相关实验视频
Updated: Jan 13, 2026

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
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从空间转录组学数据绘制映射异型和调节机制,使用SPLISOSM
Jiayu Su1,2,3, Yiming Qu4, Megan Schertzer5
1Program for Mathematical Genomics, Columbia University, New York, NY, USA. js5756@cumc.columbia.edu.
Nature biotechnology
|January 6, 2026
概括
我们开发了SPLISOSM来绘制空间转录组学数据中的转录多样性. 这种方法揭示了大脑中的成千上万个空间变量的拼接事件,与神经精神疾病和癌症有关.
科学领域:
- 基因组学就是基因组学.
- 神经科学是一个神经科学.
- 计算生物学 计算生物学
背景情况:
- 转录多样性,包括拼接和替代的3'端使用,对于细胞功能至关重要,但其空间调节尚不清楚.
- 空间转录组学提供了一种在组织环境中研究基因表达的方法.
研究的目的:
- 开发一种方法来检测空间转录学数据中的异形分辨率模式.
- 在正常和瘤条件下分析老鼠和人类大脑的空间转录多样性.
主要方法:
- 介绍了SPLISOSM (空间异形统计建模),一种使用非参数内核进行多变量测试的方法.
- 将SPLISOSM应用于从小鼠和人类大脑样本 (包括质母细胞瘤) 的空间转录学数据.
主要成果:
- 在小鼠大脑中识别了超过1000个空间变量转录多样性事件,丰富了与神经精神疾病相关的突触信号通路.
- 发现了老鼠和人类前额叶皮层之间的保存空间拼接模式.
- 揭示了人类质母细胞瘤中普遍存在的转录多样性,与抗原呈现和粘附基因以及特定的微环境有关.
结论:
- SPLISOSM能够对空间转录多样性的强大统计分析,即使数据稀少.
- 空间转录多样性在大脑功能,神经精神疾病和癌症中发挥着重要作用.
- 这项研究为健康和疾病中的大脑提供了全面的空间拼接分析.
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