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  • The molecular landscape of microphthalmia transcription factor family translocation renal cell carcinoma tumours remain to be characterised. Here, the authors perform proteogenomic analysis and reveal dysregulation of DNA repair, mTOR signalling and metabolic processes.

    • Yuanyuan Qu
    • Xiaohui Wu
    • Chen Ding
    ArticleOpen Access
  • TRPV2 is activated by temperature and cannabinoids. Here, the authors have used cryo-EM and electrophysiology to identify a cannabinoid binding site distinct from that of cannabidiol as a possible drug target for treatment of inflammation and immune-mediated diseases.

    • Liying Zhang
    • Charlotte Simonsen
    • Peter M. Zygmunt
    ArticleOpen Access
  • Halogen bonding is widely adopted in organic synthesis and supramolecular crystal engineering but application of halogen bonding in the design of stimuli-responsive materials is challenging. Here, the authors report a liquid crystalline network that contains dynamic halogen-bond crosslinks and possesses reversible thermo-responsive shape memory behaviour.

    • Hongshuang Guo
    • Rakesh Puttreddy
    • Arri Priimagi
    ArticleOpen Access
  • The filamentous cyanobacterium Nostoc regulates communication between sister cells via a conformational change in septal junctions. Here, the authors identify and characterize protein SepN as a component of septal junctions, and highlight the importance of controlling molecular diffusion between cells to ensure the survival of a multicellular organism.

    • Ann-Katrin Kieninger
    • Piotr Tokarz
    • Iris Maldener
    ArticleOpen Access
  • Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.

    • Sarthak Pati
    • Ujjwal Baid
    • Spyridon Bakas
    ArticleOpen Access
  • Getting a grip on the chaotic properties of quantum systems is difficult. Now, the effect of translational invariance in space in time in an ensemble of random quantum circuits is shown to lead to largely universal scaling laws describing the system without the need of knowing microscopic details.

    • Amos Chan
    • Saumya Shivam
    • Andrea De Luca
    ArticleOpen Access
  • Here, the authors characterize the microbiome and resistome in a longitudinal cohort of 159 international students visiting the Andean city of Cusco, Peru. They find that international travel associates with spread of antimicrobial resistance, and that travelers’ diarrhea increases a persons’ risk for acquiring antimicrobial-resistant pathogens, while a diverse, “healthy” microbiome can be protective against diarrhea.

    • Manish Boolchandani
    • Kevin S. Blake
    • Gautam Dantas
    ArticleOpen Access
  • Object detection using machine learning universally requires vast amounts of training datasets. Midtvedt et al. proposes a deep-learning method that enables detecting microscopic objects with sub-pixel accuracy from a single unlabeled image by exploiting the roto-translational symmetries of the problem.

    • Benjamin Midtvedt
    • Jesús Pineda
    • Giovanni Volpe
    ArticleOpen Access
  • Bacteriophage are natural antibiotic agents and provide natural building blocks for living biomaterials. Here, the authors crosslink self-organised bacteriophages to make sprayable microgels which preserves the natural antibacterial action, have tuneable auto-fluorescence and demonstrate application in food decontamination.

    • Lei Tian
    • Leon He
    • Zeinab Hosseinidoust
    ArticleOpen Access
  • Since the Paris Agreement recognized in 2015 cities have pledged climate actions that often exceed the scope and ambition of their national governments’ policies but there is scant evidence of these actions’ outcomes, largely because of the lack of reported emissions data. Here the authors utilize spatially explicit datasets relevant to urban carbon emissions and self-reported emissions data from European cities, and develops a machine-learning approach to predict and explore trends in city-scale mitigation.

    • Angel Hsu
    • Xuewei Wang
    • Nihit Goyal
    ArticleOpen Access