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

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

5.4K
5.4K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.3K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
16.3K
DNA Microarrays02:34

DNA Microarrays

20.7K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
20.7K

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

Context-dependent regulation of IgH V(D)J recombination by cohesin-STAG1 and cohesin-STAG2.

Nature communications·2026
Same author

Spatially informed reference-free cell-type deconvolution for spatial transcriptomics with SpatialCD.

Genome research·2026
Same author

Stromal and Neuronal Sources of Slit2/3 Ligands in the Adult Pancreas Exhibit Distinct Expression Patterns Independent of Robo2 Receptor Expression in the Islet.

bioRxiv : the preprint server for biology·2026
Same author

Nonlinear kernel-based high-dimensional inference for set-based genetic association studies.

Briefings in bioinformatics·2026
Same author

CEDR: robust consensus cancer subtyping with multi-omics data via ensemble dimensionality reduction.

Briefings in bioinformatics·2026
Same author

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

相关实验视频

Updated: Jan 17, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

661

空间:空间变量基因聚类调整细胞类型效应,以改善空间域检测.

Sikta Das Adhikari1, Nina G Steele2,3,4, Brian Theisen5

  • 1Department of Statistics and Probability, Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, 48824, United States.

Nucleic acids research
|September 23, 2025
PubMed
概括

我们开发了SPACE,这是空间转录学 (ST) 分析的新框架. 它对空间变量基因 (SVGs) 进行分类,以改善空间域的检测和理解组织架构.

更多相关视频

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.4K
Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
09:45

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

3.3K

相关实验视频

Last Updated: Jan 17, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

661
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.4K
Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
09:45

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

3.3K

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 空间转录学 (ST) 通过揭示组织环境中的基因表达来推进生物理解.
  • 识别空间变量基因 (SVGs) 是空间域检测的关键,反映组织架构和生物过程.
  • 目前嵌入顶级SVG的方法可以混合信号和模糊生物结构.

研究的目的:

  • 提出SPACE,这是基于空间模式对SVG进行分类的新框架.
  • 通过分组SVG和减少信号混来增强空间域检测.
  • 提供一种不需要先前了解基因数或细胞类型的方法.

主要方法:

  • SPACE通过分析它们的空间表达模式来对SVG进行分类.
  • 该框架调整了共享细胞类型的混效应.
  • 它将SVG组合在一起,以保存独特的生物模式并减少信号混合.

主要成果:

  • SPACE有效地对SVG进行分类,而不需要先前关于基因群或细胞类型的信息.
  • 该方法改善了ST数据中各种空间结构的检测.
  • 使用模拟和真实数据的分析证实了SPACE的效率.

结论:

  • SPACE为空间转录学分析提供了一种高效和有前途的方法.
  • 该框架通过准确的分类来增强来自SVG的生物见解.
  • SPACE 提高了空间域检测和组织组织组织的理解.