4.8 Article

Synchronized, Spontaneous, and Oscillatory Detachment of Eukaryotic Cells: A New Tool for Cell Characterization and Identification

期刊

ADVANCED SCIENCE
卷 9, 期 24, 页码 -

出版社

WILEY
DOI: 10.1002/advs.202200459

关键词

cancer therapy; cell characterization; cell detection; glycolytic oscillations; heat-transfer method; metabolic activity; spontaneous cell detachment

资金

  1. KU Leuven project [C14/15/066]
  2. Research Foundation Flanders FWO [G.0791.16N]
  3. Hercules [AKUL/11/37]
  4. FWO [G.0929.15, I000321N]
  5. bilateral FWO Flanders-FWF Austria project Simultaneous multiparametric readout for low-cost nanoparticle sensors

向作者/读者索取更多资源

In this study, a fast and facile label- and receptor-free method for cell characterization is proposed, using the natural response of cells to mild thermal stimuli. The time-patterns of synchronized and spontaneous cell detachment provide cell-specific indicators that can distinguish different cell types.
Despite the importance of cell characterization and identification for diagnostic and therapeutic applications, developing fast and label-free methods without (bio)-chemical markers or surface-engineered receptors remains challenging. Here, we exploit the natural cellular response to mild thermal stimuli and propose a label- and receptor-free method for fast and facile cell characterization. Cell suspensions in a dedicated sensor are exposed to a temperature gradient, which stimulates synchronized and spontaneous cell-detachment with sharply defined time-patterns, a phenomenon unknown from literature. These patterns depend on metabolic activity (controlled through temperature, nutrients, and drugs) and provide a library of cell-type-specific indicators, allowing to distinguish several yeast strains as well as cancer cells. Under specific conditions, synchronized glycolytic-type oscillations are observed during detachment of mammalian and yeast-cell ensembles, providing additional cell-specific signatures. These findings suggest potential applications for cell viability analysis and for assessing the collective response of cancer cells to drugs.

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