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相关概念视频

RNA Editing02:23

RNA Editing

9.2K
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...
9.2K
Protein Modifications in the RER01:26

Protein Modifications in the RER

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Modification of secretory and transmembrane proteins entering the rough ER begins in the ER lumen. These modifications aid in protein folding and stabilize the acquired tertiary structure. Protein modifications in the rough ER co-occur at different stages of protein folding.
Broadly, these modifications can be categorized into four main categories — glycosylation, formation of disulfide bonds, assembly of protein subunits, and specific proteolytic cleavages like removal of signal...
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Pre-mRNA Processing: Modification of pre-mRNA Ends01:35

Pre-mRNA Processing: Modification of pre-mRNA Ends

9.8K
In eukaryotic cells, transcripts made by RNA polymerase are modified and processed before exiting the nucleus. Unprocessed RNA is called precursor mRNA or pre-mRNA to distinguish it from mature mRNA.
Once about 20-40 ribonucleotides have been joined together by RNA polymerase, a group of enzymes adds a cap to the 5' end of the growing transcript. In this process, a 5' phosphate is replaced by modified guanosine that has a methyl group attached (7-methyl guanosine). This 5' cap helps...
9.8K
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: Sep 9, 2025

Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry
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YModPred:基于深度学习的S. cerevisiae多种类型RNA修饰位的可解释预测方法

Chunyan Ao1,2, Mengting Niu3,4, Quan Zou1,2

  • 1Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou Zhejiang , China.

BMC biology
|August 29, 2025
PubMed
概括

一个新的深度学习模型,YModPred,准确地预测了酵母中的RNA修饰部位. 该工具通过分析序列数据来增强对RNA转录后修饰的理解.

关键词:
卷积调制多头注意力机制多种类型RNA 修改位点变压器

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科学领域:

  • 分子生物学
  • 生物信息学
  • 计算生物学

背景情况:

  • 转录后的RNA修改改变了RNA的结构和功能.
  • 这些变化会影响细胞的转化和稳定性.
  • 准确预测修饰点是理解它们机制的关键.

研究的目的:

  • 开发一种用于预测RNA修饰位的新型深度学习模型.
  • 根据RNA序列准确预测S. cerevisiae中的多种类型的RNA修饰部位.

主要方法:

  • 开发了YModPred,一种利用卷积和自我注意机制的深度学习模型.
  • 使用YModPred获取全球序列信息和本地特征进行预测.
  • 在S. cerevisiae中预测多种类型的RNA修饰部位.

主要成果:

  • YModPred在预测各种RNA修饰类型方面表现出很高的准确性.
  • 该模型在比较分析中表现优于现有的最先进方法.
  • 通过可视化和动机分析验证了预测性能.

结论:

  • YModPred有效地捕获RNA序列特征以准确预测多种类型的修改位点.
  • 该模型有助于研究S. cerevisiae中的RNA修饰机制.
  • YModPred显示了对RNA修改研究的前景.