• Giant nanomachine aids the immune system

    From ScienceDaily@1337:3/111 to All on Fri Aug 28 21:30:36 2020
    Giant nanomachine aids the immune system

    Date:
    August 28, 2020
    Source:
    Ruhr-University Bochum
    Summary:
    In order to kill diseased cells, our immune system must first
    identify them. The so-called peptide-loading complex plays a key
    role in this process. A research team has analyzed this nanomachine
    in atomic detail.



    FULL STORY ========================================================================== Cells that are infected by a virus or carry a carcinogenic mutation,
    for example, produce proteins foreign to the body. Antigenic peptides
    resulting from the degradation of these exogenous proteins inside the
    cell are loaded by the peptide-loading complex onto so-called major histocompatibility complex molecules (MHC for short) and presented on the
    cell surface. There, they are specifically identified by T-killer cells,
    which ultimately leads to the elimination of the infected cells. This
    is how our immune system defends us against pathogens.


    ========================================================================== Machine operates with atomic precision The peptide-loading complex
    ensures that the MHC molecules are correctly loaded with antigens. "The peptide-loading complex is a biological nanomachine that has to work with atomic precision in order to efficiently protect us against pathogens
    that cause disease," says Professor Lars Scha"fer, Head of the Molecular Simulation research group at the Centre for Theoretical Chemistry at RUB.

    In previous studies, other teams successfully determined the structure
    of the peptide-loading complex using cryo-electron microscopy, but only
    with a resolution of about 0.6 to 1.0 nanometres, i.e. not in atomic
    detail. Based on these experimental data, Scha"fer's research team in collaboration with Professor Gunnar Schro"der from Forschungszentrum
    Ju"lich has now succeeded in creating an atomic structure of the peptide-loading complex.

    Exploring structure and dynamics "The experimental structure is
    impressive. But only with our computer-based methods were we able to
    extract the maximum information content contained in the experimental
    data," explains Schro"der. The atomic model enabled the researchers
    to perform detailed molecular dynamics computer simulations of the peptide-loading complex and thus to study not only the structure but
    also the dynamics of the biological nanomachine.

    Since the simulated system is extremely large with its 1.6 million
    atoms, the computing time at the Leibnitz Supercomputing Centre in
    Munich aided this task considerably. "Using the high-performance
    computer, we were able to push into the microsecond time scale in
    our simulations. This revealed the role of sugar groups bound to the
    protein for the mechanism of peptide loading, which had previously only
    been incompletely understood," outlines Dr. Olivier Fisette, postdoc
    researcher at the Molecular Simulation research group.

    Direct intervention in immune processes The atomic model of the
    peptide-loading complex now facilitates further studies. For example,
    some viruses try to cheat our immune system by selectively switching off certain elements of the peptide-loading complex. "One feasible objective
    we'd like to pursue is the targeted intervention in these processes,"
    concludes Scha"fer.


    ========================================================================== Story Source: Materials provided by Ruhr-University_Bochum. Note:
    Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Olivier Fisette, Gunnar F. Schro"der, Lars V. Scha"fer. Atomistic
    structure and dynamics of the human MHC-I peptide-loading complex.

    Proceedings of the National Academy of Sciences, 2020; 117 (34):
    20597 DOI: 10.1073/pnas.2004445117 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/08/200828091953.htm

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