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相关概念视频

Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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相关实验视频

Updated: Mar 12, 2026

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
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一个全细胞计算模型可以从基因型预测表型.

Jonathan R Karr1, Jayodita C Sanghvi, Derek N Macklin

  • 1Graduate Program in Biophysics, Stanford University, Stanford, CA 94305, USA.

Cell
|July 24, 2012
PubMed
概括

研究人员创建了Mycoplasma genitalium的全细胞计算模型,整合了所有分子组件和相互作用. 这种模型有助于理解复杂的表型,并促进生物发现.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 系统生物学 系统生物学
  • 微生物学 微生物学

背景情况:

  • 从分子相互作用中理解复杂的表型是一个重大的生物学挑战.
  • 计算方法为模拟细胞过程提供了强大的工具.

研究的目的:

  • 开发一个全面的全细胞计算模型的人类病原体Mycoplasma genitalium.
  • 将所有分子组件及其相互作用整合到一个单一模型中.
  • 使用该模型了解细胞行为,并促进生物发现.

主要方法:

  • 采用了一个整合性的数学建模方法.
  • 多种不同的数学技术被结合起来,包括不同的细胞过程和实验数据.
  • 该模型解释了Mycoplasma genitalium的所有注释基因功能.

主要成果:

  • 全细胞模型成功模拟了Mycoplasma genitalium的生命周期.
  • 模型验证与广泛的实验数据进行了对比.
  • 该模型揭示了以前没有观察到的细胞行为,例如体内蛋白质-DNA关联率.
  • 确定了DNA复制启动和复制持续时间之间的反向关系.

结论:

  • 综合的全细胞模型是生物发现的宝贵工具.
  • 开发的模型提供了对细胞机制的洞察,并预测了新的生物功能.
  • 以模型预测为指导的实验分析确定了新的运动参数和生物功能.