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Helmholtz Munich | Karlheinz Schäble
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Helmholtz Diabetes Center Institute of Experimental Genetics

The aim of the Institute of Experimental Genetics (IEG) is to further the understanding of mechanisms that underlie the etiology of human diseases. Metabolic diseases with focus on diabetes are key areas of research. Experimental set-ups are centered on the mouse as pre-clinical model organism with direct translation of results to humans. Besides studying the effects of genotypes, the institute identifies and characterizes environmental and epigenetic factors and the mechanisms by which these act on the etiology of diseases.

The aim of the Institute of Experimental Genetics (IEG) is to further the understanding of mechanisms that underlie the etiology of human diseases. Metabolic diseases with focus on diabetes are key areas of research. Experimental set-ups are centered on the mouse as pre-clinical model organism with direct translation of results to humans. Besides studying the effects of genotypes, the institute identifies and characterizes environmental and epigenetic factors and the mechanisms by which these act on the etiology of diseases.

Aim of our Research

The aim of the Institute of Experimental Genetics (IEG) is to further the understanding of mechanisms that underlie the etiology of human diseases. Metabolic diseases with focus on diabetes are key areas of research. Experimental set-ups are centered on the mouse as pre-clinical model organism with direct translation of results to humans. Besides studying the effects of genotypes, the institute identifies and characterizes environmental and epigenetic factors and the mechanisms by which these act on the etiology of diseases.

Our Research Groups and Platforms

Helmholtz Munich| IEG | ©Maximilian Schmidtke

Functional Genetics

The characterization of mutants represents a valuable instrument for functional genome analysis. Novel mouse models for metabolic diseases are in the center of our projects. By unraveling the molecular pathways and pathophysiological events leading, in particular, to diabetes we also transfer the basic research results into the development of novel strategies for diagnosis, prevention and therapy.

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Gene Regulation and Epigenetics

Our research focuses on the epigenetic inheritance of metabolic diseases such as obesity and diabetes mostly using the mouse as functional model system. We aim to understand how metabolic phenotypes that are acquired during life - for example, by malnutrition - are inherited from one generation to the next. We want to contribute to a better understanding of this inter-generational epigenetic inheritance and its implications for the observed pandemic of obesity and diabetes in man.

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Environmental Epigenetics

Diabetes and Obesity affect almost 400 million people worldwide and forecasts anticipate an increase of at least 20% by 2030. Epidemiological studies have shown a high degree of genetic predisposition and familial aggregation in both diabetes and obesity. Nevertheless, lifestyle interventions have proven valuable in disease prevention and management. We study physiological and pathological aspects of gene-environment interaction and epigenetic control of inheritance and aim to find novel targets and/or mechanisms towards effective strategies for disease prevention.

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German Mouse Clinic

German Mouse Clinic (GMC)

The German Mouse Clinic (GMC) as an open access phenotyping platform offers comprehensive phenotyping of mouse models in a systemic primary screen. Scientists with expert knowlegde from various fields of mouse physiology and pathology work together on evaluating numerous physiological pathways.

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Infrafrontier GmbH

European Mouse Mutant Archive (EMMA) - Germany

The European Mouse Mutant Archive is an INFRAFRONTIER core service for collection, archiving and distribution of mutant mice valuable for scientific and medical research. The IEG is one INFRAFRONTIER partner operating the German EMMA node with a main focus on cryopreservation and in vitro fertilization.

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Biocuration for Digital Health

Advances in medical research revealed that a disease phenotype is the result of pathobiological processes that interact in complex networks. A large body of information generated in decades of experimental research is hidden in the scientific literature. Our aim is to generate high-quality databases that describe experimentally validated interactions between molecules and processes involved in the development of diseases.

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Applied Computational Biology

We initiate and take lead in projects that use artificial intelligence methods on large mouse phenotyping datasets from the German Mouse Clinic (GMC) or from external sources. We develop and maintain highly customised IT infrastructure and solutions for our institute. Such as the in-house developed application "MausDB" , a modular laboratory information management system (LIMS). And we support IEG research projects internally with our IT expertise and tools.

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Publications of the IEG

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2022 Scientific Article in Allergy

Musiol, S. ; Harris, C. ; Karlina, R. ; Gostner, J.M. ; Rathkolb, B. ; Schnautz, B. ; Schneider, E. ; Mair, L. ; Vergara, E.E. ; Flexeder, C. ; Koletzko, S. ; Bauer, C.P. ; Schikowski, T. ; Berdel, D. ; von Berg, A. ; Herberth, G. ; Rozman, J. ; Hrabě de Angelis, M. ; Standl, M. ; Schmidt-Weber, C.B. ; Ussar, S. ; Alessandrini, F.

Dietary digestible carbohydrates are associated with higher prevalence of asthma in humans and with aggravated lung allergic inflammation in mice.

2022 Scientific Article in Scientific Reports

Klein-Rodewald, T. ; Micklich, K. ; Sanz-Moreno, A. ; Tost, M. ; Calzada-Wack, J. ; Adler, T. ; Klaften, M. ; Sabrautzki, S. ; Aigner, B. ; Kraiger, M.J. ; Gailus-Durner, V. ; Fuchs, H. ; German Mouse Clinic Consortium (Aguilar-Pimentel, J.A. ; Becker, L. ; Garrett, L. ; Hölter, S.M. ; Prehn, C. ; Rácz, I. ; Rozman, J. ; Puk, O. ; Schrewe, A. ; Adamski, J. ; Esposito, I. ; Wurst, W. ; Stöger, C.) ; Gründer, A. ; Pahl, H. ; Wolf, E. ; Hrabě de Angelis, M. ; Rathkolb, B.

New C3H KitN824K/WT cancer mouse model develops late-onset malignant mammary tumors with high penetrance.

2022 Scientific Article in Nature Communications

Xie, K. ; Fuchs, H. ; Scifo, E. ; Liu, D. ; Aziz, A. ; Aguilar-Pimentel, J.A. ; Amarie, O.V. ; Becker, L. ; da Silva Buttkus, P. ; Calzada-Wack, J. ; Cho, Y.-L. ; Deng, Y. ; Edwards, A.C. ; Garrett, L. ; Georgopoulou, C. ; Gerlini, R. ; Hölter, S.M. ; Klein-Rodewald, T. ; Kramer, M. ; Leuchtenberger, S. ; Lountzi, D. ; Mayer-Kuckuk, P. ; Nover, L.L. ; Oestereicher, M.A. ; Overkott, C. ; Pearson, B.L. ; Rathkolb, B. ; Rozman, J. ; Russ, J. ; Schaaf, K. ; Spielmann, N. ; Sanz-Moreno, A. ; Stöger, C. ; Treise, I. ; Bano, D. ; Busch, D.H. ; Graw, J. ; Klingenspor, M. ; Klopstock, T. ; Mock, B.A. ; Salomoni, P. ; Schmidt-Weber, C.B. ; Weiergräber, M. ; Wolf, E. ; Wurst, W. ; Gailus-Durner, V. ; Breteler, M.M.B. ; Hrabě de Angelis, M. ; Ehninger, D.

Deep phenotyping and lifetime trajectories reveal limited effects of longevity regulators on the aging process in C57BL/6J mice.

2022 Scientific Article in Human Molecular Genetics

Png, G. ; Gerlini, R. ; Hatzikotoulas, K. ; Barysenka, A. ; Rayner, N.W. ; Klarić, L. ; Rathkolb, B. ; Aguilar-Pimentel, J.A. ; Rozman, J. ; Fuchs, H. ; Gailus-Durner, V. ; Tsafantakis, E. ; Karaleftheri, M. ; Dedoussis, G. ; Pietrzik, C.U. ; Wilson, J.F. ; Hrabě de Angelis, M. ; Becker-Pauly, C. ; Gilly, A. ; Zeggini, E.

Identifying causal serum protein-cardiometabolic trait relationships using whole genome sequencing.

Staff Members

Dr. Juan Antonio Aguilar Pimentel

Dr. Lore Becker

Prof. Dr. Johannes Beckers

Prof. Dr. rer. nat. Johannes Beckers, Executive MBA (TUM) View profile

Barbara Brauner

Silvia Crowley

Dr. Patricia da Silva-Buttkus

Dr. Natalia Dragano

Ann-Elisabeth Engelniederhammer

Daniel Feeser

Marion Fisch

Anna Fischer

Ralf Fischer

Dr. Gisela Fobo

Dr. Goar Frischmann

Dr. Helmut Fuchs

Dr. Valerie Gailus-Durner

Isabella Galter

Dr. Melisa Gómez-Velázquez

Cindy Gonda

Dr. Sieglinde Hastreiter

Sandra Hoffmann

Martin Hrabě De Angelis

Prof. Dr. Dr. h.c. Martin Hrabě De Angelis

Research Director Helmholtz Munich, Full Professor and Chair of Experimental Genetics Technical University Munich, Director of the Institute of Experimental Genetics Helmholtz Munich View profile

Dr. Martin Irmler

Elke Koefferlein

Dr. Markus Kraiger

Dr. Christoph Lengger

Dr. Steffanie Leuchtenberger

Dr. Holger Maier

Dr. Susan Marschall

Andreas Mayer

Lucie Mittelbach

Dr. Corinna Montrone

Sibylle Neumann

Manuela Östereicher

Dr. Gerhard Przemeck

Group Leader, Research Group ‘Functional Genetics’ View profile

Dr. Birgit Rathkolb

Kerstin Richter

Dr. Andreas Ruepp

Group Leader, Research Group 'Biocuration for Digital Health' View profile

Dr. Adrián Sanz-Moreno

Dr. Karlheinz Schäble

Florian Schleicher

Maximilian Schmidtke

Elida Schneltzer

Group Leader of "Applied Computational Biology" View profile

Christine Schütt

Michael Schulz

Dr. Nadine Spielmann

Dr. Ralph Steinkamp

Dr. Claudia Stöger

Archana Tomar

Marion Wenig

Anja Wohlbier

Lilly Zapf

Contact IEG

Sibylle Neumann