Biology subjects

Dommer, A.

Publications and source records attributed to Dommer, A..

2 recordsLinked to original sources

bioRxiv2021

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

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 ob-scure 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. ACM Reference FormatAbigail Dommer1{dagger}, Lorenzo Casalino1{dagger}, Fiona Kearns1{dagger}, Mia Rosenfeld1, Nicholas Wauer1, Surl-Hee Ahn1, John Russo,2 Sofia Oliveira3, Clare Morris1, AnthonyBogetti4, AndaTrifan5,6, Alexander Brace5,7, TerraSztain1,8, Austin Clyde5,7, Heng Ma5, Chakra Chennubhotla4, Hyungro Lee9, Matteo Turilli9, Syma Khalid10, Teresa Tamayo-Mendoza11, Matthew Welborn11, Anders Christensen11, Daniel G. A. Smith11, Zhuoran Qiao12, Sai Krishna Sirumalla11, Michael OConnor11, Frederick Manby11, Anima Anandkumar12,13, David Hardy6, James Phillips6, Abraham Stern13, Josh Romero13, David Clark13, Mitchell Dorrell14, Tom Maiden14, Lei Huang15, John McCalpin15, Christo- pherWoods3, Alan Gray13, MattWilliams3, Bryan Barker16, HarindaRajapaksha16, Richard Pitts16, Tom Gibbs13, John Stone6, Daniel Zuckerman2*, Adrian Mulholland3*, Thomas MillerIII11,12*, ShantenuJha9*, Arvind Ramanathan5*, Lillian Chong4*, Rommie Amaro1*. 2021. #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy ofDeltaSARS-CoV-2 in a Respiratory Aerosol. In Supercomputing 21: International Conference for High Perfor-mance Computing, Networking, Storage, and Analysis. ACM, New York, NY, USA, 14 pages. https://doi.org/finalDOI

biophysics↗

bioRxiv2021

Acquired resistance to PD-L1 inhibition is associated with an enhanced type I IFN-stimulated secretory program in tumor cells

BackgroundInterferon (IFN) pathway activation in tumors can have dual, sometimes opposing, influences on immune responses. Therapeutic inhibition of programmed cell death ligand (PD-L1) - a treatment that reverses PD-1-mediated suppression of tumor-killing T-cells - is linked to alterations in IFN signaling; however, less is known about the role of IFNs after treatment resistance. Since IFN-regulated intracellular signaling can control extracellular secretory programs in tumors to modulate immunity, we examined the consequences of PD-L1 blockade on IFN-related secretory changes in preclinical models of acquired resistance. MethodsTherapy-resistant cell variants were derived from orthotopically grown mouse tumors initially sensitive or insensitive to PD-L1 antibody treatment. Cells representing acquired resistance were analyzed for changes to IFN-regulated secretory machinery that could impact tumor progression. ResultsWe identified a PD-L1 treatment-induced secretome (PTIS) that was enriched for several IFN-stimulated genes (ISGs) and significantly enhanced when stimulated by type I IFNs (IFN or IFN{beta}). Secretory changes were specific to treatment-sensitive tumor models and found to suppress activation of T cells ex vivo while diminishing tumor cell cytotoxicity, revealing a tumor-intrinsic treatment adaptation with potentially broad tumor-extrinsic effects. When reimplanted in vivo, resistant tumor growth was slowed by the blockade of individual secreted PTIS components (such as IL6) and stopped altogether by a more generalized disruption of type I IFN signaling. In vitro, genetic or therapeutic methods to target PD-L1 could only partially recapitulate the IFN-enhanced PTIS phenotype, showing that in vivo-based systems with intact tumor:immune cell interactions are needed to faithfully mimic acquired resistance as it occurs in patients. ConclusionsThese results suggest that prolonged in vivo PD-L1 inhibition can rewire type I IFN signaling to drive secretory programs that help protect tumors from immune cell attack and represent a targetable vulnerability to overcome acquired resistance in patients.

cancer biology↗