ArticleBiosensors & bioelectronics2015
Real-time quantitative monitoring of hiPSC-based model of macular degeneration on Electric Cell-substrate Impedance Sensing microelectrodes.
Article in Biosensors & bioelectronics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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Who cites it
14 citing papers in PubMed, 39 citations in OpenAlex.
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- Detecting Effects of Low Levels of FCCP on Stem Cell Micromotion and Wound-Healing Migration by Time-Series Capacitance Measurement.Sensors (Basel, Switzerland) · 2021Article
- Detection and validation of novel mutations in MERTK in a simplex case of retinal degeneration using WGS and hiPSC-RPEs model.Human mutation · 2021Article
- Potential antitumor activity of digitoxin and user-designed analog administered to human lung cancer cells.Biochimica et biophysica acta. General subjects · 2020Article
- Apigenin and Ethaverine Hydrochloride Enhance Retinal Vascular Barrier In Vitro and In Vivo.Translational vision science & technology · 2020Article
- Application of ECIS to Assess FCCP-Induced Changes of MSC Micromotion and Wound Healing Migration.Sensors (Basel, Switzerland) · 2019Article
- In Vitro Wounding Models Using the Electric Cell-Substrate Impedance Sensing (ECIS)-Zθ Technology.Biosensors · 2018Article
- Label-free and real-time monitoring of human mesenchymal stem cell differentiation in 2D and 3D cell culture systems using impedance cell sensors.RSC advances · 2018Article
- Impedance-based cellular assays for regenerative medicine.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Engineering and monitoring cellular barrier models.Journal of biological engineering · 2018Review
- Biosynthesis of magnetic nanoparticles by human mesenchymal stem cells following transfection with the magnetotactic bacterial gene mms6.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Age-related macular degeneration (AMD) is the leading cause of blindness in the developed world. Humanized disease models are required to develop new therapies for currently incurable forms of AMD. In this work, a tissue-on-a-chip approach was developed through combining human induced pluripotent stem cells, Electric Cell-substrate Impedance Sensing (ECIS) and reproducible electrical wounding assays to model and quantitatively study AMD. Retinal Pigment Epithelium (RPE) cells generated from a patient with an inherited macular degeneration and from an unaffected sibling were used to test the model platform on which a reproducible electrical wounding assay was conducted to model RPE damage. First, a robust and reproducible real-time quantitative monitoring over a 25-day period demonstrated the establishment and maturation of RPE layers on the microelectrode arrays. A spatially controlled RPE layer damage that mimicked cell loss in AMD disease was then initiated. Post recovery, significant differences (P < 0.01) in migration rates were found between case (8.6 ± 0.46 μm/h) and control cell lines (10.69 ± 0.21 μm/h). Quantitative data analysis suggested this was achieved due to lower cell-substrate adhesion in the control cell line. The ECIS cell-substrate adhesion parameter (α) was found to be 7.8 ± 0.28 Ω(1/2)cm for the case cell line and 6.5 ± 0.15 Ω(1/2)cm for the control. These findings were confirmed using cell adhesion biochemical assays. The developed disease model-on-a-chip is a powerful platform for translational studies with considerable potential to investigate novel therapies by enabling real-time, quantitative and reproducible patient-specific RPE cell repair studies.
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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.