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相关概念视频

Combinatorial Gene Control02:33

Combinatorial Gene Control

8.4K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.4K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

13.6K
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...
13.6K
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

23
Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
23
What is Gene Expression?01:42

What is Gene Expression?

167.8K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
167.8K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

919
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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相关实验视频

Updated: Jul 11, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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没有对照样本的N-of-one差异性基因表达,使用深度生成模型.

Iñigo Prada-Luengo1, Viktoria Schuster2, Yuhu Liang1

  • 1Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.

Genome biology
|November 17, 2023
PubMed
概括

这项研究引入了一种新的生成模型,用于分析大量RNA测序 (RNA-seq) 数据,而不需要对照样本. 该模型识别了疾病样本中最接近的健康组织概况,使得差异表达分析和标记基因发现更有效.

关键词:
DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG DEG在DEseq2中使用DEseq2.深度生成模型深度生成模型深度学习是一种深度学习.微分表达式分析 微分表达式分析文字转录学 (Transcriptomics) 是一个学科.

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科学领域:

  • 计算生物学 计算生物学
  • 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:

  • 大量RNA测序 (RNA-seq) 数据的差异分析通常受到合适的对照样本的可用性限制.
  • 在没有适当的比较的情况下,现有的方法可能难以准确识别疾病特异性基因表达变化.

研究的目的:

  • 开发一种无控制的方法,用于使用大量RNA-seq数据进行单样差异基因表达分析.
  • 创建一个能够识别任何特定疾病样本最接近健康组织的生成模型.

主要方法:

  • 一个无监督的生成模型仅在健康组织RNA-seq数据上接受训练.
  • 该模型学习了基因表达特征的低维表示.
  • 它确定了疾病样本的最近的正常形状,以便进行无对照分析.

主要成果:

  • 提出的方法成功地进行了无控制的,单个样本的微分表达式分析.
  • 在乳腺癌中,这种方法识别了标记基因,并超过了最先进的方法.
  • 模型识别的基因被癌症驱动基因丰富,这表明生物相关性.

结论:

  • 生成模型有效地取代了在差异基因表达分析中对照样本的需求.
  • 在 silico 最接近正常的比较是一个比使用传统的对照样本更有利的方法.
  • 这种方法增强了在疾病背景下识别生物学意义上的基因.