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Updated: May 8, 2026

Harnessing the DNA Dye-triggered Side Population Phenotype to Detect and Purify Cancer Stem Cells from Biological Samples
Published on: May 10, 2017
Facile Way to Differentiate Normal and Cancerous Tissues via Polarity-Sensitive Fluorescent Probes Based on
1College of Chemistry, Chemical Engineering and Material Science, Soochow University, No. 199 Ren Ai Road, Suzhou 215123, China.
Abstract:
Cancer is a genetic disorder caused by the long-term interaction of many factors, which has become the most important factor to take away human health; therefore, it is essential to develop a more efficient and sensitive cancer detection technology. This study developed two polarity sensitive probes 1a and 1b based on a 1,6-naphthyridine moiety linked to different targeting groups by vinyl as the π bridge. As the solvent polarity decreased, the emission wavelength of probes 1a and 1b experienced a blue shift, resulting in a significant enhance in fluorescence intensity by 135-fold and 53-fold, respectively, and a good linear relationship between Fmax of probes 1a and 1b and Δf was established with high correlation coefficients. Furthermore, probes 1a and 1b exhibited large Stokes shifts, high photostability, and low cytotoxicity, successfully targeting intracellular lipid droplets and mitochondria. Fluctuation in polarity was detected by real-time changes in fluorescence intensity of probes in lipid droplets and mitochondria. Moreover, probe 1b was capable of real-time monitoring mitochondrial polarity during starvation or rapamycin-induced autophagy. It was worth standing out 1a and 1b could distinguish normal cells from cancer cells, and then the probes also were successfully applied for imaging to differentiate between human normal tissues and cancerous tissues, with the fluorescence intensity of malignant tumor tissues being 15.4-19.9 folds higher than that of normal tissues and 5.3-7.2 times higher than that of benign tumor tissues. Therefore, this research offers potential applications for cancer diagnosis.
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