Literature DB >> 25727197

Quantitative proteomic approaches in mouse: stable isotope incorporation by metabolic (SILAC) or chemical labeling (reductive dimethylation) combined with high-resolution mass spectrometry.

Anja M Billing1, Hisham Ben Hamidane1, Johannes Graumann1.   

Abstract

Mass spectrometry-based quantitative proteomics is a powerful method for in-depth exploration of protein expression, allowing researchers to probe its regulation and study signal-transduction networks, protein turnover, secretion, and spatial distribution, as well as post-translational modification and protein-protein interaction, on a large scale. Precise protein quantitation may be achieved by incorporation of stable isotopes, which introduce a mass shift detectable by mass spectrometry, allowing multiplexing of several samples and therefore relative quantification. Stable isotope incorporation into proteins or peptides can be attained either by metabolic labeling (e.g., SILAC) or by chemical labeling (e.g., reductive dimethylation). Both labeling approaches are presented here. They are straightforward and robust and can be applied to murine samples. While both SILAC and reductive dimethylation offer similar multiplexing capabilities and quantitative accuracy, reductive dimethylation is more versatile and can be used with any sample type.
Copyright © 2015 John Wiley & Sons, Inc.

Entities:  

Keywords:  SILAC; mass spectrometry; mouse; quantitative proteomics; reductive dimethylation; tissue

Mesh:

Substances:

Year:  2015        PMID: 25727197     DOI: 10.1002/9780470942390.mo140156

Source DB:  PubMed          Journal:  Curr Protoc Mouse Biol        ISSN: 2161-2617


  5 in total

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4.  Epigenetic therapy of novel tumour suppressor ZAR1 and its cancer biomarker function.

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5.  Positioning of nucleosomes containing γ-H2AX precedes active DNA demethylation and transcription initiation.

Authors:  Stephanie Dobersch; Karla Rubio; Indrabahadur Singh; Stefan Günther; Johannes Graumann; Julio Cordero; Rafael Castillo-Negrete; Minh Bao Huynh; Aditi Mehta; Peter Braubach; Hector Cabrera-Fuentes; Jürgen Bernhagen; Cho-Ming Chao; Saverio Bellusci; Andreas Günther; Klaus T Preissner; Sita Kugel; Gergana Dobreva; Malgorzata Wygrecka; Thomas Braun; Dulce Papy-Garcia; Guillermo Barreto
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  5 in total

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