Literature DB >> 33556866

Proteome Turnover in the Spotlight: Approaches, Applications, and Perspectives.

Alison Barbara Ross1, Julian David Langer2, Marko Jovanovic3.   

Abstract

In all cells, proteins are continuously synthesized and degraded to maintain protein homeostasis and modify gene expression levels in response to stimuli. Collectively, the processes of protein synthesis and degradation are referred to as protein turnover. At a steady state, protein turnover is constant to maintain protein homeostasis, but in dynamic responses, proteins change their rates of synthesis and degradation to adjust their proteomes to internal or external stimuli. Thus, probing the kinetics and dynamics of protein turnover lends insight into how cells regulate essential processes such as growth, differentiation, and stress response. Here, we outline historical and current approaches to measuring the kinetics of protein turnover on a proteome-wide scale in both steady-state and dynamic systems, with an emphasis on metabolic tracing using stable isotope-labeled amino acids. We highlight important considerations for designing proteome turnover experiments, key biological findings regarding the conserved principles of proteome turnover regulation, and future perspectives for both technological and biological investigation.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dynamic SILAC; Mass spectrometry; Protein degradation; Protein synthesis; Proteome turnover; Proteomics; pSILAC

Mesh:

Substances:

Year:  2020        PMID: 33556866      PMCID: PMC7950106          DOI: 10.1074/mcp.R120.002190

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  12 in total

1.  A review on cullin neddylation and strategies to identify its inhibitors for cancer therapy.

Authors:  Iqra Bano; Moolchand Malhi; Min Zhao; Liviu Giurgiulescu; Hira Sajjad; Marek Kieliszek
Journal:  3 Biotech       Date:  2022-03-29       Impact factor: 2.406

2.  Proteome-wide mapping of short-lived proteins in human cells.

Authors:  Jiaming Li; Zhenying Cai; Laura Pontano Vaites; Ning Shen; Dylan C Mitchell; Edward L Huttlin; Joao A Paulo; Brian L Harry; Steven P Gygi
Journal:  Mol Cell       Date:  2021-10-08       Impact factor: 17.970

Review 3.  Advances in stable isotope labeling: dynamic labeling for spatial and temporal proteomic analysis.

Authors:  Nicole C Beller; Amanda B Hummon
Journal:  Mol Omics       Date:  2022-08-15

4.  Protein lifetimes in aged brains reveal a proteostatic adaptation linking physiological aging to neurodegeneration.

Authors:  Verena Kluever; Belisa Russo; Sunit Mandad; Nisha Hemandhar Kumar; Mihai Alevra; Alessandro Ori; Silvio O Rizzoli; Henning Urlaub; Anja Schneider; Eugenio F Fornasiero
Journal:  Sci Adv       Date:  2022-05-20       Impact factor: 14.957

5.  Protein turnover models for LC-MS data of heavy water metabolic labeling.

Authors:  Rovshan G Sadygov
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

6.  An atlas of protein turnover rates in mouse tissues.

Authors:  Zach Rolfs; Brian L Frey; Xudong Shi; Yoshitaka Kawai; Lloyd M Smith; Nathan V Welham
Journal:  Nat Commun       Date:  2021-11-26       Impact factor: 14.919

7.  Neuronal ribosomes exhibit dynamic and context-dependent exchange of ribosomal proteins.

Authors:  Kristina Desch; Aline R Dörrbaum; Claudia M Fusco; Mantian Wang; Anja Staab; Ivy C W Chan; Eleanor Vail; Veronica Villeri; Julian D Langer; Erin M Schuman
Journal:  Nat Commun       Date:  2021-10-21       Impact factor: 14.919

8.  Multi-omics protein-coding units as massively parallel Bayesian networks: Empirical validation of causality structure.

Authors:  Alberto Zenere; Olof Rundquist; Mika Gustafsson; Claudio Altafini
Journal:  iScience       Date:  2022-03-11

Review 9.  Self-Organization and Information Processing: From Basic Enzymatic Activities to Complex Adaptive Cellular Behavior.

Authors:  Ildefonso M De la Fuente; Luis Martínez; Jose Carrasco-Pujante; Maria Fedetz; José I López; Iker Malaina
Journal:  Front Genet       Date:  2021-05-21       Impact factor: 4.599

10.  The Effect of Interferons on Presentation of Defective Ribosomal Products as HLA Peptides.

Authors:  Liran Komov; Dganit Melamed Kadosh; Eilon Barnea; Arie Admon
Journal:  Mol Cell Proteomics       Date:  2021-06-01       Impact factor: 5.911

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