Decoding immune signaling landscapes: what AlphaGenome reveals

In a recent study published in Nature, Avsec et al. 1 introduce AlphaGenome as a unified, multimodal framework that can predict thousands of functional genomic tracks and variant effects up to single-base-pair resolution from 1 Mb of DNA sequence. 1 In the context of immune signaling, this is the first model capable of predicting immune regulation and immune-relevant splicing outcomes from DNA sequences alone by dissecting how non-coding variants shape receptor expression, transcription factor activation, enhancer-promoter communication, splicing of immune regulators, and chromatin accessibility in stimulus-responsive pathways.