{"id":"VC0143","type":"news","title":"Generating high-quality Perturb-seq data for the 2026 Virtual Cell Challenge","authors_or_org":"Arc Institute","date":"2026-10-01","year":"2026","venue":"Arc news","url":"https://arcinstitute.org/news/behind-the-data-virtual-cell-challenge-2026","doi":"","pmid":"","brain_tumor_focus":"no","tags":["challenge","Arc","benchmark","zero-shot","Perturb-seq","CRISPRi","10x-Genomics","dataset"],"tag_slugs":["challenge","arc","benchmark","zero-shot","perturb-seq","dataset"],"tag_labels":["Challenge","Arc Institute","Benchmark & validation","Zero-shot","Perturb-seq","Dataset"],"tag_labels_zh":["挑战赛","Arc 研究所","基准评测与验证","零样本","Perturb-seq 扰动测序","数据集"],"unmapped_tags":["CRISPRi","10x-Genomics"],"one_line_summary_en":"Arc's description of how the 2026 Challenge dataset was generated (organisation statement, not independent evaluation): CRISPRi Perturb-seq in six human cell lines, 10x Flex profiling, >10,000 perturbations and 100 non-targeting guides per line, curated to perturbations with >=80% median on-target knockdown and subsampled to 400 cells per perturbation; zero-shot task (only unperturbed cells are given); no model results reported.","one_line_summary_zh":"Arc 对 2026 挑战赛数据生成方式的说明（机构自述，非独立评估）：在 6 个人源细胞系中进行 CRISPRi Perturb-seq，采用 10x Flex 检测；每个细胞系分析 >10,000 个扰动及 100 条非靶向 sgRNA，筛选中位靶基因表达下降 ≥80% 的扰动并下采样至每个扰动 400 个细胞；任务为零样本（仅提供未扰动细胞）；未报告任何模型结果。","verified":"yes","verification_source":"Arc Institute news page (publisher; fetched 2026-10-16: title, date 2026-10-01, six cell lines, CRISPRi, 10x Flex, 400 cells/perturbation, >=80% median knockdown, NTC and cell counts)","page_url":"https://gliostate.com/library/VC0143/","api_url":"https://gliostate.com/api/items/VC0143.json","sameAs":["https://arcinstitute.org/news/behind-the-data-virtual-cell-challenge-2026"],"is_preprint":false,"facets":{"type":"https://gliostate.com/library/type/news/","year":"https://gliostate.com/library/year/2026/","tags":["https://gliostate.com/library/tag/challenge/","https://gliostate.com/library/tag/arc/","https://gliostate.com/library/tag/benchmark/","https://gliostate.com/library/tag/zero-shot/","https://gliostate.com/library/tag/perturb-seq/","https://gliostate.com/library/tag/dataset/"]},"cited_by":[{"id":"validation-virtual-cell-challenge","type":"validation","title_en":"Virtual Cell Challenge metrics and baselines: what the scores reward, and where the evidence conflicts","title_zh":"虚拟细胞挑战赛的指标与基线：评分奖励什么，证据在哪里相互矛盾","url":"https://gliostate.com/validation/virtual-cell-challenge/","api_url":"https://gliostate.com/api/topics/validation-virtual-cell-challenge.json"}],"related":[{"id":"VC0058","title":"Virtual Cell Challenge 2026: Benchmarking zero-shot generalization across cellular contexts.","shared_tags":["benchmark","zero-shot","challenge"],"page_url":"https://gliostate.com/library/VC0058/","api_url":"https://gliostate.com/api/items/VC0058.json"},{"id":"VC0107","title":"Virtual Cell Challenge 2026 (zero-shot, 6 unseen cell lines)","shared_tags":["challenge","zero-shot"],"page_url":"https://gliostate.com/library/VC0107/","api_url":"https://gliostate.com/api/items/VC0107.json"},{"id":"VC0002","title":"Virtual Cell Challenge: Toward a Turing test for the virtual cell.","shared_tags":["benchmark","challenge","arc"],"page_url":"https://gliostate.com/library/VC0002/","api_url":"https://gliostate.com/api/items/VC0002.json"},{"id":"VC0045","title":"X-Atlas/Orion: Genome-wide Perturb-seq Datasets via a Scalable Fix-Cryopreserve Platform for Training Dose-Dependent Biological Foundation Models","shared_tags":["perturb-seq","dataset"],"page_url":"https://gliostate.com/library/VC0045/","api_url":"https://gliostate.com/api/items/VC0045.json"},{"id":"VC0040","title":"Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq.","shared_tags":["perturb-seq","dataset"],"page_url":"https://gliostate.com/library/VC0040/","api_url":"https://gliostate.com/api/items/VC0040.json"},{"id":"VC0050","title":"Zero-shot evaluation reveals limitations of single-cell foundation models.","shared_tags":["benchmark","zero-shot"],"page_url":"https://gliostate.com/library/VC0050/","api_url":"https://gliostate.com/api/items/VC0050.json"}]}