CytoSelect 96-Well In Vitro Tumor Sensitivity Assay (Soft Agar Colony Formation), Trial Size
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Catalog number
CBA-150-T
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Price
Please ask
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Size
24 reactions
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Type of the product
Set of reagents
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Product description
Traditionally, the soft agar colony formation assay has been used to monitor anchorage-independent growth. Cells proliferate for 3-4 weeks in a semisolid culture medium, followed by tedious manual counting of colonies. Our CytoSelect 96-Well In Vitro Tumor Sensitivity Assay provides a stringent, anchorage-independent model for chemosenstivity testing and screening of potential anticancer drugs. After just 6-8 days, cell colonies are quantified using a standard colorimetric microplate reader.
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Shipping conditions
The product CytoSelect 96-Well In Vitro Tumor Sensitivity Assay (Soft Agar Colony Formation), Trial Sizecan be shipped at ambient temperature without any risk for the quality and activity of the reagents.
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Storage conditions
Our specialists from Gentaur/Genrpice recommend to keep the product at four degrees Celsius to ensure the retention of the quality of the reagent until the exiration date.
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Tips
This product is manufactured for research purposes only and it is not intended to be used in clinical diagnostic procedures.
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Test
Cellular biology labs supplies other types of Assays as 1.
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Description
Colonies can be formed by stimulating factors or recombinant GM-CSF and CSFs activity expressed in Units compared to a standard.
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Gene target
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Short name
CytoSelect 96- In Vitro Tumor Sensitivity Assay (Soft Agar Colony Formation), Trial Size
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Technique
Assay, assays
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Host
Assay
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Alternative name
CytoSelect 96-Well In Vitro Tumor Sensitivity test (Soft media gelling agent Colony Formation), Trial Size
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Alternative technique
arrays
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Tissue
tumor
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MeSH Data
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Name
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Concept
Scope note:
Radioimmunoassay of proteins using antibody coupled to an immunosorbent.
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Tree numbers
- E05.478.566.380.830
- E05.478.566.639.830
- E05.601.470.380.830
- E05.601.470.639.830
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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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