A multimodal pipeline using NMR spectroscopy and MALDI-TOF mass spectrometry imaging from the same tissue sample.
Caitlin M TresslerVinay AyyappanSofia NakuchimaEthan YangKanchan SonkarZheqiong TanKristine GlundePublished in: NMR in biomedicine (2022)
NMR spectroscopy and matrix assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) are both commonly used to detect large numbers of metabolites and lipids in metabolomic and lipidomic studies. We have demonstrated a new workflow, highlighting the benefits of both techniques to obtain metabolomic and lipidomic data, which has realized for the first time the combination of these two complementary and powerful technologies. NMR spectroscopy is frequently used to obtain quantitative metabolite information from cells and tissues. Lipid detection is also possible with NMR spectroscopy, with changes being visible across entire classes of molecules. Meanwhile, MALDI MSI provides relative measures of metabolite and lipid concentrations, mapping spatial information of many specific metabolite and lipid molecules across cells or tissues. We have used these two complementary techniques in combination to obtain metabolomic and lipidomic measurements from triple-negative human breast cancer cells and tumor xenograft models. We have emphasized critical experimental procedures that ensured the success of achieving NMR spectroscopy and MALDI MSI in a combined workflow from the same sample. Our data show that several phospholipid metabolite species were differentially distributed in viable and necrotic regions of breast tumor xenografts. This study emphasizes the power of combined NMR spectroscopy-MALDI imaging to advance metabolomic and lipidomic studies.
Keyphrases
- mass spectrometry
- high resolution
- liquid chromatography
- gas chromatography
- induced apoptosis
- high performance liquid chromatography
- capillary electrophoresis
- electronic health record
- fatty acid
- cell cycle arrest
- gene expression
- breast cancer cells
- endothelial cells
- big data
- ms ms
- health information
- deep learning
- pain management
- induced pluripotent stem cells
- simultaneous determination
- fluorescence imaging
- neural network