ヤマウチ アキラ
Akira Yamauchi
山内 明 所属 川崎医科大学 医学部 基礎医学 生化学 職種 教授 |
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論文種別 | 原著 |
言語種別 | 英語 |
査読の有無 | 査読あり |
表題 | Evaluation of pancreatic cancer cell migration with multiple parameters in vitro by using an optical real-time cell mobility assay device |
掲載誌名 | 正式名:BMC Cancer 略 称:BMC Cancer ISSNコード:1471-2407 |
出版社 | Springer Nature |
巻・号・頁 | 17(234),pp.1-11 |
著者・共著者 | Akira Yamauchi, Masahiro Yamamura, Naoki Katase, Masumi Itadani, Naoko Okada, Kayoko Kobiki, Masafumi Nakamura, Yoshiyuki Yamaguchi and Futoshi Kuribayashi |
担当区分 | 筆頭著者,責任著者 |
発行年月 | 2017/03 |
概要 | Background:Migration of cancer cell correlates with distant metastasis and local invasion, which are good targets for cancer treatment. An optically accessible device TAXIScan was developed, which provides considerably more information regarding the cellular dynamics and less quantity of samples than do the existing methods. Here, we report the establishment of a system to analyze the nature of pancreatic cancer cells using TAXIScan and we evaluated lysophosphatidic acid (LPA)-elicited pancreatic cell migration.
Results:Scaffold coating was necessary for the adhesion of pancreatic cancer cells, and collagen I and Matrigel were found to be good scaffolds. BxPC3 and PANC-1 cells clearly migrated towards the concentration gradient formed by injecting 1 uL LPA, which was abrogated by pre-treatment with LPA inhibitor, Ki16425 (IC50 for the directionality = 1.86 uM). The LPA dependent migration was further confirmed by mRNA and protein expression of LPA receptors as well as phosphorylation of signaling molecules. LPA1 mRNA was highest among the 6 receptors, and LPA1, LPA2 and LPA3 proteins were detected in BxPC3 and PANC-1 cells. Phosphorylation of Akt (Thr308 and Ser473) and p42/44MAPK in BxPC3 and PANC-1 cells was observed after LPA stimulation, which was clearly inhibited by pre-treatment with a compound Ki16425. Conclusions:This assay device provides multiple information on migrating cells simultaneously, such as their morphology, directionality, and velocity, with a small volume of sample and can be a powerful tool for analyzing the nature of cancer cells and for identifying new factors that affect cell functions. |
DOI | 10.1186/s12885-017-3218-4 |