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Portrait Anna Poetsch

We study the genomics of DNA damage, repair, and mutagenesis. Using a combination of computational biology, machine learning, clinical and experimental data from collaborating labs, we try to understand the underlying mechanisms despite their complexity, and look for routes to bring this knowledge into clinical use.

Previously, I developed novel techniques to measure oxidative DNA damage genome wide and established the associated data analysis strategies. We found an unappreciated mechanism that leads to lower damage rates in coding sequence, which is reflected in the related mutation profiles of cancer genomes. We also found that the genome context specificity of DNA repair processes impacts on other cellular processes and genome editing.

Now we are building on this work with three major focus areas:

  1. The genomics of DNA damage, repair, and DNA damage response
    This area combines several projects that we pursue together with collaborators on mechanistic questions in the DNA damage response. Combining biochemical data with functional genomics approaches, these highly interdisciplinary projects keep us up to speed with the cutting edge mechanistic questions that currently occupy the field.
  2. Learning genome specificity of mutagenesis
    We are using neural networks trained on thousands of whole genome sequencing datasets to model the specificity of mutagenic mechanisms. To investigate the mechanisms and their interactions, we simulate their genome specificity under conditions of different individuals.
    From this investigation we hope to gain a context-specific mechanistic understanding of the genome specificity of mutagenic mechanisms and how individual conditions can influence the location of mutations. Predicting where mutations happen may help to understand one of the roots of long term side effects from cancer treatment and even open possibilities to reduce these without compromising on the desired treatment outcomes.
    Working closely with clinicians, we hope that this combination of looking at mutagenesis from a mechanistic perspective, a clinical perspective, and with cutting edge computational models, will allow us to substantially advance strategies of personalised oncology.
  3. Understanding and learning precision of genome editing
    We previously found that precision of CRISPR mediated genome editing is dependent to a large extent on the guide RNA sequence. This is however not the whole story and different cell types and states also play a role, because of the different regulation of their DNA repair programs. This has a substantial impact on how predictable, safe, and precise genome editing is performed.
    We are therefore following up our work on the precision of genome editing by using machine learning on functional genomics data to understand these processes even better and to optimize the design of genome editing approaches with the aim to increase specificity, predictability, and safety.
Anna Poetsch Research: Figure
Figure: Sources of somatic mutagenesis in healthy tissue and carcinogenesis. Mutations accumulate throughout life via intrinsic mechanisms and environmental exposure. Most mutations are of little functional consequence (blue). Other mutations may contribute to clonal expansion (yellow) and initiate tumourigenesis. Within a tumour, additional mutations may occur intrinsically (red) or induced by treatment (pink). Treatment-induced mutations also affect healthy tissue with potential deleterious consequences.

Future Projects and Goals

The goal of the group is to understand the genomics of DNA damage, repair, and mutagenesis. This is a very interdisciplinary task, as it requires an understanding of chemistry, molecular biology, how the genome works, and at the same time the methodology is quantitative, computational and includes cutting methods in machine learning. We will do all this with keeping a close link to the clinical oncologists, because we ultimately want to use our gained knowledge for application in the clinic.

Bringing these ostensibly separate ways of thinking together, will be part of any future project of the group, irrespective of whether it will be part of looking into mechanisms of the DNA damage response, looking at mutations in cancer, or into the basics of genome editing.

Methodological and Technical Expertise

  • Functional Genomics (Multi-omics)
  • Cancer Genomics
  • Genome Editing
  • Next Generation Sequencing Data Analysis
  • Machine Learning

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Anna Poetsch is recruiting in the PhD Spring Selection 2021

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Open Project
  • Genomics of DNA repair
    Preferred Course of Study/Expertise of Candidate: Computational Biology

CV

From 7/2020
Mildred Scheel Early Career Center (MSNZ) research group leader, affiliated with TUD BIOTEC and the National Center for Tumor Diseases, Dresden, Germany

2018–2020
St. Anna Childhood Cancer Research Institute, Vienna

2013–2018
Cancer Research UK/ The Francis Crick Institute/ University College London, United Kingdom: Postdoctoral Research Fellow with Prof. Nicholas Luscombe in Computational Biology studying the genomics of DNA damage and repair in collaboration with Prof. Simon Boulton as fellow of the Peter and Traudl Engelhorn Foundation, with a placement as Visiting Scientist at Okinawa Institute of Science and Technology, Okinawa, Japan

2008–2012
German Cancer Research Center (DKFZ)/ University Heidelberg, Germany: PhD with Prof. Christoph Plass on epigenetic gene regulation in leukemias as a fellow of the Helmholtz Graduate School of Cancer Research

2007
Japanese National Cancer Center Research Institute, Tokyo, Japan: Master Thesis with Prof. Mitsuko Masutani and Prof. Takashi Sugimura on the interaction of DNA damage response and cell fate decisions with awards from the GSK Foundation and Sankyo Foundation

2002–2008
University of Konstanz, Germany: Bachelor and Master of Science in Life Science

Selected Publications

Poetsch AR
The genomics of oxidative DNA damage, repair, and resulting mutagenesis.
CSBJ 18:207–219 (2020)

Chakrabarti AM, Henser-Brownhill T, Monserrat J,Poetsch AR*, Luscombe NM, Scaffidi P*
Target-specific predictability of CRISPR-mediated genome editing.Molecular Cell. 73:1–15 (2019)

Poetsch AR*,Boulton SJ, Luscombe NM
Genomic landscape of oxidative DNA damage and repair reveals regioselective protection from mutagenesis.
Genome Biology 19:215 (2018)

Blake SM, Stricker SH, Halavach H,Poetsch AR, Cresswell G, Kelly G, Kanu N, Marino S, Luscombe NM, Pollard SM, Behrens A
Inactivation of the ATMIN/ATM pathway protects against glioblastoma formation.
Elife 5. pii: e08711 (2016)

* corresponding authors

Contact

Biotechnology Center of the TU Dresden (BIOTEC)
Tatzberg 47/49
01307 Dresden