Multiplex Stimulated Raman Scattering Imaging Cytometry Reveals Lipid-Rich Protrusions in Cancer Cells under Stress Condition
Identifieur interne : 000102 ( Main/Exploration ); précédent : 000101; suivant : 000103Multiplex Stimulated Raman Scattering Imaging Cytometry Reveals Lipid-Rich Protrusions in Cancer Cells under Stress Condition
Auteurs : Kai-Chih Huang [États-Unis] ; Junjie Li [États-Unis] ; Chi Zhang [États-Unis] ; Yuying Tan [États-Unis] ; Ji-Xin Cheng [États-Unis]Source :
- iScience [ 2589-0042 ] ; 2020.
Abstract
Url:
DOI: 10.1016/j.isci.2020.100953
PubMed: 32179477
PubMed Central: 7078382
Affiliations:
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Le document en format XML
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<author><name sortKey="Huang, Kai Chih" sort="Huang, Kai Chih" uniqKey="Huang K" first="Kai-Chih" last="Huang">Kai-Chih Huang</name>
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<author><name sortKey="Li, Junjie" sort="Li, Junjie" uniqKey="Li J" first="Junjie" last="Li">Junjie Li</name>
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<author><name sortKey="Zhang, Chi" sort="Zhang, Chi" uniqKey="Zhang C" first="Chi" last="Zhang">Chi Zhang</name>
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<front><div type="abstract" xml:lang="en"><title>Summary</title>
<p><italic>In situ</italic>
measurement of cellular metabolites is still a challenge in biology. Conventional methods, such as mass spectrometry or fluorescence microscopy, would either destroy the sample or introduce strong perturbations to target molecules. Here, we present multiplex stimulated Raman scattering (SRS) imaging cytometry as a label-free single-cell analysis platform with chemical specificity and high-throughput capabilities. Using SRS imaging cytometry, we studied the metabolic responses of human pancreatic cancer cells under stress by starvation and chemotherapeutic drug treatments. We unveiled protrusions containing lipid droplets as a metabolic marker for stress-resistant cancer cells. Furthermore, by spectroscopic SRS mapping, we unveiled that triglyceride in lipid droplets are used for local energy production through lipolysis, autophagy, and β-oxidation. Our findings demonstrate the potential of targeting lipid metabolism for selective treatment of stress-resistant cancers. Collectively, these results highlight SRS imaging cytometry as a powerful label-free tool for biological discoveries with a high-throughput, high-content capacity.</p>
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</back>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
</list>
<tree><country name="États-Unis"><noRegion><name sortKey="Huang, Kai Chih" sort="Huang, Kai Chih" uniqKey="Huang K" first="Kai-Chih" last="Huang">Kai-Chih Huang</name>
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<name sortKey="Cheng, Ji Xin" sort="Cheng, Ji Xin" uniqKey="Cheng J" first="Ji-Xin" last="Cheng">Ji-Xin Cheng</name>
<name sortKey="Cheng, Ji Xin" sort="Cheng, Ji Xin" uniqKey="Cheng J" first="Ji-Xin" last="Cheng">Ji-Xin Cheng</name>
<name sortKey="Cheng, Ji Xin" sort="Cheng, Ji Xin" uniqKey="Cheng J" first="Ji-Xin" last="Cheng">Ji-Xin Cheng</name>
<name sortKey="Li, Junjie" sort="Li, Junjie" uniqKey="Li J" first="Junjie" last="Li">Junjie Li</name>
<name sortKey="Tan, Yuying" sort="Tan, Yuying" uniqKey="Tan Y" first="Yuying" last="Tan">Yuying Tan</name>
<name sortKey="Zhang, Chi" sort="Zhang, Chi" uniqKey="Zhang C" first="Chi" last="Zhang">Chi Zhang</name>
</country>
</tree>
</affiliations>
</record>
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