Douglas Temple Anne, Alinezhadbalalami Nastaran, Balani Nikita, Schmelz Eva M, Davalos Rafael V
School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, Blacksburg, Virginia.
Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, Virginia.
Bioelectricity. 2019 Mar 1;1(1):49-55. doi: 10.1089/bioe.2018.0004. Epub 2019 Mar 18.
This study presents a label-free method of separating macrophages and fibroblasts, cell types critically associated with tumors. Contactless dielectrophoresis (DEP) devices were used to separate fibroblasts from macrophages by selectively trapping one population. An ImageJ macro was developed to determine the percentage of each population moving or stationary at a given point in time in a video. At 350V, 20 kHz, and 1.25 μL/min, more than 90% of fibroblasts were trapped while less than 20% of macrophages were trapped. Contactless DEP was used to study macrophage and fibroblast separation as a proof-of-concept study for separating cells in the tumor microenvironment. The associated ImageJ macro could be used in other microfluidic cell separation studies.
本研究提出了一种无标记方法,用于分离巨噬细胞和成纤维细胞,这两种细胞类型与肿瘤密切相关。采用非接触式介电泳(DEP)装置,通过选择性捕获其中一种细胞群体,将成纤维细胞与巨噬细胞分离。开发了一个ImageJ宏程序,用于确定视频中给定时间点每个细胞群体移动或静止的百分比。在350V、20kHz和1.25μL/min的条件下,超过90%的成纤维细胞被捕获,而被捕获的巨噬细胞不到20%。非接触式DEP被用于研究巨噬细胞和成纤维细胞的分离,作为肿瘤微环境中细胞分离的概念验证研究。相关的ImageJ宏程序可用于其他微流控细胞分离研究。