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相关概念视频

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells
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在多式单细胞数据中识别细胞类型特定的基因,使用深度神经网络算法.

Weiye Qian1, Zhiyuan Yang1

  • 1School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, PR China.

Computers in biology and medicine
|September 22, 2023
PubMed
概括

这项研究使用CITE-seq数据识别了骨髓干细胞分化中的细胞类型特定基因. 研究人员发现了133个差异表达的基因,其中三个关键基因在红细胞祖先中被确定.

科学领域:

  • 单细胞基因组学 单细胞基因组学
  • 生物技术是生物技术.
  • 干细胞生物学 干细胞生物学

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 可以在单个细胞内进行多原子测量.
  • 通过测序 (CITE-seq) 来对转录组和表皮细胞进行细胞索引,可以同时捕获RNA和表面蛋白质的表达.
  • 在CITE-seq数据中识别细胞类型特定的基因仍然是一个重大挑战.

研究的目的:

  • 使用CITE-seq数据在骨髓干细胞分化过程中识别细胞类型特定的基因.
  • 探索RNA和蛋白质表达水平之间的关系.
  • 提供关于干细胞分化和相关疾病的新见解.

主要方法:

  • 从骨髓干细胞分化的CITE-seq数据集的获取和分析.
  • 学生t测试的应用以识别差异表达基因 (DEGs).
  • 使用深度神经网络 (DNN) 模型来预测RNA-蛋白相关性并识别关键基因.

主要成果:

  • 在七种细胞类型中发现了133个显著差异表达基因 (DEG).
  • 功能丰富分析将DEG与与血液有关的疾病联系起来,突出显示了细胞异质性.
  • 一个DNN模型实现了高预测得分 (0.867) 的RNA-蛋白质水平相关性.
关键词:
生物信息学是一种生物信息学.深度学习是一种深度学习.多模式单细胞研究.

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  • 鉴定出LGALS1,CENPV和TRIM24是红细胞原始体中的细胞类型特异性基因.

    • 结论:

    • 这项研究为骨髓干细胞分化提供了新的视角.
    • 识别的DEG提供了关于细胞异质性和潜在疾病关联的见解.
    • 鉴定出的细胞类型特异性基因可以指导进一步的血液形成和相关疾病研究.