Literature DB >> 33606240

In Vivo Protein Lifetime Measurements Across Multiple Organs in the Zebrafish.

Sunit Mandad1,2, Gudrun Kracht3, Eugenio F Fornasiero4.   

Abstract

Protein production and degradation are tightly regulated to prevent cellular structures from accumulating damage and to allow their correct functioning. A key aspect of this regulation is the protein half-life, corresponding to the time in which half of a specific protein population is exchanged with respect to its initial state. Proteome-wide techniques to investigate protein half-lives in vivo are emerging. Recently, we have established and thoroughly tested a metabolic labeling approach using 13C lysine (Lys(6)) for measuring protein lifetimes in mice. The approach is based on the fact that different proteins will incorporate a metabolic label at a rate that is dependent on their half-life. Using amino acid pool modeling and mass spectrometry, it is possible to measure the fraction of newly synthesized proteins and determine protein half-lives. In this chapter, we show how to extend this approach to zebrafish (Danio rerio), using a commercially available fish diet based on the stable isotope labeling by amino acids in cell culture (SILAC) technology. We describe the methods for labeling animals and subsequently use mass spectrometry to determine the lifetimes of a large number of proteins. In the mass spectrometry workflow proposed here, we have implemented the BoxCar data acquisition approach for increasing sample coverage and optimize machine use. To establish the proteome library used in the BoxCar approach, we recommend performing an in-solution digestion followed by peptide fractionation through basic reversed-phase chromatography. Overall, this chapter extends the use of current proteome technologies for the quantification of protein turnover to zebrafish and similar organisms and permits the study of germline changes following specific manipulations.

Entities:  

Keywords:  BoxCar; Metabolic labeling; Protein lifetime; Protein mass spectrometry; Protein turnover; SILAC

Year:  2021        PMID: 33606240     DOI: 10.1007/978-1-0716-0970-5_23

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  26 in total

1.  A new method for the measurement of protein turnover.

Authors:  T J Humphrey; D D Davies
Journal:  Biochem J       Date:  1975-04       Impact factor: 3.857

Review 2.  Mass spectrometry-based proteomics.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2003-03-13       Impact factor: 49.962

3.  Global analysis of cellular protein translation by pulsed SILAC.

Authors:  Björn Schwanhäusser; Manfred Gossen; Gunnar Dittmar; Matthias Selbach
Journal:  Proteomics       Date:  2009-01       Impact factor: 3.984

4.  Widespread changes in protein synthesis induced by microRNAs.

Authors:  Matthias Selbach; Björn Schwanhäusser; Nadine Thierfelder; Zhuo Fang; Raya Khanin; Nikolaus Rajewsky
Journal:  Nature       Date:  2008-07-30       Impact factor: 49.962

5.  DEUTERIUM AS AN INDICATOR IN THE STUDY OF INTERMEDIARY METABOLISM.

Authors:  R Schoenheimer; D Rittenberg
Journal:  Science       Date:  1935-08-16       Impact factor: 47.728

6.  The coming age of complete, accurate, and ubiquitous proteomes.

Authors:  Matthias Mann; Nils A Kulak; Nagarjuna Nagaraj; Jürgen Cox
Journal:  Mol Cell       Date:  2013-02-21       Impact factor: 17.970

7.  A method for the rapid determination of protein turnover.

Authors:  W H Dietz; M H Wolfe; R R Wolfe
Journal:  Metabolism       Date:  1982-08       Impact factor: 8.694

Review 8.  Shaping proteostasis at the cellular, tissue, and organismal level.

Authors:  Ambre J Sala; Laura C Bott; Richard I Morimoto
Journal:  J Cell Biol       Date:  2017-04-11       Impact factor: 10.539

9.  Precisely measured protein lifetimes in the mouse brain reveal differences across tissues and subcellular fractions.

Authors:  Eugenio F Fornasiero; Sunit Mandad; Hanna Wildhagen; Mihai Alevra; Burkhard Rammner; Sarva Keihani; Felipe Opazo; Inga Urban; Till Ischebeck; M Sadman Sakib; Maryam K Fard; Koray Kirli; Tonatiuh Pena Centeno; Ramon O Vidal; Raza-Ur Rahman; Eva Benito; André Fischer; Sven Dennerlein; Peter Rehling; Ivo Feussner; Stefan Bonn; Mikael Simons; Henning Urlaub; Silvio O Rizzoli
Journal:  Nat Commun       Date:  2018-10-12       Impact factor: 14.919

10.  A large dataset of protein dynamics in the mammalian heart proteome.

Authors:  Edward Lau; Quan Cao; Dominic C M Ng; Brian J Bleakley; T Umut Dincer; Brian M Bot; Ding Wang; David A Liem; Maggie P Y Lam; Junbo Ge; Peipei Ping
Journal:  Sci Data       Date:  2016-03-15       Impact factor: 6.444

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.