Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

7.2K
The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
7.2K

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

[Research progress in mechanisms of Tripterygium wilfordii and its active ingredients in treatment of inflammatory bowel disease].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2026
Same author

Integrative cross-sample alignment and spatially differential gene analysis for spatial transcriptomics.

Nature communications·2026
Same author

Correlation between tumor mutational burden and CT radiographic features in EGFR exon 19 deletion-mutated lung adenocarcinoma: a diagnostic accuracy study.

Frontiers in medicine·2026
Same author

Multiscale learning of gene network-driven phenotypic dynamics of single cells.

Molecular systems biology·2026
Same author

Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics.

Nature communications·2026
Same author

Robust identification of cell-cell communication heterogeneity in single cells.

bioRxiv : the preprint server for biology·2026

相关实验视频

Updated: Jun 30, 2025

Induction and Analysis of Epithelial to Mesenchymal Transition
10:37

Induction and Analysis of Epithelial to Mesenchymal Transition

Published on: August 27, 2013

35.8K

从单细胞转录组学数据中,表皮层-介质细胞谱系的临界点.

Manuel Barcenas1, Federico Bocci2, Qing Nie2

  • 1Department of Mathematics, University of California Irvine, Irvine, California.

Biophysical journal
|March 20, 2024
PubMed
概括

这项研究引入了一种计算方法,使用单细胞RNA测序来识别细胞命运的临界点. 该方法揭示了细胞过渡过程中不稳定的中间状态和动态的基因调节网络,如上皮质-介质细胞过渡.

更多相关视频

Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells
11:42

Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells

Published on: April 7, 2017

9.4K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K

相关实验视频

Last Updated: Jun 30, 2025

Induction and Analysis of Epithelial to Mesenchymal Transition
10:37

Induction and Analysis of Epithelial to Mesenchymal Transition

Published on: August 27, 2013

35.8K
Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells
11:42

Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells

Published on: April 7, 2017

9.4K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K

科学领域:

  • 计算生物学是一种计算生物学.
  • 分子和细胞生物学分子和细胞生物学
  • 基因组学就是基因组学.

背景情况:

  • 细胞命运决定在发育和疾病中至关重要,但识别过渡状态仍然很困难.
  • 高分辨率单细胞测序为细胞异质性和动态提供了新的见解.
  • 描述细胞承担新的命运的"转折点"是一个关键的挑战.

研究的目的:

  • 开发一种计算方法,从单细胞转录组学数据中推断细胞状态稳定性和基因调控网络 (GRNs).
  • 识别和表征在血统过渡期间不稳定的中间细胞状态.
  • 分析控制细胞命运决策的GRNs中的动态变化.

主要方法:

  • 从单细胞RNA测序数据中利用未拼接和拼接计数.
  • 采用细胞顺序沿着血统轨迹训练一个RNA拼接多变体模型.
  • 通过对模型的雅科比矩阵的光谱分析推断细胞状态稳定性.
  • 重建的GRNs及其沿细胞系的变异.

主要成果:

  • 预测了癌细胞系上皮质-介质细胞过渡 (EMT) 期间的结过渡.
  • 鉴定了一种不稳定的细胞状态,介于上皮和介质细胞表型之间的细胞状态.
  • 在EMT期间观察到GRNs的重新排列,导致中间状态中的更密集,更少的模块化网络.

结论:

  • 开发的计算方法有效地推断了细胞谱系动态和GRN变化.
  • 这些发现提供了对细胞命运决定中的临界点和中间状态的更深入的理解.
  • 这种方法提供了一个灵活的工具,可以将理论驱动的建模与单细胞转录组学数据集成在一起.