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相关概念视频

Protein Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
What is Gene Expression?01:42

What is Gene Expression?

166.8K
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...
166.8K
Reporter Genes02:11

Reporter Genes

11.2K
Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
11.2K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.3K
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...
8.3K
Structure of a Gene01:30

Structure of a Gene

12.4K
A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
12.4K
DNA Microarrays02:34

DNA Microarrays

17.2K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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相关实验视频

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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[基因共同表达网络:概念和应用]

Charles Durand1, Pierre Charbord1

  • 1Sorbonne Université, CNRS, Inserm U1156, Institut de Biologie Paris Seine, Laboratoire de Biologie du Développement/UMR7622, 9 Quai St-Bernard, 75005 Paris, France.

Biologie aujourd'hui
|January 27, 2025
PubMed
概括

这项研究比较了权重基因相关性网络分析 (WGCNA) 和基于多变量信息的诱导因果关系 (MIIC) 来重建基因网络. WGCNA确定了间接相互作用,而MIIC揭示了直接和因果基因联系.

科学领域:

  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 高通量omics数据使系统生物学方法能够理解复杂的细胞功能.
  • 基因网络的重建对于揭示基因相互作用和生物通路至关重要.

研究的目的:

  • 讨论和比较两个互补的基因网络重建方法:WGCNA和MIIC.
  • 为了说明这些方法在识别与介质细胞 stromal 细胞活动相关的基因相互作用的应用.

主要方法:

  • 权重基因关联网络分析 (WGCNA) 用于生成非定向的基因网络.
  • 基于多变量信息的诱导因果关系 (MIIC) 用于揭示直接和因果基因相互作用.

主要成果:

  • WGCNA确定了广泛的基因相关性,通常是间接的.
  • MIIC精确指出了基因间直接的相互作用,并推断出因果关系.
  • 这项研究应用了这些方法来研究支持造血干细胞活动的基因网络.

结论:

  • WGCNA和MIIC提供了对基因网络架构的互补观点.
  • 结合这些方法,可以更全面地了解生物系统中的基因相互作用.
关键词:
在MIIC中,MIIC是MIIC.在WGCNA中,WGCNA是WGCNA.细胞是血型细胞的血型细胞.基因网络 基因网络造血干细胞 造血干细胞基因网络的基因网络.肌肉干支 (Stroma) 是一种干支.

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  • 这种方法对于剖析复杂的细胞功能,如干细胞支持,是有价值的.