Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells.
Jiajun DuYapeng SuChenxi QianDan YuanKun MiaoDongkwan LeeAlphonsus H C NgReto S WijkerAntoni RibasRaphael D LevineJames R HeathLu WeiPublished in: Nature communications (2020)
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.
Keyphrases
- cell cycle arrest
- induced apoptosis
- raman spectroscopy
- high resolution
- single cell
- fatty acid
- endoplasmic reticulum stress
- cell death
- single molecule
- immune response
- stem cells
- small cell lung cancer
- label free
- squamous cell carcinoma
- high throughput
- oxidative stress
- optical coherence tomography
- reactive oxygen species
- high speed
- photodynamic therapy
- bone marrow
- molecular dynamics simulations
- basal cell carcinoma
- wild type