Nanba Daisuke, Toki Fujio, Tate Sota, Imai Matome, Matsushita Natsuki, Shiraishi Ken, Sayama Koji, Toki Hiroshi, Higashiyama Shigeki, Barrandon Yann
Division of Cell Growth and Tumor Regulation, Proteo-Science Center; Department of Biochemistry and Molecular Genetics and Department of Dermatology, Graduate School of Medicine; and Translational Research Center, Ehime University Hospital, Ehime University, Toon, Ehime 791-0295, Japan Division of Cell Growth and Tumor Regulation, Proteo-Science Center; Department of Biochemistry and Molecular Genetics and Department of Dermatology, Graduate School of Medicine; and Translational Research Center, Ehime University Hospital, Ehime University, Toon, Ehime 791-0295, Japan
Division of Cell Growth and Tumor Regulation, Proteo-Science Center; Department of Biochemistry and Molecular Genetics and Department of Dermatology, Graduate School of Medicine; and Translational Research Center, Ehime University Hospital, Ehime University, Toon, Ehime 791-0295, Japan.
J Cell Biol. 2015 Apr 27;209(2):305-15. doi: 10.1083/jcb.201409024. Epub 2015 Apr 20.
Image-based identification of cultured stem cells and noninvasive evaluation of their proliferative capacity advance cell therapy and stem cell research. Here we demonstrate that human keratinocyte stem cells can be identified in situ by analyzing cell motion during their cultivation. Modeling experiments suggested that the clonal type of cultured human clonogenic keratinocytes can be efficiently determined by analysis of early cell movement. Image analysis experiments demonstrated that keratinocyte stem cells indeed display a unique rotational movement that can be identified as early as the two-cell stage colony. We also demonstrate that α6 integrin is required for both rotational and collective cell motion. Our experiments provide, for the first time, strong evidence that cell motion and epidermal stemness are linked. We conclude that early identification of human keratinocyte stem cells by image analysis of cell movement is a valid parameter for quality control of cultured keratinocytes for transplantation.
基于图像的培养干细胞识别及其增殖能力的无创评估推动了细胞治疗和干细胞研究。在此,我们证明通过分析人角质形成干细胞培养过程中的细胞运动可以对其进行原位识别。建模实验表明,通过分析早期细胞运动能够有效地确定培养的人克隆性角质形成细胞的克隆类型。图像分析实验表明,角质形成干细胞确实表现出独特的旋转运动,这种运动早在双细胞期集落时就能被识别。我们还证明α6整合素是旋转运动和集体细胞运动所必需的。我们的实验首次提供了有力证据,证明细胞运动与表皮干性相关。我们得出结论,通过对细胞运动进行图像分析来早期识别人类角质形成干细胞,是用于移植的培养角质形成细胞质量控制的一个有效参数。