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Morphology-Based Analysis of Myoblasts for Prediction of Myotube Formation
http://hdl.handle.net/2237/00030226
http://hdl.handle.net/2237/0003022694d83c3a-83d9-4664-953c-c044d7f4e083
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-05-15 | |||||
タイトル | ||||||
タイトル | Morphology-Based Analysis of Myoblasts for Prediction of Myotube Formation | |||||
言語 | en | |||||
著者 |
Ishikawa, Kiyoshi
× Ishikawa, Kiyoshi× Yoshida, Kei× Kanie, Kei× Omori, Kenji× Kato, Ryuji |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
権利情報 | Ishikawa, K., Yoshida, K., Kanie, K., Omori, K., & Kato, R. (2019). Morphology-Based Analysis of Myoblasts for Prediction of Myotube Formation. SLAS DISCOVERY: Advancing Life Sciences R&D, 24(1), 47–56. https://doi.org/10.1177/2472555218793374. Copyright © [2019] (The Author(s)). DOI: [10.1177/2472555218793374]. | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | cellular morphology | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | morphology-based analysis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | myoblast differentiation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | cGMP | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The development of new drugs depends on the efficiency of drug screening. Phenotype-based screening has attracted interest due to its considerable potency for the discovery of first-in-class drugs. In general, fluorescently labeled imagery is the leading technique for phenotype-based screening; however, there are growing requirements to understand total culture profiles, which are unclear after end-point assays. In this study, we demonstrate that morphology-based cellular evaluation of unlabeled cells is an efficient approach to evaluate myotube formation assays. One of our aims was to study the myogenic differentiation process in C2C12 cells to discern the differences between cellular responses to different medium conditions (serum concentrations and insulin dosages). Our results show that predictive morphological profiles that strongly correlate with myogenic differentiation can be generated from myotube images, even in the confluent stage. The differentiation rate after 14 days can be quantitatively predicted with the highest accuracy by means of images taken on days 0–11.5. In addition, for the application of our morphology-based cellular evaluation, the effect of cyclic guanosine monophosphate (cGMP) on myogenic differentiation was analyzed. Our results show that the quantitated morphological profile from these images can be an effective descriptor for analysis of the myotube-recovering effect of cGMP. | |||||
言語 | en | |||||
出版者 | ||||||
出版者 | SAGE Publications | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1177/2472555218793374 | |||||
ISSN(print) | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 2472-5552 | |||||
書誌情報 |
en : SLAS DISCOVERY: Advancing Life Sciences R&D 巻 24, 号 1, p. 47-56, 発行日 2019-01-01 |
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著者版フラグ | ||||||
値 | author |