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相关概念视频

Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

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Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
71.1K
Structure of a Gene01:30

Structure of a Gene

12.2K
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...
12.2K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...
21.9K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

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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).
57.5K
Position-effect Variegation02:32

Position-effect Variegation

6.2K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
6.2K
Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

23.1K
Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
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相关实验视频

Updated: May 10, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
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Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

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十进制Hill系数,中间过程和基因表达中的中镜波动之间的关系.

Manuel Eduardo Hernández-García1, Jorge Velázquez-Castro1

  • 1Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias Físico-Matemáticas, Avenida San Claudio y 18 Sur, Col. San Manuel, Heroica Puebla de Zaragoza, Puebla 72570, México.

ACS omega
|April 21, 2025
PubMed
概括

这项研究解释了为什么基因表达经常显示非整数希尔系数. 中间结合过程和转录因子位点的度波动导致观察到的这个十进制希尔系数.

科学领域:

  • 分子生物学分子生物学
  • 生物物理学的生物物理.
  • 系统生物学 系统生物学

背景情况:

  • 希尔函数模型的联体受体结合,对基因调节网络至关重要.
  • 它经常用于匹配基因表达数据,通常产生非整数希尔系数.
  • 现有的模型往往简化了转录因子结合,忽视了中间步骤.

研究的目的:

  • 研究基因表达中的非整数希尔系数的起源.
  • 为了明确模拟转录因子结合中的中间过程和度波动.
  • 建立这些过程与观察到的十进制希尔系数之间的机械联系.

主要方法:

  • 开发了一种包含转录因子结合的中间状态的模型.
  • 在结合部位分析中包括了中视镜度波动.
  • 在波动条件下,导出解离常数和希尔系数之间的关系.

主要成果:

  • 证明中间结合过程和度波动直接导致非整数希尔系数.
  • 建立了底层分子机制与十进制希尔系数之间的定量关系.
  • 表明有效的希尔系数可以从基本参数中预测.

结论:

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

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Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
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  • 为基因表达中非整数希尔系数的流行提供了一种机理性的解释.
  • 提供了一种从分子细节中预测有效希尔系数的方法.
  • 通过机械学理解,简化了复杂的基因表达机制的描述.