Cellular Sensing and Precision Medicine

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: 25 August 2025 | Viewed by 1205

Special Issue Editors

School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: cell sensing; micro-nano sensor chip; micro-system; POCT testing; imaging microscopy system; microscopic image detection technology
Special Issues, Collections and Topics in MDPI journals
State Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China
Interests: digital microfluidics; DNA identification; drug screening; precision medicine
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China
Interests: biosensors; bio-tribology; haptics; human–computer interface; tactile cognition
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Special Issue Information

Dear Colleagues,

Cell sensing represents the ability of cells to detect and respond to various physical, chemical, and biological signals in their surrounding environment, which is fundamental for cell survival and the normal functioning of cells, playing a key role in maintaining tissue homeostasis. Cells perceive external signals through a variety of receptors, which could be targets for precision medicine. Research related to cell sensing has shown outstanding potential in tumor treatment, immunotherapy, drug sensitivity testing, cell-to-cell interactions and communication, and AI-assisted medical care.

 

Therefore, we will organize a Special Issue to explore cell sensing and precision medicine. This Special Issue covers but is not limited to the following topics:

  1. Mechanisms of cell sensing, including the sensing of physical signals (mechanical force, temperature, electric fields, magnetic fields), chemical signals (hormones, neurotransmitters, growth factors, extracellular nutrients, and metabolic waste), and biological signals (cell-to-cell communication, paracrine, and autocrine signals);
  2. Cell sensing detection technologies;
  3. Target discovery for precision medicine based on cell sensing;
  4. Regulation of cell sensing in precision medicine;
  5. Drug sensitivity testing;
  6. Cell activity monitoring;
  7. Drug screening;
  8. Tumor immune microenvironment;
  9. Cell biology;
  10. Biorheology.

Dr. Ning Yang
Dr. Yanwei Jia
Dr. Si Chen
Guest Editors

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Keywords

  • cellular sensing
  • precision medicine
  • cytomechanics
  • bioinformatics
  • cell communication
  • drug sensitivity test

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Published Papers (1 paper)

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Research

15 pages, 4711 KiB  
Article
Evaluation of Cancer Cell Invasion Ability Based on Electrochemical Impedance
by Feiyang Jiang, Mingji Wei, Si Chen, Yanfei Wang, Ning Liu and Ning Yang
Biosensors 2025, 15(2), 91; https://doi.org/10.3390/bios15020091 - 6 Feb 2025
Viewed by 975
Abstract
Cancer metastasis is the leading cause of cancer-related deaths, with the ability of cancer cells to invade blood vessels or lymphatic systems, determining their metastatic potential. Therefore, the rapid and accurate assessment of cell invasiveness is crucial. Current methods, such as the Transwell [...] Read more.
Cancer metastasis is the leading cause of cancer-related deaths, with the ability of cancer cells to invade blood vessels or lymphatic systems, determining their metastatic potential. Therefore, the rapid and accurate assessment of cell invasiveness is crucial. Current methods, such as the Transwell assay and fluorescent labeling, are complex, invasive, and may disrupt the physiological state of live cells. In this study, we introduce an electrochemical impedance-based method for evaluating cancer cell invasiveness, combining Transwell and microfluidic technologies to monitor the invasion process in a dynamic environment. A stable microfluidic chip with 30 μm interdigital electrodes was developed, optimized for HeLa cell detection. We identified 1 kHz as the optimal frequency for achieving the maximum impedance resolution of cancer cell invasiveness. By correlating the impedance response of Zcells/Zno-cells with invasiveness, we established a reliable electrochemical model. This model was validated with a hydrogen peroxide cytotoxicity assay, showing a high correlation with optical staining and a minimal error of 1.89%, underscoring its potential for drug efficacy prediction. The proposed method offers rapid detection, low cost, and requires no manual intervention, making it an efficient and reliable tool for assessing cancer cell invasiveness in therapeutic research. Full article
(This article belongs to the Special Issue Cellular Sensing and Precision Medicine)
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