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Combinatorial Gene Control02:33

Combinatorial Gene Control

9.8K
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...
9.8K
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

7.5K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
7.5K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.5K
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...
1.5K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

4.1K
4.1K
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

26.7K
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...
26.7K
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

7.5K
Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
7.5K

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相关实验视频

Updated: Mar 4, 2026

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
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An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

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在基因调控网络中使用信号时间逻辑进行帕雷托-最佳干预.

Seyed Hamid Hosseini1, Derya Aksaray1, Mahdi Imani1

  • 1Department of Electrical and Computer Engineering at Northeastern University.

Proceedings of the ... American Control Conference. American Control Conference
|March 3, 2026
PubMed
概括

这项研究引入了优化基因调节网络 (GRN) 干预的新框架,考虑了稳定性和副作用等多个目标. 它为生物学家提供灵活,强大的解决方案,用于复杂的生物系统管理.

科学领域:

  • 系统生物学 系统生物学
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因调控网络 (GRNs) 是复杂且不确定的生物系统.
  • 目前的干预方法往往只关注平均性能,忽视了诸如最坏情况和系统稳定性等关键因素.

研究的目的:

  • 制定一个框架,用于在GRN中确定帕雷托最佳干预政策.
  • 在生物干预中解决多个相互竞争的目标,包括性能,反应时间,频率和稳定性.
  • 为生物学家提供一套灵活的,针对实验需求量身定制的解决方案.

主要方法:

  • 模拟GRN随机动态,使用带有扰动的布尔网络 (BNp).
  • 制定干预问题作为一个受约束的多目标优化任务.
  • 使用信号时间逻辑 (STL) 进行政策评估,重点是尽量减少副作用和干预频率.

主要成果:

  • 创建一个帕雷托最佳的干预政策.
  • 通过数值实验,在实现强大和高效的干预性能方面表现出有效性.
  • 提供了一系列平衡多个干预目标的解决方案.

结论:

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Rapid Development of Cell State Identification Circuits with Poly-Transfection

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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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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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相关实验视频

Last Updated: Mar 4, 2026

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An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

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  • 拟议的框架有效地处理GRN干预的复杂性和不确定性.
  • 它可以确定考虑多个,往往相互冲突的目标的最佳政策.
  • 为系统生物学研究和治疗开发提供了有价值的工具.