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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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