The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.
Systems Biology of Metabolism
Abstract
Metabolism is highly complex and involves thousands of different connected reactions; it is therefore necessary to use mathematical models for holistic studies. The use of mathematical models in biology is referred to as systems biology. In this review, the principles of systems biology are described, and two different types of mathematical models used for studying metabolism are discussed: kinetic models and genome-scale metabolic models. The use of different omics technologies, including transcriptomics, proteomics, metabolomics, and fluxomics, for studying metabolism is presented. Finally, the application of systems biology for analyzing global regulatory structures, engineering the metabolism of cell factories, and analyzing human diseases is discussed.
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“The development of a physiological model for each body system, underpinned by a 'systems biology mindset', 124 will enable a more nuanced assessment of the individual athlete and whether their specific combination of LEA exposure and secondary moderators is likely to lead to positive, neutral or negative health and/or performance outcomes.”
From 2023 international olympic committee's (IOC) consensus statement on relative energy deficiency in sport (REDs) (2023) · cites this paper as [124]
Citations
Cites
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Self-citationA human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Diet rapidly and reproducibly alters the human gut microbiome
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Systems biology: a brief overview
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Sorted by citations
Mountjoy, M., Ackerman, K. E., Bailey, D. M., Burke, L. M., Constantini, N., Hackney, A. C., Heikura, I. A., Melin, A., Pensgaard, A. M., Stellingwerff, T., et al. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2023-106994 · Cited by 724
Systems biology and multi-omics integration: viewpoints from the metabolomics research community
Pinu, F. R., Beale, D. J., Paten, A. M., Kouremenos, K., Swarup, S., Schirra, H. J., & Wishart, D. (2019) · Metabolites · doi:10.3390/metabo9040076 · Cited by 723
Nikel, P. I., & de Lorenzo, V. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.05.005 · Cited by 480
Yeast Systems Biology: Model Organism and Cell Factory
Nielsen, J. (2019) · Biotechnology Journal · doi:10.1002/biot.201800421 · Cited by 298
Self-citationDrosophila as a model for ageing
Piper, M. D. W., & Partridge, L. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2017.09.016 · Cited by 273
Metadata
- Authors
- Nielsen, J.
- Affiliations
- Science for Life Laboratory (SE)
- Corresponding author
- Nielsen, Jens
- ORCID
- Nielsen, Jens
- Venue
- Annual Review of Biochemistry
- Publisher
- Annual Reviews
- Published
- 2017-06-20
- Volume
- 86
- Issue
- 1
- Pages
- 245-275
- ISSN
- 0066-4154 (ISSN-L)
- 1545-4509
- OpenAlex
- W2594933406
- Cited by
- 252
- References
- 178
- Citations by year
- 2026: 26 · 2025: 25 · 2024: 36 · 2023: 31 · 2022: 32 · 2021: 31 · 2020: 31 · 2019: 24 · 2018: 12 · 2017: 4
- FWCI
- 1.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Biochemistry (publishedVersion)
- PubMed (publishedVersion)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Funders
- Novo Nordisk Fonden (NNF10CC1016517)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- systems biology, metabolism, kinetic model, genome-scale metabolic models, omics technologies, transcriptomics, proteomics, metabolomics, fluxomics, metabolic engineering, cell factories, metabolic disorders
- MeSH terms
- Bacteria, Fungi, Humans, Kinetics, Models, Biological, Models, Statistical, Genome, Proteomics, Systems Biology, Metabolomics, Transcriptome, Metabolic Engineering
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