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Browsing by Author "Hesse, Doerte"

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    A new paradigm for MAPK: structural interactions of hERK1 with mitochondria in HeLa cells.
    (Public Library of Science, 2009)
    Galli, Soledad
    ;
    Jahn, Olaf  
    ;
    Hitt, Reiner
    ;
    Hesse, Doerte
    ;
    Opitz, Lennart  
    ;
    Plessmann, Uwe
    ;
    Urlaub, Henning  
    ;
    Poderoso, Juan Jose
    ;
    Jares-Erijman, Elizabeth A.
    ;
    Jovin, Thomas M.  
    Extracellular signal-regulated protein kinase 1 and 2 (ERK1/2) are members of the MAPK family and participate in the transduction of stimuli in cellular responses. Their long-term actions are accomplished by promoting the expression of specific genes whereas faster responses are achieved by direct phosphorylation of downstream effectors located throughout the cell. In this study we determined that hERK1 translocates to the mitochondria of HeLa cells upon a proliferative stimulus. In the mitochondrial environment, hERK1 physically associates with (i) at least 5 mitochondrial proteins with functions related to transport (i.e. VDAC1), signalling, and metabolism; (ii) histones H2A and H4; and (iii) other cytosolic proteins. This work indicates for the first time the presence of diverse ERK-complexes in mitochondria and thus provides a new perspective for assessing the functions of ERK1 in the regulation of cellular signalling and trafficking in HeLa cells.
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    An automated in-gel digestion/iTRAQ-labeling workflow for robust quantification of gel-separated proteins
    (Wiley-blackwell, 2013)
    Schmidt, Carla
    ;
    Hesse, Doerte
    ;
    Raabe, Monika
    ;
    Urlaub, Henning  
    ;
    Jahn, Olaf  
    Simple protein separation by 1DE is a widely used method to reduce sample complexity and to prepare proteins for mass spectrometric identification via in-gel digestion. While several automated solutions are available for in-gel digestion particularly of small cylindric gel plugs derived from 2D gels, the processing of larger 1D gel-derived gel bands with liquid handling work stations is less well established in the field. Here, we introduce a digestion device tailored to this purpose and validate its performance in comparison to manual in-gel digestion. For relative quantification purposes, we extend the in-gel digestion procedure by iTRAQ labeling of the tryptic peptides and show that automation of the entire workflow results in robust quantification of proteins from samples of different complexity and dynamic range. We conclude that automation improves accuracy and reproducibility of our iTRAQ workflow as it minimizes the variability in both, digestion and labeling efficiency, the two major causes of irreproducible results in chemical labeling approaches.

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