EPISODE · Jan 7, 2026 · 19 MIN
382-厚组织三维空间转录组与翻译组测序技术
from 聊聊Sci
这项研究介绍了一套名为 Deep-STARmap 和 Deep-RIBOmap 的 3D 原位分析平台，旨在解决传统薄切片在组织变形、人工劳动和转录组数据不完整方面的局限。该技术利用 水凝胶重嵌入 和 光化学交联 等创新手段，实现了对厚组织样本中单细胞转录组和翻译组的高精度成像。在应用中，研究人员通过对 小鼠大脑 的分析，成功揭示了神经元分子亚型与其树突形态之间的紧密联系。此外，该平台还被应用于分析 人类皮肤癌 样本，能够精准区分肿瘤细胞与免疫细胞，并量化三维空间内的细胞邻近关系与相互作用。这种方法不仅为 三维空间组学 提供了可扩展的框架，也为深入理解复杂疾病的组织微环境开辟了新路径。References: Sui X, Lo J A, Luo S, et al. Scalable spatial single-cell transcriptomics and translatomics in 3D thick tissue blocks[J]. Nature Methods, 2025: 1-11.前往小宇宙评论区与主播互动
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382-厚组织三维空间转录组与翻译组测序技术
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