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
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.8K
Next-generation Sequencing03:00

Next-generation Sequencing

88.5K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
88.5K
Sanger Sequencing01:57

Sanger Sequencing

753.9K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
753.9K

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

Identification of Moonlighting Proteins from Published Literature Using Natural Language Processing and AI.

The protein journal·2026
Same author

Isolation and characterization of secondary metabolites from <i>Nyctanthes arbor-tristis</i> L.

Natural product research·2026
Same author

Dihydroxyflavones as potential therapeutic agents against inflammation and renal injury via p38 MAP kinase inhibition: an in silico and experimental study.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

Protein-DNA interactions in disease and drug discovery.

Chemical communications (Cambridge, England)·2026
Same author

A new stilbene-type polyphenol and other phenolics with anti-inflammatory activities from <i>Coleus esculentus</i> (N.E.Br.) G.Taylor.

Natural product research·2025
Same author

Editorial overview: Protein-nucleic acid interactions: From origins to design.

Current opinion in structural biology·2025

相关实验视频

Updated: Jun 18, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.4K

将依赖序列的DNA形状和动态纳入转录组数据分析中.

Manisha Kalsan1, Almas Jabeen1, Shandar Ahmad2

  • 1School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.

Methods in molecular biology (Clifton, N.J.)
|July 27, 2024
PubMed
概括
此摘要是机器生成的。

这项研究揭示了DNA形状和动态,而不仅仅是序列动机,驱动基因共同调节. 我们将展示如何使用像DynaSeq.这样的工具从基因表达数据中检测这些特征.

关键词:
DNA 的形态动力学.形状 DNA 形状 DNA 的形状基因表达 基因表达序列图案的图案是一个序列.转录因子是一种转录因子.

更多相关视频

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

5.7K
Using In Vitro and In-cell SHAPE to Investigate Small Molecule Induced Pre-mRNA Structural Changes
11:58

Using In Vitro and In-cell SHAPE to Investigate Small Molecule Induced Pre-mRNA Structural Changes

Published on: January 30, 2019

8.3K

相关实验视频

Last Updated: Jun 18, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.4K
An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level
06:02

An Approach to Study Shape-Dependent Transcriptomics at a Single Cell Level

Published on: November 2, 2020

5.7K
Using In Vitro and In-cell SHAPE to Investigate Small Molecule Induced Pre-mRNA Structural Changes
11:58

Using In Vitro and In-cell SHAPE to Investigate Small Molecule Induced Pre-mRNA Structural Changes

Published on: January 30, 2019

8.3K

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 转录因子 (TFs) 的基因共同调节在细胞过程中至关重要.
  • 检测TF介导的共同调节具有挑战性,尤其是在单细胞表达数据和有限的TF约束信息的情况下.
  • 传统的图案丰富分析可能会错过由DNA形状和动态驱动的共同调节.

研究的目的:

  • 探索超越序列动机的基因共同调节的替代机制.
  • 展示从基因表达数据中检测DNA形状和动态特征的方法.
  • 介绍DynaSeq作为一种用于分析依赖序列的DNA形状特征的工具.

主要方法:

  • 对基因表达数据的分析.
  • 使用计算工具进行图案丰富分析.
  • 使用DynaSeq来预测依赖序列的DNA形状特征和动态.

主要成果:

  • 确定了DNA形状和动态作为基因共同调节的重要因素.
  • 证明了从基因表达数据中检测这些特征的可行性.
  • 展示了DynaSeq在揭示这些非基于动机的监管机制方面的实用性.

结论:

  • 基因共同调节可以由DNA形状和动态驱动,提供了一个超越序列动机的新视角.
  • 包括DynaSeq在内的计算方法可以有效地识别这些监管签名.
  • 这项工作为在更深层次的机械层面上理解基因调节提供了宝贵的见解.