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

Reduced gravity and muon flux absence affect <i>Caenorhabditis elegans</i> life history traits and viral infection.

Microbiology spectrum·2026
Same author

Experimental evolution of the host range dynamics in two isolates of potato virus Y.

Virus evolution·2026
Same author

Latent infection of Caenorhabditis elegans by Orsay virus induces age-dependent immunity and cross-protection.

Nature communications·2025
Same author

Taylor's Power Law rules the dynamics of allele frequencies during viral evolution in response to host changes.

Journal of the Royal Society, Interface·2025
Same author

Almond Grafting for Plum Pox Virus Resistance Triggers Significant Transcriptomic and Epigenetic Shifts in Peaches.

International journal of molecular sciences·2025
Same author

Population dynamics of defective viral genomes of tomato black ring virus during host-to-host transmission.

Journal of virology·2024

相关实验视频

Updated: Jun 8, 2025

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
18:10

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

29.5K

从高通量RNA测序中量化有缺陷和野生型病毒.

Juan C Muñoz-Sánchez1,2, María J Olmo-Uceda1, José-Ángel Oteo1,2

  • 1Institute for Integrative Systems Biology (I2SysBio), CSIC-Universitat de València, Paterna, València 46980, Spain.

Bioinformatics (Oxford, England)
|November 4, 2024
PubMed
概括

这项研究引入了一种新的方法,用于量化缺陷病毒基因组 (DVGs) 与野生类型 (wt) 病毒一起. 这种新方法从RNA测序数据中准确估计DVG和wt基因组比例,这对于理解病毒进化和感染至关重要.

更多相关视频

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
09:36

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

16.9K
Reverse Genetics to Engineer Positive-Sense RNA Virus Variants
15:49

Reverse Genetics to Engineer Positive-Sense RNA Virus Variants

Published on: June 9, 2022

1.3K

相关实验视频

Last Updated: Jun 8, 2025

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
18:10

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

29.5K
Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
09:36

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

16.9K
Reverse Genetics to Engineer Positive-Sense RNA Virus Variants
15:49

Reverse Genetics to Engineer Positive-Sense RNA Virus Variants

Published on: June 9, 2022

1.3K

科学领域:

  • 病毒学 病毒学
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 缺陷病毒基因组 (DVGs) 是病毒变异,需要辅助野生类型 (wt) 病毒进行复制.
  • DVG影响病毒进化,宿主免疫反应和感染结果,使得它们的量化至关重要.
  • 精确量化DVG是具有挑战性的,因为它们依赖于wt病毒,并且在测序数据中难以区分它们.

研究的目的:

  • 开发一种方法,同时估计DVG和WT基因组的丰度.
  • 为了从短读RNA测序数据中实现全基因组DVG和重量比例的量化.

主要方法:

  • 开发了一种计算方法,通过识别测序深度的偏差来估计病毒基因组丰度.
  • 使用线性方程系统重建深度配置文件并量化wt和DVG基因组.
  • 该方法提供了全基因组的估计,与以前的特定区域的方法不同.

主要成果:

  • 成功开发了一种用于同时估计wt和DVG基因组丰度的方法.
  • 该方法从RNA测序数据中准确量化了两种基因组类型的比例.
  • 这是第一个提供全基因组同时量化wt和DVG的方法.

结论:

  • 开发的方法在量化DVG和wt病毒方面取得了重大进展.
  • 准确的量化对于理解DVG动态及其对病毒感染的影响至关重要.
  • 自由可用的代码和数据集有助于在该领域进行进一步的研究.