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A hidden “on switch” in human DNA has finally been decoded

Researchers have used AI to uncover the DNA signature of a key genetic “switch” involved in turning genes on. After analyzing about 500,000 DNA sequences, the model identified the initiator in roughly 60% of human genes. The breakthrough could help predict the effects of harmful mutations and eventually contribute to decoding the broader genetic instructions that control gene activity throughout…

A crucial DNA component, known as the initiator, responsible for the precise activation of genes throughout the human body has been decoded through a groundbreaking study. Healthy growth and development rely on the correct activation of tens of thousands of genes at appropriate times and locations. Mismanagement of gene activation can lead to malfunctioning cells, potentially contributing to diseases such as cancer.

Researchers at the University of California San Diego, led by Professor James T. Kadonaga, focused on the initiator, a key DNA element that signifies the beginning of gene expression. By measuring gene expression activity across 500,000 versions of the initiator using high-throughput DNA sequencing, the team trained a machine learning system to identify the unique DNA pattern associated with the initiator.

The AI model successfully decoded this signature and identified that roughly 60% of human genes contain the initiator. This discovery provides strong predictions for the presence or absence of the initiator in human genes, potentially aiding in the anticipation of how mutations affecting the initiator may alter gene activity and contribute to various disorders.

The study's data and AI models may also support the creation of tailored synthetic promoters, sequences that can control gene activity for specific purposes. This research demonstrates the powerful combination of laboratory experiments and artificial intelligence in unraveling the complex information encoded in human DNA. Ultimately, understanding the gene expression code within the six billion bases of DNA in each cell could enable the prediction of gene activity in individuals, bringing us closer to a comprehensive AI model of the human gene expression code.

Written by urgent.news from ScienceDaily's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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