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Neutron-encoded mass signatures for quantitative top-down proteomics.
Rhoads, Timothy W; Rose, Christopher M; Bailey, Derek J; Riley, Nicholas M; Molden, Rosalynn C; Nestler, Amelia J; Merrill, Anna E; Smith, Lloyd M; Hebert, Alexander S; Westphall, Michael S; Pagliarini, David J; Garcia, Benjamin A; Coon, Joshua J.
Afiliação
  • Rhoads TW; Department of Chemistry, ‡Department of Biomolecular Chemistry, §Genome Center, and ∇Department of Biochemistry, University of Wisconsin , Madison, Wisconsin 53706, United States.
Anal Chem ; 86(5): 2314-9, 2014 Mar 04.
Article em En | MEDLINE | ID: mdl-24475910
ABSTRACT
The ability to acquire highly accurate quantitative data is an increasingly important part of any proteomics experiment, whether shotgun or top-down approaches are used. We recently developed a quantitation strategy for peptides based on neutron encoding, or NeuCode SILAC, which uses closely spaced heavy isotope-labeled amino acids and high-resolution mass spectrometry to provide quantitative data. We reasoned that the strategy would also be applicable to intact proteins and could enable robust, multiplexed quantitation for top-down experiments. We used yeast lysate labeled with either (13)C6(15)N2-lysine or (2)H8-lysine, isotopologues of lysine that are spaced 36 mDa apart. Proteins having such close spacing cannot be distinguished during a medium resolution scan, but upon acquiring a high-resolution scan, the two forms of the protein with each amino acid are resolved and the quantitative information revealed. An additional benefit NeuCode SILAC provides for top down is that the spacing of the isotope peaks indicates the number of lysines present in the protein, information that aids in identification. We used NeuCode SILAC to quantify several hundred isotope distributions, manually identify and quantify proteins from 11, 31, and 51 mixed ratios, and demonstrate MS(2)-based quantitation using ETD.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica / Nêutrons Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteômica / Nêutrons Idioma: En Ano de publicação: 2014 Tipo de documento: Article