Research Field

Processing & Metabolism

Understanding the "mRNP code" that determines the fate, function, and regulation of messenger RNAs.

B - Nucleic Acid Metabolism & Homeostasis
B2

Description

Messenger RNAs function within dynamic messenger ribonucleoprotein particles (mRNPs) that govern their processing, localization, translation, and degradation. This research area investigates how mRNAs are assembled into distinct mRNPs throughout their life cycle and how these assemblies determine RNA fate and function. A central goal is to uncover the molecular principles of the “mRNP code” that links RNA sequence elements and associated proteins to gene regulation.

The research examines the composition, structure, and dynamics of mRNPs across different cellular states and conditions. It explores how specific RNA elements and interacting factors influence mRNA processing, transport, translation, and decay, and how these processes are coordinated within broader regulatory networks. The project also investigates interactions between viral nucleic acids and host cellular factors, including mechanisms that support or restrict viral replication. Together, these studies aim to establish a mechanistic understanding of mRNP organization and its role in controlling gene expression and cellular function.

Area B2

Researchers

A3
B2
B3
Associated Investigator

Prof. Dr.

John Briggs

Director Department Cell and Virus Structure

Max-Planck-Institut für Biochemie

B2
Principal Investigator

Prof. Dr.

Elena Conti

Director Department Structural Cell Biology

Max-Planck-Institut für Biochemie

A2
B2
C2
Principal Investigator

Prof. Dr.

Utz Fischer

Chair of Biochemistry I, Theodor Boveri Institute, Biocenter, Faculty of Chemistry and Pharmacy

Julius-Maximilians-Universität Würzburg

B2
Associated Investigator

Prof. Dr.

Vigo Heissmeyer

Biomedical Center and Institute for Immunology, Faculty of Medicine

Ludwig-Maximilians-Universität München

A2
B1
B2
B3
C2
Principal Investigator

Prof. Dr.

Claudia Höbartner

Chair of Organic Chemistry I, Institute of Organic Chemistry, Faculty of Chemistry and Pharmacy

Julius-Maximilians-Universität Würzburg

A3
B2
A1
Principal Investigator

Prof. Dr.

Andreas Pichlmair

Professor of Viral Immunopathology, Institute of Virology, TUM School of Medicine and Health

Technische Universität München

A3
B2
C3
Principal Investigator

Prof. Dr.

Ulrike Protzer

Chair of Virology, Director, Institute of Virology, TUM School of Medicine and Health

Technische Universität München

A2
B2
C3
Principal Investigator
Steering Committee

Prof. Dr.

Michael Sattler

Chair of Biomolecular NMR-Spectroscopy, Director, Institute of Structural Biology and Bavarian NMR Center, Department of Bioscience, TUM School of Natural Sciences, Head of Helmholtz Molecular Targets & Therapeutics Center

Technische Universität München und Helmholtz Munich

B2
A1
C2
Principal Investigator
Speaker
Steering Committee

Prof. Dr.

Cynthia Sharma

Chair of Molecular Infection Biology II, Institute of Molecular Infection Biology, Faculty of Medicine

Julius-Maximilians-Universität Würzburg

B2
A1
Associated Investigator

Prof. Dr.

Alexander Westermann

Professor at the Department of Microbiology, Theodor Boveri Institute, Biocenter, Faculty of Biology

Julius-Maximilians-Universität Würzburg

A2
C1
B2
Associated Investigator

Prof. Dr.

Kathi Zarnack

Chair of Bioinformatics II, Theodor Boveri Institute, Biocenter, Faculty of Biology

Julius-Maximilians-Universität Würzburg

Area B2

Publications

Embedded ethics: a proposal for integrating ethics into the development of medical AI.

McLennan, S.; Fiske, A.; Tigard, D.; Müller, R.; Haddadin, S.; Buyx, A.

BMC Med Ethics. · 2022

Show abstract

The emergence of ethical concerns surrounding artificial intelligence (AI) has led to an explosion of high-level ethical principles being published by a wide range of public and private organizations. However, there is a need to consider how AI developers can be practically assisted to anticipate, identify and address ethical issues regarding AI technologies. This is particularly important in the development of AI intended for healthcare settings, where applications will often interact directly with patients in various states of vulnerability. In this paper, we propose that an 'embedded ethics' approach, in which ethicists and developers together address ethical issues via an iterative and continuous process from the outset of development, could be an effective means of integrating robust ethical considerations into the practical development of medical AI.

Broad consent for health care-embedded biobanking: understanding and reasons to donate in a large patient sample.

Richter, G.; Krawczak, M.; Lieb, W.; Wolff, L.; Schreiber, S.; Buyx, A.

Genet Med. · 2018

Show abstract

PurposeTo facilitate ethically acceptable and practically successful health care-embedded biobanking, the attitudes and understanding of patients and their motivation to participate need to be explored.MethodsA questionnaire study was conducted among 760 outpatients of a northern German university hospital to assess their awareness of, and motivation for giving broad consent to health care-embedded biobanking, also addressing the issue of feedback on individual-level research findings.ResultsThe overall willingness to give broad consent was high (86.9%) in our study, even though the subjective and objective understanding of patients was found to be only modest. Most participants who consented did so for prosocial reasons (altruism, solidarity, reciprocity, gratitude), whereas self-interest or worries about disadvantages played only a marginal role. Better objective understanding was associated with both a greater demand for feedback on individual research findings and a higher willingness to consent. Intermittent modification of the information material provided by the hospital led to significantly improved objective understanding.ConclusionPatient willingness to give broad consent to health care-embedded biobanking is high, with prosocial reasons driving decision making more than factual knowledge and approval or disapproval of specific consent elements. Future efforts to improve the information material used in health care-embedded biobanking should therefore emphasize prosocial reasons to consent.