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Riboswitches01:56

Riboswitches

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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...
6.2K

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相关实验视频

Updated: Sep 8, 2025

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

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Toehold-VISTA:一种机器学习方法来破译可编程的RNA传感器-目标相互作用

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
概括

我们开发了一种机器学习框架VISTA, 这种方法加速了用于合成生物学和诊断的RNA传感器的工程,包括用于检测SARS-CoV-2.

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

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相关实验视频

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

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

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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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科学领域:

  • 合成生物学
  • 分子诊断
  • 计算生物学

背景情况:

  • 基于RNA的生物传感器对于合成生物学和诊断至关重要,
  • 了解RNA-RNA相互作用和结构功能关系是提高传感器性能的关键.
  • 目前用于RNA传感器设计的方法缓慢且缺乏预测能力.

研究的目的:

  • 提出一个以机器学习为导向的框架,VISTA,用于快速和多功能的基RNA向分析.
  • 加速高性能RNA生物传感器的设计和工程.
  • 通过目标意识的设计策略来改善RNA传感器功能.

主要方法:

  • VISTA将传感器和点RNA的生物物理建模与部分最小平方差分分析 (PLS-DA) 结合起来.
  • 使用高通量实验测量和序列结构特征提取来训练预测模型.
  • 作为模型RNA传感器系统,用于验证VISTA框架.

主要成果:

  • VISTA成功捕获了RNA传感器性能的主要决定因素.
  • 托霍尔德-VISTA 证明了能够设计具有针对 SARS-CoV-2 RNA 功能的 RNA 传感器的能力.
  • 该框架可以快速设计RNA传感器.

结论:

  • 维斯塔为加速RNA传感器工程提供了一个广泛适用的策略.
  • 这种机器学习方法有助于开发基于RNA的生物技术和诊断工具.
  • 这项研究为更高效的RNA生物传感器设计奠定了基础.