Research output per year
Research output per year
Prof. Dr. Kathrin Thedieck joined the University Medical Center Groningen (UMCG) and Oldenburg University in 2013 in the frame of the European Medical School (EMS). In 2019, Kathrin Thedieck became full professor and institute head for Biochemistry at Innsbruck University in Austria. She continues to be affiliated and conducts research and teaching at all three institutions.
The Lab for Metabolic Signaling studies the control of metabolic homeostasis through kinase signaling networks converging on the metabolic master regulator mTOR (mammalian / mechanistic target of rapamycin) in health and disease.
We adopt biochemistry, cell biology, proteomics, metabolomics and systems modelling approaches.
mTOR is a central controller of metabolism and ageing. mTOR is dysregulated in most cancers as well as in metabolic, neurodegenerative and congenital disorders, and is therefore of major biomedical interest as a drug target and biomarker. The protein kinase mTOR is at the center of a complex signaling and metabolic network, and exists in two structurally and functionally distinct multiprotein complexes, mTOR complex 1 (mTORC1) and mTORC2. In response to growth factors, nutrients, energy and stress, mTORC1 enhances anabolic processes such as translation, and represses catabolic processes such as autophagy. mTORC2 is a central metabolic regulator as well which is for instance involved in lipid and glucose homeostasis.
mTOR controls virtually all metabolic processes at the cellular and organismal level. But how are specific metabolic responses to distinct metabolic inputs achieved? The complex wiring of signaling networks allows to link distinct metabolic stimuli with specific metabolic responses. Our lab aims to identify novel network components and to delineate their interconnection in relation to mTOR’s metabolic inputs and outputs. To this end, we analyze its interactome and ancillary signaling and metabolic networks by ultrahigh resolution mass spectrometry, including targeted, shotgun and fluxomic proteomic and metabolomic methods. To deal with mTOR network complexity, we adopt systems approaches to unravel novel regulatory connections. We functionally characterize novel regulators and effectors by means of biochemistry and cell biology in in vitro and in vivo models as well as in human samples.
Read further on the website of the Lab for Metabolic Signaling.
Faculty Member, Fak. VI, Dept. of Neurosciences, Carl-von-Ossietzky University Oldenburg
1-Feb-2019 → …
Full Professor and Insitute Head of Biochemistry, University of Innsbruck
1-Feb-2019 → …
Associate Professor, Carl von Ossietzky Universität Oldenburg, European Medical School (EMS), Fakultät VI, Dept. of Neurosciences
1-Sept-2013 → 31-Jan-2031
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review
Research output: Contribution to journal › Article › Academic › peer-review
Drepper, F. (Data Manager), Schwarz, J. J. (Creator), Wiese, H. (Creator), Tölle, R. C. (Creator), Zarei, M. (Creator), Dengjel, J. (Creator), Warscheid, B. (Creator) & Thedieck, K. (Creator), European Bioinformatics Institute (EMBL-EBI), 28-Apr-2015
https://www.ebi.ac.uk/pride/archive/projects/PXD001196 and 2 more links, https://www.ebi.ac.uk/pride/archive/projects/PXD001244, https://www.ebi.ac.uk/pride/archive/projects/PXD001245 (show fewer)
Dataset
Ruf, S. (Contributor), Heberle, A. (Contributor), Langelaar-Makkinje, M. (Contributor), Gelino, S. (Contributor), Wilkinson, D. (Contributor), Gerbeth, C. (Contributor), Schwarz, J. J. (Contributor), Holzwarth, B. (Contributor), Warscheid, B. (Contributor), Meisinger, C. (Contributor), van Vugt, M. (Contributor), Baumeister, R. (Contributor), Hansen, M. (Contributor) & Thedieck, K. (Contributor), University of Groningen, 19-Jan-2017
DOI: 10.6084/m9.figshare.4565185.v1, https://doi.org/10.6084%2Fm9.figshare.4565185.v1
Dataset
26/04/2022
1 item of Media coverage
Press/Media: Research › Popular
26/04/2022
2 items of Media coverage
Press/Media: Expert Comment › Popular
25/04/2022 → 26/04/2022
5 items of Media coverage
Press/Media: Research › Popular
26/04/2022
1 item of Media coverage
Press/Media: Expert Comment › Popular