Literature DB >> 31062317

Metabolomics in Stem Cell Biology Research.

Zhen Sun1, Jing Zhao1, Hua Yu1, Chenyang Zhang1, Hu Li2, Zhongda Zeng3, Jin Zhang4.   

Abstract

Stem cell research has been greatly facilitated by comprehensive and integrative multi-omics studies. As a unique approach of functional analysis, metabolomics measures many metabolites and activities of metabolic pathways which can directly indicate cellular energetic status, cell proliferation and fitness, and stem cell fate choices such as self-renewal versus differentiation. Here we describe the methods of applying metabolomics, 13C-labeled glucose and glutamine tracing with mouse embryonic stem cells (ES cells), metabolite analysis using mass spectrometry tools, and the following statistical and computational modeling analysis. Integration of these methods into the more common gene expression and epigenetics analysis toolbox will help to generate a more complete picture and in-depth understanding of one's stem cells of interest.

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Keywords:  13C-tracing analysis; Mass spectroscopy; Metabolic pathway; Metabolite; Metabolomics; Statistical analysis

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Year:  2019        PMID: 31062317     DOI: 10.1007/978-1-4939-9224-9_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

Review 1.  Metabolic-epigenetic nexus in regulation of stem cell fate.

Authors:  Yi Liu; Di-Xin Cui; Yue Pan; Si-Han Yu; Li-Wei Zheng; Mian Wan
Journal:  World J Stem Cells       Date:  2022-07-26       Impact factor: 5.247

  1 in total

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