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

9.8K
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...
9.8K

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 single-cell atlas of ulcerative colitis reveals neutrophil-stromal circuits linked to biologic therapy resistance.

Frontiers in immunology·2026
Same author

Direct RNA Sequencing reveals epitranscriptomic regulation of brain cells and Alzheimer's Disease pathology.

bioRxiv : the preprint server for biology·2026
Same author

Ribosome Profiling for Novel Antigen Discovery.

Methods in molecular biology (Clifton, N.J.)·2025
Same author

Author Correction: Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypes.

Nature genetics·2025
Same author

Overloading And unpacKing (OAK) - droplet-based combinatorial indexing for ultra-high throughput single-cell multiomic profiling.

Nature communications·2024
Same author

Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypes.

Nature genetics·2024
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
查看所有相关文章

相关实验视频

Updated: Jun 5, 2025

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
00:09

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

7.3K

一个全面的分析框架,用于评估商业单细胞RNA测序技术.

Marco De Simone1, Jonathan Hoover1, Julia Lau1

  • 1Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, 94080, CA, USA.

Nucleic acids research
|December 15, 2024
PubMed
概括
此摘要是机器生成的。

这项研究比较了九个单细胞RNA测序 (scRNA-seq) 套件,发现10× Genomics Chromium套件优越. 一个新的指标,读取利用率,有助于评估scRNA-seq套件的效率和成本.

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

18.4K
Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.2K

相关实验视频

Last Updated: Jun 5, 2025

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
00:09

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

7.3K
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

18.4K
Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
06:40

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

1.2K

科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 生物技术是生物技术.

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 对于理解细胞异质性至关重要.
  • 有许多商业套件,但对它们的性能进行直接比较是有限的.
  • 需要标准化的评估来指导研究人员选择合适的scRNA-seq技术.

研究的目的:

  • 为了全面评估和比较九个著名的商业scrRNA-seq套件.
  • 评估分析性能,协议持续时间和成本效益.
  • 引入和验证用于套件评估的"阅读利用率"指标.

主要方法:

  • 测试了来自四个技术组的9个scRNA-seq套件,使用来自单个捐赠者的外周血液单核细胞 (PBMC).
  • 基于分析性能,协议持续时间,成本和新型阅读利用指标的评估套件.
  • 分析了来自169262个单元格的数据.

主要成果:

  • 10×基因组学固定RNA分析套件显示了最好的整体性能.
  • 贝克顿迪金森拉普索迪WTA套装在性能和成本之间提供了良好的平衡.
  • 读取利用指标有效地根据效率和对灵敏度和成本的影响区分了套件.

结论:

  • 该研究提供了领先的商业scRNA-seq套件的强大比较.
  • 读取利用指标是评估scRNA-seq套件效率和成本效益的宝贵工具.
  • 这些发现将有助于研究人员为他们的研究选择最佳的scRNA-seq技术.