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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

5.2K
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...
5.2K
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
Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

11.1K
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...
11.1K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

2.0K
2.0K
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

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相关实验视频

Updated: Jun 21, 2025

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
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Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations

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STAN是一个计算框架,用于推断空间信息转录因子活动的推断.

Linan Zhang, April Sagan, Bin Qin

    bioRxiv : the preprint server for biology
    |July 9, 2024
    PubMed
    概括

    我们开发了STAN,这是一种计算方法,可以使用空间转录学绘制组织内转录因子 (TF) 活动的地图. STAN揭示了TF网络如何影响它们在当地的微环境中的细胞身份和功能.

    科学领域:

    • 基因组学就是基因组学.
    • 计算生物学 计算生物学
    • 细胞生物学 细胞生物学

    背景情况:

    • 转录因子 (TF) 调节细胞对环境和信号线索的反应.
    • 细胞的命运和功能受到邻近细胞和TF活动的影响.
    • 空间转录学 (ST) 提供了组织水平的mRNA表达,但尚未完全用于估计TF活动.

    研究的目的:

    • 开发一种计算方法,从ST数据中预测空间信息化的TF活动.
    • 整合TF-目标基因信息,基因表达和空间数据.
    • 揭示TF网络在细胞身份和空间组织中的作用.

    主要方法:

    • 引入了STAN (空间信息转录因子活动网络),一种线性混合效应模型.
    • 集成的TF目标基因先验,mRNA表达,空间坐标和成像数据.
    • 将STAN应用于淋巴结,乳腺癌和质母细胞瘤ST数据集.

    主要成果:

    • STAN成功地预测了现货特定的TF活动.
    • 确定了与不同细胞类型,空间域和病理区域相关的TF.
    • 在组织微环境中揭示了TF与联体受体相互作用的关联.

    更多相关视频

    Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
    12:54

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

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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

    Published on: February 11, 2019

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    相关实验视频

    Last Updated: Jun 21, 2025

    Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations
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    Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations

    Published on: April 21, 2023

    2.0K
    Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
    12:54

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

    Published on: March 7, 2018

    13.5K
    Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
    11:25

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

    Published on: February 11, 2019

    7.9K

    结论:

    • STAN增强了ST数据的实用性,以了解TF在细胞环境中的作用.
    • 该方法阐明了TF活动与空间组织之间的相互作用.
    • STAN为剖析组织中TF驱动的细胞异质性提供了一个框架.