High-Resolution Functional Genomics Group

Dr. Andreas Mayer

October 11, 2021

If you want to apply your analytical and experimental skills to determine the key regulatory principles that underlie genome transcription and chromatin regulation in differentiated human cells and during stem cell differentiation, send your application materials to the IMPRS-BAC and join the Max Planck Research Group of Andreas Mayer.

Our research aims at the understanding of the key regulatory principles that drive genome transcription and RNA processing in mature mammalian cells and during cell differentiation. We are especially interested in how nascent transcription by RNA polymerase II (Pol II) is regulated in a dynamic chromatin environment in living cells. We are also interested in how a dysregulation of transcription and RNA processing causes human diseases such as neurodevelopmental disorders. To address these questions, we are developing and applying new quantitative genome-wide approaches in combination with computational analysis tools. For a more general description of our research please visit this recent article highlighting our research. A more detailed description can be found in our most recent research article or in a previous review.

Sample Ph.D. project: Revealing BET protein-specific functions in transcription and chromatin regulation

Our knowledge of the regulatory crosstalk between RNA polymerase II (Pol II) transcription and chromatin organization to control cell function is still incomplete. In this project, we will focus on elucidating the specific role of BET bromodomain proteins in transcription and chromatin regulation. BET proteins act at the interface of transcription and chromatin structure regulation. The most prominent member of the BET protein family, BRD4, has emerged as a therapeutic target in a range of human diseases. Here, we will study the functions of BET proteins in different human cellular models and during stem cell differentiation. We will use functional genomics approaches (CRISPR, subcellular RNA-seq, ChIP-seq and other techniques) including advanced computational methods (machine learning modeling, multi-omics data integration, visualization) to infer and predict direct functions of BET proteins in the regulatory transcription-chromatin interface. We encourage students with a background in Molecular Biology or in Computational Science or both (Master’s degree in Molecular Biology, Bioinformatics or in similar disciplines) to apply. In case of interest please also visit the website of the Mayer Group which is located at the Max Planck Institute for Molecular Genetics.

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