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Transcription Factors02:16

Transcription Factors

76.1K
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...
76.1K
Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

11.2K
Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
Types of ChIP
ChIP can be divided into two types - X-ChIP and N-ChIP. X-ChIP involves in vivo cross-linking of histones and regulatory proteins to DNA, fragmenting the DNA by sonication, and isolating the protein-DNA...
11.2K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.4K
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...
8.4K
General Transcription Factors01:30

General Transcription Factors

5.4K
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...
5.4K
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
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

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相关实验视频

Updated: Jul 16, 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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计算工具用于推断转录因子活动的推断.

Dennis Hecker1,2,3, Michael Lauber4, Fatemeh Behjati Ardakani1,2,3

  • 1Goethe University Frankfurt, Frankfurt am Main, Germany.

Proteomics
|September 14, 2023
PubMed
概括
此摘要是机器生成的。

计算工具估计转录因子活性 (TFA),以了解细胞调节. 本研究回顾了这些工具,它们的应用以及研究人员的局限性.

关键词:
生物信息工具是生物信息工具.基因调节 基因调节 基因调节基因监管网络 基因监管网络转录因子活动活性.

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Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
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Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences

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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

Last Updated: Jul 16, 2025

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

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

Published on: June 27, 2020

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Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
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Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences

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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

Published on: March 7, 2018

13.6K

科学领域:

  • 分子生物学分子生物学
  • 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:

  • 转录因子 (TFs) 是细胞过程的关键调节者,但它们的确切功能和相互作用是复杂的,难以实验研究.
  • 每个TF的细胞类型特异性和独特特征使其调节网络的实验阐明变得艰难.
  • 计算方法对于推断TF活动 (TFA) 和监管机制越来越重要.

研究的目的:

  • 提供可用于估计转录因子活性 (TFA) 的计算工具的全面概述.
  • 用相关的例子说明这些TFA估计工具的实际应用.
  • 讨论验证计算结果的常见策略以及这些方法固有的假设和局限性.

主要方法:

  • 对TFA估计现有计算工具的审查和综合.
  • 分析这些工具使用的各种数据模式 (例如,TF-目标基因映射,全基因组方法).
  • 检查结果验证技术,并对基本假设进行批判性讨论.

主要成果:

  • 识别和分类用于TFA推断的各种计算工具.
  • 展示这些工具如何为TF监管角色提供洞察力.
  • 强调仔细验证和意识到方法学局限性的重要性.

结论:

  • 计算工具有助于理解转录因子活动和监管网络.
  • 这些工具为优先考虑TF函数的实验验证提供了有价值的见解.
  • 对工具假设和局限性的批判性理解对于可靠的生物解释至关重要.