Scientists have developed a way to use an artificial intelligence system to predict the interaction between genes in human cells. They hope it will speed up the mapping of gene networks and have already used it to identify genes that are potential therapeutic targets for a type of heart disease. And assessing the impact of rocket noise on wildlife.
In this episode:
00:46 An AI that predicts gene interactions
Mapping the network of genes that control cellular processes can be difficult to do when gene-expression data is sparse, such as in rare diseases or those affecting tissues that are hard to clinically sample. To overcome this, a team has developed an artificial intelligence system trained on a large, general dataset, and used it to make predictions about gene interactions in data-limited situations. As a test-case they look at the heart condition cardiomyopathy, and show that the system can identify potential interactions that could represent new therapeutic targets.
Research article: Theodoris et al.
09:08 Research Highlights
Microbes that can break down persistent ‘forever chemicals’, and why intermolecular distances are the key to keeping gummy sweets chewy.
Research Highlight: Microbes take the ‘forever’ out of ‘forever chemicals’
Research Highlight: Better gummy sweets are within reach, thanks to physics
12:06 Briefing Chat
We discuss some highlights from the Nature Briefing. This time, how chronic stress can inflame the gut, and understanding how rocket launches might impact wildlife.
Nature News: Chronic stress can inflame the gut — now scientists know why
Nature News: Does the roar of rocket launches harm wildlife? These scientists seek answers
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