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相关概念视频

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...
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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...
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Ribosome Profiling02:24

Ribosome Profiling

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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...
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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...
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RNA Interference01:23

RNA Interference

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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...
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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...
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相关实验视频

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:一种机器学习方法来破译可编程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, United States.

Nucleic acids research
|February 16, 2026
PubMed
概括

这项研究介绍了VISTA,这是一种机器学习框架,可以快速设计高性能RNA生物传感器. 维斯塔加速了用于合成生物学和诊断的RNA传感器的工程.

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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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Last 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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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 合成生物学
  • 分子诊断学 分子诊断学
  • 计算生物学是一种计算生物学.

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.
  • 设计有效的RNA传感器是耗时且具有挑战性的.
  • 了解RNA-RNA相互作用规则和结构功能关系是有限的.

研究的目的:

  • 为快速RNA传感器设计开发一个计算框架.
  • 提高RNA生物传感器的性能和效率.
  • 加速RNA传感器工程用于生物技术和诊断.

主要方法:

  • 开发了VISTA (多功能内RNA向分析),一个以机器学习为导向的框架.
  • 传感器和目标RNA的综合生物物理建模.
  • 使用部分最小平方差分分析和高通量实验数据进行模型训练.

主要成果:

  • 维斯塔成功设计了具有增强性能的RNA传感器.
  • 该框架捕捉了RNA传感器性能的主要决定因素.
  • 托霍尔德-维斯塔 (Toehold-VISTA) 证明了针对SARS-CoV-2 RNA的改善RNA传感器设计.

结论:

  • 维斯塔提供了一个广泛适用的,目标意识的设计策略.
  • 这种方法加速了RNA传感器的工程.
  • 该方法对生物技术和诊断应用有重大影响.