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Showing 1–7 of 7 results
Advanced filters: Author: Massimo Bonavita Clear advanced filters

  • Here the authors develop an assay capable of selecting Sec61 inhibitors by exploiting the inactivation of firefly luciferase, once translocated into the endoplasmic reticulum (ER), and the possibility of diverting and “re-lighting” luciferase into the cytosol by a Sec61 inhibitor.

    • Fulvia Vitale
    • Gianluca Scerra
    • Massimo D’Agostino
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14

  • Tumor-associated macrophages are pivotal in control over solid tumors. Here the authors show that these macrophages express chemosensors that detect lipid variants in the tumor microenvironment that can regulate the function of these cells.

    • Giulia Marelli
    • Nicolò Morina
    • Diletta Di Mitri
    ResearchOpen Access
    Nature Immunology
    Volume: 26, P: 1182-1197

  • The atypical chemokine receptor ACKR2 regulates immune responses. Here the authors confirm that ACKR2 depletion promotes primary tumor growth but show it has an anti-metastatic effect in mouse models of breast cancer by affecting myeloid differentiation and unleashing the anti-metastatic activity of neutrophils.

    • Matteo Massara
    • Ornella Bonavita
    • Raffaella Bonecchi
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-11

  • This report summarises the main outcomes of the 4th edition of the workshop on Machine Learning (ML) for Earth System Observation and Prediction (ESOP / ML4ESOP) co-organised by the European Space Agency (ESA) and the European Centre for Medium-Range Weather Forecasts (ECMWF). The 4-day workshop was held on 7-10 May 2024 in a hybrid format at the ESA Frascati site with an interactive online component, featuring over 46 expert talks with a record number of submissions and about 800 registrations. The workshop offered leading experts a platform to exchange on the current opportunities, challenges and future directions for applying ML methodology to ESOP. To structure the presentations and discussions, the workshop featured five main thematic areas covering key topics and emerging trends. The most promising research directions and significant outcomes were identified by each thematic area’s Working Group and are the focus of this document.

    • Patrick Ebel
    • Rochelle Schneider
    • Marcin Chrust
    Comments & OpinionOpen Access
    npj Climate and Atmospheric Science
    Volume: 7, P: 1-5

  • NK cells play an important role in anti-tumour immunity, however, the immune-hostile microenvironment often impairs their function. Here authors show that cancers disable autophagy in NK cells, and by restoring this process, intra-tumour NK cells could be re-invigorated.

    • Federica Portale
    • Roberta Carriero
    • Diletta Di Mitri
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-21

  • This report provides a summary of the main outcomes of the 3rd edition of the workshop on Machine Learning (ML) for Earth System Observation and Prediction (ESOP/ML4ESOP) co-organised by the European Centre for Medium-Range Weather Forecasts (ECMWF) and European Space Agency (ESA). The 4-day workshop was held on 14-17 November 2022 in hybrid format, with an in-person component at the ECMWF Reading site and an interactive online component, attracting a record number of submissions and over 700 registrations. The workshop aimed to document the current state-of-the-art, progress and challenges in the rapidly evolving field of the integration of ML technologies in ESOP and to provide a venue for discussion and collaboration for ESOP and ML specialists. The workshop was structured along five main thematic areas covering the principal components of standard ESOP workflows. Highlights from the presentations and a discussion of the most promising development directions from the workshop Working Groups in all the different thematic areas are provided in this Report.

    • Massimo Bonavita
    • Rochelle Schneider
    • Claudia Vitolo
    News & ViewsOpen Access
    npj Climate and Atmospheric Science
    Volume: 6, P: 1-5