Literature DB >> 26299929

Development of a screening method to identify regulators of MICA shedding.

Takahiro Kishikawa1, Motoyuki Otsuka2, Motoko Ohno1, Takeshi Yoshikawa1, Masaya Sato1, Kazuhiko Koike1.   

Abstract

Immune cells, such as natural killer (NK) cells, recognize virally infected and transformed cells, and eliminate them through the interaction between NKG2D receptors on NK cells and NKG2D ligands on pathogenic cells. Shedding of NKG2D ligands is thought to be a type of counter-mechanism employed by pathogenic cells to evade from NKG2D-mediated immune surveillance. MHC class I polypeptide-related sequence A (MICA) is a prototypical NKG2D ligand. We previously reported that, in soluble form, MICA expression levels are significantly associated with hepatitis virus-induced hepatocellular carcinoma. Here, we report a MICA shedding assay that utilizes membrane-bound MICA tagged at its N-terminus with a nano-luciferase reporter to quantify MICA shedding into culture media. Using this method, we screened a compound library and identified putative regulators of MICA shedding that have the potential to enhance the immune reaction by simultaneously increasing cell surface MICA levels and decreasing soluble MICA levels. This shedding assay may be useful for screening regulators of cell surface molecule shedding.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Compound screening; MICA; Reporter; Shedding assay

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Year:  2015        PMID: 26299929     DOI: 10.1016/j.bbrc.2015.08.081

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  2 in total

Review 1.  Viral Evasion of Natural Killer Cell Activation.

Authors:  Yi Ma; Xiaojuan Li; Ersheng Kuang
Journal:  Viruses       Date:  2016-04-12       Impact factor: 5.048

2.  The fatty-acid amide hydrolase inhibitor URB597 inhibits MICA/B shedding.

Authors:  Kazuma Sekiba; Motoyuki Otsuka; Takahiro Seimiya; Eri Tanaka; Kazuyoshi Funato; Yu Miyakawa; Kazuhiko Koike
Journal:  Sci Rep       Date:  2020-09-23       Impact factor: 4.379

  2 in total

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