Literature DB >> 33786460

Protocol for intervention-free quantification of protein turnover rate by steady-state modeling.

Stefania Marcotti1, Besaiz Jose Sánchez-Sánchez1, Eduardo Serna-Morales1, Anca Dragu1, María-Del-Carmen Díaz-de-la-Loza1, Yutaka Matsubayashi1, Brian Marc Stramer1.   

Abstract

Protein turnover rate is difficult to obtain experimentally. This protocol shows how to mathematically model turnover rates in an intervention-free manner given the ability to quantify mRNA and protein expression from initiation to homeostasis. This approach can be used to calculate production and degradation rates and to infer protein half-life. This model was successfully employed to quantify turnover during Drosophila embryogenesis, and we hypothesize that it will be applicable to diverse in vivo or in vitro systems. For complete details on the use and execution of this protocol, please refer to Matsubayashi et al. (2020).
© 2021 The Author(s).

Entities:  

Keywords:  Bioinformatics; Cell biology; Model organisms; Molecular biology; Protein biochemistry

Mesh:

Substances:

Year:  2021        PMID: 33786460      PMCID: PMC7988239          DOI: 10.1016/j.xpro.2021.100377

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


  17 in total

1.  A protein trap strategy to detect GFP-tagged proteins expressed from their endogenous loci in Drosophila.

Authors:  X Morin; R Daneman; M Zavortink; W Chia
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

2.  The dynamics of the proteome: strategies for measuring protein turnover on a proteome-wide scale.

Authors:  Robert J Beynon
Journal:  Brief Funct Genomic Proteomic       Date:  2005-02

3.  Synthesis and degradation jointly determine the responsiveness of the cellular proteome.

Authors:  Björn Schwanhäusser; Jana Wolf; Matthias Selbach; Dorothea Busse
Journal:  Bioessays       Date:  2013-05-22       Impact factor: 4.345

Review 4.  The dynamic state of protein turnover: It's about time.

Authors:  Izumi V Hinkson; Joshua E Elias
Journal:  Trends Cell Biol       Date:  2011-04-07       Impact factor: 20.808

5.  Kinetic study of de novo chromophore maturation of fluorescent proteins.

Authors:  Ryo Iizuka; Mai Yamagishi-Shirasaki; Takashi Funatsu
Journal:  Anal Biochem       Date:  2011-04-01       Impact factor: 3.365

6.  One third of dynamic protein expression profiles can be predicted by a simple rate equation.

Authors:  Konstantine Tchourine; Christopher S Poultney; Li Wang; Gustavo M Silva; Sandhya Manohar; Christian L Mueller; Richard Bonneau; Christine Vogel
Journal:  Mol Biosyst       Date:  2014-11

7.  Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection.

Authors:  D D Ho; A U Neumann; A S Perelson; W Chen; J M Leonard; M Markowitz
Journal:  Nature       Date:  1995-01-12       Impact factor: 49.962

8.  In vivo turnover of the basement membrane and other heparan sulfate proteoglycans of rat glomerulus.

Authors:  L A Beavan; M Davies; J R Couchman; M A Williams; R M Mason
Journal:  Arch Biochem Biophys       Date:  1989-03       Impact factor: 4.013

9.  The developmental transcriptome of Drosophila melanogaster.

Authors:  Brenton R Graveley; Angela N Brooks; Joseph W Carlson; Michael O Duff; Jane M Landolin; Li Yang; Carlo G Artieri; Marijke J van Baren; Nathan Boley; Benjamin W Booth; James B Brown; Lucy Cherbas; Carrie A Davis; Alex Dobin; Renhua Li; Wei Lin; John H Malone; Nicolas R Mattiuzzo; David Miller; David Sturgill; Brian B Tuch; Chris Zaleski; Dayu Zhang; Marco Blanchette; Sandrine Dudoit; Brian Eads; Richard E Green; Ann Hammonds; Lichun Jiang; Phil Kapranov; Laura Langton; Norbert Perrimon; Jeremy E Sandler; Kenneth H Wan; Aarron Willingham; Yu Zhang; Yi Zou; Justen Andrews; Peter J Bickel; Steven E Brenner; Michael R Brent; Peter Cherbas; Thomas R Gingeras; Roger A Hoskins; Thomas C Kaufman; Brian Oliver; Susan E Celniker
Journal:  Nature       Date:  2010-12-22       Impact factor: 49.962

10.  Protein synthesis rate is the predominant regulator of protein expression during differentiation.

Authors:  Anders R Kristensen; Joerg Gsponer; Leonard J Foster
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

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  1 in total

Review 1.  Dynamic movement and turnover of extracellular matrices during tissue development and maintenance.

Authors:  Yutaka Matsubayashi
Journal:  Fly (Austin)       Date:  2022-12       Impact factor: 1.143

  1 in total

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