组装:一个计算框架,通过空间社区在组织微环境中识别空间解析的功能丰富梯度
bioRxiv : the preprint server for biology
|July 14, 2025
概括
我们开发了MONTAGE,这是一个计算框架,用于分析瘤中的细胞空间社区 (SC). MONTAGE揭示了SC如何随着生物渐变而变化,并确定了SC在头癌中具有临床意义.
科学领域:
- 计算生物学是一种计算生物学.
- 癌症研究 癌症研究
- 空间转录组学 空间转录组学
背景情况:
- 单细胞空间-奥米克斯推进了瘤微环境的理解.
- 目前的方法对细胞组织的功能和临床相关性提供了有限的洞察力.
研究的目的:
- 介绍MONTAGE,这是一个计算框架,用于重建,功能分析和识别临床相关的细胞空间社区 (SC).
- 能够更深入地了解瘤异质性及其临床影响.
主要方法:
- MONTAGE集成单细胞转录组学数据,生成SCs的基因签名矩阵.
- 重建组织地图,反映沿空间梯度沿着SC的连续组成变化.
- 应用MONTAGE签名矩阵来解批量和点位空间转录组数据.
- 集成临床元数据来评估SC的临床相关性.
主要成果:
- MONTAGE揭示了与特定细胞类型 (例如,恶性细胞,粒细胞,巨细胞,纤维细胞) 丰富的独特的SCs.
- 识别了沿着上皮质-介质细胞过渡梯度的SC组成的变化.
- 在头癌中发现的SCs的临床预后意义已被证明.
结论:
- MONTAGE为分析细胞空间组织及其功能和临床相关性提供了一个新的框架.
- 这种方法增强了空间转录学在癌症研究中的实用性.
- MONTAGE促进了基于细胞社区的新生物标志物和治疗点的发现.
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