Cited by 37Evolution and Genetic DynamicsGene Regulatory Network AnalysisRNA and protein synthesis mechanisms

How do cells adapt? stories told in landscapes

Open access
Agozzino, Luca, Balázsi, Gábor, Wang, Jin, Dill, Ken A.·2020·Annual Review of Chemical and Biomolecular Engineering

Abstract

Cells adapt to changing environments. Perturb a cell and it returns to a point of homeostasis. Perturb a population and it evolves toward a fitness peak. We review quantitative models of the forces of adaptation and their visualizations on landscapes. While some adaptations result from single mutations or few-gene effects, others are more cooperative, more delocalized in the genome, and more universal and physical. For example, homeostasis and evolution depend on protein folding and aggregation, energy and protein production, protein diffusion, molecular motor speeds and efficiencies, and protein expression levels. Models provide a way to learn about the fitness of cells and cell populations by making and testing hypotheses.

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Crossref · 10.1146/annurev-chembioeng-011720-103410

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109 of 109 references verified0 citation errors · 0 not checkable

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  • Homeostasis is a property of a normal cell to maintain constant intracellular concentrations over a cell cycle, responding to perturbations by adjusting biochemical pathways to bring concentrations back into an acceptable range.

    “Homeostasis is a property of a normal cell to maintain constant intracellular concentrations over a cell cycle suggesting that upon experiencing a perturbation whether from the environment or an intracellular reaction, it responds by adjusting its biochemical pathways to bring the concentrations back into an acceptable range for stable functioning of its networks (Agozzino et al., 2020).”

    From Fundamental behaviors emerge from simulations of a living minimal cell (2022) · cites this paper as Agozzino et al., 2020

    In “Simple Homeostasis: The Basic Idea” (page unavailable), the paper defines homeostasis as a stable biomolecule concentration maintained by opposing synthesis and degradation flows; the Introduction says cells return to a stable state after perturbation. It does not establish that intracellular concentrations remain constant over an entire cell cycle or specifically describe this as a property of a “normal cell.” (LLM, conf=0.86)

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Research works printed but not linked: 7

  1. [8]Van Kampen NG. 1992 Stochastic Processes in Physics and Chemistry, Vol. 1 Amsterdam: Elsevier 2nd ed.
  2. [10]Gardiner CW. 1985 Handbook of Stochastic Methods, Vol. 3 Berlin: Springer
  3. [31]Poelwijk FJ, de Vos MG, Tans SJ. 2011 Tradeoffs and optimality in the evolution of gene regulation. Cell 146: 462– 70 21802129
  4. [40]Wright S 1932 The roles of mutation, inbreeding, crossbreeding, and selection in evolution In Proceedings of the Sixth International Congress of Genetics, Vol. 1, ed. Jones DF, pp. 356– 66. Menasha, WI: Brooklyn Bot. Gard.
  5. [53]Jackson EA. 1992 Perspectives of Nonlinear Dynamics, Vol. 1 Cambridge, UK: Cambridge Univ. Press Arch.
  6. [90]Nevozhay D, Adams RM, Van Itallie E, Bennett MR, Balazsi G. 2012 Mapping the environmental fitness landscape of a synthetic gene circuit. PLOS Comput. Biol 8: e1002480 22511863 PMC3325171
  7. [99]González C, Ray JCJ, Manhart M, Adams RM, Nevozhay D, 2015 Stress-response balance drives the evolution of a network module and its host genome. Mol. Syst. Biol 11: 827 26324468 PMC4562500

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Authors
Agozzino, L., Balázsi, G., Wang, J., & Dill, K. A.
Affiliations
Stony Brook University (US)
Venue
Annual Review of Chemical and Biomolecular Engineering
Published
2020-06-08
Volume
11
Issue
1
Pages
155-182
ISSN
  • 1947-5438 (ISSN-L)
  • 1947-5446
OpenAlex
W3033782339
Cited by
37
References
108
Citations by year
2026: 6 · 2025: 7 · 2024: 8 · 2023: 5 · 2022: 6 · 2021: 4 · 2020: 1
FWCI
0.57
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Annual Review of Chemical and Biomolecular Engineering (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
National Institute of General Medical Sciences (R01GM124177, R01GM125813, R35GM122561)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
cellular adaptation, homeostasis, evolution, fitness landscape, quantitative model, protein folding, protein aggregation, energy production, protein diffusion, molecular motors, protein abundance, single mutation, cell populations
MeSH terms
Adaptation, Physiological, Animals, Energy Metabolism, Humans, Models, Biological, Mutation, Proteins, RNA, Messenger, Protein Folding, Evolution, Molecular

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