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Updated: Feb 15, 2026
08:20
In Vitro Model of Human Cutaneous Hypertrophic Scarring using Macromolecular Crowding
Published on: May 1, 2020
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Modeling the multi-scale mechanisms of macromolecular resource allocation.
Laurence Yang1, James T Yurkovich2, Zachary A King1
1Bioengineering Department, University of California, San Diego, La Jolla, CA, USA.
Current Opinion in Microbiology
|January 26, 2018
Summary
Microbes adapt to new environments by reallocating resources, a process illuminated by mathematical models. These models help understand proteome allocation and microbial adaptation strategies.
Area of Science:
- Microbiology
- Systems Biology
- Biophysics
Background:
- Microbes dynamically adjust macromolecular resource allocation to adapt their phenotype in response to environmental changes.
- While 'omics' data reveal proteome allocation patterns, the functional outcomes and underlying mechanisms require further investigation.
- Mathematical modeling is crucial for understanding the genetic basis of systems-level adaptations in microbes.
Purpose of the Study:
- To review strategies microbes use for resource allocation.
- To detail how mathematical models have advanced the understanding of microbial resource allocation.
- To highlight the principles of proteome allocation elucidated by modeling.
Main Methods:
- Review of existing literature on microbial resource allocation.
- Analysis of multi-scale mathematical models applied to microbial systems.
- Synthesis of findings from 'omics' data and modeling studies.
Main Results:
- Identified diverse strategies employed by microbes for macromolecular resource allocation.
- Demonstrated the significant contribution of mathematical models in elucidating these allocation processes.
- Highlighted how modeling reveals the principles governing proteome allocation.
Conclusions:
- Mathematical models are powerful tools for understanding microbial adaptation and resource allocation.
- Further modeling efforts promise to uncover deeper insights into microbial phenotypic plasticity.
- Understanding proteome allocation is key to predicting microbial responses to environmental shifts.
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