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関連する概念動画

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...
60.7K
RNA Stability01:53

RNA Stability

35.8K
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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関連する実験動画

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

14.8K

ナノポアRNAシーケンシングにおける高度な深層学習戦略

Crystal Ling1, Benjamin Lebeau1, Kwoh Chee Keong2

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

RNA biology
|February 9, 2026
PubMed
まとめ

人工知能、特に深層学習は、ナノポアシーケンシングによって検出されたRNA修飾の解析に革命をもたらしています。これらの高度な計算手法は、エピトランスクリプトームとその疾患における役割を理解するために不可欠です。

科学分野:

  • 分子生物学
  • バイオインフォマティクス
  • ゲノミクス

背景:

  • RNA化学修飾からなるエピトランスクリプトームは、遺伝子調節に不可欠です。
  • RNA修飾の調節不全は様々な疾患と関連しており、バイオマーカーおよび治療標的としての可能性を強調しています。
  • ナノポア直接RNAシーケンシングは、これらの修飾をプロファイリングするための単一分子分解能を提供します。

研究 の 目的:

  • エピトランスクリプトーム解析のためのナノポア直接RNAシーケンシングデータの解釈における人工知能、特に深層学習の応用のレビュー。
  • RNA修飾プロファイリングにおける課題に対処するための計算アプローチの進歩を強調すること。

主な方法:

  • RNA修飾検出に適用される深層学習アーキテクチャ(CNN、RNN)のレビュー。
  • 最近の特殊化された学習フレームワークとアンサンブル戦略の議論。
  • ナノポア直接RNAシーケンシング信号の計算的解釈に焦点を当てる。

主要な成果:

  • 深層学習は、複雑なナノポアシーケンシングデータを解釈するために不可欠です。
  • 高度なDL手法は、解像度を向上させ、希少性やノイズのようなデータ課題に対処します。
キーワード:
深層学習エピトランスクリプトームRNA修飾直接RNAシーケンシングナノポアシーケンシング

さらに関連する動画

Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example
05:45

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

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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
09:36

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

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関連する実験動画

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

14.8K
Validating Whole Genome Nanopore Sequencing, using Usutu Virus as an Example
05:45

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

Published on: March 11, 2020

9.3K
Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
09:36

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

17.7K
  • 特殊化されたフレームワークとアンサンブル戦略は、エピトランスクリプトーム特性評価の強化に有望です。
  • 結論:

    • AIと深層学習は、ナノポアシーケンシングを用いたエピトランスクリプトーム研究の進歩に不可欠です。
    • 将来の機会は、AIと生物学の間の学際的な協力にあります。
    • エピトランスクリプトームの正確な特性評価は、疾患バイオマーカーおよび治療開発に有望です。