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

Ecological Niches

Ecological Niches

All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.

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 CARM1 epigenetic enzyme inhibits cross-presenting dendritic cell function in cancer immunity.

Science (New York, N.Y.)·2026

Same author

Optimal gene panel selection for targeted spatial transcriptomics experiments.

Nucleic acids research·2026

Same author

A Dynamic Virtual Channel Approach to Enhance Retinal Prosthetic Precision.

Biomimetics (Basel, Switzerland)·2026

Same author

Optimal Gene Panel Selection for Targeted Spatial Transcriptomics Experiments.

bioRxiv : the preprint server for biology·2025

Same author

SpaDiff: Denoising for Sequence-based Spatial Transcriptomics via Diffusion Process.

bioRxiv : the preprint server for biology·2025

Same author

sCCIgen: a high-fidelity spatially resolved transcriptomics data simulator for cell-cell interaction studies.

Genome biology·2025

Search research articles

相关实验视频

Updated: Jun 27, 2025

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Published on: June 10, 2014

通过利基轨迹分析来描述组织微环境中的空间连续变化.

Wen Wang¹, Shiwei Zheng¹, Sujung Crystal Shin¹

¹Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

bioRxiv : the preprint server for biology

|May 7, 2024

概括

我们开发了ONTraC,这是一个新的计算工具,用于分析组织微环境中的空间变化. ONTraC重建了利基轨迹,为了解组织组织和功能提供了一种强大的新方法.

科学领域:

计算生物学是一种计算生物学.
空间转录组学空间转录组学
一个单细胞分析.

背景情况:

技术进步使得组织空间组织的单细胞分辨率绘制成为可能.
现有的计算方法不足以分析组织微环境中的连续空间变化.

研究的目的:

引入ONTraC,这是一个构建利基轨迹的新策略.
为分析组织微环境中的空间变化提供计算框架.

主要方法:

使用基于图形神经网络的建模框架.
开发了用于重建空间轨迹的ONTraC.
将ONTraC与现有的轨迹重建方法进行了比较.

主要成果:

在基准分析中,与现有方法相比,ONTraC表现优越.
将ONTraC应用于空间转录学数据集,成功地回顾了解剖结构.
在胚胎发育过程中鉴定了基因调节网络和细胞-细胞相互作用的组织微环境依赖的变化.

结论:

ONTraC是一种有效且广泛适用的工具,用于表征组织微环境.

更多相关视频

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

相关实验视频

Last Updated: Jun 27, 2025

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

Published on: June 10, 2014

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

该策略使组织内结构和功能组织的系统分析成为可能.

促进发现微环境驱动的生物过程.