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関連する概念動画

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

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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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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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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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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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Updated: Jan 11, 2026

Cell-Specific Gene Expression
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致死性疾患との間の生態学的干渉

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
まとめ
この要約は機械生成です。

病原体間の生態学的干渉は,一つの病気が個人を感受性のプールから取り除く場合,疫病の動態に大きな影響を与えます. この効果は,致命的な感染で最も強く,アウトブレイクが相から外れて発生します.

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関連する実験動画

Last Updated: Jan 11, 2026

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科学分野:

  • 人口生物学 人口生物学
  • エピデミオロジー エピデミオロジー
  • 病気の生態学 病気の生態学とは

背景:

  • 病原体の相互作用は,集団生物学において極めて重要です.
  • 以前の研究は,病原菌株間の交叉免疫に焦点を当てていた.
  • 新しいメカニズムである"生態学的干渉"は,病原体が,感受性のプールから宿主を除去することによって,互いに影響することを示唆しています.

研究 の 目的:

  • 病原体間の生態学的干渉の提案されたメカニズムを調査する.
  • この相互作用を理解するために,過去の疾患データを分析する.
  • 生態学的干渉のダイナミックな結果をモデル化するために.

主な方法:

  • 歴史的な麻疹と百日咳の記録の分析.
  • 病気のダイナミクスの数学モデリング.
  • 異なる干渉シナリオの下での流行パターンの比較.

主要な成果:

  • 生態学的干渉は,疾患動態の重要な要因である.
  • この効果は,感染が致命的な場合に特に顕著であり,受容性を永久に排除します.
  • 異なる病気の多年にわたるアウトブレイクは,特徴的に相違していることが観察されました.

結論:

  • 生態学的干渉,特に致死性疾患の干渉は,流行病のパターンを大幅に変化させます.
  • 病原菌を孤立的に研究することは,疾患の罹患率と死亡率が高い場合に不十分です.
  • この生態学的ゼロモデルは,デング熱やエコーウイルスなどの病気を含む,多株の病原体ダイナミクスを理解するための新しい枠組みを提供します.