这篇文章介绍了CMAP（Cellular Mapping of Attributes with Position），这是一种新颖的方法，旨在通过整合单细胞和空间转录组数据来高精度绘制单个细胞的空间位置。文章指出，传统的单细胞RNA测序技术牺牲了空间信息，而现有的空间转录组技术又难以达到完整的单细胞分辨率。CMAP通过一个分而治之的策略解决了这些限制，包括域划分、最优位点分配和精确位置确定。通过对模拟和真实数据集的广泛评估，CMAP在细胞定位准确性和基因表达模式重建方面表现优于其他方法，并能够揭示细胞在组织微环境中的空间异质性。这项技术为理解复杂的生物系统提供了更深入的见解，例如肿瘤微环境和内皮细胞的器官特异性。References: Ke J, Xu J, Liu J, et al. High-resolution mapping of single cells in spatial context[J]. Nature Communications, 2025, 16(1): 6533.
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Trump $82 Million Bond Spree, Brazil Tariffs 'Too High,' More
16 Nov 2025
Bloomberg News Now
Ex-Fed Gov Resigned After Rules Violations, Trump Buys $82 Mil of Bonds, More
16 Nov 2025
Bloomberg News Now
THIS TRUMP INTERVIEW WAS INSANE!
16 Nov 2025
HasanAbi
Epstein Emails and Trump's Alleged Involvement
15 Nov 2025
Conspiracy Theories Exploring The Unseen
New Epstein Emails Directly Implicate Trump - H3 Show #211
15 Nov 2025
H3 Podcast
Trump Humiliates Himself on FOX as They Call Him Out
15 Nov 2025
IHIP News