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

4.7K
4.7K
RNA-seq03:21

RNA-seq

10.0K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.0K
Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

5.7K
Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
5.7K

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

Interpretable spatial multi-omics data integration and dimensionality reduction with SpaMV.

Nature communications·2026
Same author

AGR2-high cells drive a FOXM1-mediated pro-malignancy program in non-functional pancreatic neuroendocrine tumors (NF-PanNETs) and informatively predict patient outcomes.

Science bulletin·2026
Same author

Inhibiting hepatocytes MAGL alleviates osteoporosis caused by high-fat diet-induced liver fibrosis in male mice.

Journal of the Endocrine Society·2026
Same author

Single-cell analyses of tissue regeneration in two true jellyfish.

Molecular biology and evolution·2026
Same author

SCMBench: benchmarking domain-specific and foundation models for single-cell multi-omics data integration.

Nature communications·2026
Same author

Graph-based understanding of isomeric diversity in complex dissolved organic matter.

Communications chemistry·2026
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
查看所有相关文章

相关实验视频

Updated: Jul 12, 2025

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

3.0K

在大规模的细胞分辨率空间转录学中,stVAE将细胞类型的组成分解.

Chen Li1, Ting-Fung Chan2,3, Can Yang4,5

  • 1Department of Statistics, Chinese University of Hong Kong, Hong Kong 999077, China.

Bioinformatics (Oxford, England)
|October 20, 2023
PubMed
概括
此摘要是机器生成的。

stVAE是一种新的变异性自编码方法,在空间转录基因数据中准确地解构细胞类型. 这种工具揭示了细胞异质性和组织内的相互作用,推动了空间生物学研究.

更多相关视频

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

18.6K
Isolation and Transcriptome Analysis of Plant Cell Types
08:53

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

1.5K

相关实验视频

Last Updated: Jul 12, 2025

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

3.0K
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

18.6K
Isolation and Transcriptome Analysis of Plant Cell Types
08:53

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

1.5K

科学领域:

  • 空间转录组学 空间转录组学
  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.

背景情况:

  • 空间转录技术提供了细胞分辨率的洞察力,但面临着大型数据集的挑战.
  • 目前的细胞类型解卷方法与空间转录组数据的独特特征作斗争.

研究的目的:

  • 引入stVAE,一种基于自编码器的变异性方法,用于在细胞分辨率空间转录数据集中的细胞类型解卷.
  • 评估stVAE在各种生物组织和数据集上的表现.

主要方法:

  • 使用变量自编码器框架开发了stVAE.
  • 将stVAE应用于来自小鼠大脑,胚胎和嗅觉球的五个空间转录基因数据集.
  • 使用已知的组织结构和标记基因验证结果.

主要成果:

  • stVAE准确地重建了小鼠皮质金字塔细胞层的层状结构.
  • 在发育中的小鼠胚胎中识别了骨质母细胞亚型的空间模式.
  • 在小鼠嗅球中划分细胞类型的分布.
  • 证明了stVAE在空间转录基因数据中识别细胞类型及其比例的能力.

结论:

  • stVAE有效地从细胞分辨率空间转录基因数据中解构细胞类型组成.
  • 该方法准确地识别空间模式和细胞类型的比例.
  • stVAE对于研究细胞异质性和组织相互作用非常有价值.