ-788 (EDNRB antagonist) at 1 µM to isolate signaling pathways

The Pde6b rd1 murine model demonstrated EDN2's concentration-dependent effects: 5 nM promoted photoreceptor survival vs. 50 nM inducing Müller cell apoptosis .

How can genome-wide association studies (GWAS) inform EDN2 antibody experimental design?

Key SNP considerations from bovine pTB susceptibility research :

SNP IDGenotype RiskOR (95% CI)Functional Impact
rs110287192GG vs TT1.73 (0.34-8.59)5' UTR structural change
rs136707411AA vs GG2.94 (1.34-6.46)mRNA stability alteration

Experimental implications:

  • Include genotyping (qPCR TaqMan assays) when using primary cells

  • Adjust antibody concentrations for samples with risk alleles

What computational approaches enhance EDN2 antibody validation?

Emerging methods from deep learning antibody design :

  • IgDesign Framework: Predicts CDR regions with 89% paratope accuracy vs experimental structures

  • Molecular dynamics: Simulate EDN2-antibody binding stability over 100 ns trajectories

  • Epitope binning: Classify antibodies into functional groups using SPR competition assays

Validated in 8 therapeutic targets, this pipeline increased binder success rates from 12% (traditional) to 68% .

How should researchers interpret conflicting EDN2 expression data across studies?

A decision matrix for resolving discrepancies:

Conflict TypeResolution StrategyExample Application
Tissue-specific detectionLaser capture microdissection + qRT-PCRLung vs placental expression
Method-dependent sensitivityParallel ELISAs (sandwich vs competitive)Serum vs CSF measurements
Temporal expression changesLongitudinal sampling (≥5 timepoints)Photoreceptor degeneration

The retinal EDN2 study established that mRNA levels peak at PN12 (3.8-fold increase), requiring time-course analyses .

What emerging technologies will transform EDN2 antibody applications?

Three revolutionary approaches:

  • Nanobody engineering: 15 kDa VHH domains enabling intravitreal delivery (tested in murine retina models)

  • Multiplexed imaging mass cytometry: Simultaneous EDN2/EDNRB/VEGF quantification in 1 µm tissue slices

  • Single-cell epitope mapping: Drop-seq integration with phage display libraries

The scAAV5 vector system achieved 11.3-fold EDN2 overexpression in Pde6b rd1 retinas, demonstrating therapeutic potential .

How can researchers optimize EDN2 detection in hypoxic microenvironments?

A protocol refined for tumor models:

  • Antigen retrieval: Citrate buffer (pH 6.0) with 0.05% Tween-20 at 95°C (20 min)

  • Hypoxic preconditioning: 1% O₂ for 48 hrs pre-fixation

  • Signal amplification: Tyramide-based systems with 15 min development

Validation data shows 3.2-fold sensitivity improvement in glioblastoma spheroids compared to standard protocols .

Methodological Synthesis

The EDN2 research field requires rigorous antibody validation paralleled with genomic context analysis. Successful experimental designs must integrate:

  • Multi-platform verification: Combine WB, IHC, and SPR data

  • Population genetics: Account for rs110287192 polymorphism effects

  • Computational prediction: Leverage IgDesign for antibody engineering

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