Literature DB >> 33524026

Design principles for the glycoprotein quality control pathway.

Aidan I Brown1, Elena F Koslover1.   

Abstract

Newly-translated glycoproteins in the endoplasmic reticulum (ER) often undergo cycles of chaperone binding and release in order to assist in folding. Quality control is required to distinguish between proteins that have completed native folding, those that have yet to fold, and those that have misfolded. Using quantitative modeling, we explore how the design of the quality-control pathway modulates its efficiency. Our results show that an energy-consuming cyclic quality-control process, similar to the observed physiological system, outperforms alternative designs. The kinetic parameters that optimize the performance of this system drastically change with protein production levels, while remaining relatively insensitive to the protein folding rate. Adjusting only the degradation rate, while fixing other parameters, allows the pathway to adapt across a range of protein production levels, aligning with in vivo measurements that implicate the release of degradation-associated enzymes as a rapid-response system for perturbations in protein homeostasis. The quantitative models developed here elucidate design principles for effective glycoprotein quality control in the ER, improving our mechanistic understanding of a system crucial to maintaining cellular health.

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Year:  2021        PMID: 33524026      PMCID: PMC7877790          DOI: 10.1371/journal.pcbi.1008654

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  76 in total

1.  The Structure of calnexin, an ER chaperone involved in quality control of protein folding.

Authors:  J D Schrag; J J Bergeron; Y Li; S Borisova; M Hahn; D Y Thomas; M Cygler
Journal:  Mol Cell       Date:  2001-09       Impact factor: 17.970

Review 2.  Unfolding the role of protein misfolding in neurodegenerative diseases.

Authors:  Claudio Soto
Journal:  Nat Rev Neurosci       Date:  2003-01       Impact factor: 34.870

Review 3.  The Unfolded Protein Response: Detecting and Responding to Fluctuations in the Protein-Folding Capacity of the Endoplasmic Reticulum.

Authors:  G Elif Karagöz; Diego Acosta-Alvear; Peter Walter
Journal:  Cold Spring Harb Perspect Biol       Date:  2019-09-03       Impact factor: 10.005

Review 4.  Cellular quality control by the ubiquitin-proteasome system and autophagy.

Authors:  Christian Pohl; Ivan Dikic
Journal:  Science       Date:  2019-11-14       Impact factor: 47.728

5.  The proteome landscape of the kingdoms of life.

Authors:  Johannes B Müller; Philipp E Geyer; Ana R Colaço; Peter V Treit; Maximilian T Strauss; Mario Oroshi; Sophia Doll; Sebastian Virreira Winter; Jakob M Bader; Niklas Köhler; Fabian Theis; Alberto Santos; Matthias Mann
Journal:  Nature       Date:  2020-06-17       Impact factor: 49.962

Review 6.  N-linked sugar-regulated protein folding and quality control in the ER.

Authors:  Abla Tannous; Giorgia Brambilla Pisoni; Daniel N Hebert; Maurizio Molinari
Journal:  Semin Cell Dev Biol       Date:  2014-12-19       Impact factor: 7.727

Review 7.  A sweet code for glycoprotein folding.

Authors:  Julio J Caramelo; Armando J Parodi
Journal:  FEBS Lett       Date:  2015-07-28       Impact factor: 4.124

8.  Consequences of individual N-glycan deletions and of proteasomal inhibition on secretion of active BACE.

Authors:  Omar Vanoni; Paolo Paganetti; Maurizio Molinari
Journal:  Mol Biol Cell       Date:  2008-07-16       Impact factor: 4.138

Review 9.  N-Glycan-based ER Molecular Chaperone and Protein Quality Control System: The Calnexin Binding Cycle.

Authors:  Lydia Lamriben; Jill B Graham; Benjamin M Adams; Daniel N Hebert
Journal:  Traffic       Date:  2016-01-10       Impact factor: 6.215

Review 10.  Design principles of protein biosynthesis-coupled quality control.

Authors:  Monica C Rodrigo-Brenni; Ramanujan S Hegde
Journal:  Dev Cell       Date:  2012-11-13       Impact factor: 12.270

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  2 in total

1.  Diffusive search and trajectories on tubular networks: a propagator approach.

Authors:  Zubenelgenubi C Scott; Aidan I Brown; Saurabh S Mogre; Laura M Westrate; Elena F Koslover
Journal:  Eur Phys J E Soft Matter       Date:  2021-06-18       Impact factor: 1.890

2.  Discovering adaptation-capable biological network structures using control-theoretic approaches.

Authors:  Priyan Bhattacharya; Karthik Raman; Arun K Tangirala
Journal:  PLoS Comput Biol       Date:  2022-01-21       Impact factor: 4.475

  2 in total

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