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Vendruscolo M. The thermodynamic hypothesis of protein aggregation. Mol Aspects Med 2025; 103:101364. [PMID: 40319523 DOI: 10.1016/j.mam.2025.101364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2025] [Revised: 03/30/2025] [Accepted: 04/14/2025] [Indexed: 05/07/2025]
Abstract
Protein misfolding and aggregation drive some of the most prevalent and lethal disorders of our time, including Alzheimer's and Parkinson's diseases, now affecting tens of millions of people worldwide. The complexity of these diseases, which are often multifactorial and related to age and lifestyle, has made it challenging to identify the causes of the accumulation of aberrant protein deposits. An insight into the origins of these deposits comes from reports of a widespread presence of protein aggregates even under normal cellular conditions. This observation is best accounted for by the thermodynamic hypothesis of protein aggregation. According to this hypothesis, many proteins are expressed at levels close to their supersaturation limits, so that their native states are metastable against aggregation. Here we integrate the evidence behind this hypothesis and outline actionable therapeutic strategies that could halt protein aggregation at its source.
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Affiliation(s)
- Michele Vendruscolo
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
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2
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Yuan J, Yang Y, Dai K, Fakhrullin R, Li H, Zhou P, Yuan C, Yan X. Peptide Coacervates: Formation, Mechanism, and Biological Applications. ACS APPLIED MATERIALS & INTERFACES 2025; 17:27697-27712. [PMID: 40304369 DOI: 10.1021/acsami.5c04775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2025]
Abstract
Biomolecular coacervates, dynamic compartments formed via liquid-liquid phase separation (LLPS), are essential for orchestrating intracellular processes and have emerged as versatile tools in bioengineering. Peptides, with their modular amino acid sequences, exhibit unique potential in coacervate design due to their ability to undergo LLPS while offering precise control over molecular architecture and environmental responsiveness. Their simplicity, synthetic accessibility, and tunability make peptide-based coacervates particularly attractive for biomedical and materials applications. However, the formation and stability of these systems depend on a delicate balance of intrinsic factors (e.g., sequence charge, hydrophobicity, and chain length) and extrinsic conditions (e.g., pH, ionic strength, and temperature), necessitating a deeper understanding of their interplay. This review synthesizes recent advances in the molecular mechanisms driving peptide coacervation, emphasizing how sequence design and environmental cues govern phase behavior. We further highlight groundbreaking applications, from drug delivery platforms to protocell mimics, and discuss strategies to translate mechanistic insights into functional materials. By bridging fundamental principles with innovative applications, this work aims to accelerate the development of peptide coacervates as programmable, multifunctional systems, offering a roadmap for next-generation biochemical technologies.
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Affiliation(s)
- Jiewei Yuan
- College of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an 710065, China
| | - Yufan Yang
- State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Ke Dai
- College of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an 710065, China
| | - Rawil Fakhrullin
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan 420008, Republic of Tatarstan, Russia
| | - Hong Li
- College of Chemistry and Chemical Engineering, Xi'an Shiyou University, Xi'an 710065, China
| | - Peng Zhou
- State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Chengqian Yuan
- State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Xuehai Yan
- State Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
- School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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3
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Ayodele T, Tijani A, Liadi M, Alarape K, Clementson C, Hammed A. Biomass-Based Microbial Protein Production: A Review of Processing and Properties. Front Biosci (Elite Ed) 2024; 16:40. [PMID: 39736011 DOI: 10.31083/j.fbe1604040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 10/15/2024] [Accepted: 10/21/2024] [Indexed: 12/31/2024]
Abstract
A rise in population and societal changes have increased pressure on resources required to meet the growing demand for food and changing dietary preferences. The increasing demand for animal protein is concerning and raises questions regarding sustainability due to its environmental impact. Subsequently, scientists seek alternative proteins, such as microbial proteins (MPs), as an environmentally friendly choice. The production of MPs promotes benefits, including reducing deforestation and CO2 emissions. Several microorganism types, such as bacteria, yeast, fungi, and algae, use a variety of substrates for MP production, from agricultural residues to lignocellulosic biomass. These complex substrates, including lignocellulosic biomass, are converted to fermentable sugar through either chemical, physical, or biological methods. Indeed, fermentation can occur through submerged cultures or other methods. However, this depends on the substrate and microorganisms being utilized. MPs have properties that make them versatile and useful ingredients in various applications. Using residues and lignocellulosic biomass as raw materials for producing MPs offers sustainability, cost-effectiveness, and waste reduction advantages. These properties are consistent with the principles established by green chemistry, which aims to conserve resources effectively and operate sustainably in all areas. This review highlights the importance of studying manufacturing aspects and the characteristics associated with MPs, which can be implemented to solve problems and encourage novel methods in the global food/feed industry.
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Affiliation(s)
- Tawakalt Ayodele
- Environmental Sciences, Faculty of Environmental and Conservation Sciences, North Dakota State University, Fargo, ND 58102, USA
| | - Abodunrin Tijani
- Environmental Sciences, Faculty of Environmental and Conservation Sciences, North Dakota State University, Fargo, ND 58102, USA
| | - Musiliu Liadi
- Environmental Sciences, Faculty of Environmental and Conservation Sciences, North Dakota State University, Fargo, ND 58102, USA
| | - Kudirat Alarape
- Environmental Sciences, Faculty of Environmental and Conservation Sciences, North Dakota State University, Fargo, ND 58102, USA
| | - Clairmont Clementson
- Agricultural and Biosystems Engineering, Faculty of Agriculture, North Dakota State University, Fargo, ND 58102, USA
| | - Ademola Hammed
- Environmental Sciences, Faculty of Environmental and Conservation Sciences, North Dakota State University, Fargo, ND 58102, USA
- Agricultural and Biosystems Engineering, Faculty of Agriculture, North Dakota State University, Fargo, ND 58102, USA
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Ma B, Chen H, Gong J, Liu W, Wei X, Zhang Y, Li X, Li M, Wang Y, Shang S, Tian B, Li Y, Wang R, Tan Z. Enhancing Protein Solubility via Glycosylation: From Chemical Synthesis to Machine Learning Predictions. Biomacromolecules 2024; 25:3001-3010. [PMID: 38598264 DOI: 10.1021/acs.biomac.4c00134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Glycosylation is a valuable tool for modulating protein solubility; however, the lack of reliable research strategies has impeded efficient progress in understanding and applying this modification. This study aimed to bridge this gap by investigating the solubility of a model glycoprotein molecule, the carbohydrate-binding module (CBM), through a two-stage process. In the first stage, an approach involving chemical synthesis, comparative analysis, and molecular dynamics simulations of a library of glycoforms was employed to elucidate the effect of different glycosylation patterns on solubility and the key factors responsible for the effect. In the second stage, a predictive mathematical formula, innovatively harnessing machine learning algorithms, was derived to relate solubility to the identified key factors and accurately predict the solubility of the newly designed glycoforms. Demonstrating feasibility and effectiveness, this two-stage approach offers a valuable strategy for advancing glycosylation research, especially for the discovery of glycoforms with increased solubility.
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Affiliation(s)
- Bo Ma
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Hedi Chen
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
| | - Jinyuan Gong
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Wenqiang Liu
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Xiuli Wei
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Yajing Zhang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Xin Li
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Meng Li
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Yani Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Shiying Shang
- Center of Pharmaceutical Technology, School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
| | - Boxue Tian
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China
| | - Yaohao Li
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Ruihan Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
- Chemical Engineering College, Hebei Normal University of Science and Technology, Qinhuangdao 066600, China
| | - Zhongping Tan
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
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Zhang M, Luo M, Chen G, Guo H, Zhao J. Study on the properties of a dual-system-based protein scaffold for orthogonal self-assembly. Int J Biol Macromol 2024; 256:127946. [PMID: 37977451 DOI: 10.1016/j.ijbiomac.2023.127946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/06/2023] [Accepted: 10/30/2023] [Indexed: 11/19/2023]
Abstract
Protein scaffolds possessing the ability to efficiently organize enzymes to improve the catalytic performance, enzyme stability and provide an optimal micro-environment for biocatalysis. Here, SpyCatcher fused to the C-terminus of Treptavidin (a variant of streptavidin) to construct a chimeric tetramers protein scaffold (Tr-SC) with dual orthogonal conjugation moieties. The results showed that the expressed Tr-SC scaffold was an active tetramer with good stability under 80 °C and pH 6.5-8.5, which could bind 4 SpyTag-mCherry and 4 Biotin-EGFP. Tr-SC scaffold can bind 1-4 ligands alone under different conditions. The order in which protein scaffolds bind to proteins has little effect on the final complex structure. It is more difficult for SpyTag-mCherry than Biotin-EGFP to bind to Tr-SC, so incomplete conjugates of a hexameric complex composed of 2 SpyTag-mCherry and 4 Biotin-EGFP form when the molar ratio of scaffold and two ligands is 1:4:4. Therefore, it was suggest that the Tr-SC can first bind to excess SpyTag-protein and mixed with Biotin-protein to promote the formation of higher multimers. The results can be important reference for more extensive use of Tr-SC to construct heterologous protein polymers and assembly of heterologous enzyme molecular machine in vitro to carry on efficient cascade reaction in the future.
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Affiliation(s)
- Meng Zhang
- Department of Bioengineering and Biotechnology, Huaqiao University, Jimei Ave. 668, Xiamen 361021, China
| | - Mianxing Luo
- Department of Bioengineering and Biotechnology, Huaqiao University, Jimei Ave. 668, Xiamen 361021, China
| | - Guo Chen
- Department of Bioengineering and Biotechnology, Huaqiao University, Jimei Ave. 668, Xiamen 361021, China.
| | - Hongwei Guo
- Department of Bioengineering and Biotechnology, Huaqiao University, Jimei Ave. 668, Xiamen 361021, China
| | - Jun Zhao
- Department of Bioengineering and Biotechnology, Huaqiao University, Jimei Ave. 668, Xiamen 361021, China
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Bédard C, Cisneros AF, Jordan D, Landry CR. Correlation between protein abundance and sequence conservation: what do recent experiments say? Curr Opin Genet Dev 2022; 77:101984. [PMID: 36162152 DOI: 10.1016/j.gde.2022.101984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 01/27/2023]
Abstract
Cells evolve in a space of parameter values set by physical and chemical forces. These constraints create associations among cellular properties. A particularly strong association is the negative correlation between the rate of evolution of proteins and their abundance in the cell. Highly expressed proteins evolve slower than lowly expressed ones. Multiple hypotheses have been put forward to explain this relationship, including, for instance, the requirement for higher mRNA stability, misfolding avoidance, and misinteraction avoidance for highly expressed proteins. Here, we review some of these hypotheses, their predictions, and how they are supported to finally discuss recent experiments that have been performed to test these predictions.
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Affiliation(s)
- Camille Bédard
- Département de Biologie, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada; Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada; PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada; Centre de Recherche sur les Données Massives, Université Laval, G1V 0A6, Canada. https://twitter.com/@CamilleBed17
| | - Angel F Cisneros
- Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada; PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada; Centre de Recherche sur les Données Massives, Université Laval, G1V 0A6, Canada; Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada. https://twitter.com/@AngelFCC119
| | - David Jordan
- Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada; PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada; Centre de Recherche sur les Données Massives, Université Laval, G1V 0A6, Canada; Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada. https://twitter.com/@DavidJordan1997
| | - Christian R Landry
- Département de Biologie, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada; Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada; PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada; Centre de Recherche sur les Données Massives, Université Laval, G1V 0A6, Canada; Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada.
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