4.8 Article

Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues

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ELIFE
卷 10, 期 -, 页码 -

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eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.61980

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  1. Howard Hughes Medical Institute
  2. National Institutes of Health [DK11875, CA228608, F32 HL 135975]
  3. Cancer Prevention and Research Institute of Texas [RP180778]
  4. Fritz Thyssen Foundation
  5. German National Academy of Sciences Leopoldina Fellowship Program [LPDS 2016-16]

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Little is known about the metabolic regulation of rare cell populations, but a new method involving hydrophilic liquid interaction chromatography and high-sensitivity orbitrap mass spectrometry detected 160 metabolites in 10,000 hematopoietic stem cells, revealing more glycolytic and lipid intermediates. Improved chromatographic separation, increased mass resolution, minimized ion suppression, and eliminated sample drying allowed for routine metabolomic analysis of rare cells from tissues.
Little is known about the metabolic regulation of rare cell populations because most metabolites are hard to detect in small numbers of cells. We previously described a method for metabolomic profiling of flow cytometrically isolated hematopoietic stem cells (HSCs) that detects 60 metabolites in 10,000 cells (Agathocleous et al., 2017). Here we describe a new method involving hydrophilic liquid interaction chromatography and high-sensitivity orbitrap mass spectrometry that detected 160 metabolites in 10,000 HSCs, including many more glycolytic and lipid intermediates. We improved chromatographic separation, increased mass resolution, minimized ion suppression, and eliminated sample drying. Most metabolite levels did not significantly change during cell isolation. Mouse HSCs exhibited increased glycerophospholipids relative to bone marrow cells and methotrexate treatment altered purine biosynthesis. Circulating human melanoma cells were depleted for purine intermediates relative to subcutaneous tumors, suggesting decreased purine synthesis during metastasis. These methods facilitate the routine metabolomic analysis of rare cells from tissues.

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