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Updated: Jul 27, 2025

Using Caenorhabditis elegans as a Model System to Study Protein Homeostasis in a Multicellular Organism
Published on: December 18, 2013
Crowded environments tune the fold-switching in metamorphic proteins
Ning Zhang1,2,3, Wenyan Guan4, Shouqi Cui5,6,7,8
1Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101, China. zhangn2022@qibebt.ac.cn.
Cellular crowding influences metamorphic proteins like KaiB and XCL1. Crowding favors inactive protein forms and alters their structural switching speeds, impacting biological functions.
Area of Science:
- Biochemistry
- Structural Biology
- Molecular Biology
Background:
- Metamorphic proteins, such as KaiB and XCL1, dynamically switch structures to perform diverse biological functions.
- The intracellular environment's complexity and crowding effects on these conformational changes remain poorly understood.
Purpose of the Study:
- To investigate how crowded cellular environments affect the kinetics and thermodynamics of metamorphic proteins KaiB and XCL1.
- To elucidate the impact of crowding on protein structure, stability, and dynamics.
Main Methods:
- Utilized Nuclear Magnetic Resonance (NMR) spectroscopy to quantify protein behavior.
- Studied two well-characterized metamorphic proteins: circadian clock protein KaiB and human chemokine XCL1.
- Examined protein dynamics in physiologically relevant crowded environments.
Main Results:
- Crowded agents shifted the equilibrium towards the inactive forms of both KaiB and XCL1.
- Crowding predominantly impacted the exchange rate of XCL1 (seconds timescale) more than KaiB (hours timescale).
- Protein structures remained largely undisturbed despite altered dynamics and equilibrium.
Conclusions:
- Crowded intracellular environments influence metamorphic protein function by altering their conformational equilibrium and dynamics.
- Metamorphic proteins can rapidly adapt to environmental changes, enabling diverse cellular functions.
- This study enhances understanding of the sequence-structure-function paradigm in response to cellular environments.
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