Targeted metabolomics analysis of primary WT murine bone marrow-derived macrophages (BMDM) mock-treated or infected with methicillin-resistant Staphylococcus aureus (MRSA) (File S1). Targeted metabolomics analysis of mock-treated or MRSA-infected WT or Ifnar1-/- iBMDM (File S2).
Type I interferon governs immunometabolic checkpoints that coordinate inflammation during Staphylococcal infection Mack B. Reynolds, Benjamin Klein, Michael J. McFadden, Norah K. Judge, Hannah E. Navarrete, Britton C Michmerhuizen, Dominik Awad, Tracey L. Schultz, Paul W. Harms, Li Zhang, Teresa R. O’Meara, Jonathan Z. Sexton, Costas A. Lyssiotis, J. Michelle Kahlenberg, Mary X. O’Riordan bioRxiv 2024.01.10.575104; doi: https://doi.org/10.1101/2024.01.10.575104 and Reynolds et al., Type I Interferon governs immunometabolic checkpoints that coordinate inflammation during Staphylococcal infection, Cell Reports (2024), https://doi.org/10.1016/j.celrep.2024.114607
A growing body of work has linked key biological activities to the mechanical properties of cellular membranes, and as a means of identification. Here, we present a computational approach to simulate and compare the vibrational spectra in the low-THz region for mammalian and bacterial membranes, investigating the effect of membrane asymmetry and composition, as well as the conserved frequencies of a specific cell. We find that asymmetry does not impact the vibrational spectra, and the impact of sterols depends on the mobility of the components of the membrane. We demonstrate that vibrational spectra can be used to distinguish between membranes and, therefore, could be used in identification of different organisms. The method presented, here, can be immediately extended to other biological structures (e.g., amyloid fibers, polysaccharides, and protein-ligand structures) in order to fingerprint and understand vibrations of numerous biologically-relevant nanoscale structures.
