preprint预印本Partly relevant部分相关✓ Verified已核验VC0037
Sun R, Qian L, Li Y, Cheng H, Xue Z, Zhang X, Tan L, Zhan Y, Hu W, Xiao Q, Liu Z, Zhang G, Weinan E, Zhou P, Wen H, Zhu Y, Guo T. · bioRxiv · 2025-02-10
Preprint of the perturbation-proteomics foundation model for virtual cells.上述扰动蛋白组虚拟细胞模型预印本。
DOI
preprint预印本Brain tumor脑肿瘤✓ Verified已核验VC0071
Mayfield JD. · bioRxiv · 2026-04-23
Proteome-calibrated mechanistic digital twin of the GBM astrocyte (bioRxiv 2026).蛋白质组校准的GBM星形细胞机制性数字孪生（预印本）。
DOI
conference会议✓ Verified已核验VC0125
Keystone Symposia · Banff, Canada (to Feb 18) · 2027-02-15
Keystone 2027 single-cell/spatial/perturbation meeting.Keystone 2027单细胞会议。
Source原文
preprint预印本✓ Verified已核验VC0139
Metzner E, Guruvayurappan K, Southard KM, Ardy RC, Dey KK, Norman TM. · bioRxiv · 2026-10-12
Norman/Dey labs (MSKCC): CRISPRa Multiome Perturb-seq of 119 TFs + dual-guide Perturb-seq of 1,225 TF pairs in RPE-1; chromatin priming predicts emergent states; Mosaic (Transformer) predicts TF-pair interaction residuals (r=0.484) and nominated a validated triple-TF combination.Norman/Dey 实验室（MSKCC）：在 RPE-1 中对 119 个 TF 做 CRISPRa Multiome Perturb-seq、对 1,225 个 TF 对做双向导 Perturb-seq；染色质预激活可预测新兴状态；Mosaic（Transformer）预测 TF 对相互作用残差（r=0.484），并提名经实验验证的三 TF 组合。
DOI
paper论文Partly relevant部分相关✓ Verified已核验VC0019
Adduri AK et al. · Cell · 2026-08-31
State (Arc Institute): state-embedding + transition model across 70 contexts; Cell 2026.Arc的State模型：跨70种细胞情境预测扰动反应（Cell 2026）。
DOIPubMed
preprint预印本✓ Verified已核验VC0138
Yu et al. · bioRxiv · 2026-08-12
PerturbLDM: Tahoe-100M-pretrained latent diffusion for conditional sc response generation across drug/dose/cell-line.PerturbLDM：在Tahoe-100M上预训练的条件潜扩散模型，生成药物/剂量/细胞系扰动的单细胞响应。
DOI