ArticleSensors (Basel, Switzerland)2019
Application of ECIS to Assess FCCP-Induced Changes of MSC Micromotion and Wound Healing Migration.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Application of ECIS to Evaluate the Effects of Porcine Urinary Bladder Matrix Hydrogels on Caco-2 Cell Attachment, Migration, and Barrier Formation.Gels (Basel, Switzerland) · 2026Article
- A human liver organoid platform for hepatotoxicity assessment: evaluation using reference compounds.Frontiers in toxicology · 2026Article
- Impedance mapping with high-density microelectrode array chips reveals dynamic heterogeneity of in vitro epithelial barriers.Scientific reports · 2025Article
- Electric Cell-Substrate Impedance Sensing as a Tool to Characterize Wound Healing Dynamics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Influenza H7N9 virus disrupts the monolayer human brain microvascular endothelial cells barrier in vitro.Virology journal · 2023Article
- Odorant Binding Causes Cytoskeletal Rearrangement, Leading to Detectable Changes in Endothelial and Epithelial Barrier Function and Micromotion.Biosensors · 2023Article
- Mesenchymal stem cell-mediated transfer of mitochondria: mechanisms and functional impact.Cellular and molecular life sciences : CMLS · 2022Review
- Detecting Effects of Low Levels of FCCP on Stem Cell Micromotion and Wound-Healing Migration by Time-Series Capacitance Measurement.Sensors (Basel, Switzerland) · 2021Article
- Use of Discrete Wavelet Transform to Assess Impedance Fluctuations Obtained from Cellular Micromotion.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Electric cell-substrate impedance sensing (ECIS) is an emerging technique for sensitively monitoring morphological changes of adherent cells in tissue culture. In this study, human mesenchymal stem cells (hMSCs) were exposed to different concentrations of carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone (FCCP) for 20 h and their subsequent concentration-dependent responses in micromotion and wound healing migration were measured by ECIS. FCCP disrupts ATP synthesis and results in a decrease in cell migration rates. To detect the change of cell micromotion in response to FCCP challenge, time-series resistances of cell-covered electrodes were monitored and the values of variance were calculated to verify the difference. While Seahorse XF-24 extracellular flux analyzer can detect the effect of FCCP at 3 μM concentration, the variance calculation of the time-series resistances measured at 4 kHz can detect the effect of FCCP at concentrations as low as 1 μM. For wound healing migration, the recovery resistance curves were fitted by sigmoid curve and the hill slope showed a concentration-dependent decline from 0.3 μM to 3 μM, indicating a decrease in cell migration rate. Moreover, dose dependent incline of the inflection points from 0.3 μM to 3 μM FCCP implied the increase of the half time for wound recovery migration. Together, our results demonstrate that partial uncoupling of mitochondrial oxidative phosphorylation reduces micromotion and wound healing migration of hMSCs. The ECIS method used in this study offers a simple and sensitive approach to investigate stem cell migration and its regulation by mitochondrial dynamics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.