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Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells

Authors :
Reto S. Wijker
Dan Yuan
Antoni Ribas
James R. Heath
Yapeng Su
Dongkwan Lee
Kun Miao
Chenxi Qian
Jiajun Du
Raphael D. Levine
Alphonsus H. C. Ng
Lu Wei
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020), Nature communications, vol 11, iss 1, Nature Communications
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

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.<br />Single-cell metabolomics can offer deep insights into the metabolic reprogramming that accompanies disease states. Here, the authors use Raman spectro-microscopy for non-invasive metabolite analysis and identification of druggable metabolic susceptibilities in single live melanoma cells.

Details

ISSN :
20411723
Volume :
11
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....ff5c5e9fa69637a536d2ac370ce041e2
Full Text :
https://doi.org/10.1038/s41467-020-18376-x