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関連する概念動画

RNA-seq03:21

RNA-seq

12.2K
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...
12.2K
Types of RNA01:23

Types of RNA

73.2K
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...
73.2K
Ribosome Profiling02:24

Ribosome Profiling

4.2K
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...
4.2K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.8K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.8K
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
Riboswitches01:56

Riboswitches

9.8K
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...
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関連する実験動画

Updated: Feb 17, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

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Toehold-VISTA:プログラム可能なRNAセンサー-ターゲット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, United States.

Nucleic acids research
|February 16, 2026
PubMed
まとめ
この要約は機械生成です。

この研究は,高速に高性能RNAバイオセンサを設計する機械学習フレームワークであるVISTAを紹介しています. VISTAは合成生物学と診断のためのRNAセンサーのエンジニアリングを加速します.

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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

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Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay
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Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

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関連する実験動画

Last Updated: Feb 17, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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科学分野:

  • 合成生物学 合成生物学とは
  • 分子診断は分子診断です.
  • 計算生物学とは,計算生物学である.

背景:

  • RNAベースのバイオセンサは,合成生物学と診断において極めて重要です.
  • 効果的なRNAセンサーの設計は,時間がかかり,困難です.
  • RNA-RNAの相互作用規則と構造-機能関係を理解することは限られている.

研究 の 目的:

  • 迅速なRNAセンサー設計のためのコンピューティングフレームワークを開発する.
  • RNAバイオセンサの性能と効率を改善するために.
  • バイオテクノロジーと診断のためのRNAセンサー工学を加速する.

主な方法:

  • 機械学習主導のフレームワークであるVISTA (汎用性のあるin-silico RNAターゲティング分析) を開発しました.
  • センサーと標的RNAの統合生物物理モデリング.
  • 部分最小二乗差分分析と高通量実験データをモデルトレーニングのために利用しました.

主要な成果:

  • VISTAは,性能を向上したRNAセンサーを成功裏に設計しました.
  • このフレームワークは,RNAセンサーの性能の重要な決定要因を把握しています.
  • Toehold-VISTAはSARS-CoV-2 RNAに対するRNAセンサー設計の改善を示した.

結論:

  • VISTAは,広く適用可能な,ターゲットに配慮した設計戦略を提供します.
  • このアプローチにより,RNAセンサーの工学が加速されます.
  • この方法は,バイオテクノロジーと診断アプリケーションに重大な影響を及ぼします.