Chapter title |
Analytical Platforms and Techniques to Study Stem Cell Metabolism
|
---|---|
Chapter number | 20 |
Book title |
Somatic Stem Cells
|
Published in |
Methods in molecular biology, September 2018
|
DOI | 10.1007/978-1-4939-8697-2_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8696-5, 978-1-4939-8697-2
|
Authors |
Christine Tang, Kevin Chen, Aleksandar Bajic, William T. Choi, Dodge L. Baluya, Mirjana Maletic-Savatic, Tang, Christine, Chen, Kevin, Bajic, Aleksandar, Choi, William T., Baluya, Dodge L., Maletic-Savatic, Mirjana |
Abstract |
Over the past decade, advances in systems biology or 'omics techniques have enabled unprecedented insights into the biological processes that occur in cells, tissues, and on the organism level. One of these technologies is the metabolomics, which examines the whole content of the metabolites in a given sample. In a biological system, a stem cell for instance, there are thousands of single components, such as genes, RNA, proteins, and metabolites. These multiple molecular species interact with each other and these interactions may change over the life-time of a cell or in response to specific stimuli, adding to the complexity of the system. Using metabolomics, we can obtain an instantaneous snapshot of the biological status of a cell, tissue, or organism and gain insights on the pattern(s) of numerous analytes, both known and unknown, that result because of a given biological condition. Here, we outline the main methods to study the metabolism of stem cells, including a relatively recent technology of mass spectrometry imaging. Given the abundant and increasing interest in stem cell metabolism in both physiological and pathological conditions, we hope that this chapter will provide incentives for more research in these areas to ultimately reach wide network of applications in biomedical, pharmaceutical, and nutritional research and clinical medicine. |
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Mendeley readers
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Demographic breakdown
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Student > Ph. D. Student | 6 | 46% |
Researcher | 2 | 15% |
Unknown | 5 | 38% |
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Biochemistry, Genetics and Molecular Biology | 2 | 15% |
Medicine and Dentistry | 2 | 15% |
Neuroscience | 2 | 15% |
Energy | 1 | 8% |
Earth and Planetary Sciences | 1 | 8% |
Other | 1 | 8% |
Unknown | 4 | 31% |