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  • Cell: Cell Press
    Cell publishes findings of unusual significance in any area of experimental biology, including but not limited to cell biology, molecular biology, neuroscience, immunology, virology and microbiology, cancer, human genetics, systems biology, signaling, and disease mechanisms and therapeutics More
  • Cell Press: Home
    About Cell Press Science that inspires We publish research across all areas of science, to advance discovery, drive innovation, and solve our greatest challenges
  • Issue: Cell
    Optovolution leverages optogenetics and the yeast cell cycle to impose rapid, tunable selection, enabling the continuous evolution of light-responsive regulators, logic gates, and other complex protein behaviors that were previously difficult to evolve
  • New articles: Cell
    Integration of electrophysiology with single-cell transcriptomics defines the molecular signature of human dermal sleeping nociceptors and reveals oncostatin M as a selective modulator of these neurons in humans, providing a therapeutic entry point for neuropathic pain
  • Cell Press: Cell
    Cell Biomaterials Cell Reports Physical Science Chem Chem Catalysis Chem Circularity Device Joule Matter Matter Light Newton Trends in Chemistry Multidisciplinary journals Cell Press Blue Cell Reports Methods Cell Reports Sustainability Heliyon iScience One Earth Patterns STAR Protocols Nexus (partner) The Innovation (partner) Trends in
  • Information for authors: Cell
    Cell publishes findings of unusual significance in any area of experimental biology, including but not limited to cell biology, molecular biology, neuroscience, immunology, virology and microbiology, cancer, human genetics, systems biology, signaling, and disease mechanisms and therapeutics The basic criterion for considering papers is whether the results provide significant conceptual
  • Issue archive: Cell
    Browse previous issues of Cell, a Cell Press journal
  • Human interpretable grammar encodes multicellular systems . . . - Cell Press
    We developed a plain text modeling language—a cell behavior hypothesis grammar—to easily build virtual cell models and connect them to data, helping scientists to unlock the hidden dynamics of tissues We provide examples showing how to use them in virtual experiments exploring how cancer responds to the cells in its environment and how the brain forms layers in development




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