213: BRAIN-MAGNET: Functional genomics atlas for non-coding variants

Deng R et al. - BRAIN-MAGNET couples a ChIP-STARR-seq atlas of 148,198 neural regulatory elements with a validated convolutional neural network to predict enhancer activity and prioritize disease-relevant non-coding variants. Key terms: enhancers, neural stem cells, convolutional neural network, non-coding variants, functional genomics. Study Highlights:The authors generated an activity-ranked functional genomics atlas of 148,198 non-coding regulatory elements in human neural stem cells. Comparative ChIP-STARR-seq revealed many elements are epigenetically primed in embryonic stem cells for later neural activity. BRAIN-MAGNET, a convolutional neural network trained on the atlas, predicts enhancer activity from DNA sequence and computes nucleotide-level contribution scores to identify functional motifs. The model outperformed other prioritization scores at tested loci and enabled prioritization and functional validation of both common GWAS SNPs and rare variants, including a putative RAB7A enhanceropathy. Conclusion:The NCRE atlas and BRAIN-MAGNET provide a functionally validated resource to interpret non-coding genetic variation relevant to neurodevelopment and neurological disease Music:Enjoy the music based on this article at the end of the episode. First author:Deng R DOI:10.1016/j.cell.2025.10.029 Reference:Deng R, Perenthaler E, Nikoncuk A, Yousefi S, Lanko K, Schot R, Maresca M, Medico-Salsench E, Sanderson LE, Parker MJ, van Ijcken WFJ, Park J, Sturm M, Haack TB, Roshchupkin GV, Mulugeta E, Barakat TS. BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants. Cell. 2026 Jan 22;189:1–20. https://doi.org/10.1016/j.cell.2025.10.029 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/ Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 Official website https://basebybase.com On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/brain-magnet-ncre-atlas ️ Episode:213: Episode 213: BRAIN-MAGNET: a functional atlas for non-coding variants ️ Season:1 Article title:BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants Journal:Cell QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-29. QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific content: NSC-ChIP-STARR-seq atlas, Brain-Magnet model with nucleotide-level contribution scores, ESC–NSC enhancer priming, motif and TE enrichments, motif deletions/validation, RAB7A enhanceropathy, GWAS/rare-disease variant prioritization, and limitations of episomal MPRA.- transcript topics: NSC-ChIP-STARR-seq atlas of non-coding regulatory elements; Brain-Magnet CNN and nucleotide-level contribution scores; Primed enhancers and ESC-to-NSC differentiation; Motif and transposable element enrichment (YY1, TP53/p53, MER61, LTR10); Functional validation of high cb-score motifs (30 bp deletions, point mutations); RAB7A enhanceropathy and in vivo validation QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0 Metadata Audited:- article_doi- article_title- article_journal- license Factual Items Audited:- ChIP-STARR-seq NSCs produced an atlas of... Chapters (00:00:00) - Finding the missing DNA in the brain(00:05:24) - Brain Magnet: The regulatory map of the brain(00:07:40) - Brain Magnet: The functional atlas(00:10:46) - Brain Magnet for SNPs and the neuropsychiatric disorders(00:12:06) - Brain Magnet for rare neurogenetic disorders(00:16:42) - Neuroscience: Hidden Codes in the Silent Frame