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IFN-γ Secretion Assay – Detection Kits

  • Ultra-sensitive: detection of a single cytokine-secreting cell in a million
  • Unique: analysis of viable cells at single-cell level
  • Ground-breaking: optional magnetic enrichment for multiparametric phenotyping of viable cells
Overview
The IFN-γ Secretion Assay was developed for the sensitive detection of human IFN-γ-secreting cells.
Details
Background information
IFN-γ (interferon-gamma) is predominantly secreted by activated CD8+ and CD4+ memory and effector T cells and by NK cells. It is mainly involved in the regulation of inflammatory immune responses. These TH1 types of immune mechanisms are effective against intracellular pathogens and tumors. IFN-γ-secreting T cells can also be involved in immunological disorders, such as autoimmune reactions.

Downstream applications
Virus-specific T cells were investigated after stimulation with peptides or proteins derived from influenza virus1, CMV2,3, EBV4,5,6, HIV5,7,8,9,10, HBV11, and ADV24.
Virus-specific T cells were expanded in vitro1,2,3,5,6,9 showing highly specific and very efficient killing of target cells and have been analyzed for TCR clonotypes8,10.
The IFN-γ Secretion Assay was used for the isolation and analysis of antigen-specific T cells from PBMCs after stimulation with Tetanus Toxoid1, minor histocompatibility antigens, and tumor antigens12,13,14,15. The assay was also used to purify and analyze tumor-specific T cells from T cell lines13,14, for the isolation of functional antigen-specific, IFN-γ-secreting T cells reacting to other tumor antigens, e.g. SSX14, CEA16, or HER217 from PBMCs or TILs (tumor infiltrating lymphocytes)14,18.
The IFN-γ Secretion Assay was used to counterstain peptide-MHC-tetramer-labeled Melan A-specific CD8+ T cells to analyze functionality of the tetramer-positive cells.12,15
The IFN-γ Secretion Assay was also used for isolation and functional characterization of allergen-specific T cells.21 Furthermore, the IFN-γ Secretion Assay was used for epitopemapping of MHC class II peptides.19
IFN-γ-secreting human NK cells were isolated using the IFN-γ Secretion Assay.20 IFN-γ Secretion Assay reagents were reported to cross-react with chimpanzee cells22 but not with rhesus macaque cells.
The IFN-γ Secretion Assay can also be used for two-color cytokine analysis9 and allows counterstaining of peptide- MHC-tetramer-labeled cells 12,15. It can also be combined with flow cytometric proliferation assays 23.
Further information
Detection of cytokine-secreting cells from whole blood
[PDF; 70,5 KB]
Two-color Cytokine Secretion Assays
[PDF; 98,3 KB]
Combined staining of cytokine-secreting cells with peptide-MHC tetramers
[PDF; 101,8 KB]
Detection of cytokine-secreting cells
[PDF; 165,1 KB]
 
Figure 1
PBMCs of a CMV+ donor were stimulated for 16 hours with CMV lysate. The responding cells were stained and isolated according to secretion of IFN-γ using the IFN-γ Secretion Assay - Cell Enrichment and Detection Kit.
In the stimulated sample, 1292 IFN-γ-secreting CD4+ T cells were enriched per 106 CD4+ T cells using MS Columns and a MiniMACS™ Separator. In the unstimulated control sample, no IFN-γ-secreting CD4+ T cell were enriched per 106 CD4+ T cells.
Stimulated sample
A: Before enrichment
B: After enrichment
Unstimulated control
C: Before enrichment
D: After enrichment
* Percentage represents frequency among CD4+ T cells.
** Percentage represents frequency among enriched cells.
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Products
IFN-γ Secretion Assay – Detection Kit (PE), human
- for 100 tests with 106 total cells
Download datasheet
130-054-202
Qty.:
 

IFN-γ Secretion Assay – Detection Kit (FITC), human
- for 100 tests with 106 total cells
Download datasheet
130-090-433
Qty.:
 

IFN-γ Secretion Assay – Detection Kit (APC), human
- for 100 tests with 106 total cells
Download datasheet
130-090-762
Qty.:
 

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References
1. Brosterhus et al. (1999) Eur. J. Immunol. 29: 4053-4059.
2. Bissinger et al. (2002) Exp.Hematol. 30: 1178-1184.
3. Bitmansour et al. (2002) J. Immonol.169: 1207-1218.
4. Bickham et al. (2001) J. Clin. Invest. 107: 121-130.
5. Cohen et al. (2002) Virology 304: 474-484.
6. Koehne et al. (2002) Blood 99: 1730-1740.
7. Altfeld et al. (2001) J. Immunol. 167: 2743-2752.
8. Douek et al. (2002) Nature 417: 95-98.
9. Lichterfeld et al. (2004) Blood 104: 487-494.
10. Lee et al. (2002) J. Clin. Invest. 110: 1339-1347.
11. Desombre et al. (2003) J. Immunol. Meth. 286: 167-185.
12. Meidenbauer et al. (2003) J. Immunol. 170: 2161-2169.
13. Oelke et al. (2000) Clin. Cancer Res. 6: 1997-2005.
14. Ayyoub et al. (2004) J. Clin. Invest. 113: 1225-1233.
15. Pittet et al. (2001) J. Immunol. 166: 7634-7640.
16. Maerten et al. (2002) Cancer Immunol. Immunother. 51: 25-32.
17. Meyer zu Büschenfelde et al. (2001) J. Immunol. 167: 1712-1719.
18. Becker et al. (2001) Nature Med. 7: 1159-1162.
19. Novak et al. (2001) J. Immunol. 166: 6665-6670.
20. Deniz et al. (2002) Eur. J. Immunol. 32: 879-884.
21. Akdis et al. (2004) J. Exp. Med. 199: 1567-1575.
22. Meyer-Olson et al. (2003) J. Immunol. 170: 4161-4169.
23. Gutzmer et al. (2003) J. Immunol. 171: 6363-6371.
24. Feuchtinger et al. (2004) Exp. Hematol. 32: 282-289.
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