Human IFN gamma kit
No-wash kit to quantify released Human IFN gamma
The HTRF Mouse IFN gamma kit is designed for the quantification of mouse IFN gamma released in cell supernatant.
IFN gamma is a pro-inflammatory cytokine secreted by T and NK cells in response to viral infection and other inflammatory conditions. IFN gamma plays a major role in innate and adaptive immunity by promoting T cell differentiation into TH1 and the development of Treg, but also by inhibiting T cell differentiation into TH17. Its anti-tumor properties have been used in the treatment of osteoporosis and it is of great interest in immuno-oncology, where it improves survival in patients with bladder or ovarian carcinoma.
Assessment of serum samples often requires enhanced sensitivity. In some cases, AlphaLISA assays may have sufficient sensitivity to enable the detection of low levels of analytes in serum or plasma. Check out the Mouse IFN-γ AlphaLISA kit’s analytical performances for more information or learn more about AlphaLISA. When assaying, always follow the recommended protocol and avoid highly haemolyzed samples.
The 4 Parameter Logistic (4PL) curve is commonly recommended for fitting an ELISA standard curve. This regression enables the accurate measurement of an unknown sample across a wider range of concentrations than linear analysis, making it ideally suited to the analysis of biological systems like cytokine releases.
To fully understand how to deal with HTRF data processing and also 4PL 1/y² fitting, please visit this page.
Cisbio has also worked with Myassays.com to help you in your data analysis. By clicking on this link, you’ll be able to access a free online software to run your IFN gamma analysis.
|Sample size||16 µL|
|Final assay volume||20 µL|
|Kit components||Lyophilized standard, frozen detection antibodies, buffers &protocol.|
|LOD &LOQ (in Diluent)||23 pg/mL &34 pg/mL|
|Range||34 3,000 pg/mL|
|Time to result||2h at RT|
|Sample||Mean [IFNg] (pg/mL)||CV|
Each of the 3 samples was measured 24 times, and % CV was calculated for each sample.
|Sample||[IFNg] (pg/mL)||Mean (delta R)||CV|
Each of the samples was measured in 4 different experiments, and % CV was calculated for each sample.
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