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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.
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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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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Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form...
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魔术:一个多式适应型GRN推理构造器.

Dengju Yao1, Binbin Zhang1, Xiaojuan Zhan2

  • 1School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China.

Journal of chemical information and modeling
|December 2, 2025
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概括
此摘要是机器生成的。

本研究介绍了MAGIC,这是一种从单细胞RNA测序数据中构建基因调节网络 (GRNs) 的新方法. MAGIC集成多式联运数据以提高准确性和解决稀疏性,优于现有方法.

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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.
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因调节网络 (GRNs) 对于了解细胞过程和疾病至关重要.
  • 从单细胞RNA测序 (scRNA-seq) 数据中推断GRN是具有挑战性的,因为数据稀疏性和稀疏的网络连接.
  • 现有的方法很难充分利用多式联络生物数据来准确推断GRN.

研究的目的:

  • 从scRNA-seq数据中推断基因调节网络 (GRNs) 的强大方法.
  • 为了应对GRN推断中数据稀疏性和稀疏连接性的挑战.
  • 整合多式联运数据源,以增强GRN建设.

主要方法:

  • 提出了多模式适应性GRN推理构造器 (MAGIC) 方法.
  • 综合基因表达,序列和语义特征.
  • 采用共享图表注意力重量对齐和知识意识多模式融合模块.
  • 通过整合共识相似性和已知的GRNs,构建了一个双拓网络.

主要成果:

  • 在7个scRNA-seq数据集中,MAGIC的平均AUROC为0.839.
  • 超越了最先进的GRN推理模型.
  • 在膀和乳腺癌的空间转录基因数据上表现出稳健性.
  • 成功地发现了转录因子和目标基因之间的潜在关联.

结论:

  • MAGIC有效地整合了多式联运数据,以提高GRN推断的准确性.
  • 该方法解决了用于GRN构建的scRNA-seq数据分析的关键挑战.
  • 在复杂的生物系统和疾病中的调节关系中,MAGIC显示出有希望的结果.