ArticlePloS one2016
Electric Cell-Substrate Impedance Sensing (ECIS) with Microelectrode Arrays for Investigation of Cancer Cell-Fibroblasts Interaction.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 47 citations in OpenAlex.
- Quantitative impedance-based characterization of breast cancer cell migration and metastatic potential.Journal of biological engineering · 2025Article
- High-Throughput 96-Well Nanogroove-Enhanced Electrical Impedance Biosensor for Real-Time Label-Free Cancer Drug Screening.Advanced healthcare materials · 2025Article
- Effective Capacitance from Equivalent Electrical Circuit as a Tool for Monitoring Non-Adherent Cell Suspensions at Low Frequencies.Bioengineering (Basel, Switzerland) · 2022Article
- Article
- Controlled Release of 18-β-Glycyrrhetinic Acid from Core-Shell Nanoparticles: Effects on Cytotoxicity and Intracellular Concentration in HepG2 Cell Line.Materials (Basel, Switzerland) · 2021Article
- In-Line Analysis of Organ-on-Chip Systems with Sensors: Integration, Fabrication, Challenges, and Potential.ACS biomaterials science & engineering · 2021Article
- The Measurement and Analysis of Impedance Response of HeLa Cells to Distinct Chemotherapy Drugs.Micromachines · 2021Article
- Real-Time Impedance Detection of Intra-Articular Space in a Porcine Model Using a Monopolar Injection Needle.Sensors (Basel, Switzerland) · 2020Article
- Post-enrichment circulating tumor cell detection and enumeration via deformability impedance cytometry.Biosensors & bioelectronics · 2020Article
- A microfluidic platform for drug screening in a 3D cancer microenvironment.Biosensors & bioelectronics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The tumor microenvironment, including stromal cells, surrounding blood vessels and extracellular matrix components, has been defined as a crucial factor that influences the proliferation, drug-resistance, invasion and metastasis of malignant epithelial cells. Among other factors, the communications and interaction between cancer cells and stromal cells have been reported to play pivotal roles in cancer promotion and progression. To investigate these relationships, an on-chip co-culture model was developed to study the cellular interaction between A549-human lung carcinoma cells and MRC-5-human lung epithelial cells in both normal proliferation and treatment conditions. In brief, a co-culture device consisting of 2 individual fluidic chambers in parallel, which were separated by a 100 μm fence was utilized for cell patterning. Microelectrodes arrays were installed within each chamber including electrodes at various distances away from the confrontation line for the electrochemical impedimetric sensing assessment of cell-to-cell influence. After the fence was removed and cell-to-cell contact occurred, by evaluating the impedance signal responses representing cell condition and behavior, both direct and indirect cell-to-cell interactions through conditioned media were investigated. The impact of specific distances that lead to different influences of fibroblast cells on cancer cells in the co-culture environment was also defined.
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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.