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OpenAI's GPT-Rosalind Flags TSC2-Linked Signal in Mouse Brain Data for Tuberous Sclerosis

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OpenAI reports that its GPT-Rosalind platform identified a potentially significant difference between disrupting the Tsc1 and Tsc2 genes in a large mouse-brain dataset. In cerebellar neurons, Tsc2 disruption altered the activity of dozens of genes tied to neuronal communication, while Tsc1 disruption produced only a modest change. The work was a collaboration among OpenAI, PerturbAI and Scripps Research, using thousands of AI agents to analyze a whole-brain CRISPR atlas of millions of cells. The researchers stress that the result is a research lead, not evidence of a new treatment or a confirmed explanation for differing disease severity in tuberous sclerosis. The analysis also surfaced other leads, including a possible link between cholesterol regulation and neurodegeneration, which specialists would need to examine further.

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