The stress granule machinery controls metabolic signalling through mTOR at steady-state

HORIZON.1.1HORIZON-ERCID: 101054429
EC Contribution
€22,208
Consortium Size
2 orgs
Summary

mTOR kinase is an oncogenic master regulator of metabolism and cell growth and is known to reside in two multiprotein complexes. Upon stress, mTOR is inhibited by stress granules (SGs), which recruit mRNAs and signaling factors to promote survival. Current work largely addresses the functions of SG proteins under stress, focusing on their RNA binding properties and SG assembly. However, non-stress functions are emerging. I propose that SG proteins have prime functions in mTOR signaling at metabolic steady-state, in the absence of SGs. Our preliminary data show that core SG proteins bind mTOR at steady-state and suggest that they are key controllers of mTOR. In BEYOND STRESS, we will investigate SG proteins as a novel class of mTOR regulators at steady-state.By means of deep proteomics, proteo-metabo-flux, RNASeq, systems modelling, mechanistic and cell bio-logical studies, we will identify and functionally characterize the SG interactome of the mTOR complexes. We will delineate the steady-state inputs that signal through SG proteins to mTOR, and we will unravel the mechanistic interplay through which SG assembly impinges on metabolic signaling upon stress. As levels of core SG proteins correlate with cancer outcome, we will explore their linkage with metabolic signaling, prognosis and drug response in breast cancer. BEYOND STRESS is ground-breaking as (i) it links SG protein research in stress to steady-state mTOR signaling; (ii) a unifying paradigm of mTOR regulation at steady-state and stress will open new horizons for research on metabolic signaling; and (iii) SG proteins are emerging as markers and targets for oncogenic signaling through mTOR. While focusing on mTOR and breast cancer, BEYOND STRESS will likely translate to further networks and tumor entities, opening new avenues to signaling and cancer research.

Consortium (2)

Project Results (6)

Source: CORDIS, the EU research results database.

Publications (5)
GEMCAT—a new algorithm for gene expression-based prediction of metabolic alterations
NAR Genomics and Bioinformatics· 2025DOI
Suraj Sharma; Roland Sauter; Madlen Hotze; Aaron Marcellus Paul Prowatke; Marc Niere; Tobias Kipura; Anna-Sophia Egger; Kathrin Thedieck; Marcel Kwiatkowski; Mathias Ziegler; Ines Heiland
Nature Communications
Nature Communications· 2025DOI
André Gollowitzer; Helmut Pein; Zhigang Rao; Lorenz Waltl; Leonhard Bereuter; Konstantin Loeser; Tobias Meyer; Vajiheh Jafari; Finja Witt; René Winkler; Fengting Su; Silke Große; Maria Thürmer; Julia Grander; Madlen Hotze; Sönke Harder; Lilia Espada; Alexander Magnutzki; Ronald Gstir; Christina Weinigel; Silke Rummler; Günther Bonn; Johanna Pachmayr; Maria Ermolaeva; Takeshi Harayama; Hartmut Schlüter; Christian Kosan; Regine Heller; Kathrin Thedieck; Michael Schmitt; Takao Shimizu; Jürgen Popp; Hideo Shindou; Marcel Kwiatkowski; Andreas Koeberle
TXNIP mediates LAT1/SLC7A5 endocytosis to limit amino acid uptake in cells entering quiescence
The EMBO Journal· 2025DOI
Jennifer Kahlhofer, Nikolas Marchet, Kristian Zubak, Brigitta Seifert, Madlen Hotze, Anna-Sophia Egger-Hörschinger, Lucija Kucej, Claudia Manzl, Yannick Weyer, Sabine Weys, Martin Offterdinger, Sebas
Automated Liquid Handling Extraction and Rapid Quantification of Underivatized Amino Acids and Tryptophan Metabolites from Human Serum and Plasma Using Dual-Column U(H)PLC-MRM-MS and Its Application to Prostate Cancer Study
Metabolites· 2024DOI
Tobias Kipura; Madlen Hotze; Alexa Hofer; Anna-Sophia Egger; Lea E. Timpen; Christiane Opitz; Paul A. Townsend; Lee A. Gethings; Kathrin Thedieck; Marcel Kwiatkowski
ODE-based models of signaling networks in autophagy
Current Opinion in Systems Biology· 2024DOI
Markus Galhuber, Kathrin Thedieck
Other Results (1)
Periodic Reporting for period 1 - BEYOND STRESS (The stress granule machinery controls metabolic signalling through mTOR at steady-state)