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相关概念视频

RNA Structure01:23

RNA Structure

79.6K
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...
79.6K
RNA Structure01:19

RNA Structure

7.9K
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...
7.9K
RNA-seq03:21

RNA-seq

12.3K
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...
12.3K
Nucleic Acid Structure01:25

Nucleic Acid Structure

9.7K
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...
9.7K
RNA Stability01:53

RNA Stability

35.9K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
35.9K
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

12.0K
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,...
12.0K

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相关实验视频

Updated: Mar 3, 2026

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

Published on: December 9, 2022

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对RNA结构预测和设计的计算方法.

Yuki Kagaya1, Boyuan Liu2, Daisuke Kihara1,2

  • 1Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA.

Cell reports. Physical science
|March 2, 2026
PubMed
概括

深度学习彻底改变了RNA结构预测,大大提高了对传统方法的准确性. 这一进步加速了RNA设计,并在计算RNA生物学中开辟了新的前沿.

科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物学是结构生物学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 确定RNA的3D结构对于理解它的生物作用至关重要.
  • 传统的计算RNA结构预测方法包括同类学和de novo建模.
  • 深度学习最近改变了RNA结构预测,提高了准确性.

研究的目的:

  • 概述计算机RNA结构预测方面的进展.
  • 详细介绍传统和基于深度学习的方法.
  • 讨论这些方法对RNA设计和未来方向的影响.

主要方法:

  • 总结基础的传统RNA结构预测原则.
  • 详细介绍基于最先进的深度学习的方法.
  • 将深度学习方法分类为:依赖MSA,无MSA和通用模型.

主要成果:

  • 深度学习在RNA结构预测准确性方面明显优于传统方法.
  • 新的深度学习策略包括利用多个序列对齐 (MSA),单个序列和预测生物分子复合体.
  • 预测性的突破正在加速RNA设计.

结论:

更多相关视频

RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

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相关实验视频

Last Updated: Mar 3, 2026

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

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

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

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  • 深度学习代表了计算RNA结构预测中的范式转变.
  • 未来的方向包括解决RNA结构生物学当前的挑战.
  • 进步有望进一步释放RNA的功能和设计潜力.