Recombinant Cytosolic Ovarian Carcinoma Antigen 1 (COVA1)
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Catalog number
RPU52414
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Price
Please ask
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Size
10 μg
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Verified reactivity
Mus musculus (Mouse)
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Protein number
Q8R0Z2
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Gene name
Please refer to GenBank
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Other name
APK1; tNOX; ENOX2; Ecto-NOX Disulfide-Thiol Exchanger 2; Tumor-associated hydroquinone oxidase; Hydroquinone [NADH] oxidase; Protein disulfide-thiol oxidoreductase
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Protein origin
E.coli
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Protein region
Please contact us.
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Protein sequence
Please contact us.
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Information about sequence
Met1~Met207
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Expected molecular weight
26,8kDa
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Protein purity
≥ 95%
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Verified applications
SDS-PAGE; WB; ELISA; IP.
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Storage recommendation
Aliquot and store at -20°C. Minimize freezing and thawing.
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Use before
1 year
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Shipping requirements
Blue ice
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Estimated production time
7-11 business days
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Notes
For research use only. Not for diagnostic procedures.
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Description
Antigens are peptides or recombinant or native dependent on the production method.
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Source
Recombinants or rec. proteins
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Group
recombinants
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Gene target
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Gene symbol
ENOX2
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Short name
Recombinant Cytosolic Ovarian Carcinoma Antigen 1 (COVA1)
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Technique
Recombinant, antigen, antigenes, E. coli recombinant proteins are genetic recombinations in Escherichia coli, supplied as white sterile powder lyopillized. bioma advises they will be reconstituted in a buffer soluion or culture medium for cell culture.
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Label
two N-terminal Tags, His-tag and T7-tag
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Alternative name
Rec. Cytosolic Ovarian Carcinoma protein 1 (COVA1)
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Alternative technique
rec, antigenes
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Tissue
carcinoma, ovarian
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Gene info
MeSH Data
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Name
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Concept
Scope note:
An in vitro allergen radioimmunoassay in which allergens are coupled to an immunosorbent. The coupled allergens bind the IgE in the sera of patients which in turn binds radioisotope-labeled anti-IMMUNOGLOBULIN E antibodies.
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Tree numbers
- E01.370.225.812.735.830
- E05.200.812.735.830
- E05.478.566.380.810
- E05.478.566.639.810
- E05.478.594.760.830
- E05.601.470.380.810
- E05.601.470.639.810
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Qualifiers
ethics, mortality, psychology, trends, veterinary, history, classification, economics, instrumentation, methods, nursing, standards, adverse effects, statistics & numerical data
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