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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...

News

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 algorithms, improving their prediction-making ability.

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News

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 essential family of RBPs, the Rbfox family, was thought to bind one...

News

Bringing RNA into genomics

Posted
July 29, 2020

ENCODE consortium identifies RNA sequences that are involved in regulating gene expression.

 

The human genome contains about 20,000 protein-coding genes, but the coding parts of our genes account for only about 2 percent of the entire genome. For the past two decades, scientists have been trying to find out what the other 98 percent is doing.

 

A research consortium known as ENCODE (Encyclopedia of DNA Elements) has made significant...