Matthias Christoph Munder

Matthias Christoph Munder

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Matthias Christoph Munder

Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 March 2016 in eLife
Verified
Journal Article
Open access
MMMatthias Christoph Munder
Matthias Christoph Munder
DMDaniel Midtvedt
Daniel Midtvedt
TFTitus Franzmann
Titus Franzmann
ENElisabeth NüsKe
Elisabeth NüsKe
OOOliver Otto
Oliver Otto
SASimon Alberti
Simon Alberti
Cells can enter into a dormant state when faced with unfavorable conditions. However, how cells enter into and recover from this state is still poorly understood. Here, we study dormancy in different eukaryotic organisms and find it to be associated with a significant decrease in the mobility of organelles and foreign tracer particles. We show that this reduced mobility is caused by an influx of protons and a marked acidification of the cytoplasm, which leads to widespread macromolecular assembly of proteins and triggers a transition of the cytoplasm to a solid-like state with increased mechanical stability. We further demonstrate that this transition is required for cellular survival under conditions of starvation. Our findings have broad implications for understanding alternative physiological states, such as quiescence and dormancy, and create a new view of the cytoplasm as an adaptable fluid that can reversibly transition into a protective solid-like state.

25 April 2014 in eLife
Verified
Journal Article
Open access
IPIvana Petrovska
Ivana Petrovska
ENElisabeth Nüske
Elisabeth Nüske
MMMatthias C Munder
Matthias C Munder
GKGayathrie Kulasegaran
Gayathrie Kulasegaran
LMLiliana Malinovska
Liliana Malinovska
SASimon Alberti
Simon Alberti
One of the key questions in biology is how the metabolism of a cell responds to changes in the environment. In budding yeast, starvation causes a drop in intracellular pH, but the functional role of this pH change is not well understood. Here, we show that the enzyme glutamine synthetase (Gln1) forms filaments at low pH and that filament formation leads to enzymatic inactivation. Filament formation by Gln1 is a highly cooperative process, strongly dependent on macromolecular crowding, and involves back-to-back stacking of cylindrical homo-decamers into filaments that associate laterally to form higher order fibrils. Other metabolic enzymes also assemble into filaments at low pH. Hence, we propose that filament formation is a general mechanism to inactivate and store key metabolic enzymes during a state of advanced cellular starvation. These findings have broad implications for understanding the interplay between nutritional stress, the metabolism and the physical organization of a cell.

15 August 2012 in Molecular Biology of the Cell
Verified
Journal Article
Open access
LMLiliana Malinovska
Liliana Malinovska
SKSonja Kroschwald
Sonja Kroschwald
MMMatthias C. Munder
Matthias C. Munder
DRDoris Richter
Doris Richter
SASimon Alberti
Simon Alberti
Acute stress causes a rapid redistribution of protein quality control components and aggregation-prone proteins to diverse subcellular compartments. How these remarkable changes come about is not well understood. Using a phenotypic reporter for a synthetic yeast prion, we identified two protein-sorting factors of the Hook family, termed Btn2 and Cur1, as key regulators of spatial protein quality control in Saccharomyces cerevisiae. Btn2 and Cur1 are undetectable under normal growth conditions but accumulate in stressed cells due to increased gene expression and reduced proteasomal turnover. Newly synthesized Btn2 can associate with the small heat shock protein Hsp42 to promote the sorting of misfolded proteins to a peripheral protein deposition site. Alternatively, Btn2 can bind to the chaperone Sis1 to facilitate the targeting of misfolded proteins to a juxtanuclear compartment. Protein redistribution by Btn2 is accompanied by a gradual depletion of Sis1 from the cytosol, which is mediated by the sorting factor Cur1. On the basis of these findings, we propose a dynamic model that explains the subcellular distribution of misfolded proteins as a function of the cytosolic concentrations of molecular chaperones and protein-sorting factors. Our model suggests that protein aggregation is not a haphazard process but rather an orchestrated cellular response that adjusts the flux of misfolded proteins to the capacities of the protein quality control system.

8 May 2013 in Journal of Neurochemistry
Verified
Journal Article
Closed access
PDF file
Sandra TenreiroSandra Tenreiro
Sandra Tenreiro
MMMatthias C. Munder
Matthias C. Munder
SASimon Alberti
Simon Alberti
Tiago OuteiroTiago Outeiro
Tiago Outeiro

1 February 2015 in Journal of Biotechnology
Verified
Journal Article
Closed access
IBIvo Bertalan
Ivo Bertalan
MMMatthias C. Munder
Matthias C. Munder
CWCaroline Weiß
Caroline Weiß
JKJudith Kopf
Judith Kopf
DFDirk Fischer
Dirk Fischer
UJUdo Johanningmeier
Udo Johanningmeier

17 January 2018 in Protocol Exchange
Verified
Journal Article
Open access
MMMatthäus Mittasch
Matthäus Mittasch
PGPeter Groß
Peter Groß
MNMichael Nestler
Michael Nestler
AFAnatol W. Fritsch
Anatol W. Fritsch
CIChristiane Iserman
Christiane Iserman
MKMoritz Kreysing
Moritz Kreysing
This protocol is associated to the publication “Non-invasive perturbations of intracellular flow reveal physical principles of cell organization” by Mittasch et al., published in Nature Cell Biology.In the following, we describe the procedure for maintenance and preparation of C. elegans zygotes for imaging and application of FLUCS. Preparation of S. cerevisiae cells for microscopy and intracellular flow perturbations. S. cerevisiae cells were grown into logarithmic stage. Subsequently the S. cerevisiae cells were either grown for 2 hours or alternatively energy depleted through addition of 2-Desoxy-D-Glucose (inhibition of glycolysis) and antimycin A (inhibition of mitochondrial ATP production) for 2 h prior to flow induction. This treatment causes a more than 95% reduction in cellular ATP 2. Potentially this protocol is suitable to energy deplete all S. cerevisiae strains and closely related yeast species. A specific marker such as µNS-GFP1is needed to observe subsequent flow perturbations by microscopy.