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相关概念视频

Leaky Scanning02:28

Leaky Scanning

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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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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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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.
The technique...
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相关实验视频

Updated: Jun 23, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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从ScRNA-seq数据中识别传染病中的标记基因,使用可解释机器学习.

Gustavo Sganzerla Martinez1,2,3, Alexis Garduno4,5, Ali Toloue Ostadgavahi1,2,3

  • 1Microbiology and Immunology, Dalhousie University, Halifax, NS B3H 4H7, Canada.

International journal of molecular sciences
|June 19, 2024
PubMed
概括

人工智能和单细胞RNA测序可以检测感染的严重程度. 免疫细胞中的关键基因表达有助于区分轻度和重度的败血症和COVID-19,有助于早期诊断.

关键词:
人工智能的人工智能是人工智能.标记基因 标记基因 标记基因这是一种血症.一个单细胞RNA测序.

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相关实验视频

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科学领域:

  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 感染可以触发异常的免疫反应,导致炎症,组织损伤和器官衰竭.
  • 免疫失调表现为免疫细胞种群和生物标志物度的改变.
  • 早期诊断和免疫失调综合征的严重程度评估至关重要.

研究的目的:

  • 开发一种人工智能 (AI) 工具,用于早期诊断和免疫失调综合征的严重程度差异化.
  • 利用单细胞RNA测序 (scRNA-seq) 数据进行免疫反应分析.
  • 识别关键基因和免疫细胞标记物,用于感染分类.

主要方法:

  • 使用scRNA-seq数据构建了一个AI分类系统.
  • 分析了免疫细胞中的基因表达模式.
  • 解释AI决策模式以识别重要的基因和细胞类型.

主要成果:

  • 单细胞转录组学成功地区分了轻度和重度的败血症和COVID-19之间.
  • 免疫细胞中的特定基因表达变化 (CD3,CD14,CD16,FOSB,S100A12,TCRɣδ) 准确地区分了感染的严重程度.
  • 鉴定出免疫细胞种群对于区分感染程度至关重要.

结论:

  • 人工智能与scRNA-seq结合,为早期诊断感染严重程度提供了一个有希望的方法.
  • 鉴定出来的基因可以作为毒症和COVID-19的潜在诊断标志物.
  • 这些发现可以指导针对性免疫治疗干预措施的开发.