{"scope":{"layer":"general","tissue_scope":"unknown","species":"unknown","system":"unknown","evidence_level":"news_lead","importance":"","importance_reason":""},"id":"VC0158","type":"news","title":"Tahoe Therapeutics, Arc Institute, and Biohub Partner to Generate the Largest Perturbation Dataset for Virtual Cell Models","authors_or_org":"Tahoe Therapeutics; Arc Institute; Biohub","date":"2026-01-12","year":"2026","venue":"Tahoe news (company announcement)","url":"https://www.tahoelabs.ai/news/tahoe-arc-and-biohub-partnership","doi":"","pmid":"","brain_tumor_focus":"no","tags":["news","dataset","perturbation","drug-response","tahoe","arc"],"tag_slugs":["news","dataset","perturbation","drug-response","tahoe","arc"],"tag_labels":["News","Dataset","Perturbation","Drug response","Tahoe","Arc Institute"],"tag_labels_zh":["新闻","数据集","扰动","药物反应","Tahoe","Arc 研究所"],"unmapped_tags":[],"one_line_summary_en":"Company announcement, not independent evidence; older item added as a gap fill: Tahoe Therapeutics, Arc Institute and Biohub announce a jointly curated dataset for which Tahoe will generate more than 120 million single-cell data points across 225,000 drug–patient interactions with its Mosaic platform, described as more than 4x as perturbation-rich as Tahoe-100M; data are to be shared among the three first and ultimately released open source (no release date given).","one_line_summary_zh":"公司公告，非独立证据；较早条目，作补缺收录：Tahoe Therapeutics、Arc 研究所与 Biohub 宣布联合策划数据集，由 Tahoe 用其 Mosaic 平台生成逾 1.2 亿个单细胞数据点、覆盖 22.5 万个“药物–患者”相互作用，称扰动丰富度为 Tahoe-100M 的 4 倍以上；数据先在三方内部共享，最终开源（未给出发布日期）。","verified":"yes","verification_source":"Tahoe news page fetched 2026-10-20 (title, release date 2026-01-12, 120M+ cells, 225,000 drug-patient interactions, >4x Tahoe-100M, open-source plan); claims are the organisations' own","page_url":"https://gliostate.com/library/VC0158/","api_url":"https://gliostate.com/api/items/VC0158.json","sameAs":["https://www.tahoelabs.ai/news/tahoe-arc-and-biohub-partnership"],"is_preprint":false,"facets":{"type":"https://gliostate.com/library/type/news/","year":"https://gliostate.com/library/year/2026/","tags":["https://gliostate.com/library/tag/news/","https://gliostate.com/library/tag/dataset/","https://gliostate.com/library/tag/perturbation/","https://gliostate.com/library/tag/drug-response/","https://gliostate.com/library/tag/tahoe/","https://gliostate.com/library/tag/arc/"]},"cited_by":[{"id":"validation-tahoe-glioma-holdout","type":"validation","title_en":"Glioma is 3.6% of Tahoe-100M: predicting held-out glioma lines rests almost entirely on the drug response shared by all lines","title_zh":"Tahoe-100M 里的胶质瘤只有 3.6%：预测留出的胶质瘤细胞系，几乎全靠所有细胞系共有的药物反应","url":"https://gliostate.com/validation/tahoe-glioma-holdout/","api_url":"https://gliostate.com/api/topics/validation-tahoe-glioma-holdout.json"}],"related":[{"id":"VC0042","title":"Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.","shared_tags":["drug-response","dataset","tahoe"],"page_url":"https://gliostate.com/library/VC0042/","api_url":"https://gliostate.com/api/items/VC0042.json"},{"id":"VC0041","title":"Tahoe-100M : A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling","shared_tags":["drug-response","dataset","tahoe"],"page_url":"https://gliostate.com/library/VC0041/","api_url":"https://gliostate.com/api/items/VC0041.json"},{"id":"VC0138","title":"PerturbLDM: conditional latent diffusion for modelling single-cell perturbation responses","shared_tags":["tahoe","drug-response","perturbation"],"page_url":"https://gliostate.com/library/VC0138/","api_url":"https://gliostate.com/api/items/VC0138.json"},{"id":"VC0157","title":"International, cross-sector collaboration commits nearly $2 billion to build foundational data for AI models to predict and treat disease","shared_tags":["news","dataset"],"page_url":"https://gliostate.com/library/VC0157/","api_url":"https://gliostate.com/api/items/VC0157.json"},{"id":"VC0143","title":"Generating high-quality Perturb-seq data for the 2026 Virtual Cell Challenge","shared_tags":["arc","dataset"],"page_url":"https://gliostate.com/library/VC0143/","api_url":"https://gliostate.com/api/items/VC0143.json"},{"id":"VC0148","title":"AI-Driven Precision Oncology Startup aiPTO Unveils #1-Ranked DELPHAI Model, Bridging the \"Scale Gap\" From Virtual Cells to Virtual Tumors","shared_tags":["news","perturbation"],"page_url":"https://gliostate.com/library/VC0148/","api_url":"https://gliostate.com/api/items/VC0148.json"}]}