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Antibiotics bind to and corrupt the functioning of crucial elements of bacterial cells, such as the ribosome that synthesises proteins or RNA polymerase that reads genes to generate mRNA. To counter the action of antibiotics, bacteria have evolved numerous dedicated mechanisms of resistance. Commonly, these resistance mechanisms act by either destroying the antibiotic, pumping it out of the cell or permanently modifying the molecular target so it becomes immune to the antibiotic, e.g. by post-translational modification such as methylation.

2020.06.26 | Research news

High profile review publication on antibiotic resistance from the Hauryliuk and Atkinson labs, MIMS

In this review, published in the influential journal Nature Reviews Microbiology, Umeå researchers Vasili Hauryliuk (also affiliated with Tartu University, Estonia) and Gemma C. Atkinson, together with their collaborators Daniel N. Wilson (University of Hamburg, Germany) and Alex J. O’Neill (University of Leeds, UK) discuss an important and…

Dr Hanna M. Ollila. Photo: FIMM

2020.06.03 | People

Welcome to Hanna M. Ollila

Dr. Hanna M. Ollila is a FIMM-EMBL Group Leader at the Institute for Molecular Medicine Finland (FIMM), based at the University of Helsinki. Hanna specializes in the genetics of sleep and brain autoimmunity. In this interview, Hanna sheds some light on her field of research and elaborates on future plans for her newly established research group.

2020.05.22 | Research news

Researcher profile: Camila Esguerra

Dr Camila Esguerra joined NCMM in 2014. Her research involves using zebrafish as a model to study brain function in health and disease. In this profile article, Camila discusses her research career so far, the benefits of using zebrafish in translational research, and her visions and plans for the future.

Image: Shutterstock

2020.05.07 | Research news

EMBL-EBI launches COVID-19 Data Platform

EMBL's European Bioinformatics Institute (EMBL-EBI) at Hinxton, UK, has created the COVID-19 Data Portal to help coordinate viral genome sequence data across Europe

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