The researchers paired a powerful algorithm with Raman spectroscopy, which involves using a laser to excite photons in a sample to reveal structural information, including interactions. They examined how rapamycin, an anti-cancer drug, changed the metabolic activity in a human cancer cell line and in yeast. The method is able to rapidly and precisely track and distinguish changes in lipid and protein metabolic-inhibitory effect of rapamycin. The method takes just days compared to traditional tests that can take much longer to see if an individual patient's cells will respond favourably to a drug. It is also very precise, as it can distinguish cancer cell responses to drugs at the single-cell and single-organelle resolution, which is crucial for understanding why the drug is - or is not – effective.
D2O-probed Raman microspectroscopy distinguishes the metabolic dynamics of macromolecules in organellar anticancer drug response
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