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Exploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometry

Ahrné, Erik and Martinez-Segura, Amalia and Syed, Afzal Pasha and Vina-Vilaseca, Arnau and Gruber, Andreas J. and Marguerat, Samuel and Schmidt, Alexander. (2015) Exploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometry. Methods, 85. pp. 100-107.

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Official URL: http://edoc.unibas.ch/40157/

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Abstract

The generation of dynamic models of biological processes critically depends on the determination of precise cellular concentrations of biomolecules. Measurements of system-wide absolute protein levels are particularly valuable information in systems biology. Recently, mass spectrometry based proteomics approaches have been developed to estimate protein concentrations on a proteome-wide scale. However, for very complex proteomes, fractionation steps are required, increasing samples number and instrument analysis time. As a result, the number of full proteomes that can be routinely analyzed is limited. Here we combined absolute quantification strategies with the multiplexing capabilities of isobaric tandem mass tags to determine cellular protein abundances in a high throughput and proteome-wide scale even for highly complex biological systems, such as a whole human cell line. We generated two independent data sets to demonstrate the power of the approach regarding sample throughput, dynamic range, quantitative precision and accuracy as well as proteome coverage in comparison to existing mass spectrometry based strategies.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Services Biozentrum > Proteomics (Schmidt)
UniBasel Contributors:Schmidt, Alexander
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Academic Press
ISSN:1046-2023
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:30 Jun 2016 11:00
Deposited On:08 Jun 2016 08:06

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