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Extracellularly Detectable Electrochemical Signals of Living Cells Originate from Metabolic Reactions. | LitMetric

AI Article Synopsis

  • Direct detection of cellular redox signals is emerging as a powerful tool for analyzing living cells, but the unknown origin of these signals limits its use in research.
  • This study identifies ATP-producing metabolic pathways as major sources of these detectable electrochemical signals, achieving high sensitivity with the tested method.
  • The authors demonstrate that combining differential pulse voltammetry (DPV) with metabolic activator cocktails (MACs) can effectively assess the impact of anticancer drugs and measure cellular senescence, revealing new insights into cellular functions through electrochemical methods.

Article Abstract

Direct detection of cellular redox signals has shown immense potential as a novel living cell analysis tool. However, the origin of such signals remains unknown, which hinders the widespread use of electrochemical methods for cellular research. In this study, the authors found that intracellular metabolic pathways that generate adenosine triphosphate (ATP) are the main contributors to extracellularly detectable electrochemical signals. This is achieved through the detection of living cells (4,706 cells/chip, linearity: 0.985) at a linear range of 7,466-48,866. Based on this discovery, the authors demonstrated that the cellular signals detected by differential pulse voltammetry (DPV) can be rapidly amplified with a developed medium containing metabolic activator cocktails (MACs). The DPV approach combined with MAC treatment shows a remarkable performance to detect the effects of the anticancer drug CPI-613 on cervical cancer both at a low drug concentration (2 µm) and an extremely short treatment time (1 hour). Furthermore, the senescence of mesenchymal stem cells could also be sensitively quantified using the DPV+MAC method even at a low passage number (P6). Collectively, their findings unveiled the origin of redox signals in living cells, which has important implications for the characterization of various cellular functions and behaviors using electrochemical approaches.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037963PMC
http://dx.doi.org/10.1002/advs.202207084DOI Listing

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