PlumX Metrics
Embed PlumX Metrics

LC-MS-based metabolomics reveals metabolic signatures related to glioma stem-like cell self-renewal and differentiation

RSC Advances, ISSN: 2046-2069, Vol: 7, Issue: 39, Page: 24221-24232
2017
  • 12
    Citations
  • 0
    Usage
  • 26
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    12
    • Citation Indexes
      12
  • Captures
    26

Article Description

Gliomas are the most common and lethal primary malignant brain tumors. Recent studies implicate an important role for a rare population of glioma stem cells (GSCs) in glioma maintenance and recurrence. New therapeutic strategies are desperately needed requiring insights into the biological and molecular mechanisms underlying the self-renewal and differentiation of GSCs. We now investigate the metabolic signatures of three glioma cell lines with different stemness using a liquid chromatography-mass spectrometry (LC-MS)-based metabolomics approach. Cellular metabolites differentially expressed in U87MG stem-like cells (SLCs) relative to U87 malignant glioma cells (GCs) and U87MG stem-like cell differentiation cells (SLCDCs) were identified. The specific and significant alterations including nucleotide metabolism, glycerophospholipid metabolism, glutathione metabolism, carnitine metabolism and tryptophan metabolism were characterized. Cell function assays were further used to evaluate the self-renewal ability of SLCs treated with differential metabolites, indicating that these metabolites are involved in the maintenance of stemness. The results provide valuable information on the association of the significantly altered metabolites and metabolic pathways with SLC self-renewal and differentiation.

Bibliographic Details

Rui Zhang; Qingce Zang; Xiaofei Yue; Zhi Zhou; Xiaoyu Xu; Jing Xu; Yanhua Chen; Ruiping Zhang; Zeper Abliz; Peishan Hu; Shanshan Li; Boqin Qiang; Xiaozhong Peng; Wei Han

Royal Society of Chemistry (RSC)

Chemistry; Chemical Engineering

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know