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相关概念视频

RNA Interference01:23

RNA Interference

26.5K
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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Experimental RNAi02:15

Experimental RNAi

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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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Types of RNA01:20

Types of RNA

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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 regulating 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 Performs Diverse...
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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siRNA - Small Interfering RNAs02:30

siRNA - Small Interfering RNAs

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Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...
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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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解码非编码RNA与人工智能的相互作用和功能.

Vincent Jung1,2, Cédric Vincent-Cuaz3, Charlotte Tumescheit4,5

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概括

人工智能 (AI) 可以通过整合大型语言模型和图形神经网络来彻底改变RNA生物学. 这种方法将增强我们对信使RNA (mRNA) 功能和相互作用的理解.

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科学领域:

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

背景情况:

  • 传递 RNA (mRNA) 具有超出蛋白质编码的调节功能.
  • 传统的方法很难发现新的mRNA功能.
  • 非编码mRNA区域 (内子,UTRs) 在基因调节中起着至关重要的作用.

研究的目的:

  • 概述在RNA生物学中应用人工智能 (AI) 的路线图.
  • 探索大语言模型 (LLM) 对于理解mRNA的潜力.
  • 将LLM与图形神经网络 (GNN) 集成,用于预测RNA相互作用.

主要方法:

  • 讨论非编码mRNA区域的调节作用.
  • 利用LLM进行生物学上有意义的RNA序列表示.
  • 将LLM与GNN集成,以分析公共序列和知识数据.

主要成果:

  • 人工智能为RNA生物学研究提供了一种变革性的方法.
  • 法律学士可以学习有效的RNA序列表示.
  • 拟议的路线图有助于预测RNA相互作用和相互作用体.

结论:

  • 人工智能,特别是LLM和GNN,可以显著推进RNA生物学.
  • 这种综合方法将能够预测mRNA相互作用和特定环境的相互作用.
  • 促进RNA生物学家和计算科学家之间的合作是创新的关键.