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Logan CJ, Staton CC, Oliver JT, Bouffard J, Kazmirchuk TDD, Magi M, Brett CL. Thermotolerance in S. cerevisiae as a model to study extracellular vesicle biology. J Extracell Vesicles 2024; 13:e12431. [PMID: 38711329 DOI: 10.1002/jev2.12431] [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: 08/03/2023] [Revised: 02/26/2024] [Accepted: 03/22/2024] [Indexed: 05/08/2024] Open
Abstract
The budding yeast Saccharomyces cerevisiae is a proven model organism for elucidating conserved eukaryotic biology, but to date its extracellular vesicle (EV) biology is understudied. Here, we show yeast transmit information through the extracellular medium that increases survival when confronted with heat stress and demonstrate the EV-enriched samples mediate this thermotolerance transfer. These samples contain vesicle-like particles that are exosome-sized and disrupting exosome biogenesis by targeting endosomal sorting complexes required for transport (ESCRT) machinery inhibits thermotolerance transfer. We find that Bro1, the yeast ortholog of the human exosome biomarker ALIX, is present in EV samples, and use Bro1 tagged with green fluorescent protein (GFP) to track EV release and uptake by endocytosis. Proteomics analysis reveals that heat shock protein 70 (HSP70) family proteins are enriched in EV samples that provide thermotolerance. We confirm the presence of the HSP70 ortholog stress-seventy subunit A2 (Ssa2) in EV samples and find that mutant yeast cells lacking SSA2 produce EVs but they fail to transfer thermotolerance. We conclude that Ssa2 within exosomes shared between yeast cells contributes to thermotolerance. Through this work, we advance Saccharomyces cerevisiae as an emerging model organism for elucidating molecular details of eukaryotic EV biology and establish a role for exosomes in heat stress and proteostasis that seems to be evolutionarily conserved.
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Affiliation(s)
- Curtis John Logan
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | - Claire C Staton
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | | | - Jeff Bouffard
- Department of Biology, Concordia University, Montreal, Quebec, Canada
| | | | - Melissa Magi
- Department of Biology, Concordia University, Montreal, Quebec, Canada
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2
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Veres T, Kerestély M, Kovács BM, Keresztes D, Schulc K, Seitz E, Vassy Z, Veres DV, Csermely P. Cellular forgetting, desensitisation, stress and ageing in signalling networks. When do cells refuse to learn more? Cell Mol Life Sci 2024; 81:97. [PMID: 38372750 PMCID: PMC10876757 DOI: 10.1007/s00018-024-05112-7] [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: 10/09/2023] [Revised: 11/09/2023] [Accepted: 01/02/2024] [Indexed: 02/20/2024]
Abstract
Recent findings show that single, non-neuronal cells are also able to learn signalling responses developing cellular memory. In cellular learning nodes of signalling networks strengthen their interactions e.g. by the conformational memory of intrinsically disordered proteins, protein translocation, miRNAs, lncRNAs, chromatin memory and signalling cascades. This can be described by a generalized, unicellular Hebbian learning process, where those signalling connections, which participate in learning, become stronger. Here we review those scenarios, where cellular signalling is not only repeated in a few times (when learning occurs), but becomes too frequent, too large, or too complex and overloads the cell. This leads to desensitisation of signalling networks by decoupling signalling components, receptor internalization, and consequent downregulation. These molecular processes are examples of anti-Hebbian learning and 'forgetting' of signalling networks. Stress can be perceived as signalling overload inducing the desensitisation of signalling pathways. Ageing occurs by the summative effects of cumulative stress downregulating signalling. We propose that cellular learning desensitisation, stress and ageing may be placed along the same axis of more and more intensive (prolonged or repeated) signalling. We discuss how cells might discriminate between repeated and unexpected signals, and highlight the Hebbian and anti-Hebbian mechanisms behind the fold-change detection in the NF-κB signalling pathway. We list drug design methods using Hebbian learning (such as chemically-induced proximity) and clinical treatment modalities inducing (cancer, drug allergies) desensitisation or avoiding drug-induced desensitisation. A better discrimination between cellular learning, desensitisation and stress may open novel directions in drug design, e.g. helping to overcome drug resistance.
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Affiliation(s)
- Tamás Veres
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Márk Kerestély
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Borbála M Kovács
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Dávid Keresztes
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Klára Schulc
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
- Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary
| | - Erik Seitz
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Zsolt Vassy
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Dániel V Veres
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
- Turbine Ltd, Budapest, Hungary
| | - Peter Csermely
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary.
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3
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Jay-Garcia LM, Cornell JL, Howie RL, Faber QL, Salas A, Chernova TA, Chernoff YO. Yeast Chaperone Hsp70-Ssb Modulates a Variety of Protein-Based Heritable Elements. Int J Mol Sci 2023; 24:ijms24108660. [PMID: 37240005 DOI: 10.3390/ijms24108660] [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: 04/11/2023] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
Prions are transmissible self-perpetuating protein isoforms associated with diseases and heritable traits. Yeast prions and non-transmissible protein aggregates (mnemons) are frequently based on cross-β ordered fibrous aggregates (amyloids). The formation and propagation of yeast prions are controlled by chaperone machinery. Ribosome-associated chaperone Hsp70-Ssb is known (and confirmed here) to modulate formation and propagation of the prion form of the Sup35 protein [PSI+]. Our new data show that both formation and mitotic transmission of the stress-inducible prion form of the Lsb2 protein ([LSB+]) are also significantly increased in the absence of Ssb. Notably, heat stress leads to a massive accumulation of [LSB+] cells in the absence of Ssb, implicating Ssb as a major downregulator of the [LSB+]-dependent memory of stress. Moreover, the aggregated form of Gγ subunit Ste18, [STE+], behaving as a non-heritable mnemon in the wild-type strain, is generated more efficiently and becomes heritable in the absence of Ssb. Lack of Ssb also facilitates mitotic transmission, while lack of the Ssb cochaperone Hsp40-Zuo1 facilitates both spontaneous formation and mitotic transmission of the Ure2 prion, [URE3]. These results demonstrate that Ssb is a general modulator of cytosolic amyloid aggregation, whose effect is not restricted only to [PSI+].
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Affiliation(s)
- Lina M Jay-Garcia
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Joseph L Cornell
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Rebecca L Howie
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Quincy L Faber
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Abigail Salas
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Tatiana A Chernova
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Yury O Chernoff
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
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4
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England JL. Self-organized computation in the far-from-equilibrium cell. BIOPHYSICS REVIEWS 2022; 3:041303. [PMID: 38505518 PMCID: PMC10903489 DOI: 10.1063/5.0103151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 12/12/2022] [Indexed: 03/21/2024]
Abstract
Recent progress in our understanding of the physics of self-organization in active matter has pointed to the possibility of spontaneous collective behaviors that effectively compute things about the patterns in the surrounding patterned environment. Here, we describe this progress and speculate about its implications for our understanding of the internal organization of the living cell.
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Affiliation(s)
- Jeremy L England
- School of Physics, Georgia Institute of Technology, 837 State St NW, Atlanta, Georgia 30332, USA and GSK.ai, GlaxoSmithKline, 46 Menachem Begin, Ninth Floor, Tel Aviv, Israel
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5
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Santiago E, Moreno DF, Acar M. Phenotypic plasticity as a facilitator of microbial evolution. ENVIRONMENTAL EPIGENETICS 2022; 8:dvac020. [PMID: 36465837 PMCID: PMC9709823 DOI: 10.1093/eep/dvac020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 09/27/2022] [Accepted: 11/16/2022] [Indexed: 06/17/2023]
Abstract
Tossed about by the tides of history, the inheritance of acquired characteristics has found a safe harbor at last in the rapidly expanding field of epigenetics. The slow pace of genetic variation and high opportunity cost associated with maintaining a diverse genetic pool are well-matched by the flexibility of epigenetic traits, which can enable low-cost exploration of phenotypic space and reactive tuning to environmental pressures. Aiding in the generation of a phenotypically plastic population, epigenetic mechanisms often provide a hotbed of innovation for countering environmental pressures, while the potential for genetic fixation can lead to strong epigenetic-genetic evolutionary synergy. At the level of cells and cellular populations, we begin this review by exploring the breadth of mechanisms for the storage and intergenerational transmission of epigenetic information, followed by a brief review of common and exotic epigenetically regulated phenotypes. We conclude by offering an in-depth coverage of recent papers centered around two critical issues: the evolvability of epigenetic traits through Baldwinian adaptive phenotypic plasticity and the potential for synergy between epigenetic and genetic evolution.
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Affiliation(s)
- Emerson Santiago
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA
| | - David F Moreno
- Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA
- Systems Biology Institute, Yale University, 850 West Campus Drive, West Haven, CT 06516, USA
| | - Murat Acar
- *Correspondence address. Department of Molecular Cellular and Developmental Biology, Yale University, 219 Prospect Street, New Haven, CT 06511, USA. Tel: +90 (543) 304-0388; E-mail:
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Muronetz VI, Kudryavtseva SS, Leisi EV, Kurochkina LP, Barinova KV, Schmalhausen EV. Regulation by Different Types of Chaperones of Amyloid Transformation of Proteins Involved in the Development of Neurodegenerative Diseases. Int J Mol Sci 2022; 23:ijms23052747. [PMID: 35269889 PMCID: PMC8910861 DOI: 10.3390/ijms23052747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 02/21/2022] [Accepted: 02/28/2022] [Indexed: 02/06/2023] Open
Abstract
The review highlights various aspects of the influence of chaperones on amyloid proteins associated with the development of neurodegenerative diseases and includes studies conducted in our laboratory. Different sections of the article are devoted to the role of chaperones in the pathological transformation of alpha-synuclein and the prion protein. Information about the interaction of the chaperonins GroE and TRiC as well as polymer-based artificial chaperones with amyloidogenic proteins is summarized. Particular attention is paid to the effect of blocking chaperones by misfolded and amyloidogenic proteins. It was noted that the accumulation of functionally inactive chaperones blocked by misfolded proteins might cause the formation of amyloid aggregates and prevent the disassembly of fibrillar structures. Moreover, the blocking of chaperones by various forms of amyloid proteins might lead to pathological changes in the vital activity of cells due to the impaired folding of newly synthesized proteins and their subsequent processing. The final section of the article discusses both the little data on the role of gut microbiota in the propagation of synucleinopathies and prion diseases and the possible involvement of the bacterial chaperone GroE in these processes.
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Affiliation(s)
- Vladimir I. Muronetz
- Belozersky Institute of Physico Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia; (L.P.K.); (K.V.B.); (E.V.S.)
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 119991 Moscow, Russia;
- Correspondence:
| | - Sofia S. Kudryavtseva
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 119991 Moscow, Russia;
- Faculty of Biology, Lomonosov Moscow State University, 119991 Moscow, Russia;
| | - Evgeniia V. Leisi
- Faculty of Biology, Lomonosov Moscow State University, 119991 Moscow, Russia;
| | - Lidia P. Kurochkina
- Belozersky Institute of Physico Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia; (L.P.K.); (K.V.B.); (E.V.S.)
| | - Kseniya V. Barinova
- Belozersky Institute of Physico Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia; (L.P.K.); (K.V.B.); (E.V.S.)
| | - Elena V. Schmalhausen
- Belozersky Institute of Physico Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia; (L.P.K.); (K.V.B.); (E.V.S.)
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7
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Ismail H, Liu X, Yang F, Li J, Zahid A, Dou Z, Liu X, Yao X. Mechanisms and regulation underlying membraneless organelle plasticity control. J Mol Cell Biol 2021; 13:239-258. [PMID: 33914074 PMCID: PMC8339361 DOI: 10.1093/jmcb/mjab028] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 03/31/2021] [Accepted: 04/06/2021] [Indexed: 12/11/2022] Open
Abstract
Evolution has enabled living cells to adopt their structural and functional complexity by organizing intricate cellular compartments, such as membrane-bound and membraneless organelles (MLOs), for spatiotemporal catalysis of physiochemical reactions essential for cell plasticity control. Emerging evidence and view support the notion that MLOs are built by multivalent interactions of biomolecules via phase separation and transition mechanisms. In healthy cells, dynamic chemical modifications regulate MLO plasticity, and reversible phase separation is essential for cell homeostasis. Emerging evidence revealed that aberrant phase separation results in numerous neurodegenerative disorders, cancer, and other diseases. In this review, we provide molecular underpinnings on (i) mechanistic understanding of phase separation, (ii) unifying structural and mechanistic principles that underlie this phenomenon, (iii) various mechanisms that are used by cells for the regulation of phase separation, and (iv) emerging therapeutic and other applications.
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Affiliation(s)
- Hazrat Ismail
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
| | - Xu Liu
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity Control, Atlanta, GA 30310, USA
| | - Fengrui Yang
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
- Keck Center for Organoids Plasticity Control, Atlanta, GA 30310, USA
| | - Junying Li
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Cellular Dynamics & Chemical Biology, Hefei 230027, China
| | - Ayesha Zahid
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
| | - Zhen Dou
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
| | - Xing Liu
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Cellular Dynamics & Chemical Biology, Hefei 230027, China
| | - Xuebiao Yao
- MOE Key Laboratory for Membraneless Organelles & Cellular Dynamics and CAS Center for Excellence in Molecular Cell Science, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230027, China
- Anhui Key Laboratory for Cellular Dynamics & Chemical Biology, Hefei 230027, China
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8
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Eigenfeld M, Kerpes R, Becker T. Understanding the Impact of Industrial Stress Conditions on Replicative Aging in Saccharomyces cerevisiae. FRONTIERS IN FUNGAL BIOLOGY 2021; 2:665490. [PMID: 37744109 PMCID: PMC10512339 DOI: 10.3389/ffunb.2021.665490] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 03/30/2021] [Indexed: 09/26/2023]
Abstract
In yeast, aging is widely understood as the decline of physiological function and the decreasing ability to adapt to environmental changes. Saccharomyces cerevisiae has become an important model organism for the investigation of these processes. Yeast is used in industrial processes (beer and wine production), and several stress conditions can influence its intracellular aging processes. The aim of this review is to summarize the current knowledge on applied stress conditions, such as osmotic pressure, primary metabolites (e.g., ethanol), low pH, oxidative stress, heat on aging indicators, age-related physiological changes, and yeast longevity. There is clear evidence that yeast cells are exposed to many stressors influencing viability and vitality, leading to an age-related shift in age distribution. Currently, there is a lack of rapid, non-invasive methods allowing the investigation of aspects of yeast aging in real time on a single-cell basis using the high-throughput approach. Methods such as micromanipulation, centrifugal elutriator, or biotinylation do not provide real-time information on age distributions in industrial processes. In contrast, innovative approaches, such as non-invasive fluorescence coupled flow cytometry intended for high-throughput measurements, could be promising for determining the replicative age of yeast cells in fermentation and its impact on industrial stress conditions.
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Affiliation(s)
| | - Roland Kerpes
- Research Group Beverage and Cereal Biotechnology, Institute of Brewing and Beverage Technology, Technical University of Munich, Freising, Germany
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9
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Defining the role of the polyasparagine repeat domain of the S. cerevisiae transcription factor Azf1p. PLoS One 2021; 16:e0247285. [PMID: 34019539 PMCID: PMC8139511 DOI: 10.1371/journal.pone.0247285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 04/26/2021] [Indexed: 11/23/2022] Open
Abstract
Across eukaryotes, homopolymeric repeats of amino acids are enriched in regulatory proteins such as transcription factors and chromatin remodelers. These domains play important roles in signaling, binding, prion formation, and functional phase separation. Azf1p is a prion-forming yeast transcription factor that contains two homorepeat domains, a polyglutamine and a polyasparagine domain. In this work, we report a new phenotype for Azf1p and identify a large set of genes that are regulated by Azf1p during growth in glucose. We show that the polyasparagine (polyN) domain plays a subtle role in transcription but is dispensable for Azf1p localization and prion formation. Genes upregulated upon deletion of the polyN domain are enriched in functions related to carbon metabolism and storage. This domain may therefore be a useful target for engineering yeast strains for fermentation applications and small molecule production. We also report that both the polyasparagine and polyglutamine domains vary in length across strains of S. cerevisiae and propose a model for how this variation may impact protein function.
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10
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Oamen HP, Lau Y, Caudron F. Prion-like proteins as epigenetic devices of stress adaptation. Exp Cell Res 2020; 396:112262. [DOI: 10.1016/j.yexcr.2020.112262] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 08/26/2020] [Accepted: 08/30/2020] [Indexed: 01/03/2023]
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11
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Aggregation and Prion-Inducing Properties of the G-Protein Gamma Subunit Ste18 are Regulated by Membrane Association. Int J Mol Sci 2020; 21:ijms21145038. [PMID: 32708832 PMCID: PMC7403958 DOI: 10.3390/ijms21145038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 07/03/2020] [Accepted: 07/09/2020] [Indexed: 12/17/2022] Open
Abstract
Yeast prions and mnemons are respectively transmissible and non-transmissible self-perpetuating protein assemblies, frequently based on cross-β ordered detergent-resistant aggregates (amyloids). Prions cause devastating diseases in mammals and control heritable traits in yeast. It was shown that the de novo formation of the prion form [PSI+] of yeast release factor Sup35 is facilitated by aggregates of other proteins. Here we explore the mechanism of the promotion of [PSI+] formation by Ste18, an evolutionarily conserved gamma subunit of a G-protein coupled receptor, a key player in responses to extracellular stimuli. Ste18 forms detergent-resistant aggregates, some of which are colocalized with de novo generated Sup35 aggregates. Membrane association of Ste18 is required for both Ste18 aggregation and [PSI+] induction, while functional interactions involved in signal transduction are not essential for these processes. This emphasizes the significance of a specific location for the nucleation of protein aggregation. In contrast to typical prions, Ste18 aggregates do not show a pattern of heritability. Our finding that Ste18 levels are regulated by the ubiquitin-proteasome system, in conjunction with the previously reported increase in Ste18 levels upon the exposure to mating pheromone, suggests that the concentration-dependent Ste18 aggregation may mediate a mnemon-like response to physiological stimuli.
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12
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Chernoff YO, Grizel AV, Rubel AA, Zelinsky AA, Chandramowlishwaran P, Chernova TA. Application of yeast to studying amyloid and prion diseases. ADVANCES IN GENETICS 2020; 105:293-380. [PMID: 32560789 PMCID: PMC7527210 DOI: 10.1016/bs.adgen.2020.01.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Amyloids are fibrous cross-β protein aggregates that are capable of proliferation via nucleated polymerization. Amyloid conformation likely represents an ancient protein fold and is linked to various biological or pathological manifestations. Self-perpetuating amyloid-based protein conformers provide a molecular basis for transmissible (infectious or heritable) protein isoforms, termed prions. Amyloids and prions, as well as other types of misfolded aggregated proteins are associated with a variety of devastating mammalian and human diseases, such as Alzheimer's, Parkinson's and Huntington's diseases, transmissible spongiform encephalopathies (TSEs), amyotrophic lateral sclerosis (ALS) and transthyretinopathies. In yeast and fungi, amyloid-based prions control phenotypically detectable heritable traits. Simplicity of cultivation requirements and availability of powerful genetic approaches makes yeast Saccharomyces cerevisiae an excellent model system for studying molecular and cellular mechanisms governing amyloid formation and propagation. Genetic techniques allowing for the expression of mammalian or human amyloidogenic and prionogenic proteins in yeast enable researchers to capitalize on yeast advantages for characterization of the properties of disease-related proteins. Chimeric constructs employing mammalian and human aggregation-prone proteins or domains, fused to fluorophores or to endogenous yeast proteins allow for cytological or phenotypic detection of disease-related protein aggregation in yeast cells. Yeast systems are amenable to high-throughput screening for antagonists of amyloid formation, propagation and/or toxicity. This review summarizes up to date achievements of yeast assays in application to studying mammalian and human disease-related aggregating proteins, and discusses both limitations and further perspectives of yeast-based strategies.
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Affiliation(s)
- Yury O Chernoff
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States; Laboratory of Amyloid Biology, St. Petersburg State University, St. Petersburg, Russia.
| | - Anastasia V Grizel
- Laboratory of Amyloid Biology, St. Petersburg State University, St. Petersburg, Russia
| | - Aleksandr A Rubel
- Laboratory of Amyloid Biology, St. Petersburg State University, St. Petersburg, Russia; Department of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg, Russia; Sirius University of Science and Technology, Sochi, Russia
| | - Andrew A Zelinsky
- Laboratory of Amyloid Biology, St. Petersburg State University, St. Petersburg, Russia
| | | | - Tatiana A Chernova
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, United States
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13
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Abstract
The traditional view of protein aggregation as being strictly disease-related has been challenged by many examples of cellular aggregates that regulate beneficial biological functions. When coupled with the emerging view that many regulatory proteins undergo phase separation to form dynamic cellular compartments, it has become clear that supramolecular assembly plays wide-ranging and critical roles in cellular regulation. This presents opportunities to develop new tools to probe and illuminate this biology, and to harness the unique properties of these self-assembling systems for synthetic biology for the purposeful manipulation of biological function.
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Affiliation(s)
- Giulio Chiesa
- Biological Design Center, Boston University, Boston, MA, 02215, USA.,Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA
| | - Szilvia Kiriakov
- Biological Design Center, Boston University, Boston, MA, 02215, USA.,Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA
| | - Ahmad S Khalil
- Biological Design Center, Boston University, Boston, MA, 02215, USA. .,Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA. .,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA.
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14
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Learning of Signaling Networks: Molecular Mechanisms. Trends Biochem Sci 2020; 45:284-294. [PMID: 32008897 DOI: 10.1016/j.tibs.2019.12.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 11/28/2019] [Accepted: 12/31/2019] [Indexed: 01/03/2023]
Abstract
Molecular processes of neuronal learning have been well described. However, learning mechanisms of non-neuronal cells are not yet fully understood at the molecular level. Here, we discuss molecular mechanisms of cellular learning, including conformational memory of intrinsically disordered proteins (IDPs) and prions, signaling cascades, protein translocation, RNAs [miRNA and long noncoding RNA (lncRNA)], and chromatin memory. We hypothesize that these processes constitute the learning of signaling networks and correspond to a generalized Hebbian learning process of single, non-neuronal cells, and we discuss how cellular learning may open novel directions in drug design and inspire new artificial intelligence methods.
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15
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Stan RC, Bhatt DK, Camargo MM. Cellular Adaptation Relies on Regulatory Proteins Having Episodic Memory. Bioessays 2019; 42:e1900115. [DOI: 10.1002/bies.201900115] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 11/06/2019] [Indexed: 02/05/2023]
Affiliation(s)
- Razvan C. Stan
- Cantacuzino National Military‐Medical Institute for Research‐Development Bucharest 050096 Romania
- Department of ImmunologyUniversity of São Paulo São Paulo 05508‐900 Brazil
| | - Darshak K. Bhatt
- Faculty of Medical SciencesGroningen University Groningen 9700 AB The Netherlands
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Yeast Models for Amyloids and Prions: Environmental Modulation and Drug Discovery. Molecules 2019; 24:molecules24183388. [PMID: 31540362 PMCID: PMC6767215 DOI: 10.3390/molecules24183388] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 09/10/2019] [Accepted: 09/16/2019] [Indexed: 12/11/2022] Open
Abstract
Amyloids are self-perpetuating protein aggregates causing neurodegenerative diseases in mammals. Prions are transmissible protein isoforms (usually of amyloid nature). Prion features were recently reported for various proteins involved in amyloid and neural inclusion disorders. Heritable yeast prions share molecular properties (and in the case of polyglutamines, amino acid composition) with human disease-related amyloids. Fundamental protein quality control pathways, including chaperones, the ubiquitin proteasome system and autophagy are highly conserved between yeast and human cells. Crucial cellular proteins and conditions influencing amyloids and prions were uncovered in the yeast model. The treatments available for neurodegenerative amyloid-associated diseases are few and their efficiency is limited. Yeast models of amyloid-related neurodegenerative diseases have become powerful tools for high-throughput screening for chemical compounds and FDA-approved drugs that reduce aggregation and toxicity of amyloids. Although some environmental agents have been linked to certain amyloid diseases, the molecular basis of their action remains unclear. Environmental stresses trigger amyloid formation and loss, acting either via influencing intracellular concentrations of the amyloidogenic proteins or via heterologous inducers of prions. Studies of environmental and physiological regulation of yeast prions open new possibilities for pharmacological intervention and/or prophylactic procedures aiming on common cellular systems rather than the properties of specific amyloids.
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Howie RL, Jay-Garcia LM, Kiktev DA, Faber QL, Murphy M, Rees KA, Sachwani N, Chernoff YO. Role of the Cell Asymmetry Apparatus and Ribosome-Associated Chaperones in the Destabilization of a Saccharomyces cerevisiae Prion by Heat Shock. Genetics 2019; 212:757-771. [PMID: 31142614 PMCID: PMC6614889 DOI: 10.1534/genetics.119.302237] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 06/10/2019] [Indexed: 11/18/2022] Open
Abstract
Self-perpetuating transmissible protein aggregates, termed prions, are implicated in mammalian diseases and control phenotypically detectable traits in Saccharomyces cerevisiae Yeast stress-inducible chaperone proteins, including Hsp104 and Hsp70-Ssa that counteract cytotoxic protein aggregation, also control prion propagation. Stress-damaged proteins that are not disaggregated by chaperones are cleared from daughter cells via mother-specific asymmetric segregation in cell divisions following heat shock. Short-term mild heat stress destabilizes [PSI+ ], a prion isoform of the yeast translation termination factor Sup35 This destabilization is linked to the induction of the Hsp104 chaperone. Here, we show that the region of Hsp104 known to be required for curing by artificially overproduced Hsp104 is also required for heat-shock-mediated [PSI+ ] destabilization. Moreover, deletion of the SIR2 gene, coding for a deacetylase crucial for asymmetric segregation of heat-damaged proteins, also counteracts heat-shock-mediated destabilization of [PSI+ ], and Sup35 aggregates are colocalized with aggregates of heat-damaged proteins marked by Hsp104-GFP. These results support the role of asymmetric segregation in prion destabilization. Finally, we show that depletion of the heat-shock noninducible ribosome-associated chaperone Hsp70-Ssb decreases heat-shock-mediated destabilization of [PSI+ ], while disruption of a cochaperone complex mediating the binding of Hsp70-Ssb to the ribosome increases prion loss. Our data indicate that Hsp70-Ssb relocates from the ribosome to the cytosol during heat stress. Cytosolic Hsp70-Ssb has been shown to antagonize the function of Hsp70-Ssa in prion propagation, which explains the Hsp70-Ssb effect on prion destabilization by heat shock. This result uncovers the stress-related role of a stress noninducible chaperone.
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Affiliation(s)
- Rebecca L Howie
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332
| | | | - Denis A Kiktev
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332
- Laboratory of Amyloid Biology, St. Petersburg State University, Russia 199034
| | - Quincy L Faber
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332
| | - Margaret Murphy
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332
| | - Katherine A Rees
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332
| | - Numera Sachwani
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332
| | - Yury O Chernoff
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332
- Laboratory of Amyloid Biology, St. Petersburg State University, Russia 199034
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Stress-induced protein aggregates shape population heterogeneity in bacteria. Curr Genet 2019; 65:865-869. [PMID: 30820637 DOI: 10.1007/s00294-019-00947-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 02/18/2019] [Accepted: 02/20/2019] [Indexed: 02/07/2023]
Abstract
The concept of phenotypic heterogeneity preparing a subpopulation of isogenic cells to better cope with anticipated stresses has been well established. However, less is known about how stress itself can drive subsequent cellular individualization in clonal populations. In this perspective, we focus on the impact of stress-induced cellular protein aggregates, and how their segregation and disaggregation can act as a deterministic incentive for heterogeneity in the population emerging from a stressed ancestor.
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Wilson CJ, Bommarius AS, Champion JA, Chernoff YO, Lynn DG, Paravastu AK, Liang C, Hsieh MC, Heemstra JM. Biomolecular Assemblies: Moving from Observation to Predictive Design. Chem Rev 2018; 118:11519-11574. [PMID: 30281290 PMCID: PMC6650774 DOI: 10.1021/acs.chemrev.8b00038] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Biomolecular assembly is a key driving force in nearly all life processes, providing structure, information storage, and communication within cells and at the whole organism level. These assembly processes rely on precise interactions between functional groups on nucleic acids, proteins, carbohydrates, and small molecules, and can be fine-tuned to span a range of time, length, and complexity scales. Recognizing the power of these motifs, researchers have sought to emulate and engineer biomolecular assemblies in the laboratory, with goals ranging from modulating cellular function to the creation of new polymeric materials. In most cases, engineering efforts are inspired or informed by understanding the structure and properties of naturally occurring assemblies, which has in turn fueled the development of predictive models that enable computational design of novel assemblies. This Review will focus on selected examples of protein assemblies, highlighting the story arc from initial discovery of an assembly, through initial engineering attempts, toward the ultimate goal of predictive design. The aim of this Review is to highlight areas where significant progress has been made, as well as to outline remaining challenges, as solving these challenges will be the key that unlocks the full power of biomolecules for advances in technology and medicine.
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Affiliation(s)
- Corey J. Wilson
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Andreas S. Bommarius
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Julie A. Champion
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Yury O. Chernoff
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
- Laboratory of Amyloid Biology & Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg 199034, Russia
| | - David G. Lynn
- Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States
| | - Anant K. Paravastu
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Chen Liang
- Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States
| | - Ming-Chien Hsieh
- Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States
| | - Jennifer M. Heemstra
- Department of Chemistry, Emory University, Atlanta, Georgia 30322, United States
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