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  Advantages and Pitfalls of Mass Spectrometry Based Metabolome Profiling in Systems Biology

Aretz, I., & Meierhofer, D. (2016). Advantages and Pitfalls of Mass Spectrometry Based Metabolome Profiling in Systems Biology. International Journal of Molecular Sciences, 17(5): pii: E632. doi:10.3390/ijms17050632.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-16D7-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-16D8-6
Genre: Journal Article

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© 2016 by the authors; licensee MDPI, Basel, Switzerland

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 Creators:
Aretz, Ina1, Author              
Meierhofer, David1, Author              
Affiliations:
1Mass Spectrometry (Head: David Meierhofer), Scientific Service (Head: Christoph Krukenkamp), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479669              

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Free keywords: metabolome profiling; mass spectrometry; nuclear magnetic resonance (NMR) spectroscopy; systems biology; multiple reaction monitoring (MRM); LC-MS; derivatization
 Abstract: Mass spectrometry-based metabolome profiling became the method of choice in systems biology approaches and aims to enhance biological understanding of complex biological systems. Genomics, transcriptomics, and proteomics are well established technologies and are commonly used by many scientists. In comparison, metabolomics is an emerging field and has not reached such high-throughput, routine and coverage than other omics technologies. Nevertheless, substantial improvements were achieved during the last years. Integrated data derived from multi-omics approaches will provide a deeper understanding of entire biological systems. Metabolome profiling is mainly hampered by its diversity, variation of metabolite concentration by several orders of magnitude and biological data interpretation. Thus, multiple approaches are required to cover most of the metabolites. No software tool is capable of comprehensively translating all the data into a biologically meaningful context yet. In this review, we discuss the advantages of metabolome profiling and main obstacles limiting progress in systems biology.

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Language(s): eng - English
 Dates: 2016-04-27
 Publication Status: Published online
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.3390/ijms17050632
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Title: International Journal of Molecular Sciences
  Abbreviation : Int. J. Mol. Sci.
Source Genre: Journal
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Publ. Info: Basel, Switzerland : MDPI AG
Pages: - Volume / Issue: 17 (5) Sequence Number: pii: E632 Start / End Page: - Identifier: ISSN: 1422-0067
CoNE: /journals/resource/1422-0067