Matthias Heinemann

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Matthias Heinemann
MatthiasHeinemann.jpg
BornJuly 1, 1972
Alma materRWTH Aachen University (PhD)
AwardsDuPont Young Professor Award (2011) [1]

VIDI Award (2011) [2]

Kent University – Award for Science and Business (2018) [3]

VICI Award (2020)

Contents

[4]
Scientific career
InstitutionsUniversity of Groningen

ETH Zurich

RWTH Aachen University
Thesis Experimental analysis, modeling and dynamic simulation of thermodynamic and kinetic phenomena in gel-stabilized enzyme carriers. [5]  (2003)
Website https://heinemannlab.eu/ https://www.rug.nl/research/molecular-systems-biology/ https://twitter.com/HeinemannLab

Matthias Heinemann (born July 1, 1972) is a professor of molecular systems biology at the University of Groningen. Heinemann leads an interdisciplinary lab of approximately 12 graduate students and post-doctoral scholars. [6] Until 2019, he served as the chairman of the Groningen Biomolecular Sciences and Biotechnology Institute, [7] [8] was a board member of the Dutch Origins Center [9] and the coordinator of EU ITN project MetaRNA. [10] Heinemann is a member of the Faculty of 1000. [11]

Education

Heinemann received his degree (Dipl.-Ing.) in environmental engineering from the University of Stuttgart. In 2003, he obtained a Ph.D. in biochemical engineering (summa cum laude) from the RWTH Aachen University, after which he joined the Bioprocess lab of ETH Zurich as a postdoc. In 2006, he joined the Institute of Molecular Systems Biology [12] of ETH Zurich as a group leader in the research unit of Uwe Sauer. In 2010, he moved to the University of Groningen as an associate professor, where he got promoted to full professor in 2013.

Research

Heinemann's research field is systems biology of microbial metabolism. Together with his lab members, he has made the following major contributions to the fundamental understanding of metabolism:

His lab developed new technologies and resources for metabolic studies on the single cell level and proteomics:

Overall, Heinemann has authored or co-authored about 90 peer-reviewed scientific articles. [34]

Related Research Articles

<span class="mw-page-title-main">Metabolism</span> Set of chemical reactions in organisms

Metabolism is the set of life-sustaining chemical reactions in organisms. The three main functions of metabolism are: the conversion of the energy in food to energy available to run cellular processes; the conversion of food to building blocks for proteins, lipids, nucleic acids, and some carbohydrates; and the elimination of metabolic wastes. These enzyme-catalyzed reactions allow organisms to grow and reproduce, maintain their structures, and respond to their environments. The word metabolism can also refer to the sum of all chemical reactions that occur in living organisms, including digestion and the transportation of substances into and between different cells, in which case the above described set of reactions within the cells is called intermediary metabolism.

<span class="mw-page-title-main">Metabolic pathway</span> Chemical reactions occurring within a cell

In biochemistry, a metabolic pathway is a linked series of chemical reactions occurring within a cell. The reactants, products, and intermediates of an enzymatic reaction are known as metabolites, which are modified by a sequence of chemical reactions catalyzed by enzymes. In most cases of a metabolic pathway, the product of one enzyme acts as the substrate for the next. However, side products are considered waste and removed from the cell. These enzymes often require dietary minerals, vitamins, and other cofactors to function.

<span class="mw-page-title-main">Peroxisome</span> Type of organelle

A peroxisome (IPA: [pɛɜˈɹɒksɪˌsoʊm]) is a membrane-bound organelle, a type of microbody, found in the cytoplasm of virtually all eukaryotic cells. Peroxisomes are oxidative organelles. Frequently, molecular oxygen serves as a co-substrate, from which hydrogen peroxide (H2O2) is then formed. Peroxisomes owe their name to hydrogen peroxide generating and scavenging activities. They perform key roles in lipid metabolism and the conversion of reactive oxygen species. Peroxisomes are involved in the catabolism of very long chain fatty acids, branched chain fatty acids, bile acid intermediates (in the liver), D-amino acids, and polyamines, the reduction of reactive oxygen species – specifically hydrogen peroxide – and the biosynthesis of plasmalogens, i.e., ether phospholipids critical for the normal function of mammalian brains and lungs. They also contain approximately 10% of the total activity of two enzymes (Glucose-6-phosphate dehydrogenase and 6-Phosphogluconate dehydrogenase) in the pentose phosphate pathway, which is important for energy metabolism. It is vigorously debated whether peroxisomes are involved in isoprenoid and cholesterol synthesis in animals. Other known peroxisomal functions include the glyoxylate cycle in germinating seeds ("glyoxysomes"), photorespiration in leaves, glycolysis in trypanosomes ("glycosomes"), and methanol and/or amine oxidation and assimilation in some yeasts.

<span class="mw-page-title-main">Systems biology</span> Computational and mathematical modeling of complex biological systems

Systems biology is the computational and mathematical analysis and modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach to biological research.

<span class="mw-page-title-main">Metabolic engineering</span>

Metabolic engineering is the practice of optimizing genetic and regulatory processes within cells to increase the cell's production of a certain substance. These processes are chemical networks that use a series of biochemical reactions and enzymes that allow cells to convert raw materials into molecules necessary for the cell's survival. Metabolic engineering specifically seeks to mathematically model these networks, calculate a yield of useful products, and pin point parts of the network that constrain the production of these products. Genetic engineering techniques can then be used to modify the network in order to relieve these constraints. Once again this modified network can be modeled to calculate the new product yield.

<span class="mw-page-title-main">Sirtuin</span> Enzyme

Sirtuins are a family of signaling proteins involved in metabolic regulation. They are ancient in animal evolution and appear to possess a highly conserved structure throughout all kingdoms of life. Chemically, sirtuins are a class of proteins that possess either mono-ADP-ribosyltransferase or deacylase activity, including deacetylase, desuccinylase, demalonylase, demyristoylase and depalmitoylase activity. The name Sir2 comes from the yeast gene 'silent mating-type information regulation 2', the gene responsible for cellular regulation in yeast.

The Crabtree effect, named after the English biochemist Herbert Grace Crabtree, describes the phenomenon whereby the yeast, Saccharomyces cerevisiae, produces ethanol (alcohol) in aerobic conditions at high external glucose concentrations rather than producing biomass via the tricarboxylic acid (TCA) cycle, the usual process occurring aerobically in most yeasts e.g. Kluyveromyces spp. This phenomenon is observed in most species of the Saccharomyces, Schizosaccharomyces, Debaryomyces, Brettanomyces, Torulopsis, Nematospora, and Nadsonia genera. Increasing concentrations of glucose accelerates glycolysis which results in the production of appreciable amounts of ATP through substrate-level phosphorylation. This reduces the need of oxidative phosphorylation done by the TCA cycle via the electron transport chain and therefore decreases oxygen consumption. The phenomenon is believed to have evolved as a competition mechanism around the time when the first fruits on Earth fell from the trees. The Crabtree effect works by repressing respiration by the fermentation pathway, dependent on the substrate.

A cell-free system is an in vitro tool widely used to study biological reactions that happen within cells apart from a full cell system, thus reducing the complex interactions typically found when working in a whole cell. Subcellular fractions can be isolated by ultracentrifugation to provide molecular machinery that can be used in reactions in the absence of many of the other cellular components. Eukaryotic and prokaryotic cell internals have been used for creation of these simplified environments. These systems have enabled cell-free synthetic biology to emerge, providing control over what reaction is being examined, as well as its yield, and lessening the considerations otherwise invoked when working with more sensitive live cells.

<span class="mw-page-title-main">Metabolic flux analysis</span>

Metabolic flux analysis (MFA) is an experimental fluxomics technique used to examine production and consumption rates of metabolites in a biological system. At an intracellular level, it allows for the quantification of metabolic fluxes, thereby elucidating the central metabolism of the cell. Various methods of MFA, including isotopically stationary metabolic flux analysis, isotopically non-stationary metabolic flux analysis, and thermodynamics-based metabolic flux analysis, can be coupled with stoichiometric models of metabolism and mass spectrometry methods with isotopic mass resolution to elucidate the transfer of moieties containing isotopic tracers from one metabolite into another and derive information about the metabolic network. Metabolic flux analysis (MFA) has many applications such as determining the limits on the ability of a biological system to produce a biochemical such as ethanol, predicting the response to gene knockout, and guiding the identification of bottleneck enzymes in metabolic networks for metabolic engineering efforts.

Fluxomics describes the various approaches that seek to determine the rates of metabolic reactions within a biological entity. While metabolomics can provide instantaneous information on the metabolites in a biological sample, metabolism is a dynamic process. The significance of fluxomics is that metabolic fluxes determine the cellular phenotype. It has the added advantage of being based on the metabolome which has fewer components than the genome or proteome.

In biochemistry, a metabolon is a temporary structural-functional complex formed between sequential enzymes of a metabolic pathway, held together both by non-covalent interactions and by structural elements of the cell, such as integral membrane proteins and proteins of the cytoskeleton.

Charles Brenner is the inaugural Alfred E Mann Family Foundation Chair of the Department of Diabetes & Cancer Metabolism at the Beckman Research Institute of the City of Hope National Medical Center. Brenner previously held the Roy J. Carver Chair in Biochemistry and was head of biochemistry at the University of Iowa.

<span class="mw-page-title-main">Jens Nielsen</span> Danish biologist

Jens Nielsen is the CEO of BioInnovation Institute, Copenhagen, Denmark, and professor of systems biology at Chalmers University of Technology, Gothenburg, Sweden. He is also an adjunct professor at the Technical University of Denmark. Nielsen is the most cited researcher in the field of metabolic engineering, and he is the founding president of the International Metabolic Engineering Society. He has additionally founded several biotech companies.

Chaetomium thermophilum is a thermophilic filamentous fungus. It grows on dung or compost. It is notable for being a eukaryote with a high temperature tolerance (60 °C). Its optimal growth temperature is 50–55 °C.

Akhilesh Reddy is a British physician-scientist. He studied on the MB/PhD programme at the University of Cambridge and received a PhD from the MRC Laboratory of Molecular Biology. He was a Wellcome Trust Senior Fellow in Clinical Sciences at the University of Cambridge. He is currently an associate professor of pharmacology at the University of Pennsylvania.

Overflow metabolism refers to the seemingly wasteful strategy in which cells incompletely oxidize their growth substrate instead of using the respiratory pathway, even in the presence of oxygen. As a result of employing this metabolic strategy, cells excrete metabolites like lactate, acetate and ethanol. Incomplete oxidation of growth substrates yields less energy than complete oxidation through respiration, and yet overflow metabolism—known as the Warburg effect in the context of cancer and the Crabtree effect in the context of yeast—occurs ubiquitously among fast-growing cells, including bacteria, fungi and mammalian cells.

Aerobic fermentation or aerobic glycolysis is a metabolic process by which cells metabolize sugars via fermentation in the presence of oxygen and occurs through the repression of normal respiratory metabolism. It is referred to as the Crabtree effect in yeast. and is part of the Warburg effect in tumor cells. While aerobic fermentation does not produce adenosine triphosphate (ATP) in high yield, it allows proliferating cells to convert nutrients such as glucose and glutamine more efficiently into biomass by avoiding unnecessary catabolic oxidation of such nutrients into carbon dioxide, preserving carbon-carbon bonds and promoting anabolism.

David A. Fell is a British biochemist and professor of systems biology at Oxford Brookes University. He has published over 200 publications, including a textbook on Understanding the control of metabolism in 1996.

<span class="mw-page-title-main">Alpha Arrestin</span>

The arrestin family of proteins is subdivided into α-arrestins (also referred to as arrestin-related trafficking adaptors or arrestin-like yeast proteins in yeast or ARRDCs in mammals, β-arrestins and Vps26-like arrestins proteins. The α-Arrestins are an ancestral branch of the larger arrestin family of proteins and they are conserved across eukaryotes but are best characterized in the budding yeast Saccharomyces cerevisiae; to-date there are 6 α-arrestins identified in mammalian cells and 14 α-arrestins identified in the budding yeast Saccharomyces cerevisiae. The yeast α-arrestin family comprises Ldb19/Art1, Ecm21/Art2, Aly1/Art6, Aly2/Art3, Rod1/Art4, Rog3/Art7, Art5, Csr2/Art8, Rim8/Art9, Art10, Bul1, Bul2, Bul3 and Spo23. The best characterized α-arrestin function to date is their endocytic regulation of plasma membrane proteins, including G-protein coupled receptors and nutrient transporters. α-Arrestins control endocytosis of these membrane proteins in response to cellular stressors, including nutrient or metal ion excess.

<span class="mw-page-title-main">Markus Ralser</span> Italian biologist

Markus Ralser is an Italian biologist. His main research interest is metabolism of microorganisms. He is also known for his work on the origin of metabolism during the origin of life, and proteomics.

References

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  14. 1 2 Kochanowski, Karl; Volkmer, Benjamin; Gerosa, Luca; Rijsewijk, Bart R. Haverkorn van; Schmidt, Alexander; Heinemann, Matthias (2013-01-15). "Functioning of a metabolic flux sensor in Escherichia coli". Proceedings of the National Academy of Sciences. 110 (3): 1130–1135. doi: 10.1073/pnas.1202582110 . ISSN   0027-8424. PMC   3549114 . PMID   23277571.
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  21. 1 2 Papagiannakis, Alexandros; Niebel, Bastian; Wit, Ernst C.; Heinemann, Matthias (2017-01-19). "Autonomous Metabolic Oscillations Robustly Gate the Early and Late Cell Cycle". Molecular Cell. 65 (2): 285–295. doi: 10.1016/j.molcel.2016.11.018 . ISSN   1097-4164. PMID   27989441.
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  28. Lee, Sung Sik; Vizcarra, Ima Avalos; Huberts, Daphne H. E. W.; Lee, Luke P.; Heinemann, Matthias (2012-03-27). "Whole lifespan microscopic observation of budding yeast aging through a microfluidic dissection platform". Proceedings of the National Academy of Sciences. 109 (13): 4916–4920. doi: 10.1073/pnas.1113505109 . ISSN   0027-8424. PMC   3324001 . PMID   22421136.
  29. Huberts, Daphne H E W; Sik Lee, Sung; González, Javier; Janssens, Georges E; Vizcarra, Ima Avalos; Heinemann, Matthias (2013-05-02). "Construction and use of a microfluidic dissection platform for long-term imaging of cellular processes in budding yeast" (PDF). Nature Protocols. 8 (6): 1019–1027. doi:10.1038/nprot.2013.060. ISSN   1754-2189. PMID   23640166. S2CID   11836636.
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