Electric Cell-Substrate Impedance Sensing

2008 ◽  
pp. 908-914
Author(s):  
Philippe Lam
Keyword(s):  
Impedance Sensing ◽  
Cell Substrate

scholarly journals Electric Cell-Substrate Impedance Sensing To Monitor Viral Growth and Study Cellular Responses to Infection with Alphaherpesviruses in Real Time

mSphere ◽  
2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Matthew R. Pennington ◽  
Gerlinde R. Van de Walle
Keyword(s):  
Real Time ◽  
Cellular Response ◽  
Cellular Responses ◽  
Cellular Damage ◽  
Impedance Sensing ◽  
Novel Technologies ◽  
Antiviral Therapies ◽  
Mucosal Surfaces ◽  
Cell Substrate ◽  
Hsv 1

ABSTRACT Alphaherpesviruses, including those that commonly infect humans, such as HSV-1 and HSV-2, typically infect and cause cellular damage to epithelial cells at mucosal surfaces, leading to disease. The development of novel technologies to study the cellular responses to infection may allow a more complete understanding of virus replication and the creation of novel antiviral therapies. This study demonstrates the use of ECIS to study various aspects of herpesvirus biology, with a specific focus on changes in cellular morphology as a result of infection. We conclude that ECIS represents a valuable new tool with which to study alphaherpesvirus infections in real time and in an objective and reproducible manner. Electric cell-substrate impedance sensing (ECIS) measures changes in an electrical circuit formed in a culture dish. As cells grow over a gold electrode, they block the flow of electricity and this is read as an increase in electrical impedance in the circuit. ECIS has previously been used in a variety of applications to study cell growth, migration, and behavior in response to stimuli in real time and without the need for cellular labels. Here, we demonstrate that ECIS is also a valuable tool with which to study infection by alphaherpesviruses. To this end, we used ECIS to study the kinetics of cells infected with felid herpesvirus type 1 (FHV-1), a close relative of the human alphaherpesviruses herpes simplex virus 1 (HSV-1) and HSV-2, and compared the results to those obtained with conventional infectivity assays. First, we demonstrated that ECIS can easily distinguish between wells of cells infected with different amounts of FHV-1 and provides information about the cellular response to infection. Second, we found ECIS useful in identifying differences between the replication kinetics of recombinant DsRed Express2-labeled FHV-1, created via CRISPR/Cas9 genome engineering, and wild-type FHV-1. Finally, we demonstrated that ECIS can accurately determine the half-maximal effective concentration of antivirals. Collectively, our data show that ECIS, in conjunction with current methodologies, is a powerful tool that can be used to monitor viral growth and study the cellular response to alphaherpesvirus infection. IMPORTANCE Alphaherpesviruses, including those that commonly infect humans, such as HSV-1 and HSV-2, typically infect and cause cellular damage to epithelial cells at mucosal surfaces, leading to disease. The development of novel technologies to study the cellular responses to infection may allow a more complete understanding of virus replication and the creation of novel antiviral therapies. This study demonstrates the use of ECIS to study various aspects of herpesvirus biology, with a specific focus on changes in cellular morphology as a result of infection. We conclude that ECIS represents a valuable new tool with which to study alphaherpesvirus infections in real time and in an objective and reproducible manner.

Electrical cell-substrate impedance sensing as a non-invasive tool for cancer cell study

The Analyst ◽  
2011 ◽  
Vol 136 (2) ◽  
pp. 237-245 ◽  
Author(s):  
Jongin Hong ◽  
Karthikeyan Kandasamy ◽  
Mohana Marimuthu ◽  
Cheol Soo Choi ◽  
Sanghyo Kim
Keyword(s):  
Cancer Cell ◽  
Impedance Sensing ◽  
Non Invasive ◽  
Cell Substrate ◽  
Cell Study

scholarly journals Comparison of Leading Biosensor Technologies to Detect Changes in Human Endothelial Barrier Properties in Response to Pro-Inflammatory TNFα and IL1β in Real-Time

Biosensors ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 159
Author(s):  
James J. W. Hucklesby ◽  
Akshata Anchan ◽  
Simon J. O'Carroll ◽  
Charles P. Unsworth ◽  
E. Scott Graham ◽  
...  
Keyword(s):  
Human Brain ◽  
Real Time ◽  
Barrier Properties ◽  
Endothelial Barrier ◽  
Endothelial Monolayer ◽  
Impedance Sensing ◽  
Endothelial Monolayers ◽  
Impedance Data ◽  
Cell Substrate ◽  
Limited Frequency

Electric Cell-Substrate Impedance Sensing (ECIS), xCELLigence and cellZscope are commercially available instruments that measure the impedance of cellular monolayers. Despite widespread use of these systems individually, direct comparisons between these platforms have not been published. To compare these instruments, the responses of human brain endothelial monolayers to TNFα and IL1β were measured on all three platforms simultaneously. All instruments detected transient changes in impedance in response to the cytokines, although the response magnitude varied, with ECIS being the most sensitive. ECIS and cellZscope were also able to attribute responses to particular endothelial barrier components by modelling the multifrequency impedance data acquired by these instruments; in contrast the limited frequency xCELLigence data cannot be modelled. Consistent with its superior impedance sensing, ECIS exhibited a greater capacity than cellZscope to distinguish between subtle changes in modelled endothelial monolayer properties. The reduced resolving ability of the cellZscope platform may be due to its electrode configuration, which is necessary to allow access to the basolateral compartment, an important advantage of this instrument. Collectively, this work demonstrates that instruments must be carefully selected to ensure they are appropriate for the experimental questions being asked when assessing endothelial barrier properties.

Electric cell–substrate impedance sensing technique to monitor cellular behaviours of cancer cells

RSC Advances ◽  
2014 ◽  
Vol 4 (19) ◽  
pp. 9432 ◽  
Author(s):  
Rangadhar Pradhan ◽  
Shashi Rajput ◽  
Mahitosh Mandal ◽  
Analava Mitra ◽  
Soumen Das
Keyword(s):  
Cancer Cells ◽  
Impedance Sensing ◽  
Cell Substrate

scholarly journals Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS)

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Megan L. Gelsinger ◽  
Laura L. Tupper ◽  
David S. Matteson
Keyword(s):  
Cell Line ◽  
Cell Lines ◽  
Mammalian Cells ◽  
Statistical Tests ◽  
Classification Methods ◽  
Impedance Sensing ◽  
Mammalian Cell Lines ◽  
Cell Substrate ◽  
Multiple Cell ◽  
Line Classification

AbstractWe present new methods for cell line classification using multivariate time series bioimpedance data obtained from electric cell-substrate impedance sensing (ECIS) technology. The ECIS technology, which monitors the attachment and spreading of mammalian cells in real time through the collection of electrical impedance data, has historically been used to study one cell line at a time. However, we show that if applied to data from multiple cell lines, ECIS can be used to classify unknown or potentially mislabeled cells, factors which have previously been associated with the reproducibility crisis in the biological literature. We assess a range of approaches to this new problem, testing different classification methods and deriving a dictionary of 29 features to characterize ECIS data. Most notably, our analysis enriches the current field by making use of simultaneous multi-frequency ECIS data, where previous studies have focused on only one frequency; using classification methods to distinguish multiple cell lines, rather than simple statistical tests that compare only two cell lines; and assessing a range of features derived from ECIS data based on their classification performance. In classification tests on fifteen mammalian cell lines, we obtain very high out-of-sample predictive accuracy. These preliminary findings provide a baseline for future large-scale studies in this field.

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