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相关概念视频

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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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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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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Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
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通过人工智能从单细胞欧米克数据揭示长非编码RNA网络.

Guangshuo Cao1, Dijun Chen2

  • 1State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.

Methods in molecular biology (Clifton, N.J.)
|December 20, 2024
PubMed
概括

单细胞奥米克和人工智能 (AI) 揭示了长非编码RNA (lncRNA) 在细胞多样性和疾病中的作用. 这些先进的方法有助于构建单细胞基因调节网络 (scGRNs),以获得更深入的生物学见解.

关键词:
人工智能 (AI) 是一种人工智能.基因调控网络 (GRNs) 是一种基因调控网络.长非编码RNAs (lncRNAs) 是一种长非编码RNA.多个omics的多个omics.单细胞测序是一种单细胞测序.

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科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 单细胞奥米克技术为基因表达提供了高分辨率的洞察力.
  • 长非编码RNAs (lncRNAs) 在细胞过程和疾病中起着至关重要的作用.
  • 人工智能 (AI) 增强了复杂生物数据的分析.

研究的目的:

  • 审查用于lncRNA研究的单细胞奥米克数据分析方面的进展.
  • 突出AI在理解ncRNA功能和疾病影响方面的作用.
  • 总结用于构建单细胞基因调控网络 (scGRNs) 的资源和模型.

主要方法:

  • 对单细胞奥米克数据的分析,以研究 lncRNA 表达力学.
  • 整合功能基因组学和疾病关联的AI方法.
  • 开发和应用用于scGRN建设的计算模型.

主要成果:

  • 单细胞奥米克能够详细描述lncRNA表达和细胞类型特异性.
  • 人工智能有助于发现 lncRNA 驱动的监管网络.
  • 既定资源和人工智能模型有助于构建scGRNs.

结论:

  • 单细胞奥米克和AI的整合对于破译lncRNA生物学至关重要.
  • 了解lncRNA介导的scGRNs为细胞异质性和疾病机制提供了洞察力.
  • 未来的研究方向集中在scGRN探索在lncRNA研究中的挑战和前景.