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一种基于形态学的检测平台,用于检测从人多能干细胞分化而来的神经上皮样细胞。

A morphology-based assay platform for neuroepithelial-like cells differentiated from human pluripotent stem cells.

作者信息

Suga Mika, Kii Hiroaki, Ueda Naoko, Liu Yu-Jung, Nakano Takako, Dan Tomoro, Uozumi Takayuki, Kiyota Yasujiro, Furue Miho K

机构信息

Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.

出版信息

Int J Dev Biol. 2018;62(9-10):613-621. doi: 10.1387/ijdb.180161mf.

Abstract

Cell morphology is recognized as an important hallmark of neural cells. During the differentiation of human pluripotent stem cells (hPSCs) into neural cells, cell morphology changes dynamically. Therefore, characterization of the morphology of cells during this period is important to improve our understanding of the differentiation and development of neural cells. General methods for the directed induction of hPSCs include the steps of multi-cellular aggregation or high-density cell culture, particularly at the early phase of neural differentiation, and therefore, the morphology of each differentiating cell is difficult to recognize. Here, we have developed a new method for the directed differentiation of neuroepithelial-like cells (NELCs) from hPSCs at a low cell density in an adherent monolayer culture, as well as an image-processing algorithm to evaluate the cell morphology of differentiating NELCs, in order to follow cell morphology during the differentiation of hPSCs into NELCs. Using these methods, the morphological transition of differentiating cells was observed in real time using phase contrast imaging and then quantified. Because cell morphology is also considered an inherent biological marker of neural cells cultured in vitro, this method is potentially useful to study the mechanisms underlying neural cell differentiation.

摘要

细胞形态被认为是神经细胞的一个重要标志。在人类多能干细胞(hPSC)向神经细胞分化的过程中,细胞形态会动态变化。因此,在此期间对细胞形态进行表征,对于增进我们对神经细胞分化和发育的理解很重要。hPSC定向诱导的常规方法包括多细胞聚集或高密度细胞培养步骤,特别是在神经分化的早期阶段,因此,每个分化细胞的形态很难识别。在此,我们开发了一种新方法,可在贴壁单层培养中以低细胞密度从hPSC定向分化出神经上皮样细胞(NELC),以及一种图像处理算法来评估分化中的NELC的细胞形态,以便在hPSC向NELC分化过程中跟踪细胞形态。使用这些方法,通过相差成像实时观察分化细胞的形态转变,然后进行量化。由于细胞形态也被认为是体外培养的神经细胞的一种内在生物学标记,该方法可能有助于研究神经细胞分化的潜在机制。

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