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相关概念视频

RNA Interference01:23

RNA Interference

28.2K
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...
28.2K
RNA Splicing01:32

RNA Splicing

60.7K
Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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RNA Stability01:53

RNA Stability

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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...
35.8K
Bacterial RNA Polymerase00:43

Bacterial RNA Polymerase

32.9K
Unlike eukaryotes, bacteria use a single RNA Polymerase (RNAP) to transcribe all genes. The different subunits of bacterial RNAPhave distinct functions. The multisubunit structure of the bacterial RNAP helps the enzyme to maintain catalytic function, facilitate assembly, interact with DNA and RNA, and self-regulate its activity.
In most genes, the transcription site is a single base present upstream of the coding sequence. Though RNAP is a catalytically efficient enzyme, it does not recognize...
32.9K
RNA Editing02:23

RNA Editing

9.9K
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...
9.9K
Eukaryotic RNA Polymerases00:58

Eukaryotic RNA Polymerases

27.2K
RNA Polymerase (RNAP) is conserved in all animals, with bacterial, archaeal, and eukaryotic RNAPs sharing significant sequence, structural, and functional similarities. Among the three eukaryotic RNAPs, RNA Polymerase II is most similar to bacterial RNAP in terms of both structural organization and folding topologies of the enzyme subunits. However, these similarities are not reflected in their mechanism of action.
All three eukaryotic RNAPs require specific transcription factors, of which the...
27.2K

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相关实验视频

Updated: Feb 11, 2026

Sequencing of mRNA from Whole Blood using Nanopore Sequencing
11:26

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Published on: June 3, 2019

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在纳米孔RNA测序中先进的深度学习策略.

Crystal Ling1, Benjamin Lebeau1, Kwoh Chee Keong2

  • 1School of Biological Sciences, Nanyang Technological University, Singapore.

RNA biology
|February 9, 2026
PubMed
概括
此摘要是机器生成的。

人工智能,特别是深度学习,正在彻底改变通过纳米孔测序检测到的RNA修饰的分析. 这些先进的计算方法对于理解表表写体及其在疾病中的作用至关重要.

关键词:
深度学习是一种深度学习.副转录ome 副转录ome 副转录ome 副转录ome基因组RNA的修改 基因组RNA的改变直接进行RNA测序.纳米孔测序的测序

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Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example
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Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
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相关实验视频

Last Updated: Feb 11, 2026

Sequencing of mRNA from Whole Blood using Nanopore Sequencing
11:26

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Published on: June 3, 2019

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Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example
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Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example

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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

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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.
  • 基因组学就是基因组学.

背景情况:

  • 副转录组由RNA化学修饰组成,对于基因调节至关重要.
  • RNA修饰的失调与各种疾病有关,突出了它们作为生物标志物和治疗点的潜力.
  • 纳米孔直接RNA测序提供单分子分辨率,用于分析这些修饰.

研究的目的:

  • 审查人工智能的应用,特别是深度学习,用于解释纳米孔直接RNA测序数据用于表表体转录组分析.
  • 突出计算方法的进步,以应对RNA修饰分析中的挑战.

主要方法:

  • 对用于检测RNA修饰的深度学习架构 (CNN,RNN) 的审查.
  • 讨论最近的专业学习框架和整体策略.
  • 专注于纳米孔直接RNA测序信号的计算解释.

主要成果:

  • 深度学习对于解释复杂的纳米孔测序数据至关重要.
  • 先进的DL方法提高了分辨率,并解决了稀缺性和噪音等数据挑战.
  • 专门的框架和整体策略显示了增强表皮转录组表征的前景.

结论:

  • 人工智能和深度学习对于使用纳米孔测序推进表体转录组研究至关重要.
  • 未来的机遇在于人工智能和生物学之间的多学科合作.
  • 精确表征表皮转录组对疾病生物标志物和治疗开发有希望.