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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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Insulin: The Receptor and Signaling Pathways01:28

Insulin: The Receptor and Signaling Pathways

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Insulin action is mediated through a receptor tyrosine kinase, akin to the IGF-1 receptor. The number of receptors per cell varies significantly, from 40 on erythrocytes to 300,000 on adipocytes and hepatocytes. The insulin receptor consists of linked α/β subunit dimers, forming a heterotetramer glycoprotein with two extracellular α subunits and two β subunits spanning the membrane. The α subunits inhibit the inherent tyrosine kinase activity of the β subunits, but...
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RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

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Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
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Transcription Factors02:16

Transcription Factors

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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Methods of Nuclear Reprogramming01:24

Methods of Nuclear Reprogramming

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Nuclear reprogramming is a process of transforming one cell type into an unrelated cell type by epigenetic changes that alter the cell’s original gene expression pattern. Such epigenetic changes force cells to express a different set of genes, which play a significant role in inducing transformation into other cell types. Nuclear reprogramming offers applications in reproductive cloning for livestock propagation and regenerative medicine — developing patient-specific cells for...
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General Transcription Factors01:30

General Transcription Factors

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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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相关实验视频

Updated: Jan 11, 2026

Cell-Specific Gene Expression
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Cell-Specific Gene Expression

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致命疾病之间的生态干扰.

P Rohani1, C J Green, N B Mantilla-Beniers

  • 1Institute of Ecology, University of Georgia, Athens, Georgia 30602-2202, USA. rohani@uga.edu

Nature
|April 25, 2003
PubMed
概括
此摘要是机器生成的。

病原体之间的生态干扰,其中一种疾病将个体从易感池中移除,显著影响流行病动态. 这种效应在致命感染中最为强烈,导致疫情爆发.

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相关实验视频

Last Updated: Jan 11, 2026

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Insulin: The Receptor and Signaling Pathways
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科学领域:

  • 人口生物学 人口生物学
  • 流行病学 流行病学
  • 疾病生态学 疾病生态学

背景情况:

  • 病原体相互作用在人口生物学中至关重要.
  • 以前的研究集中在病原体菌株之间的交叉免疫力.
  • 一种名为"生态干扰"的新机制表明,病原体通过从敏感池中移除宿主来相互影响.

研究的目的:

  • 为了研究病原体之间的生态干扰的拟议机制.
  • 分析历史疾病数据以了解这种相互作用.
  • 为了建模生态干扰的动态后果.

主要方法:

  • 历史麻疹和百日咳记录的分析.
  • 疾病动态的数学建模.
  • 在不同的干扰场景下,流行病模式的比较.

主要成果:

  • 生态干扰是疾病动态的一个重要因素.
  • 当感染致死时,这种效应特别明显,永久地去除易受感染者.
  • 观察到,不同疾病的多年性疫情的特征是相异.

结论:

  • 生态干扰,特别是致命疾病,大大改变了流行病的模式.
  • 当疾病流行率和死亡率高时,单独研究病原体是不够的.
  • 这种生态零模型为了解多菌株病原体动态提供了一个新的框架,包括登革热和声病毒等疾病.