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

dc.contributor.authorAhrné, Erik
dc.contributor.authorMartinez-Segura, Amalia
dc.contributor.authorSyed, Afzal Pasha
dc.contributor.authorVina-Vilaseca, Arnau
dc.contributor.authorGruber, Andreas J.
dc.contributor.authorMarguerat, Samuel
dc.contributor.authorSchmidt, Alexander
dc.date.accessioned2020-09-21T07:52:15Z
dc.date.available2020-09-21T07:52:15Z
dc.date.issued2015-09-01eng
dc.description.abstractThe 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.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1016/j.ymeth.2015.04.032eng
dc.identifier.pmid25952948eng
dc.identifier.ppn1858652901
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/50907
dc.language.isoengeng
dc.rightsterms-of-use
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectMass spectrometry, Absolute protein quantification, Tandem mass tags, Schizosaccharomyces pombe, HEK 293, iBAQeng
dc.subject.ddc570eng
dc.titleExploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometryeng
dc.typeJOURNAL_ARTICLEeng
dspace.entity.typePublication
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  doi={10.1016/j.ymeth.2015.04.032},
  title={Exploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometry},
  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 J. and Marguerat, Samuel and Schmidt, Alexander}
}
kops.citation.iso690AHRNÉ, Erik, Amalia MARTINEZ-SEGURA, Afzal Pasha SYED, Arnau VINA-VILASECA, Andreas J. 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. 2015, 85, pp. 100-107. ISSN 1046-2023. eISSN 1095-9130. Available under: doi: 10.1016/j.ymeth.2015.04.032deu
kops.citation.iso690AHRNÉ, Erik, Amalia MARTINEZ-SEGURA, Afzal Pasha SYED, Arnau VINA-VILASECA, Andreas J. 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. 2015, 85, pp. 100-107. ISSN 1046-2023. eISSN 1095-9130. Available under: doi: 10.1016/j.ymeth.2015.04.032eng
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