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

RNA-seq03:21

RNA-seq

9.9K
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...
9.9K

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

Coati optimization algorithm to recover the secret key of the classical transposition cryptosystem.

Scientific reports·2026
Same author

Indian Society of Periodontology Good Clinical Practice Recommendations for dental pain management and use of analgesics.

Journal of Indian Society of Periodontology·2026
Same author

Strategic beginnings: In to continued traditions.

Journal of Indian Society of Periodontology·2026
Same author

Outcomes of acute kidney injury in critically ill adults with tropical acute febrile illness: Prospective observational study.

World journal of critical care medicine·2026
Same author

Pharmaco-Epigenomic response of Pimozide is mediated through miR-2909.

Integrative biology : quantitative biosciences from nano to macro·2026
Same author

Clarifications: NEPTUNE Study.

Indian pediatrics·2026

相关实验视频

Updated: Jun 16, 2025

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

scDown:为单细胞RNA-Seq下游分析提供一个管道

Liang Sun1, Qianyi Ma1, Chunhui Cai1

  • 1Research Informatics, Department of Information Technology, Boston Children's Hospital, Boston, MA 02115, USA.

International journal of molecular sciences
|June 13, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了scDown,这是用于单细胞RNA测序 (scRNA-seq) 数据分析的R包. 它整合了细胞分化和通信分析,揭示了对罕见遗传神经发育障碍的新见解.

关键词:
细胞比例差异分析细胞细胞通信 细胞细胞通信伪时间分析分析.单细胞转录组学 单细胞转录组学运行轨迹分析的方法

更多相关视频

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
05:45

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

2.2K
Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy
04:21

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Published on: January 19, 2024

2.8K

相关实验视频

Last Updated: Jun 16, 2025

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
Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
05:45

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

2.2K
Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy
04:21

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Published on: January 19, 2024

2.8K

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:

  • 单细胞RNA测序 (scRNA-seq) 能够对细胞异质性的高分辨率分析.
  • 对于scRNA-seq数据,现有的下游分析工具往往不一致,阻碍了对细胞分化和通信的综合研究.

研究的目的:

  • 开发一个自动化管道,用于对scRNA-seq数据的综合下游分析.
  • 促进细胞分化和通信的研究,特别是在罕见疾病中.

主要方法:

  • 开发R包"scDown"用于自动化scRNA-seq下游分析.
  • 整合细胞比例差异,细胞间通信,伪时间和RNA速度分析.
  • 与scRNA-seq数据的兼容性得到了Seurat和Scanpy的注释.

主要成果:

  • 将scDown应用于已发表的数据集,发现了一种新的神经元炎症信号签名.
  • 这种签名与一种罕见的遗传神经发育障碍有关.
  • 仅仅使用标准差异基因表达分析无法检测到所识别的特征.

结论:

  • scDown管道为全面的scRNA-seq数据分析提供了一个有价值的工具.
  • scDown促进生物发现,特别是在罕见疾病的背景下.
  • 该管道增强了从scRNA-seq数据中发现复杂生物机制的能力.