{"version":1,"type":"story","url":"https://digestai.news/story/researchers-introduce-seal-ai-model-for-gene-regulation-in-developing","json":"https://digestai.news/story/researchers-introduce-seal-ai-model-for-gene-regulation-in-developing.json","markdown":"https://digestai.news/story/researchers-introduce-seal-ai-model-for-gene-regulation-in-developing.md","slug":"researchers-introduce-seal-ai-model-for-gene-regulation-in-developing","headline":"Researchers introduce Seal AI model for gene regulation in developing human brain","summary":"A team led by Y. Hao and O. G. Troyanskaya published Seal, a transfer-learning framework that predicts gene expression and variant effects across 26 brain regions, 30 cell types, and 7 developmental stages.\n\nSeal links genetic variants to transcriptional regulators in a spatiotemporal context. Applied to GWAS data, it identifies shared and distinct regulatory architectures across six neuropsychiatric conditions. In the Simons Simplex Collection autism cohort, Seal finds a significant burden of de novo regulatory variants in transient fetal excitatory neurons, revealing cell-type- and stage-specific effects. Benchmarks show transfer learning significantly lowers mean squared error (P = 0.01) and improves predictions for neurodevelopmental genes (P = 1.1×10⁻¹⁸). The authors declare no competing interests; funding came from the Simons Foundation and Flatiron Institute.","keyPoints":["Seal models gene expression across 26 regions, 30 cell types, 7 developmental stages","Finds de novo regulatory variant burden in fetal excitatory neurons in autism cohort","Model code and data publicly available on GitHub and Zenodo"],"whyItMatters":"Seal provides a spatiotemporal framework linking genetic variation to brain development and neuropsychiatric disease mechanisms, with publicly accessible code and data for further research.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["Flatiron Institute","Simons Foundation","Springer Nature","Zenodo","GitHub"],"models":["Seal","Enformer","AlphaGenome"],"people":["C.Y. Park","C.L. Theesfeld","O.G. Troyanskaya"]},"firstPublishedAt":"2026-10-15T00:00:00Z","updatedAt":"2026-10-15T00:00:00Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"Nature Machine Learning","title":"Spatiotemporal AI-based modeling of gene regulation and variant effects in the developing human brain using Seal","url":"https://nature.com/articles/s41593-026-02470-2","publishedAt":"2026-10-15T00:00:00Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Researchers introduce Seal AI model for gene regulation in developing human brain\", 15 October 2026, https://digestai.news/story/researchers-introduce-seal-ai-model-for-gene-regulation-in-developing","publisher":"Digest AI","title":"Researchers introduce Seal AI model for gene regulation in developing human brain","datePublished":"2026-10-15T00:00:00Z","url":"https://digestai.news/story/researchers-introduce-seal-ai-model-for-gene-regulation-in-developing"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}