What we do

The individual cells of a body exhibit a stunning diversity of phenotypes, despite carrying a largely identical genetic makeup. This is due to the distinct ways in which the same genetic information can be read, interpreted and translated into function. At the RNA Regulatory Networks (RRN) Group at the Biozentrum in Basel, we combine computational modelling with big data and experimental analysis to discover and understand the regulatory networks governing the interpretation of genetic information at the level of tissues and single cells.

Find out more about the Group’s activities

Main publications 2020

  • Ho-Xuan H et al.
    Gene Expression Signatures of a Preclinical Mouse Model during Colorectal Cancer Progression under Low-Dose Metronomic Chemotherapy
    Cancers, 10.3390/cancers13010049
  • Jutzi D et al.
    Aberrant interaction of FUS with the U1 snRNA provides a molecular mechanism of FUS induced amyotrophic lateral sclerosis
    Nature Communications, 10.1038/s41467-020-20191-3
  • Ham D J et al.
    The neuromuscular junction is a focal point of mTORC1 signaling in sarcopenia
    Nature Communications, 10.1038/s41467-020-18140-1


University basel

Mihaela Zavolan
RNA Regulatory Networks Group
University of Basel
Group Webpage

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Domain(s) of activity:

  • Systems biology
  • Data mining
  • Deep sequencing data
  • Experimental biology
  • Gene regulatory network analysis
  • Machine learning
  • Mathematical modelling
  • Single-cell biology
  • Transcriptomics
  • Workflows

Domain(s) of application:

  • Basic research