Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

The 2026 global roadmap for textile-integrated wearable technologies in health.

Physiological measurement·2026

Same author

Shotgun metagenomic profiling reveals ecological and functional alterations of the oral microbiome in craniosynostosis.

Journal of oral microbiology·2026

Same author

Interpretable graph-based models on multimodal biomedical data integration: a technical review and benchmarking.

Nature communications·2026

Same author

From tooth to gut: Proteomic evidence of systemic dysregulation in fluorosis.

Ecotoxicology and environmental safety·2026

Same author

Explainable Artificial Intelligence in Dentistry: A Systematic Review of Its Trust and Translation.

International dental journal·2026

Same author

Interpretable modality-aware mapping of gene regulation in single-cell multiomics with scMAGCA.

Nature communications·2026

Search research articles

相关实验视频

Updated: May 10, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

在使用scCAFE的单细胞Hi-C数据中揭示了多层次架构特征.

Fuzhou Wang¹, Jiecong Lin^2,3, Hamid Alinejad-Rokny⁴

¹Department of Computer Science, City University of Hong Kong, Kowloon Tong, 000000, Hong Kong SAR.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

|April 24, 2025

概括

新的深度学习工具scCAFE分析单细胞Hi-C数据,以识别3D基因组结构,如循环和域. 它准确地绘制了这些特征,揭示了细胞类型特定的模式,用于潜在的细胞身份注释.

关键词:

顶级域名 (TLD) 是指顶级域名.染色质环节是染色质的环节.隔间隔间隔间隔间一个单细胞的Hi-C.

更多相关视频

Capturing Chromosome Conformation Across Length Scales

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

相关实验视频

Last Updated: May 10, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Capturing Chromosome Conformation Across Length Scales

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

科学领域:

基因组学就是基因组学.
计算生物学计算生物学
表观遗传学在表观遗传学中,表观遗传学是指表观遗传学.

背景情况:

单细胞Hi-C (scHi-C) 揭示了3D基因组组织异质性.
scHi-C数据稀疏且杂,对建筑特征的计算分析具有挑战性.
精确识别染色体循环,TAD类域 (TLD) 和区块至关重要.

研究的目的:

介绍scCAFE,这是一个深度学习模型,用于在单个细胞中检测多个规模的架构特征.
提供一个统一的框架,用于在单细胞水平上注释染色体循环,TLD和分区.
评估scCAFE与现有方法的性能及其对特征3D基因组异质性的实用性.

主要方法:

开发了scCAFE,这是一个使用单细胞Hi-C数据的深度学习模型.
应用了scCAFE用于同时注释色氨酸循环,TAD类域和组件.
评估模型性能与已建立的 scHi-C 循环调用技术相比.

主要成果:

在从scHi-C数据中调用循环时,scCAFE的性能优于以前的方法.
该模型准确地预测了具有生物一致性的TLD和组件.
单细胞注释显示了不同细胞类型的结构特征的异质性.
识别了与细胞身份相关的标记循环,证明了细胞类型注释的潜力.

结论:

scCAFE是分析单细胞3D基因组架构的有效工具.
该模型仅使用3D基因组特征来实现精确的细胞类型注释.
突出了3D基因组数据在没有额外的omics数据的情况下用于细胞身份确定的潜力.