Modelling and Differential Quantification of Electric Cell-Substrate Impedance Sensing Growth Curves.
Modelling and Differential Quantification of Electric Cell-Substrate Impedance Sensing Growth Curves.
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DOI：
10.3390/s21165286
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发表时间：
2021-08-05
期刊：
影响因子：
--
通讯作者：
Pfaffl MW
中科院分区：
文献类型：
--
作者：
Binder ARD;Spiess AN;Pfaffl MW
细胞表面覆盖度的测量已经成为评估细胞生长行为的常用技术。作为一种间接测量方法，这可以通过监测电极阻抗的变化来实现，这构成了电细胞-基质阻抗感测（ECIS）的基础。ECIS通常产生生长曲线，其中阻抗相对于时间作图，并且可以显示单细胞生长行为或细胞增殖的变化，而不会显著影响细胞生理学。为了在不同的实验设置中提供ECIS曲线的更好的可比性，我们开发了一个大型的R脚本工具集，用于它们的转换和量化。它们允许导入ECIS系统生成的生长曲线，编辑，转换，绘制和分析它们，同时提供从曲线上的参考点提取的定量数据。通过三种不同的曲线拟合算法（平滑样条、逻辑模型、分段回归）进行定量。从所获得的模型，曲线参考点，如一阶导数最大值，分割节点和曲线下的面积，然后提取。测试脚本在部分匿名细胞系的真实细胞培养实验中的一般适用性，校准设置具有阻抗与接种细胞数量的细胞稀释系列，最后用1%和5%乙醇处理IPEC-J2细胞。
Measurement of cell surface coverage has become a common technique for the assessment of growth behavior of cells. As an indirect measurement method, this can be accomplished by monitoring changes in electrode impedance, which constitutes the basis of electric cell-substrate impedance sensing (ECIS). ECIS typically yields growth curves where impedance is plotted against time, and changes in single cell growth behavior or cell proliferation can be displayed without significantly impacting cell physiology. To provide better comparability of ECIS curves in different experimental settings, we developed a large toolset of R scripts for their transformation and quantification. They allow importing growth curves generated by ECIS systems, edit, transform, graph and analyze them while delivering quantitative data extracted from reference points on the curve. Quantification is implemented through three different curve fit algorithms (smoothing spline, logistic model, segmented regression). From the obtained models, curve reference points such as the first derivative maximum, segmentation knots and area under the curve are then extracted. The scripts were tested for general applicability in real-life cell culture experiments on partly anonymized cell lines, a calibration setup with a cell dilution series of impedance versus seeded cell number and finally IPEC-J2 cells treated with 1% and 5% ethanol.
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DOI：
10.1152/ajpendo.00075.2015
发表时间：
2015-06-01
影响因子：
5.1
作者：
Gericke, Martin;Weyer, Ulrike;Eilers, Jens
通讯作者：
Eilers, Jens
影响因子：
3.9
作者：
Garcia, Elvira;Perez, Pablo;Yufera, Alberto
通讯作者：
Yufera, Alberto
DOI：
10.4196/kjpp.2012.16.3.153
发表时间：
2012-06
期刊：
The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology
影响因子：
--
作者：
Le TD;Do TA;Yu R;Yoo H
通讯作者：
Yoo H
影响因子：
--
作者：
Bacher, M. G.;Fenton, O.;Schmidt, O.
通讯作者：
Schmidt, O.
影响因子：
5.5
作者：
Bruelheide, H;Scheidel, U
通讯作者：
Scheidel, U