The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Direct Visualization of De novo Lipogenesis in Single Living Cells
Open accessAbstract
Increased de novo lipogenesis is being increasingly recognized as a hallmark of cancer. Despite recent advances in fluorescence microscopy, autoradiography and mass spectrometry, direct observation of de novo lipogenesis in living systems remains to be challenging. Here, by coupling stimulated Raman scattering (SRS) microscopy with isotope labeled glucose, we were able to trace the dynamic metabolism of glucose in single living cells with high spatial-temporal resolution. As the first direct visualization, we observed that glucose was largely utilized for lipid synthesis in pancreatic cancer cells, which occurs at a much lower rate in immortalized normal pancreatic epithelial cells. By inhibition of glycolysis and fatty acid synthase (FAS), the key enzyme for fatty acid synthesis, we confirmed the deuterium labeled lipids in cancer cells were from de novo lipid synthesis. Interestingly, we also found that prostate cancer cells exhibit relatively lower level of de novo lipogenesis, but higher fatty acid uptake compared to pancreatic cancer cells. Together, our results demonstrate a valuable tool to study dynamic lipid metabolism in cancer and other disorders.
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Cites
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Fatty acid synthesis: a potential selective target for antineoplastic therapy
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The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
Vibrational spectroscopic imaging of living systems: An emerging platform for biology and medicine
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Self-citationAdipocyte and lipid metabolism in cancer drug resistance
Cao, Y. (2019) · Journal of Clinical Investigation · doi:10.1172/jci127201 · Cited by 522
Biological imaging of chemical bonds by stimulated Raman scattering microscopy
Hu, F., Shi, L., & Min, W. (2019) · Nature Methods · doi:10.1038/s41592-019-0538-0 · Cited by 392
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Metadata
- Authors
- Li, J., & Cheng, J.-X.
- Venue
- Scientific Reports
- Published
- 2014-10-29
- Volume
- 4
- Issue
- 1
- Pages
- 6807-6807
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2039524626
- Cited by
- 185
- References
- 9
- FWCI
- 3.50
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
