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関連する概念動画

Riboswitches01:56

Riboswitches

8.5K
Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
The aptamer has high specificity for a particular metabolite which allows riboswitches to specifically regulate...
8.5K
Types of RNA01:23

Types of RNA

64.7K
Overview
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in the regulation of gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA...
64.7K
Translational Regulation01:29

Translational Regulation

91
Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
91
RNA Interference01:23

RNA Interference

26.4K
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...
26.4K
RNA-seq03:21

RNA-seq

10.4K
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...
10.4K
Experimental RNAi02:15

Experimental RNAi

6.2K
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...
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関連する実験動画

Updated: Sep 8, 2025

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
07:55

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

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Toehold-VISTA:プログラム可能なRNAセンサー-ターゲットの相互作用を解読するための機械学習アプローチ

James M Robson1,2, Alexander A Green1,2,3

  • 1Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.

bioRxiv : the preprint server for biology
|August 20, 2025
PubMed
まとめ

私たちは機械学習の枠組みである VISTAを開発し 高性能のRNAバイオセンサを 迅速に設計しました このアプローチは,SARS-CoV-2検出を含む合成生物学と診断のためのRNAセンサーの設計を加速します.

さらに関連する動画

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
11:34

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

Published on: August 9, 2019

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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

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関連する実験動画

Last Updated: Sep 8, 2025

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA
07:55

An Optimized Quantitative Pull-Down Analysis of RNA-Binding Proteins Using Short Biotinylated RNA

Published on: February 17, 2023

4.0K
Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
11:34

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

Published on: August 9, 2019

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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

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科学分野:

  • 合成生物学
  • 分子診断
  • 計算生物学

背景:

  • RNAベースのバイオセンサは 合成生物学と診断に不可欠ですが 設計には時間がかかります
  • RNA-RNAの相互作用と構造-機能の関係を理解することは,センサーの性能を改善するための鍵です.
  • 現在のRNAセンサ設計の方法は遅くて予測能力が欠けている.

研究 の 目的:

  • 機械学習によるフレームワークであるVISTAを提示し,迅速かつ汎用的なin-silico RNAターゲティング分析を行う.
  • 高性能RNAバイオセンサの設計と工学を加速する
  • ターゲットを意識した設計戦略を通じてRNAセンサ機能を改善する.

主な方法:

  • VISTAは,センサと標的RNAの生体物理モデリングと部分最小二乗差別分析 (PLS-DA) を統合しています.
  • 高通量実験測定とシーケンス構造特征抽出は予測モデルを訓練するために使用されました.
  • VISTAのフレームワークを検証するために,モデルRNAセンサーシステムとしてトーホールドスイッチが使用されました.

主要な成果:

  • VISTAはRNAセンサーの性能を決定する 重要な要素を成功裏に捉えました
  • Toehold-VISTAは,SARS-CoV-2 RNAに対する機能を改善したRNAセンサーを設計する能力を実証しました.
  • このフレームワークは,RNAセンサーの迅速でターゲットに配慮した設計を可能にします.

結論:

  • VISTAはRNAセンサエンジニアリングを加速させるための広く適用可能な戦略を提供します.
  • この機械学習アプローチは,バイオテクノロジーと診断のためのRNAベースのツールの開発を促進します.
  • この研究は,RNAバイオセンサのより効率的な設計のための基盤を確立しています.