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相关概念视频

Transcription Factors02:16

Transcription Factors

75.8K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
75.8K
General Transcription Factors01:30

General Transcription Factors

5.3K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
5.3K
RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

9.2K
Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
9.2K
Eukaryotic Transcription Activators02:42

Eukaryotic Transcription Activators

11.0K
Transcription activators are proteins that promote the transcription of genes from DNA to RNA. In most cases, these proteins contain two separate domains ‒ a domain that binds to DNA and a domain for activating transcription; however, in some cases, a single domain is responsible for both binding and activation of transcription, as seen in the glucocorticoid receptor and MyoD.
The binding domains are capable of recognizing and interacting with regulatory sequences on the DNA. These...
11.0K
Co-activators and Co-repressors02:04

Co-activators and Co-repressors

7.4K
Gene transcription is regulated by the synergistic action of several proteins that form a complex at a gene regulatory site. This is observed in eukaryotes, where the regulation of gene expression is a complex process. Regulatory proteins in eukaryotes can broadly be classified into two types – regulators that bind directly to specific DNA sequences and co-regulators that associate with regulatory proteins but cannot directly bind to the DNA. These co-regulators are further divided into...
7.4K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.3K
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...
8.3K

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相关实验视频

Updated: Jul 1, 2025

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
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Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

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使用先前的生物信息预测转录因子活性.

William M Yashar1,2,3, Joseph Estabrook1,4,5, Hannah D Holly4,5

  • 1Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA.

iScience
|March 8, 2024
PubMed
概括

我们开发了Priori,一种使用RNA测序数据来预测转录因子活性的新方法. 普里奥里通过准确检测异常转录因子活性来改善疾病的理解.

关键词:
生物计算方法是一种生物计算方法.生物约束 生物约束基因网络 基因网络基因调节的分子机制

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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

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相关实验视频

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Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 分子生物学分子生物学

背景情况:

  • 转录因子 (TF) 失调是疾病发病的一个关键驱动因素.
  • 准确检测异常TF活动对于了解疾病机制至关重要.

研究的目的:

  • 介绍Priori,一种新的计算方法,用于从RNA测序 (RNA-seq) 数据中预测TF活动.
  • 突出Priori在敏感性,特异性和生物相关性方面比现有方法的优势.

主要方法:

  • 普里奥里集成了文献支持的监管信息,以建立TF目标基因关系.
  • 线性模型用于量化TF调节对基因表达的影响.
  • 一个第三方的基准测试管道评估了Priori与其他11种方法相比,使用了124个单基因扰动实验.

主要成果:

  • 与其他11种方法相比,先验方法在检测异常TF活动方面表现出更高的灵敏度和特异性.
  • 对患者数据集应用Priori揭示了乳腺癌存活率的独特决定因素.
  • 普里奥里在白血病患者样本中确定了药物反应的关键媒介.

结论:

  • 普里奥里是一种高度敏感和特定的方法,用于从RNA-seq数据中预测转录因子活性.
  • 普里奥里提供了对疾病发病,生存决定因素和药物反应机制的独特见解.
  • 这种方法在推进精准医学和治疗目标发现方面具有重大潜力.