Literature DB >> 12858183

Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics.

Jeroen Krijgsveld1, René F Ketting, Tokameh Mahmoudi, Janik Johansen, Marta Artal-Sanz, C Peter Verrijzer, Ronald H A Plasterk, Albert J R Heck.   

Abstract

A crucial issue in comparative proteomics is the accurate quantification of differences in protein expression levels. To achieve this, several methods have been developed in which proteins are labeled with stable isotopes either in vivo via metabolic labeling or in vitro by protein derivatization. Although metabolic labeling is the only way to obtain labeling of all proteins, it has thus far only been applied to single- celled organisms and cells in culture. Here we describe quantitative 15N metabolic labeling of the multicellular organisms Caenorhabditis elegans, a nematode, and Drosophila melanogaster, the common fruit fly, achieved by feeding them on 15N-labeled Escherichia coli and yeast, respectively. The relative abundance of individual proteins obtained from different samples can then be determined by mass spectrometry (MS). The applicability of the method is exemplified by the comparison of protein expression levels in two C. elegans strains, one with and one without a germ line. The methodology described provides tools for accurate quantitative proteomic studies in these model organisms.

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Year:  2003        PMID: 12858183     DOI: 10.1038/nbt848

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  89 in total

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Review 8.  A proteomic primer for the clinician.

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9.  Quantitative analysis of complex peptide mixtures using FTMS and differential mass spectrometry.

Authors:  Fanyu Meng; Matthew C Wiener; Jeffrey R Sachs; Chrissina Burns; Priyanka Verma; Cloud P Paweletz; Matthew T Mazur; Ekaterina G Deyanova; Nathan A Yates; Ronald C Hendrickson
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Review 10.  Quantification of histone modifications using ¹⁵N metabolic labeling.

Authors:  Chunchao Zhang; Yifan Liu; Philip C Andrews
Journal:  Methods       Date:  2013-02-27       Impact factor: 3.608

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