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Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells
Non-invasively probing metabolites within single live cells is highly desired but challenging. Here we utilize Raman spectro-microscopy for spatial mapping of metabolites within single cells, with the specific goal of identifying druggable metabolic susceptibilities from a series of patient-derived...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518429/ https://www.ncbi.nlm.nih.gov/pubmed/32973134 http://dx.doi.org/10.1038/s41467-020-18376-x |
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author | Du, Jiajun Su, Yapeng Qian, Chenxi Yuan, Dan Miao, Kun Lee, Dongkwan Ng, Alphonsus H. C. Wijker, Reto S. Ribas, Antoni Levine, Raphael D. Heath, James R. Wei, Lu |
author_facet | Du, Jiajun Su, Yapeng Qian, Chenxi Yuan, Dan Miao, Kun Lee, Dongkwan Ng, Alphonsus H. C. Wijker, Reto S. Ribas, Antoni Levine, Raphael D. Heath, James R. Wei, Lu |
author_sort | Du, Jiajun |
collection | PubMed |
description | Non-invasively probing metabolites within single live cells is highly desired but challenging. Here we utilize Raman spectro-microscopy for spatial mapping of metabolites within single cells, with the specific goal of identifying druggable metabolic susceptibilities from a series of patient-derived melanoma cell lines. Each cell line represents a different characteristic level of cancer cell de-differentiation. First, with Raman spectroscopy, followed by stimulated Raman scattering (SRS) microscopy and transcriptomics analysis, we identify the fatty acid synthesis pathway as a druggable susceptibility for differentiated melanocytic cells. We then utilize hyperspectral-SRS imaging of intracellular lipid droplets to identify a previously unknown susceptibility of lipid mono-unsaturation within de-differentiated mesenchymal cells with innate resistance to BRAF inhibition. Drugging this target leads to cellular apoptosis accompanied by the formation of phase-separated intracellular membrane domains. The integration of subcellular Raman spectro-microscopy with lipidomics and transcriptomics suggests possible lipid regulatory mechanisms underlying this pharmacological treatment. Our method should provide a general approach in spatially-resolved single cell metabolomics studies. |
format | Online Article Text |
id | pubmed-7518429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75184292020-10-08 Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells Du, Jiajun Su, Yapeng Qian, Chenxi Yuan, Dan Miao, Kun Lee, Dongkwan Ng, Alphonsus H. C. Wijker, Reto S. Ribas, Antoni Levine, Raphael D. Heath, James R. Wei, Lu Nat Commun Article Non-invasively probing metabolites within single live cells is highly desired but challenging. Here we utilize Raman spectro-microscopy for spatial mapping of metabolites within single cells, with the specific goal of identifying druggable metabolic susceptibilities from a series of patient-derived melanoma cell lines. Each cell line represents a different characteristic level of cancer cell de-differentiation. First, with Raman spectroscopy, followed by stimulated Raman scattering (SRS) microscopy and transcriptomics analysis, we identify the fatty acid synthesis pathway as a druggable susceptibility for differentiated melanocytic cells. We then utilize hyperspectral-SRS imaging of intracellular lipid droplets to identify a previously unknown susceptibility of lipid mono-unsaturation within de-differentiated mesenchymal cells with innate resistance to BRAF inhibition. Drugging this target leads to cellular apoptosis accompanied by the formation of phase-separated intracellular membrane domains. The integration of subcellular Raman spectro-microscopy with lipidomics and transcriptomics suggests possible lipid regulatory mechanisms underlying this pharmacological treatment. Our method should provide a general approach in spatially-resolved single cell metabolomics studies. Nature Publishing Group UK 2020-09-24 /pmc/articles/PMC7518429/ /pubmed/32973134 http://dx.doi.org/10.1038/s41467-020-18376-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Du, Jiajun Su, Yapeng Qian, Chenxi Yuan, Dan Miao, Kun Lee, Dongkwan Ng, Alphonsus H. C. Wijker, Reto S. Ribas, Antoni Levine, Raphael D. Heath, James R. Wei, Lu Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells |
title | Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells |
title_full | Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells |
title_fullStr | Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells |
title_full_unstemmed | Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells |
title_short | Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells |
title_sort | raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518429/ https://www.ncbi.nlm.nih.gov/pubmed/32973134 http://dx.doi.org/10.1038/s41467-020-18376-x |
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