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相关概念视频

Protein Networks02:26

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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,...
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No description available
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Sequence Networks of Rotating Machines01:24

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Combinatorial Gene Control02:33

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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...
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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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总结基因网络中的噪音.

Johan Paulsson1

  • 1Department of Molecular Biology, Princeton University, Washington Road, Princeton, New Jersey 08544-1014, USA. J.Paulsson@damtp.cam.ac.uk

Nature
|January 30, 2004
PubMed
概括
此摘要是机器生成的。

遗传网络噪声是不可避免的. 负反减少了这种噪音,新的研究确定了它的来源,提供了一个统一的数学和生物方程.

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科学领域:

  • 系统生物学 系统生物学
  • 分子生物学分子生物学
  • 遗传学 是一个遗传学.

背景情况:

  • 细胞过程涉及的化学反应本质上是概率性的.
  • 细胞中低分子数 (基因,RNA,蛋白质) 会导致随机波动,称为"噪音".
  • 这种生物噪声会影响所有细胞功能,并使用绿色光蛋白 (GFP) 等技术量化.

研究的目的:

  • 批判性地分析最近关于基因表达中的生物噪声的研究.
  • 确定遗传网络中的噪声来源和监管机制.
  • 为理解基因表达噪声提供统一的数学和生物框架.

主要方法:

  • 使用GFP测量基因表达噪声的现有研究分析.
  • 对识别噪声源的方法进行批判性评估.
  • 开发一个统一的数学方程.

主要成果:

  • 负反机制被证明可以抑制生物噪音.
  • 已经确定了基因表达通路内的特定噪声来源.
  • 一个新的方程整合了对噪音的数学和生物视角.

结论:

  • 生物噪音是遗传网络的固有特征.
  • 负面反在降低噪音方面发挥着至关重要的作用.
  • 提出的方程提供了一种统一的方法来理解和量化基因表达噪声.