Galarza Sualyneth, Kim Hyuna, Atay Naciye, Peyton Shelly R, Munson Jennifer M
Department of Chemical Engineering University of Massachusetts Amherst Amherst Massachusetts.
Molecular and Cellular Biology Program University of Massachusetts Amherst Amherst Massachusetts.
Bioeng Transl Med. 2019 Dec 9;5(1):e10148. doi: 10.1002/btm2.10148. eCollection 2020 Jan.
Cell motility is a critical aspect of several processes, such as wound healing and immunity; however, it is dysregulated in cancer. Current limitations of imaging tools make it difficult to study cell migration . To overcome this, and to identify drivers from the microenvironment that regulate cell migration, bioengineers have developed 2D (two-dimensional) and 3D (three-dimensional) tissue model systems in which to study cell motility , with the aim of mimicking elements of the environments in which cells move . However, there has been no systematic study to explicitly relate and compare cell motility measurements between these geometries or systems. Here, we provide such analysis on our own data, as well as across data in existing literature to understand whether, and which, metrics are conserved across systems. To our surprise, only one metric of cell movement on 2D surfaces significantly and positively correlates with cell migration in 3D environments (percent migrating cells), and cell invasion in 3D has a weak, negative correlation with glioblastoma invasion . Finally, to compare across complex model systems, data, and data from different labs, we suggest that groups report an effect size, a statistical tool that is most translatable across experiments and labs, when conducting experiments that affect cellular motility.
细胞运动性是伤口愈合和免疫等多个过程的关键方面；然而，它在癌症中会失调。当前成像工具的局限性使得研究细胞迁移变得困难。为了克服这一问题，并识别来自微环境中调节细胞迁移的驱动因素，生物工程师们开发了二维（2D）和三维（3D）组织模型系统来研究细胞运动性，目的是模拟细胞移动所处环境的要素。然而，尚未有系统研究来明确关联和比较这些几何结构或系统之间的细胞运动性测量结果。在此，我们对自己的数据以及现有文献中的数据进行了此类分析，以了解哪些指标在各系统中是一致的，以及是否存在一致的指标。令我们惊讶的是，二维表面上细胞运动的指标中，只有一个与三维环境中的细胞迁移（迁移细胞百分比）显著正相关，并且三维中的细胞侵袭与胶质母细胞瘤侵袭呈弱负相关。最后，为了比较复杂的模型系统、数据以及来自不同实验室的数据，我们建议各研究团队在进行影响细胞运动性的实验时，报告效应大小，这是一种在不同实验和实验室之间最具可转移性的统计工具。
