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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

3.4K
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...
3.4K
Riboswitches01:56

Riboswitches

8.0K
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...
8.0K
Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

3.6K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
3.6K
Experimental RNAi02:15

Experimental RNAi

6.0K
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...
6.0K
RNA Stability01:53

RNA Stability

32.9K
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...
32.9K
RNA-seq03:21

RNA-seq

9.7K
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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相关实验视频

Updated: May 8, 2025

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
10:52

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

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RRMScorer:用于预测RNA识别动机结合偏好的Web服务器.

Adrian Diaz1,2, Joel Roca-Martínez1,2, Wim Vranken1,2

  • 1Interuniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels 1050, Belgium.

Nucleic acids research
|May 7, 2025
PubMed
概括

RRMScorer预测了RNA识别动机 (RRM) 蛋白质的RNA结合偏好. 这个网络服务器分析蛋白质序列,揭示RRMs如何与RNA相互作用,帮助突变研究.

科学领域:

  • 生物化学 生物化学
  • 生物信息学是一种生物信息学.
  • 结构生物学 结构生物学

背景情况:

  • RNA识别动机 (RRMs) 是真核生物中最常见的RNA结合域.
  • 了解RRM-RNA相互作用对于破译基因调节和细胞过程至关重要.

研究的目的:

  • 开发和推出RRMScorer,一个用于预测RRM含有的蛋白质的RNA结合偏好的Web服务器.
  • 为RRM-RNA相互作用提供残留水平的见解,并促进对突变的研究.

主要方法:

  • 对187个RRM-RNA结构复合物的分析.
  • 基于氨基酸核酸相互作用倾向的概率模型的开发.
  • 实现一个用户友好的Web服务器,接受蛋白质序列和可选的RNA序列.

主要成果:

  • RRMScorer计算了RRM领域的残留水平绑定得分.
  • 服务器提供详细的可视化,包括条形图和序列标志.
  • 对1400多个RRM蛋白质的预计预测已经集成到服务器中.

结论:

  • RRMScorer提供了准确的预测和残留水平洞察力RRM-RNA结合偏好.

更多相关视频

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq
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Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq

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mRNA Interactome Capture from Plant Protoplasts
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mRNA Interactome Capture from Plant Protoplasts

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相关实验视频

Last Updated: May 8, 2025

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

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Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq
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Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq

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mRNA Interactome Capture from Plant Protoplasts
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mRNA Interactome Capture from Plant Protoplasts

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  • 该工具对于研究RRM功能,突变和比较分析的研究人员来说是有价值的.
  • 免费访问的Web服务器增强了RRM-RNA相互作用景观的探索.