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

Cell-matrix's Response to Mechanical Forces

Cell-matrix's Response to Mechanical Forces

In animal cells, the extracellular matrix allows cells within tissues to withstand external stresses and transmits signals from the outside of the cell to the inside. The extracellular matrix is extensive, and its composition varies between different types of tissues. For example, the reticular fibers and ground substance make up the ECM in loose connective tissue, while collagen and bone minerals make up the ECM of bone tissue.
Anchoring junctions mechanically attach a cell to the...

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

A multi-omic atlas in the African turquoise killifish reveals increased glucocorticoid signaling as a hallmark of brain aging.

bioRxiv : the preprint server for biology·2026

Same author

Inter-individual variation of cellular and gene-expression properties of the human striatum.

bioRxiv : the preprint server for biology·2026

Same author

The DNA virome varies with human genes and environments.

Nature·2026

Same author

Mesoscale molecular architecture of the human striatum across cell types and lifespan.

bioRxiv : the preprint server for biology·2026

Same author

Human microglia in brain assembloids display region-specific diversity and respond to hyperexcitable neurons carrying <i>SCN2A</i> mutation.

Science advances·2026

Same author

A supervised ontology-aware cell annotation method for single-cell transcriptomic data.

bioRxiv : the preprint server for biology·2026

Search research articles

相关实验视频

Updated: May 7, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

使用CellCap建模细胞状态和扰乱反应之间的可解释对应.

Yang Xu¹, Stephen Fleming¹, Matthew Tegtmeyer^2,3

¹Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA.

bioRxiv : the preprint server for biology

|April 1, 2024

概括

一个新的深度生成模型CellCap分析单细胞扰动数据,以揭示细胞状态特定的反应. 它捕捉了异构的细胞行为,提供了对分子机制和潜在治疗点的见解.

科学领域:

基因组学就是基因组学.
计算生物学计算生物学

更多相关视频

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

相关实验视频

Last Updated: May 7, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

系统生物学系统生物学

背景情况:

单细胞转录组学与扰动相结合,揭示了细胞状态特定的反应,这对于理解分子机制至关重要.
当前的计算方法往往忽视了反应异质性,而是专注于平均细胞反应.
识别特定于细胞状态的反应是发现新型调节途径和治疗点的关键.

结论:

在干扰实验期间,CellCap为细胞行为提供了有价值的见解.
该模型捕捉异质反应的能力有助于理解复杂的生物系统.
CellCap提供了一种强大的工具,用于发现新的调节途径和潜在的治疗点.