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

Experimental RNAi02:15

Experimental RNAi

6.1K
RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
6.1K
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
RNA Interference01:23

RNA Interference

26.1K
RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
26.1K
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

10.6K
The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
10.6K
RNA Structure01:19

RNA Structure

4.8K
The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
4.8K
RNA Editing02:23

RNA Editing

9.0K
RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
9.0K

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

Rational design of mechanically active RNAs: de novo engineering of functional exoribonuclease-resistant RNAs.

Nucleic acids research·2026
Same author

MicroRNA-Mediated Obstruction of Stem-loop Alternative Splicing (MIMOSAS) regulates long-range alternative splicing in Drosophila.

Nucleic acids research·2026
Same author

Experimental identification of preQ<sub>1</sub>-binding RNAs in the pathogenic bacterium <i>Listeria monocytogenes</i>.

RSC chemical biology·2025
Same author

Sequence Design for RNA-RNA Interactions.

Methods in molecular biology (Clifton, N.J.)·2024
Same author

Sampling globally and locally correct RNA 3D structures using Ernwin, SPQR and experimental SAXS data.

Nucleic acids research·2024
Same author

tRNA expression and modification landscapes, and their dynamics during zebrafish embryo development.

Nucleic acids research·2024

相关实验视频

Updated: Jul 11, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

4.2K

用维也纳RNA包修改的RNA和预测.

Yuliia Varenyk1,2, Thomas Spicher1,3, Ivo L Hofacker1,4

  • 1Department of Theoretical Chemistry, University of Vienna, Vienna 1090, Austria.

Bioinformatics (Oxford, England)
|November 16, 2023
PubMed
概括

这项研究引入了一种新的方法,通过将稀疏能量数据纳入现有算法来预测具有修饰基的RNA结构. 这提高了对改性RNA分子的RNA结构预测的准确性.

更多相关视频

mirMachine: A One-Stop Shop for Plant miRNA Annotation
06:16

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

2.6K
Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

5.6K

相关实验视频

Last Updated: Jul 11, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

4.2K
mirMachine: A One-Stop Shop for Plant miRNA Annotation
06:16

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

2.6K
Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

5.6K

科学领域:

  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 除了标准的ACGU RNA字母之外,还有超过300个修饰基.
  • 修改基因影响RNA结构和功能,其中一些基因对tRNA折叠至关重要.
  • 由于算法限制和缺失的稳定性数据,预测具有改性基的RNA结构具有挑战性.

研究的目的:

  • 开发一种有效的方法,将修改后的基本能量参数纳入RNA结构预测中.
  • 为了增强维也纳RNA包,以处理更大的RNA序列字母.

主要方法:

  • 在维也纳RNA包中实施了插件约束系统.
  • 在运行时调整了预测算法,以包括修改基础的稀疏能量参数数据.
  • 通过仅在参数可用的情况下应用调整来确保计算效率.

主要成果:

  • 成功地将修改基的稀有能量参数数据集成到RNA结构预测中.
  • 这种方法在不改变核心算法的情况下增强了维也纳RNA包.
  • 随着数据的可用性增加,方便将来包含更多修改后的数据库.

结论:

  • 开发的方法提供了一种灵活和有效的方法,以改善对改性RNA的RNA结构预测准确度.
  • 这一进步有助于理解修改基在RNA结构和功能中的作用.