Literature DB >> 21890006

SILAC zebrafish for quantitative analysis of protein turnover and tissue regeneration.

Ann Westman-Brinkmalm1, Alexandra Abramsson, Josef Pannee, Chen Gang, Mikael K Gustavsson, Malin von Otter, Kaj Blennow, Gunnar Brinkmalm, Hermann Heumann, Henrik Zetterberg.   

Abstract

Defective tissue regeneration is thought to contribute to several human diseases, including neurodegenerative disorders, heart failure and various lung diseases. Boosting the regenerative capacity has been suggested a possible therapeutic approach. Methods to metabolically label newly synthesized proteins in vivo with stable isotopic forms of amino acids holds promise for the study of protein turnover and tissue regeneration that are fundamental to the sustained life of all organisms. Here, we used the "stable isotope labeling with amino acids in cell culture" (SILAC) approach to explore normal protein turnover and tissue regeneration in adult zebrafish. The ratio of labeled and unlabeled proteins/peptides in specific organs of zebrafish fed a SILAC diet containing (13)C(6)-labeled lysine was determined by liquid chromatography and tandem mass spectrometry. Labeling was highest in tissues with high regenerative capacity, including intestine, liver, and fin, whereas brain and heart displayed the lowest labeling. Proteins with high degree of labeling were mainly involved in catalytic or transport activity pathways. The technique also verified increased protein synthesis during regeneration of the caudal fin following amputation. This newly developed SILAC zebrafish model constitutes a novel tool to analyze tissue regeneration in an animal model amenable to genetic and pharmacologic manipulation.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21890006     DOI: 10.1016/j.jprot.2011.08.008

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  19 in total

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Authors:  Corey E Bakalarski; Donald S Kirkpatrick
Journal:  Mol Cell Proteomics       Date:  2016-02-12       Impact factor: 5.911

2.  SILAC-based quantitative proteomic analysis of Drosophila gastrula stage embryos mutant for fibroblast growth factor signalling.

Authors:  Hamze Beati; Alistair Langlands; Sara Ten Have; H-Arno J Müller
Journal:  Fly (Austin)       Date:  2019-12-24       Impact factor: 2.160

Review 3.  Proteome dynamics: revisiting turnover with a global perspective.

Authors:  Amy J Claydon; Robert Beynon
Journal:  Mol Cell Proteomics       Date:  2012-11-02       Impact factor: 5.911

4.  Stable isotope labeling in zebrafish allows in vivo monitoring of cardiac morphogenesis.

Authors:  Anne Konzer; Aaron Ruhs; Helene Braun; Benno Jungblut; Thomas Braun; Marcus Krüger
Journal:  Mol Cell Proteomics       Date:  2013-02-14       Impact factor: 5.911

Review 5.  Recent advances in quantitative neuroproteomics.

Authors:  George E Craft; Anshu Chen; Angus C Nairn
Journal:  Methods       Date:  2013-04-25       Impact factor: 3.608

6.  Monitoring newly synthesized proteins over the adult life span of Caenorhabditis elegans.

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Journal:  J Proteome Res       Date:  2015-02-25       Impact factor: 4.466

7.  Analysis of SRC oncogenic signaling in colorectal cancer by stable isotope labeling with heavy amino acids in mouse xenografts.

Authors:  Audrey Sirvent; Oana Vigy; Beatrice Orsetti; Serge Urbach; Serge Roche
Journal:  Mol Cell Proteomics       Date:  2012-09-29       Impact factor: 5.911

Review 8.  Mitochondrial protein turnover: methods to measure turnover rates on a large scale.

Authors:  X'avia C Y Chan; Caitlin M Black; Amanda J Lin; Peipei Ping; Edward Lau
Journal:  J Mol Cell Cardiol       Date:  2014-11-11       Impact factor: 5.000

Review 9.  Toward quantitative phosphotyrosine profiling in vivo.

Authors:  Hannah Johnson; Forest M White
Journal:  Semin Cell Dev Biol       Date:  2012-06-05       Impact factor: 7.727

10.  Following spatial Aβ aggregation dynamics in evolving Alzheimer's disease pathology by imaging stable isotope labeling kinetics.

Authors:  Wojciech Michno; Katie M Stringer; Thomas Enzlein; Melissa K Passarelli; Stephane Escrig; Karina Vitanova; Jack Wood; Kaj Blennow; Henrik Zetterberg; Anders Meibom; Carsten Hopf; Frances A Edwards; Jörg Hanrieder
Journal:  Sci Adv       Date:  2021-06-16       Impact factor: 14.136

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