35 results found
    1. Genetics and Genomics
    2. Medicine

    Association of Toll-like receptor 7 variants with life-threatening COVID-19 disease in males: findings from a nested case-control study

    Chiara Fallerini et al.
    In the context of susceptibility to severe COVID-19, the observations of a study provide the basis for a personalized interferon-based therapy in patients with rare TLR7 variants.
    1. Cell Biology
    2. Developmental Biology

    Physically asymmetric division of the C. elegans zygote ensures invariably successful embryogenesis

    Radek Jankele et al.
    Systematic analysis of C. elegans zygotes manipulated to divide equally demonstrates that daughter cell size asymmetry is critical for proper cell cycle timing, positioning, and fates during subsequent embryogenesis.
    1. Immunology and Inflammation

    Developing a multivariate prediction model of antibody features associated with protection of malaria-infected pregnant women from placental malaria

    Elizabeth H Aitken et al.
    Machine learning identified six protective antibody features and showed for the first time that serological markers can predict protection from placental-malaria, which is important for evaluation and development of vaccines.
    1. Genetics and Genomics
    2. Medicine

    COVID-19: Rare variants increase the risk of severe COVID-19

    Frank L van de Veerdonk, Mihai G Netea
    Evidence is mounting that rare loss-of-function variants in the TLR7 gene predispose men with no medical history to severe forms of COVID-19.
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    1. Cell Biology
    2. Computational and Systems Biology

    Identifying molecular features that are associated with biological function of intrinsically disordered protein regions

    Taraneh Zarin et al.
    A statistical model systematically associates functions of intrinsically disordered regions with sequence-distributed molecular features such as charge, residue composition, or repeat content.
    1. Cell Biology
    2. Computational and Systems Biology

    Active machine learning-driven experimentation to determine compound effects on protein patterns

    Armaghan W Naik et al.
    In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.
    1. Neuroscience

    Characterizing a psychiatric symptom dimension related to deficits in goal-directed control

    Claire M Gillan et al.
    A dimensional approach to psychiatry demonstrates the specificity and generalizability of a neurocognitive marker of compulsive behavior and intrusive thought via large-scale online testing.
    1. Epidemiology and Global Health
    2. Immunology and Inflammation

    A single, continuous metric to define tiered serum neutralization potency against HIV

    Peter Hraber et al.
    To quantify serum or antibody activity against HIV-1, logistic regression of single-dilution neutralization outcomes can efficiently summarize neutralization potency and indicate which samples may lack sufficient statistical support, for high-throughput screening in large-scale vaccine trials.
    1. Genetics and Genomics

    Utility of polygenic embryo screening for disease depends on the selection strategy

    Todd Lencz et al.
    Preimplantation screening of embryos using polygenic risk scores may substantially reduce risk for a given complex disease, but this effect depends on several quantifiable factors and raises significant ethical issues.
    1. Neuroscience

    An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

    Thomas Zhihao Luo et al.
    Techniques are presented to facilitate widespread and standardized chronic use of Neuropixels probes for high-yield, long-term neural recording in freely moving animals.

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