Researchers develop first method to study microRNA activity in single cells

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Researchers develop first method to study microRNA activity in single cells
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Researchers have developed the first method to uncover the tasks that microRNAs perform in single cells. This is a huge improvement over existing state-of-the-art methods that require millions of cells and will for the first time allow researchers to study microRNAs in complex tissues such as brains.

Researchers at Stockholm University and SciLifeLab have developed the first method to uncover the tasks that microRNAs perform in single cells. This is a huge improvement over existing state-of-the-art methods that require millions of cells and will for the first time allow researchers to study microRNAs in complex tissues such as brains.MicroRNAs are small molecules that regulate gene activity by binding to and destroying RNAs produced by the genes.

Now researchers at Stockholm University and SciLifeLab have developed a new method to detect microRNA targets at the level of single cells. Such cells are each around one-hundredth millimeter in diameter and weigh less than a billionth gram, and comprise the basic building blocks of living organisms. With their new sensitive method, the researchers can follow microRNA targeting of thousands of RNAs during biological processes such as the cell cycle or differentiation into red blood cells.

Marc Friedländer, associate professor at Stockholm University, says:"In our research team, we want to understand and ultimately make mathematical models of gene regulation at the level of the single cell. Our new method is a huge leap towards making this possible." The work was spearheaded by Dr. Inna Biryukova, who took a leading role in developing the laboratory method, and by PhD student Vaishnovi Sekar, who performed the bulk of the advanced computational analyses. Vaishnovi Sekar highlights the challenges of the project:"In terms of complexity of the computational work, this is uncharted territory, and we lacked reference points and thresholds.

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