10 research outputs found

    #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

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    We seek to completely revise current models of airborne transmission of respiratory viruses by providing never-before-seen atomic-level views of the SARS-CoV-2 virus within a respiratory aerosol. Our work dramatically extends the capabilities of multiscale computational microscopy to address the significant gaps that exist in current experimental methods, which are limited in their ability to interrogate aerosols at the atomic/molecular level and thus obscure our understanding of airborne transmission. We demonstrate how our integrated data-driven platform provides a new way of exploring the composition, structure, and dynamics of aerosols and aerosolized viruses, while driving simulation method development along several important axes. We present a series of initial scientific discoveries for the SARS-CoV-2 Delta variant, noting that the full scientific impact of this work has yet to be realized

    Revealing the Impacts of Chemical Complexity on Submicron Sea Spray Aerosol Morphology

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    Sea spray aerosol (SSA) ejected through bursting bubbles at the ocean surface are complex mixtures of salts and organic species. Composition affects their ability to form marine clouds which cover nearly three-quarters of the Earth and play a critical role in the climate system. Submicron SSA particles have long lifetimes in the atmosphere and impact the Earths climate, yet their cloud-forming potential is difficult to study at the single-particle level using conventional experimental techniques due to their small size. Here, we use large-scale molecular dynamics (MD) simulations as a computational microscope to provide never-before-seen, dynamical views of 40-nm model aerosol particles and their detailed molecular morphologies. We investigate how increasing chemical complexity impacts the distribution and partitioning of organic material throughout individual particles for a range of organic constituents with varying chemical properties. Our simulations show that organic surfactants commonly found in SSA readily partition between both the surface and interior of the aerosol, indicating that nascent SSA may be more heterogeneous than traditional morphological models suggest. We support our computational observations of heterogeneity at the SSA surface with Brewster angle microscopy on model interfaces. Ultimately, our work establishes large-scale MD simulations as a novel technique for interrogating aerosols at the single-particle level, and shows the morphological mechanisms underlying why submicron SSA readily absorb waterand thus have a higher cloud forming potentialthan would otherwise be predicted for organic-rich aerosols

    Derlin rhomboid pseudoproteases employ substrate engagement and lipid distortion to enable the retrotranslocation of ERAD membrane substrates.

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    Nearly one-third of proteins are initially targeted to the endoplasmic reticulum (ER) membrane, where they are correctly folded and then delivered to their final cellular destinations. To prevent the accumulation of misfolded membrane proteins, ER-associated degradation (ERAD) moves these clients from the ER membrane to the cytosol, a process known as retrotranslocation. Our recent work in Saccharomyces cerevisiae reveals a derlin rhomboid pseudoprotease, Dfm1, is involved in the retrotranslocation of ubiquitinated ERAD membrane substrates. In this study, we identify conserved residues of Dfm1 that are critical for retrotranslocation. We find several retrotranslocation-deficient Loop 1 mutants that display impaired binding to membrane substrates. Furthermore, Dfm1 possesses lipid thinning function to facilitate in the removal of ER membrane substrates, and this feature is conserved in its human homolog, Derlin-1, further implicating that derlin-mediated retrotranslocation is a well-conserved process

    #COVIDisAirborne:AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

    No full text
    We seek to completely revise current models of airborne transmission of respiratory viruses by providing never-before-seen atomic-level views of the SARS-CoV-2 virus within a respiratory aerosol. Our work dramatically extends the capabilities of multiscale computational microscopy to address the significant gaps that exist in current experimental methods, which are limited in their ability to interrogate aerosols at the atomic/molecular level and thus obscure our understanding of airborne transmission. We demonstrate how our integrated data-driven platform provides a new way of exploring the composition, structure, and dynamics of aerosols and aerosolized viruses, while driving simulation method development along several important axes. We present a series of initial scientific discoveries for the SARS-CoV-2 Delta variant, noting that the full scientific impact of this work has yet to be realized
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