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

10.1K
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...
10.1K
RNA Structure01:23

RNA Structure

71.7K
Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. 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): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
71.7K
Nucleic Acid Structure01:25

Nucleic Acid Structure

6.2K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
6.2K
Ribosome Profiling02:24

Ribosome Profiling

3.6K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.6K

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 Novel Attenuated NADC30-Like PRRSV Vaccine Candidate Provides Cross-Protection Against Homologous and Heterologous Viral Challenge.

Transboundary and emerging diseases·2026
Same author

Whole-proteome structure/function prediction in Uropathogenic <i>E. coli</i> reveals previously missed host-microbe and microbe-phage interaction pathways.

bioRxiv : the preprint server for biology·2026
Same author

Improving Forest Carbon Sink Accounting Using Integrated Satellite-Ground Observations, Machine Learning, and Ecological Process Modeling.

Environmental science & technology·2026
Same author

Association Between Sleep Disorders and Adverse Cardiovascular Outcomes in Patients with Chronic Obstructive Pulmonary Disease: Insights from the UK Biobank.

International journal of chronic obstructive pulmonary disease·2026
Same author

Corvad as a bridge to LVAD implantation in end-stage heart disease complicated by cardiogenic shock: a three-case series.

Frontiers in cardiovascular medicine·2026
Same author

Sequence alignment of the primate lineage reveals evolutionary divergence and conserved secondary structural motifs in noncoding RNAs.

bioRxiv : the preprint server for biology·2026
Same journal

DynaPIN: A tool for characterizing dynamic protein interfaces.

Journal of molecular biology·2026
Same journal

BindRNAgen: Protein-binding RNA sequence generation using latent diffusion models.

Journal of molecular biology·2026
Same journal

Structural basis of HSP90C, a highly active chloroplastic HSP90 chaperone from Arabidopsis thaliana.

Journal of molecular biology·2026
Same journal

Clinical inflammasome biomarkers: Progress and prospects.

Journal of molecular biology·2026
Same journal

Biologically Relevant, Cationic Residues in Human Rhinovirus Stabilize Capsid-Bound RNA Duplexes, and Restrict Capsid Flexibility.

Journal of molecular biology·2026
Same journal

Cryo-EM structures of phage T4 infection intermediate.

Journal of molecular biology·2026
查看所有相关文章

相关实验视频

Updated: Jul 25, 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

4.3K

rMSA:一个序列搜索和对齐算法,以改善RNA结构建模.

Chengxin Zhang1, Yang Zhang2, Anna Marie Pyle3

  • 1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06511, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.

Journal of molecular biology
|June 25, 2023
PubMed
概括
此摘要是机器生成的。

为RNA结构建模生成高质量的多重序列对齐 (MSA) 是一个挑战. 新的rMSA管道提供了敏感的搜索和准确的对齐,显著改善RNA二级结构和接触预测.

关键词:
RNA的二级结构是RNA的二级结构.多个序列对齐的多重序列对齐.结构预测 结构预测

更多相关视频

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

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.6K
MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
08:34

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria

Published on: February 23, 2021

6.8K

相关实验视频

Last Updated: Jul 25, 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

4.3K
RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.6K
MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
08:34

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria

Published on: February 23, 2021

6.8K

科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 预测RNA结构的预测

背景情况:

  • 多个序列对齐 (MSA) 对于RNA结构建模至关重要,包括RNA二次结构 (rSS) 和接触预测.
  • 现有的生成高质量的RNA MSAs的自动化方法是有限的.

研究的目的:

  • 开发一个自动化的,层次化的管道 (rMSA) 进行敏感和准确的RNA同类物搜索和对齐.
  • 为了提高RNA结构预测任务的MSA的质量.

主要方法:

  • 开发了rMSA,一种用于RNA同类物搜索和对齐的等级管道.
  • 在365个非冗余RNA结构的多样化数据集上评估rMSA性能.

主要成果:

  • 在生成MSA方面,rMSA显著优于现有的RNAcmap方法.
  • 与RNAcmap相比,在rSS和远距离接触预测方面获得了约20%和5%的F1得分,分别高于RNAcmap.
  • 在RNA结构建模任务中表现出更高的准确性.

结论:

  • rMSA提供了一个强大的,自动化的解决方案,用于生成高质量的RNA MSA.
  • 开发的管道提高了下游RNA结构预测任务的准确性.
  • rMSA是公开提供给研究人员,以改善RNA建模工作流程.