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相关概念视频

Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Combinatorial Gene Control02:33

Combinatorial Gene Control

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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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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...
22.4K
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

9.7K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Epigenetic Regulation01:37

Epigenetic Regulation

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Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...
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相关实验视频

Updated: Jun 4, 2025

Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells
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从优化原则推导出一个遗传调节网络.

Thomas R Sokolowski1,2, Thomas Gregor3,4, William Bialek3,5

  • 1Institute of Science and Technology Austria, Klosterneuburg AT-3400, Austria.

Proceedings of the National Academy of Sciences of the United States of America
|January 3, 2025
PubMed
概括

生物系统优化基因网络的性能. 这项研究优化了Drosophila缺口基因网络,找到最优的解决方案与自然模式密切匹配,并提供进化见解.

关键词:
这种植物是Drosophila.进化 演化 演化 演化 演化 演化 演化 演化基因监管网络 基因监管网络优化的优化优化优化.

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A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression
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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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科学领域:

  • 发育生物学是发展生物学.
  • 系统生物学 系统生物学
  • 计算生物学是一种计算生物学.

背景情况:

  • 生物系统通常在物理极限附近运行,这表明优化原则指导了它们的设计.
  • 优化原则仅限于简化模型,缺乏详细的机械应用.

研究的目的:

  • 在Drosophila缺口基因网络的详细机械模型中探索优化原理.
  • 在现实的生物约束下,最大限度地利用基因表达对核位置的信息.

主要方法:

  • 开发了一种详细的机械模型Drosophila缺口基因网络.
  • 优化了50多个参数,以最大限度地传输有关核位置的信息.
  • 嵌入了现实的约束,如分子可用性限制.

主要成果:

  • 获得了最优的网络,这些网络与实际的Drosophila胚胎的架构和空间基因表达特征非常相似.
  • 在最大限度地提高功能效率时,量化性能权衡.
  • 确定必要的与随机的网络特征.

结论:

  • 优化原理可以解释复杂的基因调节网络的结构和功能.
  • 该框架允许探索替代网络配置和进化途径.
  • 表明了跨相关物种的多个优化解决方案的潜力,告知了基因调控网络的演变.