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相关概念视频

Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

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The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
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RNA Stability01:53

RNA Stability

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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...
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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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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
DNA...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Types of RNA01:23

Types of RNA

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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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相关实验视频

Updated: Jun 28, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

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RNA语言模型预测了改善RNA功能的突变.

Yekaterina Shulgina1,2,3, Marena I Trinidad1,4, Conner J Langeberg1,2,3

  • 1Innovative Genomics Institute, University of California, Berkeley, CA, USA.

bioRxiv : the preprint server for biology
|April 15, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了GARNET,这是一个新的RNA数据库,将基因组数据与环境温度联系起来. 这使得先进的机器学习模型能够预测RNA结构并识别增强核糖体RNA热稳定性的突变.

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 分子生物学分子生物学

背景情况:

  • RNA结构对于生物过程至关重要,但由于数据有限,难以预测.
  • 现有的RNA序列数据往往缺乏生物体的表型,阻碍了功能分析.

研究的目的:

  • 创建一个全面的RNA数据库 (GARNET),将基因组数据与环境温度联系起来.
  • 为结构和功能预测开发先进的RNA生成模型.
  • 为了识别增强热稳定的RNA突变.

主要方法:

  • 通过将GTDB基因组的RNA序列与生物体生长温度相结合,开发了GARNET数据库.
  • 为机器学习构建了深度和多样化的RNA序列对齐.
  • 开发了一个类似GPT的RNA语言模型,使用重叠的三重标记化.
  • 利用高热性RNA和生成模型来识别稳定突变.

主要成果:

  • 建立了GARNET,这是RNA结构和功能分析的新资源.
  • 对序列和结构感知RNA生成模型的定义要求.
  • 创建了一个有效的RNA语言模型,并优化了代币化.
  • 在核糖体RNA中发现了特定的突变,从而增加了热稳定性.

结论:

  • GARNET为理解RNA序列结构功能关系提供了基础.
  • 开发的深度学习模型推进了RNA结构的预测和设计.
  • 这项工作有助于在各种环境条件和应用中研究RNA.