News & Events

  • Imaging method reveals a “symphony of cellular activities”

    Posted:
    November 23, 2020

      Fluorescent imaging technique simultaneously captures different signal types from multiple locations in a live cell.        Within a single cell, thousands of molecules, such as proteins, ions, and other signaling molecules, work together to perform all kinds of functions — absorbing nutrients, storing memories, and differentiating into specific tissues, among many others.…

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  • Machine learning uncovers potential new TB drugs

    Posted:
    October 15, 2020

    Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases. Machine learning is a computational tool used by many biologists to analyze huge amounts of data, helping them to identify potential new drugs. MIT researchers have now incorporated a new feature into these types of machine-learning…

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  • New gene regulation model provides insight into brain development

    Posted:
    September 8, 2020

      A well-known protein family binds to many more RNA sequences than previously thought in order to help neurons grow. In every cell, RNA-binding proteins (RBPs) help tune gene expression and control biological processes by binding to RNA sequences. Researchers often assume that individual RBPs latch tightly to just one RNA sequence. For instance, an…

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