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相关概念视频

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 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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Regulation of Expression Occurs at Multiple Steps02:24

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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.
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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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相关实验视频

Updated: Jun 18, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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完善基因调节网络的计算推理:将淘汰数据集成到多任务框架中.

Wentao Cui1,2, Qingqing Long1, Meng Xiao1,2

  • 1Computer Network Information Center, Chinese Academy of Sciences, CAS Informatization Plaza No. 2 Dong Sheng Nan Lu, Haidian District, Beijing, 100083, China.

Briefings in bioinformatics
|July 31, 2024
PubMed
概括

本研究介绍了MTLGRN,这是一个用于基因调节网络 (GRN) 重建的新型图形神经网络 (GNN) 框架. MTLGRN有效地集成基因促进子序列和生物特征,以提高GRN推断的准确性.

关键词:
基因淘汰赛 基因淘汰赛基因监管网络 基因监管网络图表神经网络的神经网络

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科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 系统生物学 系统生物学

背景情况:

  • 基因调节网络 (GRNs) 对于理解细胞过程至关重要.
  • 目前用于GRN推断的计算方法难以整合先前的生物知识.
  • 准确的GRN重建对于破译复杂的生物系统至关重要.

研究的目的:

  • 开发一种用于增强基因调控网络 (GRN) 重建的新型计算框架.
  • 改进利用现有的拓信息和GRN推理中的先验知识.
  • 在GRN重建背景下,在批量数据上开创基因淘汰的模拟.

主要方法:

  • 提出了一个基于图形神经网络 (GNN) 的多任务学习框架 (MTLGRN).
  • 编码的基因促进子序列和生物特征,连接的表示.
  • 构建了一个多任务学习框架,包括GRN重建,基因淘汰预测和基因表达矩阵重建.

主要成果:

  • 在GRN重建中,MTLGRN在最先进的基线上表现优越.
  • 该框架有效地利用了生物知识,包括促进体特征和基因淘汰信息.
  • MTLGRN成功地整合了基因淘汰模拟与GRN推断的批量数据分析.

结论:

  • 通过整合各种生物数据,MTLGRN提供了一种强大的方法来准确地重建GRN.
  • 该框架增强了对基因调节关系的全面理解.
  • MTLGRN代表了系统生物学研究计算方法的重大进步.