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

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

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AHRNÉ, Erik, Amalia MARTINEZ-SEGURA, Afzal Pasha SYED, Arnau VINA-VILASECA, Andreas GRUBER, Samuel MARGUERAT, Alexander SCHMIDT, 2015. Exploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometry. In: Methods. Elsevier. 85, pp. 100-107. ISSN 1046-2023. eISSN 1095-9130. Available under: doi: 10.1016/j.ymeth.2015.04.032

@article{Ahrne2015-09-01Explo-50907, title={Exploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometry}, year={2015}, doi={10.1016/j.ymeth.2015.04.032}, volume={85}, issn={1046-2023}, journal={Methods}, pages={100--107}, author={Ahrné, Erik and Martinez-Segura, Amalia and Syed, Afzal Pasha and Vina-Vilaseca, Arnau and Gruber, Andreas and Marguerat, Samuel and Schmidt, Alexander} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/50907"> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-09-21T07:52:15Z</dc:date> <dc:creator>Ahrné, Erik</dc:creator> <dc:contributor>Vina-Vilaseca, Arnau</dc:contributor> <dc:creator>Vina-Vilaseca, Arnau</dc:creator> <dc:contributor>Syed, Afzal Pasha</dc:contributor> <dc:creator>Martinez-Segura, Amalia</dc:creator> <dcterms:issued>2015-09-01</dcterms:issued> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Schmidt, Alexander</dc:creator> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/50907"/> <dc:contributor>Martinez-Segura, Amalia</dc:contributor> <dc:contributor>Schmidt, Alexander</dc:contributor> <dc:creator>Marguerat, Samuel</dc:creator> <dc:rights>terms-of-use</dc:rights> <dc:creator>Syed, Afzal Pasha</dc:creator> <dc:contributor>Gruber, Andreas</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-09-21T07:52:15Z</dcterms:available> <dc:contributor>Marguerat, Samuel</dc:contributor> <dc:creator>Gruber, Andreas</dc:creator> <dcterms:title>Exploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometry</dcterms:title> <dc:contributor>Ahrné, Erik</dc:contributor> <dc:language>eng</dc:language> </rdf:Description> </rdf:RDF>

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