Cell-to-cell influence on growth in large populations
Cell-to-cell influence on growth in large populations
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DOI：
10.1364/boe.10.004664
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发表时间：
2019-09-01
影响因子：
3.4
通讯作者：
Popescu, Gabriel
中科院分区：
文献类型：
--
作者：
Kandel, Mikhail E.;Lu, Wenlong;Popescu, Gabriel
最近的研究揭示了异常细胞在复杂细胞系统中的重要性。量化这些系统中的异质性可能会导致更好地理解器官工程，微肿瘤生长和疾病模型，以及更精确的药物设计。我们利用定量相位成像的能力对细胞生长进行长期成像，以估计细胞簇对其邻居的“影响”。我们通过分析几天内成像的上皮细胞和成纤维细胞培养物来验证我们的方法。有趣的是，我们发现有大量的细胞的特征在于它们的生长速率和距离之间的中等相关性（皮尔逊系数的模数在0.25-.5之间）。此外，我们发现一小部分细胞表现出强烈的这种相关性，我们将其标记为“影响者”细胞簇。我们的方法可能会发现重要的应用在研究动态现象，如器官发生和转移。(C)根据OSA开放获取出版协议的条款，2019年美国光学学会
Recent studies have revealed the importance of outlier cells in complex cellular systems. Quantifying heterogeneity in such systems may lead to a better understanding of organ engineering, microtumor growth, and disease models, as well as more precise drug design. We used the ability of quantitative phase imaging to perform long-term imaging of cell growth to estimate the "influence" of cellular clusters on their neighbors. We validated our approach by analyzing epithelial and fibroblast cultures imaged over the course of several days. Interestingly, we found that there is a significant number of cells characterized by a medium correlation between their growth rate and distance (modulus of the Pearson coefficient between 0.25-.5). Furthermore, we found a small percentage of cells exhibiting strong such correlations, which we label as "influencer" cellular clusters. Our approach might find important applications in studying dynamic phenomena, such as organogenesis and metastasis. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement