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相关概念视频

Regulated mRNA Transport02:22

Regulated mRNA Transport

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In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing...
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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.
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Nucleic Acid Structure01:25

Nucleic Acid Structure

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The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
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Visualizing and Tracking Endogenous mRNAs in Live Drosophila melanogaster Egg Chambers
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NN-RNALoc:基于神经网络的模型,用于使用基于距离的子序列配置文件来预测mRNA亚细胞局部化.

Negin Sadat Babaiha1,2, Rosa Aghdam3,4, Shokoofeh Ghiam3

  • 1Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran.

PloS one
|September 14, 2023
PubMed
概括

使用一种新的神经网络方法,NN-RNALoc可以预测信使RNA (mRNA) 的细胞位置. 这种方法提高了RNA局部化预测的准确性和效率,这对于理解基因表达和疾病至关重要.

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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.
  • 计算生物学 计算生物学

背景情况:

  • 使者RNA (mRNA) 局部化对于基因表达调节和蛋白质向至关重要.
  • 异常的mRNA定位与神经肌肉疾病和癌症有关.
  • 对mRNA细胞位置的准确预测对于生物研究至关重要.

研究的目的:

  • 介绍NN-RNALoc,一种基于神经网络的新方法,用于预测mRNA细胞局部.
  • 为mRNA开发高效准确的序列表示.
  • 整合蛋白质-蛋白质相互作用数据以改善预测.

主要方法:

  • 开发了一种基于距离的次序概况,用于高效的RNA序列表示.
  • 综合蛋白质-蛋白质相互作用数据与新型mRNA序列特征.
  • 利用神经网络架构来预测mRNA本地化.

主要成果:

  • 与基准数据集 (CeFra-Seq和RNALocate) 上现有的预测模型相比,NN-RNALoc的准确性更高.
  • 与以前的方法相比,该方法显著减少了计算时间.
  • 实现了比已建立的方法更高的准确性,包括mRNALoc,RNATracker和DNN5-mer.

结论:

  • NN-RNALoc为预测mRNA细胞定位提供了一个更准确,更高效的计算解决方案.
  • 新型序列特征和蛋白质相互作用数据的整合提高了预测性能.
  • 这种工具对理解基因调节和与RNA局部化相关的疾病机制有意义.