ArticleScientific reports2021
Time-resolved non-invasive metabolomic monitoring of a single cancer spheroid by microfluidic NMR.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- Hyperpolarised magnetic resonance spectroscopy with lab-on-a-chip disease models.Disease models & mechanisms · 2026Review
- Live Metabolomics with NMR.Analytical chemistry · 2026Review
- 2D versus 3D tumor-on-chip models to study the impact of tumor organization on metabolic patterns in vitro.Scientific reports · 2025Article
- Deep Learning-driven Microfluidic-SERS to Characterize the Heterogeneity in Exosomes for Classifying Non-Small Cell Lung Cancer Subtypes.ACS sensors · 2025Article
- Enzyme-Free In-Situ Electrochemical Measurement Using a Porous Membrane Electrode for Glucose Transport into Cell Spheroids.ACS sensors · 2024Article
- Efficient Parahydrogen-InducedJournal of the American Chemical Society · 2024Article
- Spheroids formation in large drops suspended in superhydrophobic paper cones.Biomicrofluidics · 2024Article
- Parallel detection of chemical reactions in a microfluidic platform using hyperpolarized nuclear magnetic resonance.Lab on a chip · 2023Article
- Non-Mass Spectrometric Targeted Single-Cell Metabolomics.Trends in analytical chemistry : TRAC · 2023Article
- NMR Metabolomics Methods for Investigating Disease.Analytical chemistry · 2023Review
- Metabolomics and modelling approaches for systems metabolic engineering.Metabolic engineering communications · 2022Review
- On the Relevance of Soft Tissue Sarcomas Metabolic Landscape Mapping.International journal of molecular sciences · 2022Review
- Direct Production of a Hyperpolarized Metabolite on a Microfluidic Chip.Analytical chemistry · 2022Article
- From cell spheroids to vascularized cancer organoids: Microfluidic tumor-on-a-chip models for preclinical drug evaluations.Biomicrofluidics · 2021Review
- Real-Time Non-Invasive and Direct Determination of Lactate Dehydrogenase Activity in Cerebral Organoids-A New Method to Characterize the Metabolism of Brain Organoids?Pharmaceuticals (Basel, Switzerland) · 2021Article
- NextGen Public Health Surveillance and the Internet of Things (IoT).Frontiers in public health · 2021Article
- Nuclear Magnetic Resonance Spectroscopy in Clinical Metabolomics and Personalized Medicine: Current Challenges and Perspectives.Frontiers in molecular biosciences · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a quantitative study of the metabolic activity of a single spheroid culture of human cancer cells. NMR (nuclear magnetic resonance) spectroscopy is an ideal tool for observation of live systems due to its non-invasive nature. However, limited sensitivity has so far hindered its application in microfluidic culture systems. We have used an optimised micro-NMR platform to observe metabolic changes from a single spheroid. NMR spectra were obtained by directly inserting microfluidic devices containing spheroids ranging from 150 [Formula: see text]m to 300 [Formula: see text]m in diameter in 2.5 [Formula: see text]L of culture medium into a dedicated NMR probe. Metabolite concentrations were found to change linearly with time, with rates approximately proportional to the number of cells in the spheroid. The results demonstrate that quantitative monitoring of a single spheroid with [Formula: see text] 2500 cells is possible. A change in spheroid size by 600 cells leads to a clearly detectable change in the L-Lactic acid production rate ([Formula: see text]). The consumption of D-Glucose and production of L-Lactic acid were approximately 2.5 times slower in spheroids compared to monolayer culture of the same number of cells. Moreover, while cells in monolayer culture were found to produce L-Alanine and L-Glutamine, spheroids showed slight consumption in both cases.
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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.