ArticleStem cells translational medicine2017
Electrical Cell-Substrate Impedance Spectroscopy Can Monitor Age-Grouped Human Adipose Stem Cell Variability During Osteogenic Differentiation.
Article in Stem cells translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 41 citations in OpenAlex.
- Hybrid modeling of electroporation and impedance spectroscopy for label free characterization of stem cells.Scientific reports · 2026Article
- Impedance Sensing and Characterization of Single-Cell Migration in Channels with Selective Protein Coating.Biosensors · 2026Article
- Association between Donor Age and Osteogenic Potential of Human Adipose Stem Cells in Bone Tissue Engineering.Current issues in molecular biology · 2024Review
- Combining Electrostimulation with Impedance Sensing to Promote and Track Osteogenesis within a Titanium Implant.Biomedicines · 2023Article
- A non-invasive smart scaffold for bone repair and monitoring.Bioactive materials · 2023Article
- The evaluation of a multiphasic 3D-bioplotted scaffold seeded with adipose derived stem cells to repair osteochondral defects in a porcine model.Journal of biomedical materials research. Part B, Applied biomaterials · 2021Article
- Differentiation potential and mRNA profiles of human dedifferentiated adipose cells and adipose‑derived stem cells from young donors.Molecular medicine reports · 2021Article
- Use of Discrete Wavelet Transform to Assess Impedance Fluctuations Obtained from Cellular Micromotion.Sensors (Basel, Switzerland) · 2020Article
- Electrical Modeling of the Growth and Differentiation of Skeletal Myoblasts Cell Cultures for Tissue Engineering.Sensors (Basel, Switzerland) · 2020Article
- Integration of biological systems with electronic-mechanical assemblies.Acta biomaterialia · 2019Review
- 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
- The Effects of a Pulsed Electromagnetic Field on the Proliferation and Osteogenic Differentiation of Human Adipose-Derived Stem Cells.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
- Role of the protease corin in chondrogenic differentiation of human bone marrow-derived mesenchymal stem cells.Journal of tissue engineering and regenerative medicine · 2018Article
- Applications of Bioimpedance Measurement Techniques in Tissue Engineering.Journal of electrical bioimpedance · 2018Article
- Fabrication of Fine Electrodes on the Tip of Hypodermic Needle Using Photoresist Spray Coating and Flexible Photomask for Biomedical Applications.Journal of visualized experiments : JoVE · 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
6 authors at 2 institutions in 1 country.
Funding
Abstract
Human adipose stem cells (hASCs) are an attractive cell source for bone tissue engineering applications. However, a critical issue to be addressed before widespread hASC clinical translation is the dramatic variability in proliferative capacity and osteogenic potential among hASCs isolated from different donors. The goal of this study was to test our hypothesis that electrical cell-substrate impedance spectroscopy (ECIS) could track complex bioimpedance patterns of hASCs throughout proliferation and osteogenic differentiation to better understand and predict variability among hASC populations. Superlots composed of hASCs from young (aged 24-36 years), middle-aged (aged 48-55 years), and elderly (aged 60-81 years) donors were seeded on gold electrode arrays. Complex impedance measurements were taken throughout proliferation and osteogenic differentiation. During osteogenic differentiation, four impedance phases were identified: increase, primary stabilization, drop phase, and secondary stabilization. Matrix deposition was first observed 48-96 hours after the impedance maximum, indicating, for the first time, that ECIS can identify morphological changes that correspond to late-stage osteogenic differentiation. The impedance maximum was observed at day 10.0 in young, day 6.1 in middle-aged, and day 1.3 in elderly hASCs, suggesting that hASCs from younger donors require a longer time to differentiate than do hASCs from older donors, but young hASCs proliferated more and accreted more calcium long-term. This is the first study to use ECIS to predict osteogenic potential of multiple hASC populations and to show that donor age may temporally control onset of osteogenesis. These findings could be critical for development of patient-specific bone tissue engineering and regenerative medicine therapies. Stem Cells Translational Medicine 2017;6:502-511.
Indexed as
Identifiers
What OpenQuestion holds
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.