The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Resource Allocation in Mammalian Systems
Open accessPreprint — published as 10.1016/j.biotechadv.2023.108305 · Paper page
Abstract
Cells execute biological functions to support phenotypes such as growth, migration, and secretion. Complementarily, each function of a cell has resource costs that constrain phenotype. Resource allocation by a cell allows it to manage these costs and optimize their phenotypes. In fact, the management of resource constraints (e.g., nutrient availability, bioenergetic capacity, and macromolecular machinery production) shape activity and ultimately impact phenotype. In mammalian systems, quantification of resource allocation provides important insights into higher-order multicellular functions; it shapes intercellular interactions and relays environmental cues for tissues to coordinate individual cells to overcome resource constraints and achieve population-level behavior. Furthermore, these constraints, objectives, and phenotypes are context-dependent, with cells adapting their behavior according to their microenvironment, resulting in distinct steady-states. This review will highlight the biological insights gained from probing resource allocation in mammalian cells and tissues.
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Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
Li, F., Yuan, L., Lu, H., Li, G., Chen, Y., Engqvist, M. K. M., Kerkhoven, E. J., & Nielsen, J. (2022) · Nature Catalysis · doi:10.1038/s41929-022-00798-z · Cited by 466
Li, J. J., Bickel, P. J., & Biggin, M. D. (2014) · PeerJ · doi:10.7717/peerj.270 · Cited by 279
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Metadata
- Authors
- Baghdassarian, H., & Lewis, N.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Lewis, Nathan
- Venue
- Biotechnology Advances
- Publisher
- MDPI AG
- Published
- 2023-12-21
- Volume
- 71
- Pages
- 108305-108305
- ISSN
- 0734-9750 (ISSN-L)
- PMC
- PMC11182366
- OpenAlex
- W4390748636
- Cited by
- 17
- References
- 3
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 2 · 2023: 1
- FWCI
- 0.45
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Biotechnology Advances (acceptedVersion)
- Preprints.org (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Novo Nordisk (NNF20SA0066621)
- Novo Nordisk Fonden (NNF20SA0066621)
- Oak Ridge Institute for Science and Education
- National Institute of General Medical Sciences (GM119850, T32GM008806, R35GM119850)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Keywords
- resource allocation, nutrient availability, bioenergetics, cell phenotype, cell-cell interactions, cell microenvironment, cellular adaptation, multicellular behavior
- MeSH terms
- Animals, Mammals, Phenotype, Resource Allocation
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