paper论文Partly relevant部分相关✓ Verified已核验VC0036
Sun R et al. · Nature · 2026-09-09
Nature 2026: operational perturbation-proteomics-based virtual cell model.Nature 2026：基于扰动蛋白质组的可操作虚拟细胞模型。
DOIPubMed
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