New method to make cell activity a "dynamic short film"

New method to make cell activity a "dynamic short film"

August 10, 2018 Source: Science and Technology Daily

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Researchers at Harvard Medical School and the Karolinska Institute in Sweden published a research paper in Nature on the 8th, saying they have developed a new method that can monitor cell decisions through intracellular messenger RNA ( The status of mRNA) predicts the state of the cells over the next few hours.

RNA abundance is an important indicator of the state of a single cell. As technology advances, scientists have been able to reveal RNA abundance by single-cell RNA sequencing to analyze individual cells. But this method can only capture a "static snapshot" of cellular activity at a certain point in time. This latest study is able to turn a "static snapshot" of cellular activity into a "dynamic short film" that allows scientists to understand the dynamic developmental pathways of cells through an analysis.

This new method is actually a mathematical model. The model uses RNA as a predictor to estimate changes in gene expression over time, which in turn predicts the state of individual cells over the next few hours. By relying on this model, scientists can monitor the decision-making behavior of cells and predict their direction. The test results of the relevant experiments show that the model is extremely accurate and the prediction results are exactly the same as the actual development of the cells.

Monitoring cell decision-making behavior and predicting its future development path will help scientists better analyze cell functions in complex tissues and organs, monitor organ development, and gain insight into how organs can treat specific drugs or treatments at the cellular level. The reaction is important for human disease research. The researchers say that the new method not only helps to reveal the normal development of the brain, but also provides clues for an in-depth understanding of human brain development disorders such as schizophrenia and autism. (Liu Haiying)

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