Eosinophil Derived Neurotoxin (EDN) ELISA Kit (DEIA10093)

Regulatory status: For research use only, not for use in diagnostic procedures.

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serum, plasma, urine, stool
Species Reactivity
Intended Use
The Eosinophil Derived Neurotoxin (EDN) ELISA Kit is intended for the quantitative determination of EDN (eosinophil-derived neurotoxin, eosinophil protein x, EPX) in serum, plasma, urine and stool.
Contents of Kit
1. PLATE, One holder with precoated strips, 12 x 8 wells
2. WASHBUF ELISA, wash buffer concentrate, 10X, 2 x 100 mL
3. EXBUF, Extraction buffer concentrate 2.5X, 2 x 100 mL
4. ASYBUF, Assay buffer, ready-to-use, 50 mL
5. STD, Standard, lyophilized, 2 x 5 vials
6. CTRL, Control, lyophilized, 2 x 1 vial
7. CTRL, Control, lyophilized, 2 x 1 vial
8. CONJ, Conjugate, polyclonal peroxidaselabeled antibody, 200 μL
9. SUB, TMB substrate (Tetramethylbenzidine), ready to use, 15 mL
10. STOP, ELISA stop solution, ready to use, 15 mL
Reagents must bestored at 2-8°C. For more detailed information, please download the following document on our website.


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Prognostic value of immune-related genes in clear cell renal cell carcinoma


Authors: Wan, Bangbei; Liu, Bo; Huang, Yuan; Yu, Gang; Lv, Cai

Clear cell renal cell carcinoma (ccRCC) is the most common pathological subtype of renal cell carcinoma, and immune-related genes (IRGs) are key contributors to its development. In this study, the gene expression profiles and clinical data of ccRCC patients were downloaded from The Cancer Genome Atlas database and the cBioPortal database, respectively. IRGs were obtained from the ImmPort database. We analyzed the expression of IRGs in ccRCC, and discovered 681 that were differentially expressed between ccRCC and normal kidney tissues. Univariate Cox regression analysis was used to identify prognostic differentially expressed IRGs (PDEIRGs). Using Lasso regression and multivariate Cox regression analyses, we detected seven optimal PDEIRGs (PLAU, ISG15, IRF9, ARG2, RNASE2, SEMA3G and UCN) and used them to construct a risk model to predict the prognosis of ccRCC patients. This model accurately stratified patients with different survival outcomes and precisely identified patients with different mutation burdens. Our findings suggest the seven PDEIRGs identified in this study are valuable prognostic predictors in ccRCC patients. These genes could be used to investigate the developmental mechanisms of ccRCC and to design individualized treatments for ccRCC patients.

Blood cell gene expression profiling in rheumatoid arthritis - Discriminative genes and effect of rheumatoid factor


Authors: Bovin, LF; Rieneck, K; Workman, C; Nielsen, H; Sorensen, SF; Skjodt, H; Florescu, A; Brunak, S; Bendtzen, K

To study the pathogenic importance of the rheumatoid factor (RF) in rheumatoid arthritis (RA) and to identify genes differentially expressed in patients and healthy individuals, total RNA was isolated from peripheral blood mononuclear cells (PBMC) from eight RF-positive and six RF-negative RA patients, and seven healthy controls. Gene expression of about 10,000 genes were examined using oligonucleotide-based DNA chip microarrays. The analyses showed no significant differences in PBMC expression patterns from RF-positive and RF-negative patients. However, comparisons of gene expression patterns from all fourteen RA patients and healthy controls identified a subset of discriminative genes. These results were validated by real time reverse transcription polymerase chain reaction (RT-PCR) on another group of RA patients and healthy controls. This confirmed that the following genes had a significantly higher expression in RA patients than in healthy controls: CD14 antigen, defensin alpha-1 and alpha-3 (DEFA), fatty-acid-Coenzyme A ligase, long-chain 2 (FACL), ribonuclease 2 (RNASE2), S 100 calcium-binding protein AS and A12 (S100A8 and S100A12). In contrast, the expression of MHC class II, DQ beta1 (HLA-DQB1) was significantly reduced in RA patients compared to healthy controls. Conclusions: With the analytical procedure employed, we did not find any indication that RF-positive and RF-negative RA are two fundamentally different diseases. Most of the genes discriminative between RA patients and healthy individuals are known to be involved in immunoinflammatory responses, especially those related to altered phagocytic functions. (C) 2004 Elsevier B.V. All rights reserved.

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