category
Cell Systems
date
Feb 4, 2026
slug
status
Published
summary
提出FGOT方法整合单细胞/空间转录组和表观组数据,实现异质性细胞状态捕捉、转录调控关系解析、顺式调控元件识别,提升数据整合方法的可解释性
tags
单细胞测序
空间组学
type
Post

📄 原文题目

Interpretable data integration for single-cell and spatial multi-omics

🔗 原文链接

💡 AI 核心解读

提出FGOT方法整合单细胞/空间转录组和表观组数据,实现异质性细胞状态捕捉、转录调控关系解析、顺式调控元件识别,提升数据整合方法的可解释性

📝 英文原版摘要

Yang et al. propose FGOT, a computational approach that integrates single-cell or spatial transcriptomic and epigenomic data to elucidate transcriptional regulatory mechanisms. FGOT captures heterogenous cell states and transcriptional regulatory links, enhances the interpretability of existing integration methods, and facilitates the identification of functional cis-regulatory elements at single-cell/spot resolution.
SF3B1抑制剂普拉迪烯醇B显著抑制DNA损伤信号和修复并逆转非小细胞肺癌对铂盐的耐药性利用双CRISPR引导的3′转剪接重写内源性人类转录本
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