AI Decodes "Initiator" DNA Sequences in 60% of Human Genes
Researchers at UC San Diego utilized high-throughput DNA sequencing and machine learning to decode the "Initiator" (Inr) DNA sequence. By training an AI model on approximately 500,000 sequence variants, they discovered that this sequence exists in about 60% of human genes. Understanding the Initiator sequence is crucial because it regulates when, where, and to what extent genes are expressed, which is directly linked to cell function and diseases like cancer. This breakthrough could lead to better prediction of disease-related mutations and the design of synthetic promoters for targeted gene therapies. The study, led by James T. Kadonaga and Torrey Rhyne-Carrigg, also identified a new type of Initiator associated with the TATA box sequence. The AI model represents a significant step forward in predicting the presence of Initiators and analyzing their relationships with other core promoter elements.
## BACKGROUND
In genetics, a promoter is a DNA region where proteins bind to initiate the transcription of a gene into RNA. The initiator element (Inr) is a core promoter sequence overlapping the transcription start site that plays a key role in recruiting RNA polymerase II to start transcription.