Dr. Sascha Sauer
Dr. Sascha Sauer
Former Principal Investigator
Phone:+49 30 9406-2992

BIMSB Genomics Platform

Sascha Sauer left the MPIMG in 2016 and heads the Scientific Genomics Platform at the Berlin Institute for Medical Systems Biology of the MDC in Berlin-Buch now.


November 2015 - Television broadcast focusing on our work on liquorice and amorfrutins in "Nano" of 3Sat, 13th of November 2015, see more.

March 2015 - Television broadcast on amorfrutins in "alles wissen" of the
Hessischer Rundfunk (ARD) on 4th of March 2015.

November 2014 - Television broadcast on amorfrutins in "X:enius" of Arte on
14th of November 2014.

August 2014 - Check out our newest Bioinformatics publication: PHOXTRACK - a tool for efficiently analysing comprehensive posttranslational modification data! Publication, PHOXTRACK online tool

January 2014 - Recently, the major news magazine Spiegel Online published an article on "Personalised Nutrition" including comments of Sascha Sauer. Unfortunately, someexplanatory notes on the potential role of epigenetics in metabolic diseases and future research in the fields of nutrigenomics were largely skipped by the online journal. Nevertheless, interested readers may have a look at more.

December 2013 - The READNA consortium including the research groups of Dr. Sascha Sauer and Prof. Hans Lehrach, has been awarded with the “Stars of Europe” prize by the French Ministry of Higher Education and Research. This award recognizes 12 successful projects led by French research teams and funded by the EU within the 7th Framework Programme (FP7).

This award was presented during the French Horizon 2020 launch event on 16th December at the Sorbonne, Paris, in the presence of the French Minister for Higher Education and Research, Ms. Geneviève Fioraso, the General Director of Research and Innovation of the European Commission, M. Robert Jan Smits, the European Commissioner for Education, Culture, Multilingualism and Youth Androulla Vassiliu and the Lithuanian Minister for Education and Science Mr. Dainius Pavalkis.

The READNA consortium (REvolutionary Approaches and Devices for Nucleic Acid analysis) was formed by 19 partners from 7 countries of the European Community from academia and industry. The main goal was to develop methods to accelerate new breakthrough DNA sequencing technologies, enhance existing analysis methods, and advance nucleic analysis methods to the benefit of patients and society.

The project, which ran from 1st of June 2008 to 30th November 2012, was coordinated by Dr. Ivo Gut, first at the Centre National de Genotypage (CNG), a component of the Institut Génomique of the CEA, where he was Head of Technology Development and Associate Director and then at the CNAG, from January 2010.

“READNA has delivered many new technologies for nucleic acid analysis that are being adopted not only by the research community, but also by industry. These tools will deliver improvements in many sectors and will ultimately result in better quality of life” says Ivo Gut.

November 2013 - Sascha Sauer edited the upcoming November/December issue "Diagnostic Proteomics" for the new journal Proteomics - Clinical Applications.

This issue presents a number of concepts and studies to advance in the translation of basic protein research to clinical applications for powerful diagnosis and disease treatment monitoring of complex common diseases. more


If you are interested in joining the group, please do not hesitate to contact us on an informal basis.Undergraduate Students ("Hilfskraft", Master or Diploma Students) are always welcome to apply.

Please send a short CV and motivation letter via email.

BMBF-Group Nutrigenomics and Gene Regulation Group

2. Single-cell transcriptomics

Hitherto, gene-regulating processes are commonly analysed by using pooled cell populations. However, cell-to-cell variation detected by single-cell measurements can reveal deeper insights into the interplay of regulatory circuits and allows to determine the degree of biological plasticity and flexibility to react to environmental changes. Eventually, this single-cell analysis approach provides an unique opportunity to discover exclusive characteristics of a diseased cell state. But due to recent technical limitations this approach remained largely unexplored.
Recently, we started analysing quantitatively cellular stress-related signaling at the level of individual immune cells. We established methods to measure gene expression of gene sets in hundreds of individual cells by single-cell quantitative reverse transcription PCR. Furthermore, we applied powerful microfluidics based single-cell RNA-seq workflows to decipher pathway modules in the context of cell-environment interactions on a transciptome-wide scale. This approach allowed us to discover new gene-gene interactions during stress response. Eventually our data sets provided us with information to quantify the balancing of a cell between determinacy and flexibility to cope with environmental changes.

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