Literature DB >> 30259960

Taste receptor T1R1/T1R3 promotes the tumoricidal activity of hepatic CD49a+ CD49b- natural killer cells.

Shaoping Liu1, Min Xu2, Chengliang Zhu3, Qiu Zhao4, Feng Zhou4.   

Abstract

Natural Killer (NK) cell-based immunotherapy is a promising approach to treat hepatocellular carcinoma (HCC). The mechanisms underlying the regulation of NK cell activity are not completely understood. In this research, we identified the expression of taste receptor type 1 member 1 (T1R1) and taste receptor type 1 member 3 (T1R3) in a subset of hepatic NK cells in a mouse HCC model. T1R1 and T1R3 were selectively expressed in CD49a+ CD49b- NK cells in livers with HCC. In the in vitro cytotoxicity assay, amino acids promoted the tumoricidal effect of CD49a+ CD49b- NK cells through increasing the production of perforin, granzyme B and IFN-γ. Furthermore, using a lentivirus to induce the expression of exogenous T1R1 and T1R3 in normal hepatic NK cells, we found that amino acids enhanced NK cell-mediated cytotoxicity on tumor cells through the T1R1/T1R3 receptor, as demonstrated by more tumor cell lysis, up-regulation of perforin and granzyme B in comparison with control NK cells. In addition, amino acids activated Akt and mechanistic target of rapamycin complex 1 (mTORC1) signaling in NK cells through T1R1/T1R3 receptor. T-bet expression in NK cells was also increased by amino acid treatment. Therefore, T1R1/T1R3 receptor promotes the tumoricidal activity of hepatic CD49a+ CD49b- NK cells.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Anti-tumor immunity; Cancer immunotherapy; Hepatocellular carcinoma; Natural Killer (NK) cells; Taste receptor T1R1/T1R3

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Substances:

Year:  2018        PMID: 30259960     DOI: 10.1002/eji.201847688

Source DB:  PubMed          Journal:  Eur J Immunol        ISSN: 0014-2980            Impact factor:   5.532


  2 in total

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Authors:  Shayla S Shojaat; Samuel Engman; Jason Hofferber; Faithe Keomanivong; Eric M Wauson
Journal:  J Physiol Biochem       Date:  2020-10-09       Impact factor: 4.158

2.  Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data.

Authors:  Pelin Gundogdu; Carlos Loucera; Inmaculada Alamo-Alvarez; Joaquin Dopazo; Isabel Nepomuceno
Journal:  BioData Min       Date:  2022-01-03       Impact factor: 2.522

  2 in total

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