Title |
Direct RIG‐I activation in human NK cells induces TRAIL‐dependent cytotoxicity toward autologous melanoma cells
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Published in |
International Journal of Cancer, January 2019
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DOI | 10.1002/ijc.31874 |
Pubmed ID | |
Authors |
Juliane Daßler‐Plenker, Annette Paschen, Bastian Putschli, Stephanie Rattay, Saskia Schmitz, Marion Goldeck, Eva Bartok, Gunther Hartmann, Christoph Coch |
Abstract |
Activation of the innate immune receptor retinoic acid-inducible gene I (RIG-I) by its specific ligand 5'-triphosphate RNA (3pRNA) triggers anti-tumor immunity, which is dependent on natural killer (NK) cell activation and cytokine induction. However, to date, RIG-I expression and the functional consequences of RIG-I activation in NK cells have not been examined. Here, we show for the first time the expression of RIG-I in human NK cells and their activation upon RIG-I ligand (3pRNA) transfection. 3pRNA-activated NK cells killed melanoma cells more efficiently than NK cells activated by type I interferon. Stimulation of RIG-I in NK cells specifically increased the surface expression of membrane-bound TNF-related apoptosis-inducing ligand (TRAIL) on NK cells, while activated NK cell receptors were not affected. RIG-I-induced membrane-bound TRAIL initiated death-receptor-pathway-mediated apoptosis not only in allogeneic but also in autologous human leukocyte antigen (HLA) class I-positive and HLA class I-negative melanoma cells. These results identify the direct activation of RIG-I in NK cells as a novel mechanism for how RIG-I can trigger enhanced NK cell killing of tumor cells, underscoring the potential of RIG-I activation for tumor immunotherapy. This article is protected by copyright. All rights reserved. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 25% |
Russia | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 88% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 21% |
Student > Doctoral Student | 2 | 7% |
Researcher | 2 | 7% |
Student > Master | 2 | 7% |
Student > Bachelor | 1 | 3% |
Other | 2 | 7% |
Unknown | 14 | 48% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 6 | 21% |
Immunology and Microbiology | 4 | 14% |
Medicine and Dentistry | 3 | 10% |
Agricultural and Biological Sciences | 1 | 3% |
Unspecified | 1 | 3% |
Other | 0 | 0% |
Unknown | 14 | 48% |