这篇文章介绍了 MintFlow，这是一种生成式人工智能算法，专门用于空间转录组学数据，以解析组织微环境如何影响细胞状态。MintFlow 的核心优势在于它能够将细胞基因表达分解为内在变异和微环境诱导的组成部分，从而实现对组织扰动的虚拟模拟。研究人员将 MintFlow 应用于特应性皮炎、黑色素瘤和肾癌三种人类疾病，成功识别出疾病特异性的空间细胞状态和基因程序，例如在肾癌中发现了免疫抑制性的三级淋巴结构 (TLS) 边界 T 细胞。通过体外模拟（in silico perturbation），该模型预测了调节性 T 细胞（Tregs）在特应性皮炎中的治疗潜力，并指出靶向 TLS 巨噬细胞可能改善肾癌的预后，展示了其在加速转化假设生成和指导治疗策略方面的潜力。References: Akbarnejad A, Steele L, Jafree D J, et al. Mapping and reprogramming human tissue microenvironments with MintFlow[J]. bioRxiv, 2025: 2025.06. 24.661094.
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