4.8 Article

D2O-Probed Raman Microspectroscopy Distinguishes the Metabolic Dynamics of Macromolecules in Organellar Anticancer Drug Response

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ANALYTICAL CHEMISTRY
卷 93, 期 4, 页码 2125-2134

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AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c03925

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  1. CAS [QYZDB-SSW-SMC015, KFJ-STS-QYZX-087]
  2. NSFC [31827801, 32030003]
  3. DICPQIBEBT [UN201806]

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The study introduced D2O-probed Raman microspectroscopy in combination with the MCR algorithm to track and distinguish drug-induced metabolic changes at a single-cell/organelle resolution. The method revealed differential effects of rapamycin on protein and lipid synthesis in human cancer cells and yeast, indicating similarity in drug response mechanisms.
To profile the metabolic dynamics responding to drugs at the single-cell/organelle resolution, rapid and economical mechanism-revealing methods are required. Here, we introduced D2O-probed Raman microspectroscopy in combination with the multivariate curve resolution-alternating least squares (MCR-ALS or MCR) algorithm. Exploiting MCR to deconvolute each macromolecular component specifically, the method is able to track and distinguish changes in lipid and protein metabolic activities in a human cancer cell line (MCF-7) and in Saccharomyces cerevisiae, in response to the metabolism-inhibitory effect of rapamycin, which inhibits the mammalian/mechanistic target of rapamycin (mTOR) signaling. Under rapamycin, in the lipid bodies of cancer cells, metabolic activities of both protein and lipid are suppressed; in the nucleus, protein synthesis remains active, whereas lipid synthesis is inhibited; in the cytoplasm, syntheses of protein and lipid are both dose- and duration-dependent. Thus, rapamycin differentially influences protein and lipid synthesis in mTOR signaling. Moreover, the strong correlation between macromolecular-specific components of yeast and those in MCF-7 cytoplasm, nucleus, and lipid bodies revealed similarity in rapamycin response. Notably, highly metabolically active cancer cells after high-dosage rapamycin exposure (500 or 5000 X IC50) were revealed, which escape detection by population-level cytotoxicity tests. Thus, by unveiling macromolecule-specific metabolic dynamics at the organelle level, the method is valuable to mechanism-based rapid screening and dissection of drug response.

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