Literature DB >> 30733602

The proteostasis network and its decline in ageing.

Mark S Hipp1, Prasad Kasturi1, F Ulrich Hartl2.   

Abstract

Ageing is a major risk factor for the development of many diseases, prominently including neurodegenerative disorders such as Alzheimer disease and Parkinson disease. A hallmark of many age-related diseases is the dysfunction in protein homeostasis (proteostasis), leading to the accumulation of protein aggregates. In healthy cells, a complex proteostasis network, comprising molecular chaperones and proteolytic machineries and their regulators, operates to ensure the maintenance of proteostasis. These factors coordinate protein synthesis with polypeptide folding, the conservation of protein conformation and protein degradation. However, sustaining proteome balance is a challenging task in the face of various external and endogenous stresses that accumulate during ageing. These stresses lead to the decline of proteostasis network capacity and proteome integrity. The resulting accumulation of misfolded and aggregated proteins affects, in particular, postmitotic cell types such as neurons, manifesting in disease. Recent analyses of proteome-wide changes that occur during ageing inform strategies to improve proteostasis. The possibilities of pharmacological augmentation of the capacity of proteostasis networks hold great promise for delaying the onset of age-related pathologies associated with proteome deterioration and for extending healthspan.

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Year:  2019        PMID: 30733602     DOI: 10.1038/s41580-019-0101-y

Source DB:  PubMed          Journal:  Nat Rev Mol Cell Biol        ISSN: 1471-0072            Impact factor:   94.444


  236 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

Review 2.  Quantifying and understanding the fitness effects of protein mutations: Laboratory versus nature.

Authors:  Jeffrey I Boucher; Daniel N A Bolon; Dan S Tawfik
Journal:  Protein Sci       Date:  2016-04-06       Impact factor: 6.725

Review 3.  The biology of proteostasis in aging and disease.

Authors:  Johnathan Labbadia; Richard I Morimoto
Journal:  Annu Rev Biochem       Date:  2015-03-12       Impact factor: 23.643

4.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

Review 5.  Adapting proteostasis for disease intervention.

Authors:  William E Balch; Richard I Morimoto; Andrew Dillin; Jeffery W Kelly
Journal:  Science       Date:  2008-02-15       Impact factor: 63.714

Review 6.  Pathways of cellular proteostasis in aging and disease.

Authors:  Courtney L Klaips; Gopal Gunanathan Jayaraj; F Ulrich Hartl
Journal:  J Cell Biol       Date:  2017-11-10       Impact factor: 10.539

7.  Loss-less Nano-fractionator for High Sensitivity, High Coverage Proteomics.

Authors:  Nils A Kulak; Philipp E Geyer; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2017-01-26       Impact factor: 5.911

8.  Analysis of protein-coding genetic variation in 60,706 humans.

Authors:  Monkol Lek; Konrad J Karczewski; Eric V Minikel; Kaitlin E Samocha; Eric Banks; Timothy Fennell; Anne H O'Donnell-Luria; James S Ware; Andrew J Hill; Beryl B Cummings; Taru Tukiainen; Daniel P Birnbaum; Jack A Kosmicki; Laramie E Duncan; Karol Estrada; Fengmei Zhao; James Zou; Emma Pierce-Hoffman; Joanne Berghout; David N Cooper; Nicole Deflaux; Mark DePristo; Ron Do; Jason Flannick; Menachem Fromer; Laura Gauthier; Jackie Goldstein; Namrata Gupta; Daniel Howrigan; Adam Kiezun; Mitja I Kurki; Ami Levy Moonshine; Pradeep Natarajan; Lorena Orozco; Gina M Peloso; Ryan Poplin; Manuel A Rivas; Valentin Ruano-Rubio; Samuel A Rose; Douglas M Ruderfer; Khalid Shakir; Peter D Stenson; Christine Stevens; Brett P Thomas; Grace Tiao; Maria T Tusie-Luna; Ben Weisburd; Hong-Hee Won; Dongmei Yu; David M Altshuler; Diego Ardissino; Michael Boehnke; John Danesh; Stacey Donnelly; Roberto Elosua; Jose C Florez; Stacey B Gabriel; Gad Getz; Stephen J Glatt; Christina M Hultman; Sekar Kathiresan; Markku Laakso; Steven McCarroll; Mark I McCarthy; Dermot McGovern; Ruth McPherson; Benjamin M Neale; Aarno Palotie; Shaun M Purcell; Danish Saleheen; Jeremiah M Scharf; Pamela Sklar; Patrick F Sullivan; Jaakko Tuomilehto; Ming T Tsuang; Hugh C Watkins; James G Wilson; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2016-08-18       Impact factor: 49.962

9.  A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis.

Authors:  Paola Picotti; Mathieu Clément-Ziza; Henry Lam; David S Campbell; Alexander Schmidt; Eric W Deutsch; Hannes Röst; Zhi Sun; Oliver Rinner; Lukas Reiter; Qin Shen; Jacob J Michaelson; Andreas Frei; Simon Alberti; Ulrike Kusebauch; Bernd Wollscheid; Robert L Moritz; Andreas Beyer; Ruedi Aebersold
Journal:  Nature       Date:  2013-01-20       Impact factor: 49.962

10.  Progressive disruption of cellular protein folding in models of polyglutamine diseases.

Authors:  Tali Gidalevitz; Anat Ben-Zvi; Kim H Ho; Heather R Brignull; Richard I Morimoto
Journal:  Science       Date:  2006-02-09       Impact factor: 63.714

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  236 in total

Review 1.  Studying heat shock proteins through single-molecule mechanical manipulation.

Authors:  Dhawal Choudhary; Laura Mediani; Serena Carra; Ciro Cecconi
Journal:  Cell Stress Chaperones       Date:  2020-04-06       Impact factor: 3.667

Review 2.  Quality control of the mitochondrial proteome.

Authors:  Jiyao Song; Johannes M Herrmann; Thomas Becker
Journal:  Nat Rev Mol Cell Biol       Date:  2020-10-22       Impact factor: 94.444

3.  An inventory of interactors of the human HSP60/HSP10 chaperonin in the mitochondrial matrix space.

Authors:  Anne Sigaard Bie; Cagla Cömert; Roman Körner; Thomas J Corydon; Johan Palmfeldt; Mark S Hipp; F Ulrich Hartl; Peter Bross
Journal:  Cell Stress Chaperones       Date:  2020-02-14       Impact factor: 3.667

Review 4.  The multifaceted nature of αB-crystallin.

Authors:  Junna Hayashi; John A Carver
Journal:  Cell Stress Chaperones       Date:  2020-05-07       Impact factor: 3.667

5.  Multifaceted deregulation of gene expression and protein synthesis with age.

Authors:  Aleksandra S Anisimova; Mark B Meerson; Maxim V Gerashchenko; Ivan V Kulakovskiy; Sergey E Dmitriev; Vadim N Gladyshev
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-23       Impact factor: 11.205

Review 6.  Biomolecular condensates at the nexus of cellular stress, protein aggregation disease and ageing.

Authors:  Simon Alberti; Anthony A Hyman
Journal:  Nat Rev Mol Cell Biol       Date:  2021-01-28       Impact factor: 94.444

7.  Inhibition of p38 Mitogen-Activated Protein Kinase Ameliorates HAP40 Depletion-Induced Toxicity and Proteasomal Defect in Huntington's Disease Model.

Authors:  Zih-Ning Huang; Jie-Mao Chen; Liang-Ching Huang; Yi-Hsuan Fang; Lu-Shiun Her
Journal:  Mol Neurobiol       Date:  2021-01-25       Impact factor: 5.590

Review 8.  Tau: Enabler of diverse brain disorders and target of rapidly evolving therapeutic strategies.

Authors:  Che-Wei Chang; Eric Shao; Lennart Mucke
Journal:  Science       Date:  2021-02-26       Impact factor: 47.728

9.  Predicting Proteolysis in Complex Proteomes Using Deep Learning.

Authors:  Matiss Ozols; Alexander Eckersley; Christopher I Platt; Callum Stewart-McGuinness; Sarah A Hibbert; Jerico Revote; Fuyi Li; Christopher E M Griffiths; Rachel E B Watson; Jiangning Song; Mike Bell; Michael J Sherratt
Journal:  Int J Mol Sci       Date:  2021-03-17       Impact factor: 5.923

10.  Inhibition of mTOR decreases insoluble proteins burden by reducing translation in C. elegans.

Authors:  Zhuangli Yee; Shaun Hsien Yang Lim; Li Fang Ng; Jan Gruber
Journal:  Biogerontology       Date:  2020-11-07       Impact factor: 4.277

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