• Pandemic's urgency drove new collaborati

    From ScienceDaily@1:317/3 to All on Fri Apr 1 22:30:36 2022
    Pandemic's urgency drove new collaborative approaches worldwide
    SAVE team changed how science is done, spanning 58 institutions

    Date:
    April 1, 2022
    Source:
    DOE/Los Alamos National Laboratory
    Summary:
    In a new paper, nearly 130 authors from institutions around the
    world describe their groundbreaking collaborative work, 'Defining
    the risk of SARS-CoV-2 variants on immune protection.'


    FULL STORY ==========================================================================
    In a paper in the journal Nature, Los Alamos National Laboratory
    scientists Bette Korber, Hyejin Yoon, Will Fischer and James Theiler,
    among nearly 130 authors from institutions around the world, describe
    their groundbreaking collaborative work, "Defining the risk of SARS-CoV-2 variants on immune protection."

    ========================================================================== Korber, Fischer, Yoon and Theiler are members of a rarified team that
    the National Institute of Allergy and Infectious Diseases assembled in
    January 2021, drawing on experts from around the world who specialize in relevant research fields such as viruses, the immune system, vaccines, epidemiology, structural biology, bioinformatics, virus genetics,
    and evolution. The team is called SAVE, for SARS-CoV-2 Assessment of
    Viral Evolution.

    As noted in the Nature paper, the authors state, "This effort was designed
    to provide a real-time risk assessment of SARS-CoV-2 variants potentially impacting transmission, virulence, and resistance to convalescent
    and vaccine- induced immunity. The SAVE program serves as a critical data-generating component of the United States Government SARS-CoV-2 Interagency Group to assess implications of SARS-CoV-2 variants on
    diagnostics, vaccines and therapeutics and for communicating public
    health risk." Broad model for rapid response SAVE focuses on mutations
    in SARS-CoV-2 and emerging virus variants. But its members say the global collaborative concept "is a broad model for rapidly responding to evolving pathogens with pandemic potential." "Over the past two decades, we have witnessed the emergence/re-emergence of several RNA viruses, including
    West Nile virus, H1N1 influenza virus, chikungunya virus, Zika virus, SARS-CoV-1, MERS-CoV and Ebola virus, that have threatened global public health," the paper's summary states. "Developing collaborative programs
    between academic, industry and commercial partners is essential to
    respond to rapidly evolving viruses," said Marciela DeGrace of NIAID,
    the paper's lead author.



    ==========================================================================
    SAVE members represent 58 different research sites located in the United
    States and around the world. Members participate within three sub-groups:
    * Early Detection and Analysis * In Vitro -- what they can learn
    using flasks, beakers and tubes * In Vivo -- what they can learn in
    animal models that mimic human disease
    Early detection methods Korber's team was part of the Early Detection and Analysis team, where such high-impact work as the initial identification
    of mutations in the virus made waves in the scientific community before
    its capacity for mutation had been clearly understood and accepted.

    The Nature paper notes, "The process is collaborative and iterative, with
    seven teams using independent models and methodologies to prioritize
    mutations and lineages as well as rank importance for downstream
    testing. While the focus is on human infections, the Early Detection
    group also monitors variants circulating in animal populations, such
    as mink and deer, since they represent a potential reservoir source."
    On a weekly basis, the SAVE Early Detection and Analysis team reviews
    downloads of SARS-CoV-2 genomes from the international initiative
    for sequence sharing, GISAID. They search for variant and co-variant
    signatures in the genomes, then divide the work into two approaches:
    * one based on convergent evolution as the main signal for selection
    and
    functional impact of mutations (done byCambridge and Walter Reed
    Army Institute of Research teams)
    * the other anchored on prevalence and growth patterns of mutations
    and
    defined lineages (the role ofLos Alamos, Icahn School of Medicine at
    Mount Sinai, J. Craig Venter Institute/Bacterial Viral Bioinformatic
    Resource Center, UC-Riverside and Broad Institute teams)
    Highlights of Los Alamos impact


    ==========================================================================
    At Los Alamos, the Korber team identifies emergent mutational patterns
    within the SARS-CoV-2 spike protein to track newly emerging and expanding variants and determine transitions in global and regional sampling
    frequencies over time, which is the specialty area in which Los Alamos
    has made a huge impact.

    They pay particular attention to mutations in parts of the spike
    protein known to be highly targeted by antibodies, or that might impact infectivity. They also systematically define the most commonly circulating
    form of each emerging variant of interest or concern against the backdrop
    of the continuously evolving virus.

    "Identifying the emerging variants, and obtaining accurate sequences
    for those variants, required continued wrangling of burgeoning data,"
    said Theiler.

    "There are now close to 10 million SARS-CoV-2 sequences in GISAID. These sequences, however, are non-uniformly sampled, are often partial and
    some contain errors, and of course it is the newest variants that give
    the sequencers the most trouble." "The tools we developed, along with
    our colleagues on the LANL COVID-19 Viral Genome Analysis Pipeline (cov.lanl.gov), provided the infrastructure that enabled us to follow
    this pandemic though its various waves," he added.

    Korber noted that "by working with the SAVE Early Detection team, we
    were able to be part of a synergistic collaborative effort, where our
    results in terms of early detection could be cross-checked with those
    of others." She added, "The real beauty of being part of the larger
    SAVE project was the knowledge that our analysis pipeline could provide foundational support for the many experimental teams in SAVE, and that
    we could help the scientific community get the best version of newly
    emergent variants into their laboratories as quickly and accurately as possible. In this way the science needed to understand the immunological
    and virological characteristics of new variants was rapidly obtained,
    in time to help inform public health decisions."

    ========================================================================== Story Source: Materials provided by
    DOE/Los_Alamos_National_Laboratory. Note: Content may be edited for
    style and length.


    ========================================================================== Journal Reference:
    1. Marciela M. DeGrace, Elodie Ghedin, Matthew B. Frieman, Florian
    Krammer,
    Alba Grifoni, Arghavan Alisoltani, Galit Alter, Rama R. Amara,
    Ralph S.

    Baric, Dan H. Barouch, Jesse D. Bloom, Louis-Marie Bloyet, Gaston
    Bonenfant, Adrianus C. M. Boon, Eli A. Boritz, Debbie L. Bratt,
    Traci L.

    Bricker, Liliana Brown, William J. Buchser, Juan Manuel Carren~o,
    Liel Cohen-Lavi, Tamarand L. Darling, Meredith E. Davis-Gardner,
    Bethany L.

    Dearlove, Han Di, Meike Dittmann, Nicole A. Doria-Rose, Daniel
    C. Douek, Christian Drosten, Venkata-Viswanadh Edara, Ali Ellebedy,
    Thomas P.

    Fabrizio, Guido Ferrari, William C. Florence, Ron A. M. Fouchier,
    John Franks, Adolfo Garci'a-Sastre, Adam Godzik, Ana Silvia
    Gonzalez-Reiche, Aubree Gordon, Bart L. Haagmans, Peter J. Halfmann,
    David D. Ho, Michael R. Holbrook, Yaoxing Huang, Sarah L. James,
    Lukasz Jaroszewski, Trushar Jeevan, Robert M. Johnson, Terry
    C. Jones, Astha Joshi, Yoshihiro Kawaoka, Lisa Kercher, Marion
    P. G. Koopmans, Bette Korber, Eilay Koren, Richard A. Koup, Eric
    B. LeGresley, Jacob E. Lemieux, Mariel J.

    Liebeskind, Zhuoming Liu, Brandi Livingston, James P. Logue,
    Yang Luo, Adrian B. McDermott, Margaret J. McElrath, Victoria
    A. Meliopoulos, Vineet D. Menachery, David C. Montefiori, Barbara
    Mu"hlemann, Vincent J.

    Munster, Jenny E. Munt, Manoj S. Nair, Antonia Netzl, Anna M.

    Niewiadomska, Sijy O'Dell, Andrew Pekosz, Stanley Perlman,
    Marjorie C.

    Pontelli, Barry Rockx, Morgane Rolland, Paul W. Rothlauf, Sinai
    Sacharen, Richard H. Scheuermann, Stephen D. Schmidt, Michael
    Schotsaert, Stacey Schultz-Cherry, Robert A. Seder, Mayya Sedova,
    Alessandro Sette, Reed S.

    Shabman, Xiaoying Shen, Pei-Yong Shi, Maulik Shukla, Viviana
    Simon, Spencer Stumpf, Nancy J. Sullivan, Larissa B. Thackray,
    James Theiler, Paul G. Thomas, Sanja Trifkovic, Sina Tu"reli,
    Samuel A. Turner, Maria A.

    Vakaki, Harm van Bakel, Laura A. VanBlargan, Leah R. Vincent,
    Zachary S.

    Wallace, Li Wang, Maple Wang, Pengfei Wang, Wei Wang, Scott
    C. Weaver, Richard J. Webby, Carol D. Weiss, David E. Wentworth,
    Stuart M. Weston, Sean P. J. Whelan, Bradley M. Whitener, Samuel
    H. Wilks, Xuping Xie, Baoling Ying, Hyejin Yoon, Bin Zhou, Tomer
    Hertz, Derek J. Smith, Michael S. Diamond, Diane J. Post, Mehul
    S. Suthar. Defining the risk of SARS- CoV-2 variants on immune
    protection. Nature, 2022; DOI: 10.1038/s41586- 022-04690-5 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/04/220401141340.htm

    --- up 4 weeks, 4 days, 10 hours, 50 minutes
    * Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! (1:317/3)