Journal article

Protein Turnover Quantification in a Multilabeling Approach: From Data Calculation to Evaluation


Authors listTrötschel, C; Albaum, SP; Wolff, D; Schröder, S; Goesmann, A; Nattkemper, TW; Poetsch, A

Publication year2012

Pages512-526

JournalMolecular & Cellular Proteomics

Volume number11

Issue number8

ISSN1535-9476

eISSN1535-9484

DOI Linkhttps://doi.org/10.1074/mcp.M111.014134

PublisherElsevier


Abstract
Liquid chromatography coupled to tandem mass spectrometry in combination with stable-isotope labeling is an established and widely spread method to measure gene expression on the protein level. However, it is often not considered that two opposing processes are responsible for the amount of a protein in a cell-the synthesis as well as the degradation. With this work, we provide an integrative, high-throughput method-from the experimental setup to the bioinformatics analysis-to measure synthesis and degradation rates of an organism's proteome. Applicability of the approach is demonstrated with an investigation of heat shock response, a well-understood regulatory mechanism in bacteria, on the biotechnologically relevant Corynebacterium glutamicum. Utilizing a multilabeling approach using both heavy stable nitrogen as well as carbon isotopes cells are metabolically labeled in a pulse-chase experiment to trace the labels' incorporation in newly synthesized proteins and its loss during protein degradation. Our work aims not only at the calculation of protein turnover rates but also at their statistical evaluation, including variance and hierarchical cluster analysis using the rich internet application QuPE.



Citation Styles

Harvard Citation styleTrötschel, C., Albaum, S., Wolff, D., Schröder, S., Goesmann, A., Nattkemper, T., et al. (2012) Protein Turnover Quantification in a Multilabeling Approach: From Data Calculation to Evaluation, Molecular & Cellular Proteomics, 11(8), pp. 512-526. https://doi.org/10.1074/mcp.M111.014134

APA Citation styleTrötschel, C., Albaum, S., Wolff, D., Schröder, S., Goesmann, A., Nattkemper, T., & Poetsch, A. (2012). Protein Turnover Quantification in a Multilabeling Approach: From Data Calculation to Evaluation. Molecular & Cellular Proteomics. 11(8), 512-526. https://doi.org/10.1074/mcp.M111.014134


Last updated on 2025-21-05 at 15:39