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相关概念视频

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...
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RNA Editing02:23

RNA Editing

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RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
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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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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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RNA-seq03:21

RNA-seq

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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 9, 2025

Electrophoretic Mobility Shift Assay EMSA for the Study of RNA-Protein Interactions: The IRE/IRP Example
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Electrophoretic Mobility Shift Assay EMSA for the Study of RNA-Protein Interactions: The IRE/IRP Example

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SIREs 3.0是一个改进的RNA预测工具,用于对铁有反应的元素.

Clara Suárez-Quintana1,2, Mar Navarro-Padilla3, Uciel Chorostecki2

  • 1Department of Biomedicine, Iron metabolism: Regulation and Diseases Group, Universitat Internacional de Catalunya (UIC), Sant Cugat del Vallès 08195, Spain.

Nucleic acids research
|May 5, 2025
PubMed
概括
此摘要是机器生成的。

SIREs 3.0是一个改进的网络服务器,用于识别RNA序列中的铁反应元素 (IREs). 这个工具有助于理解铁代谢调节和相关的人类疾病.

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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
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Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
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相关实验视频

Last Updated: May 9, 2025

Electrophoretic Mobility Shift Assay EMSA for the Study of RNA-Protein Interactions: The IRE/IRP Example
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Electrophoretic Mobility Shift Assay EMSA for the Study of RNA-Protein Interactions: The IRE/IRP Example

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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

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Prediction and Validation of Gene Regulatory Elements Activated During Retinoic Acid Induced Embryonic Stem Cell Differentiation
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科学领域:

  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.
  • 遗传学 是一个遗传学.

背景情况:

  • 铁反应元素 (IREs) 是关键的RNA动机,通过铁调节蛋白 (IRPs) 调节铁代谢基因.
  • IRP/IRE系统的失调与各种人类疾病有关.
  • 塞尔斯网络服务器有助于在核酸序列中识别IREs.

研究的目的:

  • 为了介绍SIREs 3.0,一个升级的Web服务器来预测IREs.
  • 为了提高IRE分析的预测准确性和用户体验.
  • 为研究人员提供先进的工具来研究铁代谢调节.

主要方法:

  • 开发了一个基于Flask的框架,以改善互联互通.
  • 集成的NCBI和Ensembl API用于获取基因组数据.
  • 引入了新的输入模式 (批量,转录,基因) 和基于体内数据的更新IRE动机.

主要成果:

  • SIREs 3.0 通过结合转录位置和新型动机,提供了改进的 IRE 预测.
  • 增强的评分系统和图形表示改善了数据的解释.
  • 现在,Web服务器在设备之间具有更响应和更容易访问的界面.

结论:

  • SIREs 3.0为IRE预测提供了一个强大而通用的平台.
  • 增强的功能促进了铁代谢的大规模和单基因分析.
  • 该工具支持研究与IRP/IRE系统中断相关的疾病.