Browse our Research Articles

Page 29 of 1,349
    1. Cancer Biology
    2. Immunology and Inflammation

    Tissue-resident natural killer cells support survival in pancreatic cancer through promotion of cDC1-CD8 T activity

    Simei Go, Constantinos Demetriou ... Eric O Neill
    Tissue-resident natural killer cells are important mediators of CD8 T responses in human cancers and these cells can be harnessed to increase immunity against pancreatic ductal adenocarcinoma.
    1. Microbiology and Infectious Disease

    Paracrine rescue of MYR1-deficient Toxoplasma gondii mutants reveals limitations of pooled in vivo CRISPR screens

    Francesca Torelli, Diogo M da Fonseca ... Moritz Treeck
    Secreted effector proteins of Toxoplasma gondii parasites create a supportive immune environment in mice, allowing individually less fit mutants to thrive and evade detection by in vivo CRISPR screens.
    1. Neuroscience

    Semantic relatedness proactively benefits learning, memory, and interdependence across episodes

    Kelly A Bennion, Jade Phong ... James W Antony
    Increasing semantic relationships with old information accelerates learning and enhances memory for new information and increases the likelihood of both old and new information being recalled together.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Lipid discovery enabled by sequence statistics and machine learning

    Priya M Christensen, Jonathan Martin ... Kelli L Palmer
    A previously unknown lipid modification by a bacterial antibiotic resistance enzyme was identified through the analysis of a family of antibiotic resistance enzyme sequences with a machine learning approach.
    1. Neuroscience

    The identification of extensive samples of motor units in human muscles reveals diverse effects of neuromodulatory inputs on the rate coding

    Simon Avrillon, François Hug ... Dario Farina
    Motor units within a pool exhibit distinct rate coding as force levels change, highlighting how gain control can transform inputs with limited bandwidth into the desired muscle force.
    1. Neuroscience

    Efficient value synthesis in the orbitofrontal cortex explains how loss aversion adapts to the ranges of gain and loss prospects

    Jules Brochard, Jean Daunizeau
    Computational modeling shows how neural mechanisms for mitigating biological constraints (such as neurons’ limited firing range) may eventually result in complex though predictable irrational behavior.
    1. Computational and Systems Biology
    2. Neuroscience

    Decoding contextual influences on auditory perception from primary auditory cortex

    Bernhard Englitz, Sahar Akram ... Shihab Shamma
    The perception of ambiguous steps in relative tone height is predicted by direction-selective cells in the auditory cortex, rather than the brain's represented distance between the tone heights.
    1. Biochemistry and Chemical Biology
    2. Cell Biology

    Endogenous oligomer formation underlies DVL2 condensates and promotes Wnt/β-catenin signaling

    Senem Ntourmas, Martin Sachs ... Dominic B Bernkopf
    Biochemical detection of endogenous, paralog-specific DVL2 complexes, molecular characterization of underlying protein domains and functional evidence for their importance extend the knowledge of Wnt pathway regulation through DVL2 biomolecular condensates.
    1. Stem Cells and Regenerative Medicine

    Pharmacologically inducing regenerative cardiac cells by small molecule drugs

    Wei Zhou, Kezhang He ... Sheng Ding
    Induction of regenerative cardiac cells (RCCs) from human embryonic stem cell-derived cardiomyocytes and neonatal rat cardiomyocytes using a novel two-compound treatment enhances heart function following myocardial infarction and offers a promising avenue for cardiac regeneration through transcriptional and epigenetic reprogramming.
    1. Neuroscience

    Cross-species alignment along the chronological axis reveals evolutionary effect on structural development of the human brain

    Yue Li, Qinyao Sun ... Jiaojian Wang
    A novel methodological strategy based on machine learning has been developed to study brain evolution across species.