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Gill JK, Shaw GS. Using Förster Resonance Energy Transfer (FRET) to Understand the Ubiquitination Landscape. Chembiochem 2024:e202400193. [PMID: 38632088 DOI: 10.1002/cbic.202400193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/15/2024] [Accepted: 04/17/2024] [Indexed: 04/19/2024]
Abstract
Förster resonance energy transfer (FRET) is a fluorescence technique that allows quantitative measurement of protein interactions, kinetics and dynamics. This review covers the use of FRET to study the structures and mechanisms of ubiquitination and related proteins. We survey FRET assays that have been developed where donor and acceptor fluorophores are placed on E1, E2 or E3 enzymes and ubiquitin (Ub) to monitor steady-state and real-time transfer of Ub through the ubiquitination cascade. Specialized FRET probes placed on Ub and Ub-like proteins have been developed to monitor Ub removal by deubiquitinating enzymes (DUBs) that result in a loss of a FRET signal upon cleavage of the FRET probes. FRET has also been used to understand conformational changes in large complexes such as multimeric E3 ligases and the proteasome, frequently using sophisticated single molecule methods. Overall, FRET is a powerful tool to help unravel the intricacies of the complex ubiquitination system.
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Affiliation(s)
- Jashanjot Kaur Gill
- Department of Biochemistry, University of Western Ontario, London, Ontario, Canada, N6A5C1
| | - Gary S Shaw
- Department of Biochemistry, University of Western Ontario, London, Ontario, Canada, N6A5C1
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Lei T, Xiao Z, Bi W, Cai S, Yang Y, Du H. Targeting small heat shock proteins to degrade aggregates as a potential strategy in neurodegenerative diseases. Ageing Res Rev 2022; 82:101769. [PMID: 36283618 DOI: 10.1016/j.arr.2022.101769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/18/2022] [Accepted: 10/21/2022] [Indexed: 01/31/2023]
Abstract
Neurodegenerative diseases (NDs) are aging-related diseases that involve the death of neurons in the brain. Dysregulation of protein homeostasis leads to the production of toxic proteins or the formation of aggregates, which is the pathological basis of NDs. Small heat shock proteins (HSPB) is involved in the establishment of a protein quality control (PQC) system to maintain cellular homeostasis. HSPB can be secreted into the extracellular space and delivered by various routes, especially extracellular vehicles (EVs). HSPB plays an important role in influencing the aggregation phase of toxic proteins involved in heat shock transcription factor (HSF) regulation, oxidative stress, autophagy and apoptosis pathways. HSPB conferred neuroprotective effects by resisting toxic protein aggregation, reducing autophagy and reducing neuronal apoptosis. The HSPB treatment strategies, including targeted PQC system therapy and delivery of EVs-HSPB, can improve disease manifestations for NDs. This review aims to provide a comprehensive insight into the impact of HSPB in NDs and the feasibility of new technology to enhance HSPB expression and EVs-HSPB delivery for neurodegenerative disease.
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Affiliation(s)
- Tong Lei
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Zhuangzhuang Xiao
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Wangyu Bi
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Shanglin Cai
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Yanjie Yang
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Hongwu Du
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China.
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