Blar i forfatter "Storflor, Merete"

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    • The bacterial magnesium transporter MgtA reveals highly selective interaction with specific cardiolipin species 

      Weikum, Julia; van Dyck, Jeroen F.; Subramani, Saranya; Klebl, David P.; Storflor, Merete; Muench, Stephen P.; Abel, Sören; Sobott, Frank; Morth, Jens Preben (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-23)
      The bacterial magnesium transporter A (MgtA) is a specialized P-type ATPase important for Mg<sup>2+</sup> import into the cytoplasm; disrupted magnesium homeostasis is linked to intrinsic ribosome instability and antibacterial resistance in Salmonella strains. Here, we show that MgtA has functional specificity for cardiolipin 18:1. Still, it reaches maximum activity only in combination with ...

    • Drug-target binding quantitatively predicts optimal antibiotic dose levels in quinolones 

      Clarelli, Fabrizio; Palmer, Adam; Singh, Bhupender; Storflor, Merete; Lauksund, Silje; Cohen, Ted; Abel, Sören; Abel zur Wiesch, Pia (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-14)
      Antibiotic resistance is rising and we urgently need to gain a better quantitative understanding of how antibiotics act, which in turn would also speed up the development of new antibiotics. Here, we describe a computational model (COMBAT-COmputational Model of Bacterial Antibiotic Target-binding) that can quantitatively predict antibiotic dose-response relationships. Our goal is dual: We address a ...

    • Microbial Adaptation - Responses to External Cues 

      Storflor, Merete (Doctoral thesis; Doktorgradsavhandling, 2024-02-09)
      Bacteria can adapt to various environments because they efficiently sense and respond to external cues. This is exemplified by antibiotic resistance, a leading cause for death on a global scale. Antibiotics exert a selection pressure on bacteria, where improper use can inadvertently select for antibiotic resistance. Dissemination of antibiotic resistance throughout bacterial populations can occur ...

    • RESTAMP – Rate estimates by sequence-tag analysis of microbial populations 

      Mahmutovic, Anel; Gillman, Aaron Nicholas; Lauksund, Silje; Robson Moe, Natasha-Anne; Manzi, Aimé; Storflor, Merete; Abel-Zur Wiesch Genannt Hülsho, Pia Karoline; Abel, Sören (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-19)
      Microbial division rates determine the speed of mutation accumulation and thus the emergence of antimicrobial resistance. Microbial death rates are affected by antibiotic action and the immune system. Therefore, measuring these rates has advanced our understanding of host-pathogen interactions and antibiotic action. Several methods based on marker-loss or few inheritable neutral markers exist that ...